diff --git a/script/applications/eca_san_salvador/San_Salvador_Adaptation.ipynb b/script/applications/eca_san_salvador/San_Salvador_Adaptation.ipynb new file mode 100644 index 000000000..bf974ba4e --- /dev/null +++ b/script/applications/eca_san_salvador/San_Salvador_Adaptation.ipynb @@ -0,0 +1,933 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# ADAPTATION OPTIONS APPRAISAL IN SAN SALVADOR\n", + "\n", + "Demographic and economic growth as well as climate change will perturb the risk estimate obtained in [San Salvador Risk](San_Salvador_Risk.ipynb) over the following years. In this section we will consider a plausible future scenario and see how it will affect the region of study. Moreover, we will define household adaptation measures and estimate their cost-benefit relation." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## ENTITY IN 2015\n", + "\n", + "A climada entity contains the socio-economic parameters for a fixed year. These are: exposures, impact functions, adaptation measures and discount rates for the following years. `FL_entity_Acelhuate_houses.xlsx` contains the entity of 2015:" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2019-04-04 20:21:29,464 - climada - DEBUG - Loading default config file: /Users/aznarsig/Documents/Python/climada_python/climada/conf/defaults.conf\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/aznarsig/anaconda3/envs/climada_env_comp/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", + " from ._conv import register_converters as _register_converters\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2019-04-04 20:21:36,320 - climada.entity.exposures.base - INFO - crs set to default value: {'init': 'epsg:4326'}\n", + "2019-04-04 20:21:36,321 - climada.entity.exposures.base - INFO - value_unit metadata set to default value: USD\n", + "2019-04-04 20:21:36,321 - climada.entity.exposures.base - INFO - centr_ not set.\n", + "2019-04-04 20:21:36,325 - climada.entity.exposures.base - INFO - category_id not set.\n", + "2019-04-04 20:21:36,326 - climada.entity.exposures.base - INFO - region_id not set.\n", + "2019-04-04 20:21:36,327 - climada.entity.exposures.base - INFO - geometry not set.\n", + "Total value in 2015: 1.836e+08\n", + "2019-04-04 20:21:36,328 - climada.entity.exposures.base - INFO - Setting geometry attribute.\n", + "2019-04-04 20:21:36,507 - climada.entity.exposures.base - INFO - Raster from resolution 9.99999999891088e-05° to 9.99999999891088e-05°.\n" + ] + }, + { + "data": { + "text/plain": [ + "(
,\n", + " [])" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "%matplotlib inline\n", + "from climada.entity import Entity\n", + "\n", + "ent_2015 = Entity()\n", + "ent_2015.read_excel('FL_entity_Acelhuate_houses.xlsx')\n", + "ent_2015.exposures.ref_year = 2015 # fix reference year\n", + "ent_2015.check()\n", + "\n", + "# Exposures: the ones we used in San Salvador Risk script\n", + "print('Total value in 2015: {:.3e}'.format(ent_2015.exposures.value.sum()))\n", + "fig, ax = ent_2015.exposures.plot_raster(raster_f=lambda x:x, label='value (USD)')\n", + "ax[0, 0].set_title('Exposure 2015')\n", + "\n", + "# Impact Functions: the ones we used in San Salvador Risk script\n", + "ent_2015.impact_funcs.get_func('FL', 101).plot()\n", + "ent_2015.impact_funcs.get_func('FL', 102).plot()\n", + "\n", + "# Discount rate: 2% yearly discount year until 2040\n", + "ent_2015.disc_rates.plot()\n", + "\n", + "# Adaptation measures: we'll look at them later in this script" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## ENTITY IN 2040: MODERATE ECONOMIC GROWTH\n", + "\n", + "In 2014 the economic activity had increased 2% in the metropolitan area of San Salvador. The sectors that grew faster were housing and service (4%), insurance and banking (3.4%), communal services (3.2%) and the hotel and restaurant industry (3.2%). We will fix a conservative discount rate of 2% in this analysis. The construction type will remain the same, meaning that the impact functions don't change." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2019-04-04 20:21:42,178 - climada.entity.exposures.base - INFO - centr_ not set.\n", + "2019-04-04 20:21:42,179 - climada.entity.exposures.base - INFO - category_id not set.\n", + "2019-04-04 20:21:42,180 - climada.entity.exposures.base - INFO - region_id not set.\n", + "Total value in 2040: 3.072e+08\n", + "2019-04-04 20:21:42,235 - climada.entity.exposures.base - INFO - Raster from resolution 9.99999999891088e-05° to 9.99999999891088e-05°.\n" + ] + }, + { + "data": { + "text/plain": [ + "Text(0.5,1,'Exposure 2040')" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+1xpoOTuhkjohggvTcqV2jP5SMPWlrQCAzisGu86mTGkvzJwA20swKfkCk0TRs+sfjLx04XQNXieM4v4tp1DQ9EDdaKLO5dEQc+zZ08XJJk0E4FBDBgOCIAiCIAjCRCAJxNUjgwFBEARhJJTNEQD690BMIp25eup7o+RypoIPgIxXwJxWpYfA3E7Reoct8jbzVOQxOXhMM542//NnoTlXBz7x9Uz7UXgCeuUK9NPejvnvp+24ETSS2Py4iFgz6joGdQ9h3UNQ9+C3onm1vZFsbPC8VfFyiYcg+t9dVYcd5WPmDOQVJDNaI2DJGagSGQwIgiAIY0O/UqbLQb/ymFUdh2sQUOW6ljrUyB7kzGLpEoU1/Q4CRrHOcZQbNWViy+B1olC28KGoenX9rNMR1qIOO6sK4Xal8GG2J1SLDAYEQRAEQRCEiYABhKImVCkyGBAEQRCWnH6t5XzOutT3KgtpjZrWZWlpxuZX7ht6nUVW/EE9CEXL2cm+tlW/KswQoJm1cxgs5Xo0zFx3b+WehFF4JqqkthhkKwkHUbgP+z7YI7BP6K5SIXAq8bh2oIPO6nRYnE6E9xcDeItKKnhAr5nkDFSLDK0EQRAEQRAEYYUingFBEAShckxLvrbiF0lJakuzy1JoFjDSVsnlpIw1s9+8gjJobwCfsy4+v/rcDptP0FpTz503c929fcmATgrjapU3z/WoPDBATiJ6I20j9h2F5Lgg9l/jzbeBNc30tFbkGaC7HhxK/pdZEoirRgYDgiAIy8xSa8a7lHxGqe5TZUfSDg8yQ3B0EmLjhm2VbW9QzPPXOPeMJd12Ucd+EMKXnwEoHfhYD/6s08F+ukNG39hR6XaF0RBc4BgENK0KHpx013XVbw2pugHNpxeiDj8RwnrUZmrn/mh9c0009raj9hMU0rdSkcGAIAiCIAiCMDGEkjNQKTIYEARBmFDCl6ctzsRJGE1nNm0dHlYL3kWRDn13pob6PmUZVPri4XT0k+MtdDPr2vsLkaTk4Y/vj6dp63rQTCzQNKCVPVNR9d++PdB6BmFQi7ntMartUem0hqV1KUJdzLAQ7051nc86He3DrHvMCOfyvj668JZhGfSc9VpuEElQ1zpJhebQ3RVa1M86PTtNG/8L+tWpOgPKI9DWicGr61hlted6mRrhwxEVHZMwoSqRsykIgiAIgiAIKxTxDAiCICwzZXIE2LKIm1U6O7PJq7y5u7cYoysfYNgcAZ0XkIk9NnB5BGz2vGx1yjvQCwo5jmm2Y5sBd3z0pBLMRTWLw4s29mjpZlBpzO5Mck3jT/c8BLxqs7M9gEyC80qgKi9NMBM9z+Elm+Jpg+bB6FygsKCqL4WMmno2u1P5z6+rMJi/2EVtoQtfeQHjtiO97pJAXDUyGBAEQRAEQRAmAik6Vj0yGBAEQZgA2LLsBdM5Frx7HgIAVKsn48a/7f5ipaCtD0f/t5w21HbIMEiGjcE6AbEKzgShPUb6HC8e2RhqfWVj3stauJvPLqYnqOsdXLgBXIvuz9FHkK8M7JyX2i3uHKCu5TXyS3jjAMRqUfX5qH17LnmDeJ20vGj9QNSGQgbWRPckP1Cd+piw9MhgQBAEYUQsXLEl/jz9xa0j246W8KuCIn18VyiRrYPuG8sHKsHZuzNKoG0bYQ+608G14VRB/HYIJmugpEKDzMTjhg6f0gOUtXNDbXcpoU5+bQU7aXUUCcWNPR3n9M7haR35pRiAjhrzfFZ5LvsZaLG6nc1BsA6Bcw1qzQF5drAcdfP8VpAksluhc9RlhCpJ3DVk9rSsrA4TUt+9O3fAWzsHb+e+XodUOQGLmlCV9DSxENE1RPQ0ET1iTHs/ET1ERDuI6EYiOi5n2Rep+Y8T0WNE9BI1/SIiup+IHiGiTxFRTU2/wljvNiJ6ubGud6hlXmdMYyL6sPH9t4noDwc4D4IgCIIgCIKw4ijjGfgkgL8AcK0x7UPM/PsAQERvB/AHAN7qWPZaAFcx801ENAsgJCIPwKcAXMzM3yKiPwLwJgBXA7gFwPXMzER0OoDPAvgJtexmAFsA/BOAz6j1twD8LBH9MTM/28+BC4IgTBK2VOOkR8zaicarfmRYny1DuL8YDLTOFNojoOiedQq6uyOPSl7IRdWYlZSB9DXNzOsEcchXEVVar/PWFTR9+Islw02A2MoMjFeYUJlzNSqp1kHW63XC1LkEknvVTIwn7h0C15mtAcoz19wVecm0cZ1ryTa0B0JXHqaQCz1TywGDRFq0YnqeTWb+GoBd1jTTJ7QKDs8SEZ0MoMbMN6ll5pn5IIAjAbSY+Vuq6U0Afs5oo9dlrlf7g+ztdAF8HMA7eh2HIAiCIAiCMPmE7I38byUxcM4AEV0F4I0A9gK40NHkpQD2ENF1AI4HcDOAdwN4FkCdiDYx8zYArwHwQmO9rwbwxwCeB+CnAICZ9xPRwwC2AfiQtZ2/BPAQEf2vsvu+ZoJiRZeDuWNml3sXhB7INRpvmldsxPT+DqaNaVOT8t556oepr3TyCfFnLnMM1vIAkvj8RyMbULD5ZISWFb++P7LSd6drwBFRUqK/tj9rqtdKx7bzo99Kvlj7vspIkKwt0bUJj0gnAHtr5+Lze/C4mdS8+nwAvObs6Isygx15IDo+fuRbWHiFo4iURVPF+rcOT461flAVpZvp3dmp71cemTUN+Ivqel0e5cF0VyXdB51g6l8WWZ67q5PjHObcVv2em5pLZzVM3/xQqfO41ExvfTwzLdz4MgAAv/qszLzYa+MRQl9dV315p9QHMwn/xenzWrvnUfC6nwBgCBMYIfme8hJ47eh+8PZHiePh2rnR/RY5XiPC6Bh4MMDM7wXwXiJ6D4C3AXifY93nAVgP4AeIQnvezMxXE9HrAXyEiJoAbkRk4dfr/QKALxDRTwJ4P4BXqOl/jGiQYO/HPiK6FsDbASyU2ffdy5DsMmnIORp/5BqNL9P7O9hlJfVOT+j1omOSugVc0TEEJ7QRWHrmDVVdt7sqCUkoGx6k8RatwUDB/nb3dbBbhwkt0bUJj0/fE97OffH5PWBVjG7sNcJyVEdOD5h45z4c3OdO6jWZUse3aPT76/PROe10ewfwNPYk+xCr0qhOYscIHdEhJb4arHSMy1Yf8txW+Z6zz9lMyfO41Mw4jlnfO65aGv5BdQweIdQhP3Y7I9LHTjKu7dwHfmF0H+oaB2Z+rt9Sg4FWdA/4e6PBQKD2c6l/i6QCcfVUoSb0DwC+jOxgYCeAB5j5OwBARP8M4CwAVzPz3YgGCiCiVyLyIqRg5q8R0Y8T0VEl8gH+fwD3A/jboY5EEARhBIxSSWjUDFuMrDQ6Pv7iwQpquTCVkezjqN3z6JINAjT+vOrQ6TjwLafhwNoZZ9v2Ydmf5/reRMrTVhHSmLHpumOoBxZmR9JfjDp4wVR+p0pbgnuhLcdcjwYYthSlMBjheevRmUvfB9SNRoZ+K4yvj4759zohUFfXuOAS6Oul0QXiAMA/qIqPGZ4frcrFvhqwWvk3Sw2DRE2oYgYaDBDRicz8bfX1pwF809HsPgBriOhoZn4GwEWIwnxARM9j5qeVZ+B3AFylpp8A4P+oBOINABoAnuu1P8y8i4g+C+AtAK4Z5JgEQRCqYurWhybWE2BT1KHum7OikAzipOKppvPKRHbU7qxMOnx21NmKk+CC6PgO5gwEctfjOP/9JKamZCmVpKseFNQPdBOrskJLwur9B5LKsg0AtDmqHxE20l4G3WEdd0aVLNxvvQZ7udZlBZWdvaTadjAddeH08xL4g1nL2fcAKwm5fnOUqNx5RX+Dc1Pm1JYdFsaXnoMBIvpHABcAOIqIdiLyALyKiE5CNPb8PpSSEBFtAvBWZr6SmQMi+m0AtxARAdgO4G/Uat9FRJcjimr7GDPfqqb/HIA3ElEHUcjP64yE4l58GFG4kiAIgiAIgnCIIhWIq6XnYICZ3+CYfHVO220ArjS+3wQgk53DzO8C8C7H9D8B8Ce99sloP2t8fgpAf2YWQRCWDLPgVOOGbcu4J0uPKQPo337/yJfrhV1YbFShQMGF6eJGrmqoXSt3gCo0Ki9ZiFO/xIXP+rMc92tp1pEUOubbjBXXHgGdA2B7BTLrUiFGrArJmXKUdlgQdUPQ3Q/2ta+TztRz2cJ/008mYV3BVLq7ZV4LXczL9I5p4nCuAStvl0YV7tP7FapwvdqBbvG1XHcSsLaVOb4ycqeTDhG9A1GflwE8DOCXADwfwKcBHIEofP0XmbmtImGuBbARUcTL65j5e2o970EU2RIAeDsz36CmXwrgo4gUej/BzB8c1bHI0EoQBEEQBEGYCJiBgL2R/xVBRC9AJFyziZlPRdRhfz0ig/ZHmPlEALsRdfKh/u9m5hMAfES10zL8rwdwCoBLAfwVEflE5CNSy7wMwMkA3qDajoQqEogFQRCGQ8WSm9alKi3ho6BrJbouVeGqpaZS67pKEvZVrDng8AwEnI5t19O/scO5StvLMY4MYiWfue7eUp4AV3x6fZ+7QJjXDWPpSbuvQ2wkAqt8Au3Z8W+7P/YIlMX0agGDP8+hsV2dwzAornPlSsQeJJdg8cgGakq2ta5yLOxcChfsJXkAzWcXU/PCZvI+rO9VhcK2PRLNs4rULTe2ylFIhEDlG+j8g+oghBiLBOIagGkV2j4D4AlE+bH/Wc3/FIA/BPAxAFeozwDweQB/oULorwDwaWZuAfguEf07ogK7APDvhgjPp1Xbx0ZxIOIZEARBEARBEIQ0RxHRNuPvV/UMZv4PAH+KSDr/CUQ1t7YD2MPMejS+E8AL1OcXQFVPUPP3IirCG0+3lsmbPhLEMyAIwpLgyhPQknZdrW1tSh8uzW4tCYNaRc3l+Ny0ZTbPUl6GpYilN3NEvE5k6e9eFFkKzXji2oHod7OjCkIFPsVelpSSkbX+cfQImNdIa7IHq+rGNCXVqWVUC+hlnS5SrNF5F7pOQ3c6eZp0/oCWi4yXCbjQPKit8rZHDAACX0mK6uNzaOEPita9B0ZjvRyFopApywkAXpczMfRhLTlHU0+7SyRREMY3vs7R0PcYhRx7FOLtfP2BoT0G2jsUKvnbYLqW21HsvHIT2oc30DKmxbkoBqYaFeD2lNGmU5P2yvuRBwM9w3gq4llmziZyACCiNYgs9ccD2APgc4hCemxiEbGceXnTXQc4skQMGQwIgjBSXMmqpvxcHrozWVMdmnGTqVuqsCA73EIna5rhE7rzN8wAYSkxOzFE1XUclzph2O4Y60RQAPBadmuA9bFanaMqSRUrc6ATRGsHdRExlRhcy78O9kA0t53qsFI3dBbHWm5GJSWq0c9mRgK/z1Oh6zUAAN2l5F1LXANzIOB9/YHMtMJt6us15GXTgxxtAACA0AoFrG0+Dd1V6SJ75nZrm08Dtn6+cDtjUHTsFQC+q6TzQUTXATgHwOFEVFPW/7UAfqTa7wTwQgA7iagG4DAAu4zpGnOZvOmVs+xnUxAEQRAEQRAmiB8AOIuIZlTs/8WI4vlvA/Aa1eZNAL6oPl+vvkPNv1VJ518P4PVE1CSi4wGcCGArolpdJxLR8UTUQJRkfP2oDkY8A4IgLDs6nCFs+in3+TiSsdSrKqC6GFNZTBnB+o3lpVa19d+V0OkKnVkueU3PKDxVuzXtRTELGWlLtQ5fKVtwbGxlQxXd1Q0AAI2oGm+elVs/S6lp2ptUIB9KXY5Dm/S+mwSWdVdXqgWi5za1rrC6aIZJKUA3c9298btBv8FimU6PEo+er4u9RdepthCkPAE2Zb0yNv2ECwVGGJneTx3W5N9WHOLodRhehzPeENPTRJ38+yF+3xvewl6J1wxCuMwViJn5XiL6PCL50C6ABwB8HMCXAXyaiD6gpmkp/qsB/J1KEN6FqHMPZn5UFc19TK3n15k5AAAiehuAGxBFzV7DzCN76clgQBAEQRAEQZgYxiBMCMz8PkSFeE2+g0QNyGy7COC1Oeu5CsBVjun/CuBfh9/T3shgQBCEkeKy4Or4fy1d2DWSBOvz6ZhnHfs6DoTnr4/Nfjr+W8uhFr1M+dwzMsl+oRFTrROpNaaXIS/52Ltzx1gm0WqqyKkYd+t/nDCrv9+5I1NozYQLCkcVJQS72ua2c1jlPe11aWW9BrizDSfnAAAgAElEQVQnutfal2wCZqO72FkU0MqP4IaXPMeXpHMszeTkYQsM2gXNBmFQidYitHyrjrVvX7Ip9m650Am5oZ1LseC4Jn3SUdfNfneWRSfxA4k3o4xHpn7jNtCrz0q1dVn6M5K1M7Wx9wCvNGQwIAiCIAiCIEwEDCBcGjWhFYMMBgRBWFJ6KQl1Z9LxolNnJEUXdWytHVNK39iRWe8w6kNmPD/QX0x/HrbcYBGmp0DHccfzCqzlvP3RsfYWaKovQjQ+FMVY2/fo1DPtRPVFzWvu6sTzW0dYiisF6OW6q5Nlyty37UucyokZtKdH72dY8xA6ZEZtYinMPpWuwvPXI1zTAO9uR8tXmHvh8gLo45p6rp3ZFnWj753Dm/E0nRMTFKgm1fZnr4kNUyKfalvLG3s7rkWi7U75qO2Pzo326HRma0nuTYnz5crt0NOGViYLOZU31Iv6vuhYuEJ1MaE8MhgQBGHZ0B2nmqEx3Tpyytk2mC7oGKkKxqPGu+OBuHMTqKTJYErpcb9qc0oTnF/cyoQGmegf3fp8Fx2rs1Dfn98JMBn3MJpJpWzVWz1PhwYFF24oHAzoAaqZ3Nm+dHOqjZkAPPWcu4MUnr8+7tDqwV93dRPDUiakJz4GYyBgh6cEzeqrhPSboD8oHSNksflcuiKwGQ5jJ1TXFoxQGz/R6AcAvxXE7wKvo9voMEM/qbitBgNFg4B4e0YYnr7yuo4HkIRX6vsjmMkmhbsoY0RJ1dPocmrgQSqxtztdQ6BOpQ51NO/iPLt+uaEAIRiPCsSHDDIYEARBEARBECYCCROqHhkMCIIwEkJL+lJbUV2WJ7PipGcnKpqJtjnSiEweoKxrRZbcshSFV8TSnq/ID5EImh6CKT9lSTST9KIV5LvQU1ZQK+xHW/qWwyvgKiA3ydhhO1SQNGmGlGirvHOdyupflPhuV/9N7YMKSfHuzIa+udDXQNupy9rk9fPp9yndqffJ64axtbso6XTQcBPqMiiI/ms61jNHxiNUlLBedL3idel9n0mmLRw3nWrT2NstrAFre0T0vmtPAYBMJWIgCQ+KPQRF+1lwPm0JXxP/YBvhlNu7Oug16szW0J3x0WnXsu83YaKQwYAgCIIgCIIwMUiYULXIYEAQhJHA9bT107TqkWVAdFm0Ysm+IyPrnMvyFDqkGnUscxXSlmYMbt5+amuoaaXEKrUvxjnQy8YeE3V8jOJYbW35HffEYJfXIG+fx8GjEGw+OUlOVdbazlxiOfVUoaQywQj+gSjGO2zWEvlElUdAIafi0KN1Jw8AW6Z8XcDLgyHBq4pZaUs8gypTWXcl5tryqK48CJe1mwL9LAy/d53VdXRX1dBR+1cu4t1NnnSvy2PQBOIcpIVj0/lLTISwobWFo2PW7yUKGLBzJXR/1Xg36FwhXyfvBlxKXGBQ6735rA3bfab10fMcFuRCaQ9t46v3Dbm1fJhJwoQqRs6mIAiCIAiCIKxQxDMgCMKyE6ureFEsMgAEfjb62Y7DLiNtOCq0hJ/pndBKMH4rhL8YOFVVdE6DS6KxyJtRxpo+au+Bax/ytjnungyTOI+lpMxmhq0PR+tB1qrukkqsGYWm2gX5A0VoD9OgOTIDL6fVhAyvWW2+nPrVsDT2tlPfg5kRdWHueQgAoDMGtFfTZYzWeUxci1SDgOiZttHeE9OjAgBEHL9LtDe0O528N7QXdak7a3x24k2hu91KTrWDARq8iOZzrWS5JfL6BeIZqBQZDAiCUIpuQcfb1Ym1Naz1qzuse/GPql2Z0lzOTuLtXrwxroKqt2cmLI6iUnFRQp7enusnidbOgXbuK65KXOBqN8MaBpVUHIdQnHFE6+qHDQ9eO139VYdr6bCcQdAhNbqzHkz5mWdBX3sKGbBD5tS9TZtPi6fp/TTvmcWjlaDkq6PE5pkv9E6SLYtLf94/5SQAQOeIKMPW64RJjQQrDCcwB8gD7oPXDkGdMHlHnL0ujraxBwH+QnHyapWypDrhOq4obCRP64GSr66duZ9xiJdVS4DaHMfvxOfduM5F76ClIGz6gHoetESo+c7jtXPgnfuWYc+EKpHBgCAIgiAIgjARMIBQEogrRQYDgiCMhFhWz5HkW2a5Ik9Et8Ik4UOJSfIGxN4PK4yGKanWbFpRdULvoNWgnTKdOdVOtQXUpIw8pUlckKxAgpa+sQM1ywsRS362ArQPS6fN6iR1Lqh6u5Ro74Ud+lIFtVu3o7Z2DjVldTbDVswwGmD07wFdMbv1qs2xI8eurss+xcW4bL+KeX7YunTsU7xAkoitkowd9+FI2HIawmldBdm6luz2FC0vJGFCFSNnUxAEQRAEQRBWKOIZEAQhlyLrfK/2OpnWxozz9w8qScaGsvT5lImpnUQ6Lz8N7T1JsmPjq/dlCiZpy2LK6rYlsrTqGGfaeEpcdGySrP55sLKQhuetT8muAknyZTBTK8yn6Aez8J22zsaSoQ5JzWExpWg9JbPpd0LAyq8tk9/SXtNMvjgss/UDKll9wf2cDUKmCJs6R+1LN8fTtGSkmdNgY1vNbcq+V7prGgifWUzW26ruWMvQLkooV9eECg41lm3t4TnR7zxWoS+u4m1VEosXGPul71cXS+ahKElUgXjyfyfGCRkMCIIwEoKp3qmD3dVZ9XCtJmS7/s0OxDiEB+mQAE2/OuD6B9bWQF9u+q0ynFcHIZhJrq3u/C5eviWeNv3EAfcKTc111T/xAi4MD8rUg5hv57Q09psoDmHjEvUkiojVsBx4rSCuHaAx72UdEhJXJVb/zU6mVtEJY+UaoxM3gsT5IvQAy9TG18dQq3BgEm9PHat+LwBAfcBqt/0aN9pz2XdYc3d62+ZgXt9P8SBAhaH5rSA+X/F1VcsxJRWINf7CaMJyMhWcjf6/Tn62hy3zrz0TeG2UpD77ueqS1IclkMCWSpGzKQiCIAiCIAgrFPEMCIKQS5EF3rSy9WtxKyLWfO9jX8aN+p0Po2HJ7ekkRJsi2cOlCg0qqglgekC8xXS8S9n9M5M/gQKvACIrs53Xa3oFbB1/M9woTlpvRj9tXqsb1wCAst7b4UlVYlqJ45CWex7KJBEXhZbEGOvi+6Jj0KdlVAESZIX36HvT9N+ZoVeZ5bV37KL898G8sjIDwNSu8hZ+/2A3Pg/eufn74KLK91NrTXRvaSt5XB3aSOrWn+Lwxz4ZhbfHDHmKPTkFHjDzOtnTlttDwCAJE6oY8QwIgiAIgiAIwgpFPAOCIORixkJra1Ucd2okeWpL01KznHkE/eYIDLSNjaegvWaqZ7s8r8MghFP10vNM21zn8PR+et0QpBIhAyVbWOQR0NT3LMYeB51PweesK1U4KpjyUv/rXmLxsovE1dbOwVfeG11QK15Pzy2liYtvGQm4nVl1rhzSoq571bYhm/Hd+rMZ4z2KYlSZgliONloytYFsDLppfdaJ2hqXpXkU2AXjRp38qtef8j44pF91ore/GHlDOnPZfKmlQr8vluqajIJQbNmVIoMBQRAEQRAEYSJgBgIJE6oUGQwIgpDBVmfpJcPYr1W+yhjeSWDvL5xVOP+wv78n1W7myU5R87GBNp6C9pHT6YlmrLtlIfUWkxjxcCr986M9C+a9ZKrw6E86Fp9V7H+swoOshyqseUtqP+wliaolN+PiVEZzbXHX1G/enrG8m9ASSs6a74OyHgl/MT8foJ9cAY2r0Fpc0PDCDfBvW175y9R9qz1EapeDhpfcp6qwWH1fpBDVXZXviauSxg3bYk9Ae4I9AsJokMGAIAi94aSTpV3MZgjRKF3zZQYO5g+xa19c+undWSvkpZufVBcnTfqEzmz6tekvRAMlU6d7/8mz2Lt/Mjr0NrpDO2zV0aDuYerZ+dz5emBgDwqArGwrkOjax8qMdqVUAP6ilnRMpun71JWUSeujDrW+cnpfQuMeigcYxjOgp9Hd+aFLus6GKbGrO6/6v3+wuFOsnzV97OY9q6VbSSVnm3Kj9rUrG9KmB1r63LqShfU0784d8KzBl2dIftrnRied9msIqB1IniNbwjVwDBZtem1v8Yj+ukH6OOyBWv3m7fF7JmgWJA6r7PhA3Wv+7ffn7nuV9BsStNxJwr2QBOJqkcGAIAiCIAiCMBFEakKSM1AlMhgQBCFDmVAA09JqW+NNq5lOeqzvjSqJmommrsJi2pLXT+gRn3tGrvXT3JfQCCnRCY5hXVmY1P8akuOJwxBKEPpeYRXPMuhwIU1RmEiVScMuzJAX29K8eJROfmygvl9bwFVBLC/6v+q7e0ttJ5iN1mUWlYrnGRbW2nxkIdYha4GKTqodNNJ91S5XmdBu3wNeK4it8Gx5Hfzb7k+kJlWb+s3b4zAbu//CNS8+z6FqU98fhY/wfQ9nLOG29Gc0Ua3Lz79epbnnoWhdlnxr7dbtWS/BWadnFm8fkSTFNjNzs7iecduS328YjSucaLkpCrMMz1s/0sJxk5wkLCwdMhgQBEEQBEEQJoZgZNU2ViYyGBCEFcAT7zwnd97zP3xXpo2eVhZi2xJJifVUTdGFoEyK4nkHTTLW+Qq2t6Ifwlr+D00smThkTH0ZRm39dxUbc1kpvTNOTn1vamv2gAW8gkf/Lf4c2snqSMfZa7QUo7Ym67upe9HGwipceVZXXv8yhLtaAJKY+qCgWFa8XM1L7ndl8LVzUkyCCzYkHiPlxNDegJQVW61SW8K7l22OZ9Wt3AJvoRsXtHIlLevjoU2nRhPUf972SMGR5RNcsMFp3baTdrs/tTnTxrZMD5I8nEfNyFGwC9tViSt+3vVs6oKJtmcFSLw6/nzk+dEeMQBYvHxLqu3Ul7YOvK+DeALM49PLj0uBMRcMyRmoGgm6EgRBEARBEIQVingGBEHIoL0E/XoINF7ACKy3i5aJrN2yvXJpUa5RbBzWCjG1vZHVN5ypx3HfQcqKGlnqtKVfFwVK77Sa10qsosG0slpr1R1l9WUihH55+4rODwgu3IBAWRL7lUe0LfvDyEzqZV3eAtiqMa3IIkuBF3+ul0sRyG634JS5rNHaCt81vAeN3a10o60PD7YzLtSha2+AmUNQv3Fbap9cdGcMxRuldqSLe5nGzVihqETaSThdi68JW6pK/u33x+pDyTFEbQPDYl10r3lKCSksUMUJ6z7Y8r41drd777zBIPlBqX0wroWvck60QlMwk+3elFEOqsISrs+teb5jJakjopwpnSPTS462H3p5Bexjs70Ak4MkEFeNDAYE4RCmKDyonza90O5xTXDhBvitfuu49saWYmSjM6Cr1dKC1aZGzoTK5tMHAQDhjscy82L5VJ00ScP/YNvJwZrQpzhcJFAVXBs3bBt6e1WSOUdbos6mHgg4l3FIhmrMAUdjd5RYblZatjuHRYnUANBdnQ4hKgM98DhIVSCOt1sicT585abMNFKDlq7RAfUcyb52hV8XXjt6bpq3359JIDZ9+aQVT3uu0QgPunADQnWvheqcusJdtCyoZ0i82gn6bO8b3HUh+mEYI4F+F+iq12Xpt/Mfh17p7RaEXsWDggs2wI5q0fKtFHLmXjFDHItkmos68XY41uIRtQns9AtLhQwGBEEQBEEQhIkhlATiSpHBgCCsMFwJw3q6Pa1fr4FetxmCYCfymtY/bckd1CKorYCLxzTRfC6SnuwYFmYgCu/Q1lAdCqQLQuWRkXRUnoXFo5Okv6mnVBiSClchZrf0I/K9AsPgCuehjacMXZHWFS6U2ZZDQrXMdp0hSIqyydKuYmNVY4bZ8H3pkCMdGgQkxdHiRGpTjrUb3WP1fWEmZCVOJm0n96FdgRjIT342cVng7X0uQh9DZ3Ui4amfDzLkXjNdLw+ZROoyng+TQcODYlxKq4570w4PKusNCGyJ1X2tjBBC1/Ba5d3D/u33x56YeLnp5Mq5vEi9yLPyTz8bvQf1Pdk6bLiSZvOvPXPskoiZgUASiCtFgq4EQRAEQRAEYYUingFBOMToZc23k4P19yfeeU4mYbhfz4CruFKR1asfj4CdL2Ay9VQrTqQ0EzbjZa04Yu/OHRiuPJixbkci5urvzqFrxaPb3gZt9fUCjpNBtcXYbDvKgkQmeVZ73v5o4bx+GNRr0XzmYPy5fdRMZr6v8kTs+8lfDEAdZX1XScVagpKPaAI70xKO+v41zeDD/kh6d+4A1PUcVIq1CDuGvX14Uu5L52Po8+7fdn/sSdAegX6t+c59UB4EUo+ozjnII88jYE7v11sYJ5Sr//1a28skV3PdTxXCy6xDeUFdcf621yAw5EQ96/3Ub1KxmR9QtH+HEpJAXC0yGBAEQRAEQRAmAgZJnYGKkcGAIKxQXFb/QZWFtEeh6yjaZMYdAwD7o7FcxRZ0q4DPUOtSaGvy1FOtnlZPEx173l6TWGttCVNT6UhbaU3rXgNuTCt7USz+sAyTh9CxlHfq+yLpSQo4jmu3c0qK1FMAxHHiWhI2pQCkrMm6n9Cd9uFpxSll+bWtsL3I8+gAhsKOOgYyJFjjomAXbIinB1Npa2YZ9aJeBFq1yc92jrqrm6n9S51bdd+xF+2T3woyMfhUYFw3rdeublleTHtZaeHaLdtRWzuHmvKwuXKNNOHLz0BYT3dntEKXGTPvin238wLypgHK62IVWNT3oUuxrIiiwmKu96jN7OfurVyiWVi5DDUYIKJrAFwO4GlmPlVNez+AKxClFD0N4M3M/CPHsi8C8AkAL0T0CnoVM3+PiC4C8KeIfgO3A3gLM3eJyAPwSQAnAPgVZn6UiC4AcBuAn2bmf1Hr/RKAP2Xm24c5NkEQeqMHAe1L0p2+xu4WWGnus6OTMgri8A/1VqvvN5Iz1YDElkAtSz8DABOXyz7u8Bu1BQ6JH/WzTi/dlAmxPGkZwgcfTz5fmq5yy2eviyUtKdbeT+650L7/VKhOMO1ndO5dnfOMvKcDM0xGDwLSOzn6atUavxPGifX6vOiK2uErNsbhKvE9ndPxzcPsqOoEYq9tyfk6lhs2CTWVBKwGGjpZljphXI3YTsRuFchp5nX6M+0KQm/0OaBuGA+eYklihSs5vIiyg0TPkm8mTg9IAQCrD81wGlETqpZh75JPArjUmvYhZj6dmc8A8CUAf5Cz7LWq7csAbAHwtOrwfwrA69Xg4vsA3qTavxLAvQBeDeCdxnp2AnjvkMchCIIgCIIgCCuOoTwDzPw1InqJNc3MmlsFh5GAiE4GUGPmm9Qy82r60QBazPwt1fQmAO8BcDUiBbVQ/ZlDwgcB1Ino/9HrEwShGvJkSM15LoKZesYj0HhuAQDQbk4PtC+mPGNRMrGLzmy0bLNHOyB9rINWYA62nIzgxDbac8k+1w5EVjwuUcDMVXl3FLjCf8qEHJlt7HXE0p9EcSiKxjsYhQkFq4wrMUIDn3kPZiymJSlK4NbJu2wkBptVcQGg8dX7knX1KJ42CNrqbHqXPJ2QHnskDE+J8nTo49LhLd1po2Cauv8CFdLnLwZxwrGJTrQtc2b79X7Nv/ZMNOfqmN/X6dnWbwW5cqplQ4PK4LVDwxOg49X0ThBIeR4DK8xnVLZ5u/o0tYKUZOkwjJucqAkDkjNQMSPJGSCiqwC8EcBeABc6mrwUwB4iug7A8QBuBvBuAM8i6thvYuZtAF6DKIwIAG4A8Pdqvb9qre8D6q/UYGDN2rm+jmelMXfM7HLvgtCDomvUna7nzusX/ay41mk+R53D05HtXjvMDgaUD719eF4UfHn8qfwfvNZhqhptLXGhh83oR7NR4tk3j3XQd8XsXLQOPQgBgFpD7Y/Vz6+tnUN3Tf45qZXYBzoy6VzzkO83c11563RuT00LfT0YcHSMw+gcBNPJ8epro/F77L99r9V8ymxHhwml4trDdCdubi65zmXOsQt9HrqrknXZYUJ1Y932dR50uy7Mdcd5Eeq0mCpGep6nth2q5QKjYrSd5+O3ku+Bca6L9r85l35nNPpUf2nP+Th8tvhd1gyi61tren3d90HB8+ZCX1PqGIMBPbg0XnP6nI7yOpvYx+G1Q3Ss896dGazTPFNyn0fWX/hh8WxRE6qWkQwGmPm9AN5LRO8B8DYA73Ns9zwA6wH8AMBnEOUWXE1ErwfwESJqArgRQFetswvg9Tnb+zoRgYjOK7N/uy3JPyGLnKPxJ+8a1T5wR6lE4CKrv+aZ1ynZwoXEOqeX2w0gPD+yMrYPpC31tYNBxuKrcwhod7vnvvWiyDOwqH4LzZwBnbjpn3RitH8FxY6eMY611udz0FGW3+6BLnbt66BrFECqz1uFzlRfon7si9B9rpWaZSa5Uol9oGOS5XmAZzflDbD2xek9cG1vZ2QBj+OliTIm0ZqSugxWcVysrRumO890ykujZQ3qe5N7xvv2nsz+8TkqX8TPl5dt3LAt9d1fO4f9Q77n6NjoPHTbKkG44QEH09e5YWyjY9/7J780WZclhdlvcnHXWLc9EPc6yT2tt+PF1y2yALeNXIw4B0LtklmkTw+8goYHnBLtv31uAWQs+lO7+/PmLVLUPXnO4RmYeTo61gX1vd9coODE5Fxp74YzkVjnCqhr6reC1GAIAGrGuQn09dyvchnUuaYTTki21ytBvg+CE9L3UzDlg/ekp3nPRNeytSa/u+fyArQc7fKQ/sLkM+qh1T8A+DnH9J0AHmDm76hO/j8D2AAAzHw3M5/HzFsAfA3At0tu6ypI7oAgCIIgCMKhC0fSoqP+W0lU7hkgohOZWXfgfxrANx3N7gOwhoiOZuZnAFwEYJta/nnM/LTyDPwOok5+T5j5RqVkdNzQB7GCcMWB4vvfWfodEYamX1lQu/hYv+uwFYQyjFBARecPdFbnhwvpefX9AfzF/Bj8QeVUbbR1GojCMsKGF8sOel2OrbU6vMBXSiBhM/sajiUre2DH97sKhPWbF1BGRrSojQ7HcalIBaunojbf2NG3ig1UyE84Fbl+4t/q8xO1n/bqdIiE1wmdVuuq4G2PAEBcyCu4ZFOsHOTarl14ypRe1aFN2pps3k90V281KzMnwrZeh/XkOWl++T648Noh7MiL2gFllb/noWRiietmyopqq7MrZ8D20JXNK+jMpJ+ZolygXvkBRfNtuVBnvk9Beo/27gyao9CL0FEwTntzagtpT8w45wD0C0PUhKpmWGnRfwRwAYCjiGgnonCgVxHRSYgeke8DeKtquwnAW5n5SmYOiOi3AdxCRIRIQvRv1GrfRUSXI/JafIyZb+1jl64C8MVhjulQhs9Zl4nX1uEINUv7XMinigTTScM8Tq2db1KfT//w+IvduAMS6JjwPnW4dUehqIOgQ4Fqt2wv6NRnX3PPv6XcIKBMx9rEM+OIc36rtByg7swS51c8HRf6OQ+hIcOoj0uHDsUd+HPWxe+eurovAjOuXYVX1VVYEQAEq/rPNWns7ifYYXj6HXjUb9yWqcXgG3KRgU7q1RKors65Xk6Fn/A564ABkkhrt27P1Hwwt2Nr39cOlvvNsOsNmNVyR0GVHW8tS9v8SjSA6l60MakrwGkZW68dZhL/M+cTjvM4YK2J0BgEd2eT6+211P4tkQiBcGgwrJrQGxyTr85puw3Alcb3mwBkhKmZ+V0A3lVy+7cDuN34fj1Gqk0hCIIgCIIgLCcrLYxn1EgFYgEA4LWy1hpab8gHPpC2BJrWF9t1WkVVTaGYZ968PpXoCpRLCHZhhgv1s47mrlaunB+QJCQFA8opjrIQV6/jO+72vc7pRZKadNeDhSEUdoJosqLB46mCWcvT59ivsvSznHkedNhOKZSllX1Kkiv1eTFWo70n4Y7Hkm3a+6CLnHUTb0RDJW4OWlxuOajfmPYmuKzJGp0gjXPPiD1tdkE8uuvBUhK6toeP73s4N7k1z9p+8Fh1/ynrvw5Fmf3cvbkViBePqMXegUGf8cbe8iIEZtE5r6S8bNdSK9PHT8yxxd2UkwUACkL4C8oarzwq8bXkxHNTprpwWXy1L11kPUGhVShtNHXfhUMFGQwIgiAIgiAIE4HUGageGQwsIzoB09SAnn4qEksrsrgOCnVDNJ+NYnB1khEMPenY0nHaS4HjWoAr5lBZ40xrC1nNdFEbf7E7kuPoFzO2EgCgrUOmxWhAS6IrCXdQ+rHoHz301vrjiXeeEx+jeb8WvY7tBOOaIT/qKpQEREmQrsTTUTKoR8WFf0BLCk6lPAH+wW58zFUy6H07qPfAuQ+L0TFrD4G3mI0l14mYgaHBX7sj7UGMHQNnZaJHnZgeydreKDfA9CQA6furSE52XLETRD0jyTjWk1fPmW/I0do5KKY1WntudV8qmFHruWBDoeyljpHXz39QWz5bsyuh2vZe6HvODzlJyvbS55N9cr7EdI6Ac91aCEDnQKnTHtZ91J87ELXX+2B4Ioreh/ZvVJnnOjQKjjV3R8+gf6CD9uG63ofKZRiw2N64I4OBapGqDYIgCIIgCIKwQhHPwJjRnU2sNADQOiIJpNVWhsa+yKJQWoFkSxIbGluBrEG1f9v9qXZANk+gFxklhaYPT1v5HOoX48R/vDttFX7BBydXJej5H76r0MpdpQISnx3JH9pxyxlvDKKCOJraupcBADyr0qlp7Yote8ra3l3dn5pMvxb/1HnpQ3qzdVlSrKn5XOR5q+9rR0o2WyPPGG08JV5nJteg5LZc7aq08JfZn8LlLDnU1k9tBn4qOjeNXfkx3ra8cVlZVRPbIzDJ2NWUXQQFFbgBZBSKXPkqC8+fTn03i/TF+3Je8hzbVvVhWDwi6nr0qyw0qDymfU5TkqEOw7m+J80K4kCkFuV6t2mCx74VrV89Q17HPKfpa1alp1C/I4G05xYA6je7pWQnGcbKqwMwamQwsIzUVbKbWQa+DLoqYnDpZjS+mv+g6+Ql09Xs5SQxBhduQG1edbpm6+h0GFCJn6Y2tv5BqKkKsKl9L0iE9F8WVX4NHi9bQ64a+NwzUh1MAOBmcj7i5L2z8zuMdmdyXOVEy3Z689qZx2Uf45LCgjAAACAASURBVBPvPCcTEsVnr0NX6bqzUb0UiH5sa1a4iCkd2Z2bKrWvQPEgQId+uI5p0BCuoTrduvP/yg2gICwcVAy6L8NgJ6dWWQ21DKa4gB0i5jvCi4qwB6DO7U1gaJCJ/QyZmvb6Xa4H1LrDX2Yw4SJseHEVYv27EofsGa92bZSikDH7uXwpVd1xz0skBpJBQVnmrURlTVH1YFOq1YaY45CcosRtk35C80gNBnj7oygyZdjrNMU7MiIBX4/apgY0rvoHhzhSZ6BaJExIEARBEARBEFYo4hkYA8zwmrhAk6K5u5OR7hzU8pPaprKWtI5IROgGKVJSO9jJWN61+zO4cENsDQ6mVgMA/McH2t2R8PSGBrDBbSX/j3efA6/jnNWTfj0JgySuHv3JB1DbuS93PXnbLNpWv/tBdz8IvDK/CnFgS9spb5LXDZOKqPqWU14losTa1V2lLHtG9eAylt5j7z6Q+m5Wci0DGTK7Lo+AGToB9CdzCJSrGlyGUYQIAdmKyHTXg+WqGm86FUDiLazv7cTvAh1OlhdWBiRW1JWOKTWqi7VpvHZ0jrwW0F6jEkVr2gKuZCbNcDxdTNJhRK3Pp4vfcc0Dq0VbKryL9OLdMPYQj6qabh5lPAwmtiwo+UboIaeTfrWVHUi8ZOH56+NCYvrZ1r/BfPa6Uh6pwmfTTpAvCKEN5gyvgNpn/QzlMfXMQnpfCltPKCwJxFUjgwFBEARBEARhIhBp0eqRwcAyouXRzFvaLtBkJglrC6fXKecZiOOBVSxk0PQQlJBt9Foh/MUgtkKl9lnFp2rrIfvISEGayWtxYSFln9BWpdLJz0PClHhBtHRqKtZyCShjsR/lNqvCte92wSQTO4nRRCfW2V4vCox7TnkGgqnoujW/nM2PMY/T9ggsFS6ZQ37s38E795Wy+PdqU6UHoJ8cAf288Pnr4S0ob8nWfKng9hFRHkhgeC7r6nl3yY1qL49+r7HyMMpPfEJhkukl+c9XvLwuSrUq+aknlQBrJ5p67RDBdP5vi/YWaFzP4yhxJQ/366WI3/3qMF2Sq6OmuypdpM8/ex2CGfV7at38piyo3nf9nHitIM7h015Y784dsYdOEPpBBgNjhpmsaxN3Ogz1Da16UKTAoTsAwSWbYvdnV7mWp760NZp3wYb4hRRO+Qhmau4fIt0ZOC9fUSG902o/ydJmXgaePDM/aVWrB5mqQlXqz4+Cpd6vfrdXZuBT1PErqqJq78tSDgTM0ALACIExw+W++3+WbH+qRr9nuEA1pV/iaqj6gl+4IWMQ0B0bfvkZI6nJcKjRuME9EDeDZGylpiLYA7yOW4+fhnht9xvmYy43s3YOrZLtPVVnwe7UmMdiGx+c67njgeSZHsPEXI6rePuZkGEPAG97ZBn2aukRz0C1SAKxIAiCIAiCIKxQVqRn4JnrT3JOP/qn/22J92QwtBegH6sPEFmSbFfvoJihQTopS8ujmZapTIXZHGnTPExN5yfOni5oORx2nYEiXBbyIlnOUfDMm9cDC+kMZ3O74+rNGBZ9zx97z8HK1x173lzSokYSsissKA8d4mOGAjmTbyuWEK2Cfqsb64qqTMnPig5FCa1QwtpiEEs5as8lv7y/95nQG/1bUXfM06mpHSM0VV9DO4SIAo4FAKqgyFtQppZAVUnMZT3VWr6V78sPkyuLSwQhryNmihVkaiUcopWFyyB1BqpnRQ4GBEEQBEEQhMmEZTBQKTIYmGDMPAHTUlKUnNueTcuutV93VqZNa87HItWwqOat/sw9pfYntmIYBgwdx5lhy2lx/oGZaOorKTwdl23Lli4H45474PJEDLLPx2wzJOkKVGZNC5W+vk9tSXttlrwwG1Fh0bvCRS1Lf6rq7+aoKrdrzbbEaCqXYO1c7jqHpWzF4qUmfh+VSGx1ndBeeQK2l3HSC4qNC648teL6xr1x/R65LP6D5hPYsEdxVWbb2l+7ZXvs2evOpn0ktQNdZ76dlg/Vz/9yQYH5IrYTvhORj368lYLgQgYDgiAIgiAIwsQgFYirRQYDS4SZpzDq3ARtsYyt6xXE4tpWUC0x6rUDsCrqwkVWfE7LogUzdXgFOQ9mOfY8tAJQWcrkBZiqQrp90XbKWuCXwlI+rOeiKEa81z00ihh+F3mqWXzuGZF3oCyGF6FMQS0t0cj3PTyW8f3jhK+8RaYSS30hLS0a1j10ZyJLbufyLQCSGGi/FS6ZzKNQLYPG8pfJEyiL9kTo/CI+94zkvWHJHYcND+0rtqSmTX9xa6ImpKbpnAHafFoleQNlobsejLzoAGr7VXHDAnnflQJL0bHKkcHAiHElK+clMOdRZvCgX4DheevRmVOX1aoi2Ys4HOhXzutr/zR6gGAO2G2JOnO61kY2n+k41EINBuq7FqM2DzwKbE53dvtJ+nXxgg/elVnHsOvshas6cdGAYilDlPjcMzJVg2OXO2WTQClMEg391oRVjy0YONDGU9BdnRY2denz+wdVddJlDM3RLOs+qIqq+lnXdT0oZATTSj9dSRrH76mLNtpr6YmEBa0MzHCw7poG8Pm74+9Fg40y94ddF8W1vvD89dn3oBqo1vf1V228EqTzLywBMhgQBEEQBEEQJgZJIK4WGQxMALYnochT4H39gdgjUCV2oSWTokfSnqcTsjqrG9nGyFat1RaZKm9UV4GxonZFDGux77V80Xw79Eh//+4/rsu0ndq2qud6eknV2pWmw2byfeI8A0Ow1Fb4cUoYjsMnjHtBJ25qdNXUOKzBgdcJ0dirquPOpJeXEKFDC5f13Ra5sJPDS6Mdlw6ZTR0aRJtORajebbbFv3brdmjpg7BEkb2w5kmkunBIIoMBQRAEQRAEYUKQOgNVI4OBCSYvKbn55fuiDyqWV8tzHnjB1NLtXA5xjPliF8FUdPt5nciqEza8OH+AdS6yijWuIbHU3/CjYgnCXpyKX8ud129S8jjg8gTYLG46kJl2/BsiOTqdHBwaVjN/IV1gqDuzcl4VwWwjU0hPF8gC3PkD/TBsArL2Bjx35dnA+rMBAEd+4u5kmkJPqwKzMBWQlpclS4Y2VLq0wVQNpBKvi2RDbauuaSWWPIHxoUpp1yJPQJxzEjB8y+sUJwefnX7naSnQPOyCXc7tGgIKdmvtse6urjsLuAlLj4QJVcvyi7gLgiAIgiAIgrAsrBxz3zJhWuz7VREamnseAmCM+BwFxlys+sqDaO/c556pvA0do3iLLmGvcVlpTMsqEEmS6tjg2DJdwnpTNcN6AookQ814/1GoASXrzFr9y6A9Cmv/NnkNFJW4j6UflbU39D2E9fGwztA3dvTMedDt4s95kqI9ZFR13kvYsEozMcfFf9rnn4bWniRmnrrJeW0+u4CyuHICTOt/mWlVeggyEMDqNGjVMp1P0F2V3FdxhpCSSSwqpmQiXoLxwGXJN6dp1TFTPU5fL/1c2rklJnY+EhD9jtDauVQsv/Y0JQtG/8KXZ6WF094r93vN9DC4frd0sbLUfm06NZq37RHnOoXRwxBp0aqRwUDFLHmHvw/KVhI+cNk67N/XSS1nd+aHpbO6HlcqrattecaLXv+QlAkJuuS44s6bvY5H3v5XybIfLF+DoV+Zz+WqXHz8Gx4sFTrkIq/D5ZsdZP2ja/y2d2ajV0njhrR037ihOybOegWqo+q1g4ycnw4NMiuSdqezibPDVm51MWxYURWDAl2l1q7/sXjcTPKloAK0LQxQ39OKz7EddjFwMqmwbORJSJsEZuXyEkYHPnsd+IgmQqNGRTCb7rLoEFN/oVjAQA/G2TJeaOlbAIAhd0vWvawrrdfml0FaVMjCAxecF3KQMCFBEARBEARBWKGIZ2BMqbJKcdnqx/tVGNGR1nSz+nCoEnpNF2y7npYJnV73sqT9g48DAGoHOqk2QTMp6qRdxBQwbv6Ha3L3L48i70GR16CXRyGPfqsJm+2r9BIUSYn2gxkapF3gYVMVi3IY/LTMrO+yWDumLZX8ZV51YqC3bGpZ+L6HS1VZrc13Ud+XDp8LlCehfWQkZth4rne4kMsrcNQDUQjfs+vn4mmuBOKloLGn07sR0iFDABCsqgPqPNoyk7nrUB4DCRdaOobx0nSVpd1TIWH1g9Hz0JmpATlhO/Wbt8deJCagO1tDqKvdd4pNwbb8dfeSxBtFgfqNUeZk7qdaORBrZHdXN0rfr8JoCUXktVLEMyAIgiAIgiAIKxTxDEwgrrwEPa2XR6FsO5vYelwrERu6KvEU6NZ8XzoGu4EkcVgzrGTjSmPYBGIXnblm6rvXjmJx/QXDAjxkDPty4PIaDOuxiCU1Yznc5Nnwtj8Oz0jCbxmFAG2PQb/o/T7SYSCvMlnY9Kbo8xfODCasWN/TAqA8Aj1wWf4lj2BpGfR8e92wdxsjN6wod8CGPcBrKS+DymGJk4sNs2b3ooJ95/R+monL8W+cw0SayolQIhox2sth5RkJo4Mh0qJVI4MBQRAEQRAEYUKQomNVI4OBQ4yy+QH9eAjIsPbUVVymqQ4SS4sqC0lnLrH++ZYKkWn9dxUiyovjN/MCXG3svAHdpiifoNc6R4Gdb2DmEFSlPtRvDoGZz9G1LL/xNcrJBciV50QS716khqPj57Xah9cJ0ToyvQ/NZ9vpfemTlDShVhUxfkf6Xa8uiqTRiiRMSXEubvrgF7YKiyHpc9WvWpCZFzD7H1kvQ/Mr9/W1vjIMknNBnazCi2/mDvVhSZU8gUMHvxOmCnzZ1G+MFMn43DNQa/ioz0f3uKnepe9H02Jv5/KkcqHUZzuvIG9dHavIounB8K1Un9aRqpjnZZvhK8+Fls0WhElhRQ4GqkrOtcN1qkz6rYJnfzXqNNCXsvP48l09l4+lSLecBq5HL+JhEzF1x8z1Y2BqPs+/aDo175Lj+ttOv1WKdfulGhRUgauq8ECoehRA/y+EqpKDdcXpoJn10XdWR4MDM4DJ1v/W+v5lCYwfe1/JZfIDj8br7s6mByS6gxJcsCFTD6M2H3VwC6s0G9EQaY19q5ljgJA5x+uLk4Rbl0UhSfagwAyfGEVnxdX5F1YW+r1uDsAHhb6xA7R2DqTC7fyCdZoJwToMyXyXdFarZ/NV6tn41+TZ0CFwKTvzZZuRx8KxU6nvXks0LpcDkRatFkkgFgRBEARBECYGZhr5Xy+I6HAi+jwRfZOIHieis4noCCK6iYi+rf6vUW2JiP6MiP6diB4iog3Get6k2n+biN5kTN9IRA+rZf6MqF8ZrPKsSM/AqBjngmM29KUjACTeAyDxFqz6tSfSFYi3PgxYrlTfCJWwLaWNvUlhFvajeWwlHvM565zW3DCnSuX+151VWDStTFjQKBlU3tSkn/Cgoz/5AGrqGg0qLXr8G/qzpvdD2dCXML4vov9eO0TtoK5wbN0z555RKB+ah3fHA7HXKWwqD1eJIkkuzCqqdlVTndQIIGXRBICpZxYR1t22FzPcqui8uWRDtfW/VWDJNJOX/YXeCZ4u9HmvSqJVmCxqt2zPJBV3p31MfWmrs31RGFBZdNExfmGUfI6AweoZ4kb0/GqPgFkJPWykuzV+K4B915shRfo57hgFzep7Lclc413UnUk/xzqEyKwyLqwYPgrgq8z8GiJqAJgB8LsAbmHmDxLRuwG8G8DvALgMwInq70wAHwNwJhEdAeB9ADYh8iFvJ6LrmXm3avOrAO4B8K8ALgXwlVEciHgGBEEQBEEQhImAefk9A0Q0B+AnAVwd7RO3mXkPgCsAfEo1+xSAn1GfrwBwLUfcA+BwIno+gEsA3MTMu9QA4CYAl6p5c8x8NzMzgGuNdVWOeAb6ZDmt/6PetvYWAE+kputiZC5WPdnKrkfFDvP2R5M4TNuiSJRKQgZUXLay2Ew/E1lmFo4eTMrQhW2hd1nzy+YO9OOBKPYaDJYw/Myb16P2gTv6Xm5q26r4s73domJqVRcOWzx2xtpA9K+7KrG815QVW1vcgqYfv7D6yRHoFb/cPjrKT+FLIws6GyYSr628FOdl16HzCGKL6cUbcxNd+b6HMyVy9H758+3sAiUwZURdScO2JXf++cbr/sfOzqzDpqwXJm635bRS7QGIDOOY47yP9TM64/beVk0wXUMw5ccJ+n4rwKC299qC8mTrFZR0DJJurwUO2gFqzfTx6z4j1wmNG7YNuIdCvyyRmtBRRGRe1I8z88fV5x8D8AyAvyWidQC2A/hNAMcw8xMAwMxPENHzVPsXAPihsa6dalrR9J2O6SNBBgOCIAiCIAiCkOZZZt6UM68GYAOA32Dme4noo4hCgvJwjV54gOkjQQYDQ2CrB1VhuR8HRaJdf3k8nqXFUvty4NgmZp6KLJs6DrtzWKS2sFDgUQCAqd1ZWcRY+lHFgGoPQe3W7YUeCs0570i3uesjfx1/riqfoN/8gKL2o5AWBfLzAYZZt5bN1Jgx8jYuidEiPHXdzdhfchQkCpRULSkpiX5jk8MSRfNS7VU+TCpXQO1XW3kSzCJKhet6+WDx9q5cgUKsokgpj8CQFHoLbGt/P54CYWLgAseAqQjHVs5PWQlf2uy+b0xpUS3hSapvRIaVOI7dNzx8cY6Q+uffli1wqdXKzOc0Vv5SimsMoK7u6+5sVFyT60tioRYsxkBNaCeAncx8r/r+eUSDgaeI6PnKK/B8AE8b7V9oLL8WwI/U9Aus6ber6Wsd7UeCDAb6pKiDPGhHvurwnyTcZ8Dlbz8MdCAJ4zATd8t0yMtiJ3GG56+PQyY81ZnUPy7mj4zZwQeAc97x1tx544A5QCg7MMhDDxjWrJ3DY6r91DZ3m6Ll+8auugkls2l1rsl4QWs9frsTEJ6/HmSpUOrf8sbebtyJsDsTCDlZv/qv7wuXnr/uVFAnRPuwRmqe1wnjdemQCDOp0Ox45KEHLqGS3dUhRQDQPfMUdF+ahP94nTCTRO8vRINhrvsZWU49mCoaCDx35dnZMB/jOu09voGymAO9okFevH+O6sSlkPCgycAeyG19OJaj7VyxJdPc1vj3FrMys/qe8VpdBFNW18N81tVjFDQ9hA0vlggtGnR77TD+PbET9b0CKV/nuu7cEYfwhb56ttU82nRqXE/HX4yeX78lg4GVCDM/SUQ/JKKTmPnfAFwM4DH19yYAH1T/v6gWuR7A24jo04gSiPeqAcMNAP6nVh0C8EoA72HmXUS0n4jOAnAvgDcC+PNRHY8MBgRBEARBEISJoYz05xLwGwD+t1IS+g6AX0I0dvwsEb0FwA8AvFa1/VcArwLw7wAOqrZQnf73A9CJX3/EzLoQ1P8L4JMAphGpCI1ESQiQwUAuS1lQrIp163UsdYLzzNPt2PVKBX477V0o8iyEvodQhRi5bsw8q/8w3oA8SdIqJUqrXJf2HnSn68BCp0frciw4LH2a6S8m0oHUh4GNfYoLe4UqkTW2wOdIbALp0CDbM8A1D4G6MXShLzgkQrVVr2g7AFDbn07c1aED4fnr42PVvzeukCUXtoVUY3sFgETmtDNTw9TTB0utPw/tIQmKCp+5MDwJ+ny3L4lCZGsHlWfHUbU1hcOKnEE8AhNFOG1V4DU+m+8EV2I9AHidAN2pyDNlSwTXO0Eq7A6IqhL3oj7fSaREreWpzfF9Gl6UDmc0PdBUYjumF7oIrx09HzpcCACWJrVaYJSrAzDy/WDegUgS1OZiR1sG8Os567kGwDWO6dsAnDrkbpZCpEUFQRAEQRAEYYUinoEJoowHwWxjFhRbCrjP4ng1FTMd1tSYlDDCXHk3tpRoWSv+sB6F0z/8a/HnQROHB43/L/IE5HLPQ4BlcQOSRD6Njtc1jTb6o7Y4Rw3SF1pb3rlG8T1gW+PZo3i9ndWR5GwsGXjBhmyOgcbhPfC6nGut9u54AOHl6XPkqxhoMx7ZzBEAgMYN29B1nKPM+tVyprfg2fVz6Ubrs9Kfdv7AkZ+427m9fnIFdFHAfiklJyregEMSU7JW38sUCwBE91P78GZ2QUXYKLafmzkCXjeMcwV0bo4LM2/FLgZoarLU9ixG6yrcA4D0cVm5SLztkWzjC9zeQGG0LH/+8KFFz18CIrqGiJ4mokeMae9X5ZR3ENGNRHRczrIvUvMfJ6LHiOglavrFRHS/Wv5OIjpBTf+ImraDiL5FRHuMdb1DLfM6YxoT0YeN779NRH84wHkQBEEQBEEQxp0xKDp2qFHGM/BJAH+BqPqZ5kPM/PsAQERvB/AHAN6aXRTXAriKmW8iolkkA/KPAbiCmR8nol8D8HsA3szM79ALEtFvAFivPs8C2AxgC4B/AvAZ1awF4GeJ6I+Z+dkSxyKUYM3ndgA79znj+01lISAdM1oksVZWhchWfuBGOctlmYJiRfA569R6ou8pGUjL4xE2vDgi8OJfTFtmb/m7q/varolt6a9CYnQgL0DO8jpW2Lzm2goXWtcpmE6++3uUhGwtqxLkL4ap9iGSWPVRopWOysK1fEUTp/qOTynLP3WydqzdJ071tQ9FBcI0Zb0Cz7vrOQBAd02kGuYvBmA7x6Jf7b4iaVHxEkwUtmSvqTalVbiYEit+PM94POx3gp7XnfVQ36fkqLVnquA1r5+v8Lz18bvDVgyi89dn1OliD6PtKeiBS5msCP/2rEypIEwaPQcDzPw1bdE3pu0zvq6Cw2NDRCcDqDHzTWqZeXMVALRf/DC4tVPfAOB9enXGciZdAB8H8A4A7+1xKH0xDnr/w3LUx3t3HpysnevZxFXVlfuIODArF9d3Ra7bzpophPrHIScxLY9hk3Rj6cnLIu34+v5OWu4OSQfS/pEzufgX3hJ/1lJ85r7Fg5Z3Zpftp/N/9CcfwO6C+WWTgssuk0d3VfoV4jSmqGnmD7j+gS5KOtcdhu7/be/O4ySr63v/vz5V3T37wAgDKiNCZEBBloFhESRsRpEYiAlGUIMkYq6JGpfoFS9eNfH60wSJ5l6NNyhGSCJCFJEgKsiiLAPOyi6CotCSG2AYmAFmpruqPr8/zvdUnao6VXWq+1R31dT7+Xj0o+t8z1Kn61RVn+/y+XwXhFmo20xGnfYPuXoDU3HmXFuff7V8wqHV2a7Tco7PvTp6jeK5BKoKVk0tmFYJGHk+DuquHyZhFe/65h/qhwY1VQaOOJCRkIp340ELuzpueXF0LtU86mZYOXp/d3UzpJv8HZqtbI5drBvS12q/DuNwGocKWSnaoXDLBjwx7MZKXktJevP66jwjWSSHGVYbLe75Web9pc9pnFCuphwzYGafJsp7+gxwQsom+wJPm9kVwN7Aj4Bz3b0MnANcY2Zbgc1AXbOxmb007HMDgLtvMbO7gTXA+Q3P8yXgLjP7u6znviTDze4wW7x7dGMxtrj57mtBeO0qS5pbIBtba7Yvbv32mre99kkujoXJyhbXjlkoxTcptX22bN2NXnnBzvV/z8hooam1Km4VLs1r87FJfEGNhNcqed7xe680b7RtWSfxNWpl3k6tW4jntnj/t9snuV/lBbXt4ow4sbgyUJ5be/FGC9Hj5OsWVwKKc6Mb0HJyQqE5UdnInPr9KnOKTZWNeP9iyt9USrxHRxrWlxPr0vaNTTa8L6zi1RbzxmMCsEtUCVjQ8NkpTJQpLsx+fdPs3Ph8u9QqHNblsXfepb6y4okPmuX1/Zh8jj78zu30GRKwcA2T383ViSHTKgPJnoE2vQaNPXPxjXth2eK6z+ZOO41WJyS0xLrGXqzCRLmpZ6C+MkD1GJKvnn2OHu3NYSXdlCsD7n4ecJ6ZfRR4D7VW/OSxjyUa6vMI0dCes4GLiFryTwlTOH8Y+HuiCkLsDOBboeIQP99ngM+knMdmM7sE+Etga5Zz3zS+ufNGQ27T+Gb4ys1N5XEyxsrLJprWNaZy3FaofRk3Di/aluhZiIO1yuUJGifgjtNRApx+ZWpoSi6pO596uv7vGXtmoulGN54kqjy39o+sadKtxD+863/6k6bn+eZPo8kID7qg1uI2Et6PT2RIFRoPJdq8bHHb9/HWZ5qvT9VhL69bjHsKkvtUy5K9BWG/ed+NJlxMziw8scs8INEzkBhaFbfKlRMBt3FAbvx6lbfWXtM5319N0rN/FNoKKs1DexZ+5/amsqp/b90zVl5e+1uLbV7Hyae2NxeGv2dkz72jxcT7pLixtv2WjdvZ+MoFYakAz04vFWzlpb8FQDl+vu1e6xl4trvKgG+s/7tKC0Zr1+7ly4HaNco6c2yT8TWdt5ll+l+Qri7YHxh79Lnq+748P7zXkkkCwg17XaX+yVDRb7xxL9X+LzQOMxob30x5n/rvro1xxWH/fRkNn/e4h6AxRSnUehTj751kkLzpevfEbHyOhm1Mf6/lkVr0G8AfppSPA+vd/ZfuXgKuBA41s6XAwYkpnC8DGsdHnAFc2sU5fAF4B9GQJRERERHZQbn3/meYTKlnwMyWu/uDYfFUIG0g3mpgiZktdfcngBOJhvlsAnYys33d/efA7wD3J469H7AEyDzgPczgdjlRhaBp4gbpLDk22RaOsrFDK2ZqMGM34/xTJnEqbi01TZqUDORt1UL5uj84q/o42Z0NMHrtGiZf2zAnSHW8OhSfj1r7x+I+j7irOS1N6u13Rb/bjFvtNlgN2scKtEsf2mqM/7zv/jS9Zb+L43QbPzC2MeqU87X3Vsvi1rs4xqIY9wxUnLFN2+r23/ayRdXHk3+ULdh8OtLiBNKMhliDOIWnF2oB0HF60ySrRC2VTy+fx8YXZft63eWrq1LThkL957KxFTQKFo7e7zs9PJEoyyDL+zSe4OnYFZ0nHpMdmhcL1Rm1iiEuprwg8f5PaVbsNtU0hAn/wl2YlbyuFwFqaU1bphGOzxWw0JOYTDsqIuk6/rcys0uB44FdzWycaDjQKeGmvQL8mpBJyMxWAu9y93PcvWxmHwKuNzMD1gJfcfeSmb0T+LaZVYgqB3+aeMozgW+G2dq6cQHRcCXJoPHmo1f7t8qA0urGvvENWa0MmFWzXyyuLQAAIABJREFU2DTdmMQ36bSNMc1kcmFiXHtDhaWYUp6Swp4ffSOf+mi7isC2Ew+CNkOBugkgznrjH++XHB7UThzUW33dMu7Xj+Jg8NKJh+Et0p1vecko8Ttw1zbHSvtMtPqc7PLVVdUAyrgy0O6GP64UAGzbJTqX7Ytb3zhNJvLBW6n1V24ymwzUzy+hisKOZ+yH9UO84vcgUAsaT5ltu3HuDWieXbicHFYXto+HYCaH3NmtG7BlixkNQ1BKJx2WMiwzUXFoyESX/L8gOxZHw4TyliWb0Jkpxan5E8PUyecklq8DDkrZ7jvAd1oc45Odzimx7cLE4/8C5mfdV0REREQGjNMidZ1MlWYglqq4dXLnZYvx8c1t0xpOt2chq7gHIZnbPn6cDD5LzfUer7u2i0DGhsC5VhoD3+Jgy8Z0pFMx1ZmFs4p7AuKW/rRUo+2GDs0ff65alhwW1GhQewKSaXMb862P3LA2SkuaUB1ylPEzEX92sswbwFG1tpR2PQLxup0enqj2CMTmbG5u8W+XinTReGilDcO7Rp+ZgDmNqbXC705TucoOIW2oTdahdo3KjcM2odqK3y6IceT6tU2BzcneLAs9EHZbd/MEiIgqAyIiIiIyQIYtwLfXVBkYUmkBiu00tmZmatXMeMzYC+57vvo4DgJLBopVJ7tJaX2Pg1WnOxvknCcT2WlDfvxKmH3WXxXNUlzcOkl5Tn2e9mrAcaV5NmRoTn/abet/Y0v9vA7bTzeAuJ12vQHDoGmm0yD5mUjrXevqORJjtJ96Raerna8ty+r/Lezyg9WMhV6e8sKoByKZLjKPlHQyPLrqqW3QGMsgIvlQZUBEREREBod6BnKlyoBUxa2Y7VKLpqVAnErrZ1rPQt2skg1jkUuJyWxGwgRVjWnnoH68d6xx3Hc7qa3eoUcgybr8IkrrLeik2yw/WbeNj9tNxqFeW/SLLdXHlTn1X0vPLau1jC+8vM0kYzlp936JUxvmIRkH0yolbdZegWQWoXbi1297l5/Z+HMRf0LLr8nvdRAR6Y4pm1DOVBkYct0OF2rUq0DixnSFpdcfXn0cD9OI0z1CIgVpwxAiN6sOISqEmSzL82pv++QxWrFV9QFpTn98cLLcsHd7U99q+wcvbj23QlbL3x4N4eoUWFzYXqpbnokKQCdZgqGT29guc7Dd62f53fkX0XIppAhNprGt7hcqBaPPlprWZTV3Y1SRbww4bje0r12lfuM5r2r7PbFLYruszyciIv2jH+5pRERERESy0TChXKkyILMirYWxUkwME2oY7jPn+6trs8CGiWfimYVHr13TchKzcpvZgnvBE0OKPKRmTM7E+fwL61trR7b2T27GtF6BPHoEGk0nHWnj+qkGMxde+fLq48o99ROoZ02JOnL92o7bL3ys1sJfmttitrKEaOIy6Hb6vLgXYKrD9jrt0279TKUZFhEBwDXpWN6UCEJEREREZEipZ0CAhvG97//tXI6VtcVwyc+idJ6VsdYtp+UTDsVCYmGnIS7gVQc3jeuPpaUazfVNf1TTBNu5apcitCndaMbJw7LoRY9AFr723q4mK5tMCWRtNwFd9Xnm1N5r3TxfoVSh+GwI1h2wSdWSY/+naroxRiIiudAwoVypMiAiIiIiA0TDhPKkyoA02flbG6Y1YVK7/dJaJuNMQIWJcnXsf/mE1i3T8aQ18fj88rwRCPEEWbIDZVH3/KEFojBRrhZZKX2sv626syn9ZKu0kVlMtWV/qn7zkaPDo21N6156adSaHv89hckK1pDe9Rfn1L6g9/3f9dl0pvoqxC33vvbeaoxAWo9AXuKJtdJUewU6KC0YozQBlnib5D3ENflZij9zebbYKxuQiMhgMLNlwBnAscCLga3APcD3gO+7e9sARVUGZEal3awkZx5upZKciTiuPMRBwyfWbgwbA4ZHttRuSBuDTf3oWrCv3ZY+zChaGc5hTuJmONzZVkJQaDVIOMc89L0w1fkDfuvrUBltvp1vTAG7/Obod9owowf/4ajadu9rnS40vk5pw3faVQKyDA9KO2b1fXHEgQAUtpaozJveV2NlTpFyImC4F7Fu3d74dwou7ubmP60iMpXjiIhMiYYJVZnZPwN7AFcDfws8DswF9gVOBs4zs3Pd/SetjqHKgIiIiIjIYLrA3e9JKb8HuMLMxoA92x1AlQFpaaaCBesmAQu/CxP1PVqVec3BxX5M1ENQ3F6mMjq9xFgTJx9et2wVr51Dl626kwvrz3X02XI1DSVnHJWyRyRLAHC8zdxli5k3vrnjuXTbE7DH397Wcl3nxJg1y9++rtpwk+wRoKEs7iFI6zWYatrQPBS2pk/65Yn0t1Zu7nX10W5epWbT/cxNNbVomtQJxhRALCL9QD0DVcmKgJktDWVPJNZPAA+1O4ZSi4qIiIjIYHCisZe9/hkQFvmkmT0J/Az4uZk9YWYfz3oM9QxIR53GAE+nFROoD7gN47YrY/X11OJkBeKG+jgg11p/WOOUok6i1T/8HvvB6mj3ZJxAQ89AUvx8luitKIQA4oqHOIKQ9tRKFViYvXW4U8v9VMf495PG+IC0noKZ0i4eIdfnKUY/tYIWjxtMt8W91y323Rw/ua3iCEREeub9wDHA4e7+MICZ/RbwZTP7gLt/vtMB1DMgIiIiIgPDvfc/A+Qs4My4IgDg7r8E3hbWdaSeAZm2dq1+7VoSK8euAGrxAWljsFP3a5icrLSgtjzyXLluXWN2IYBSIvtQYbIS9gtjxJPV41anY1RjFFInNXvtyvrl6/NJd7qjaJdJKKmxB6HdflkyCSWlxiP89O7od+id6niMOH4g3g/Y+vtRjMe8EaMyahQmUzIwhfdc/B56do98v4bzaoVvlzFIRGRWDdbNeq+NuvuTjYXu/oSZjWY5gCoD0jPd3kAkh+20G2jTeIPvieFC1eFBIbh4clHtLT76bKlp+3YahyqNTEYVjUoyiDTl3BqHGk68biVSrzafQWT5+26rltfW1dfGkpWDvf5jsqfnl5exp8N5ulOaX/91O7I1rrjm+zUcf+5mKti3VeVDQ4NERGZEuwlwMk2Oo8qAiIiIiAyOAQrwnQEHm1laekEjmm+gI1UGJDfdtkA2trxz3IqmoTmNk1oBeHF6XwLJWYrj2Y+rx7bWYTRxClSbrEA4h8px0VCneCbeyoi+oKaisacAYP5j9dfi+RfX3hzdDguaKcWt0TkW51Qobq1U3+PFG9cxEia5i4cXxesWPVrr5djykkw9urnJ2nrfqpdBrf8iIrPL3aeX0xpVBkRERERkgJhiBqrMbD4w6e6TYXk/4BTgV+7+nSzHUGVAeqpdy2FdStFWQjCnTVbw9emTUM19cltTWdzqOvpsqW2gkTdMVpaMJ6imMG1QfG6S8uKxlse0ckgz6rXlwkQ0Pnz7En3koDa5WVqPQF9JBAcD9cHFjesSvGB4wSjNDQ02iTiX8tz6RpzCZKWaqnbJg9H7JH4fVsYKbN4ze29Bp5b66bbkqydARGadowDiej8A3gE8aGb7AKuAfwPeYGZHuvu5nQ6g1KIiIiIiIoNpibs/GB6/HbjU3d8LvB743SwHUDOl5KbbVsO2KTfbpHeMW95jda35qTt0dVrNuzf0EJQXj0VxA8DkovpW2+S5xY8rYwWef2HrnoRhFvcQxJI9BY29B/MfKzB2zEYAnrhqPwB2++vaV1hqutCpaNPi37Y34OiDGdlWTl9XsJY9Tamfg6MOAqAyNsbiR6KYgjgFb5wxK+ukXu1ShKqlX0QGz2DNEDwDkv9cTgTOB3D3CTPLlLNdlQHpTw03Xcl3emNu/+2vr80ePCfePllBaJg9xFa+EoDJxXOat0l8vxRviJ4nDhKuO0acBrUhbWjWcYyFEHD83OlHVssWfOuObDvvwBorB41lcSWg3xVKlep8ArE48L06t0W7yvDtdwHQboDQTN7IqxIhIn1Fw4SS7jKzzwG/AfYBrgUws52zHkDDhEREREREBtM7gSeBvYDXuvvzoXx/4HNZDqCeAdnheSHf7sQ4jSjA2A/XADAZZh32olHcXh8EGg/v6CTuJRj2HoJ2QcV7nFrfc9BPjUN2253VjqXKW46pS51b3JbtPTDT0tIBq9VfRPpeP335zzJ33wp8NqX8NqC5uz2FKgMiIiIiIgPIzO6mvnrkRD0FNwKfc/fmlIsNVBmQgTe2ebKpLBknkIwfACgtjIJ5reIUt5WAxIRiIcizeOM6SifWpz6NW/yBpnVpRrZsB2Dz8kXVskXfvL1um2TMwDDq+9SiOSmUK9UeJbt1w6ydR6vJw9J0O4mgiMiMUc9A0htSyl5AlFno/xANI2pLlQERERERGQyOsgkluPuvU4p/Daw3s/VZjqHKgOzw4jH7hZujz0Q5MQFUrHjjuqayJqHXwFbdCQ09A8k4gsKPo+epliw/quUhhz0+oBtpmYb6VWGiQnF7fZzAbPYINJpqXIDiCUREBkqmREGqDEhfK59Qu3G3hlSNhVuim6u0m6yRZ6OhQ+W5zW/xxtSkrYzc0Dr1Y7t1jRqHBg2rqQ4JGqRKQHX4WJghMx6ulncQ+0zQjb+I9KusabyHgZk1t3DCEuBtwE+yHEOVAREREREZHKoMJF3QsOzARuAm4MIsB1BlQHZIvjqatEwTacyeYQkOTlU0fMRw6icaExERyZO7nzDdY+heSURERERkAJnZ28ys5VhUM3uZmb263THUMyB9LVNgr/SdthOHDVAMQBaV41ZUH/tI+vdxMsBcRESmRzEDdXYBNpjZWmAt8AQwF9gHOI5ozoFz2x1AlQERyU1aJWDsmI11y09ctV/TNktPfaDjse2wA6qPfe29Uzi7WVDRfywREekdd/8HM/sicCJwDHAQsBW4H/hjd3+k0zFUGRARERGRwaF5Buq4exm4Lvx0TZUBEZm2tB6BeDhQWk9Ao3ibLD0E/SaeVwJqQViFU4+k+HypVn5L/8wxICIikqTKgIiIiIgMhjCPi+RHlQERmbJWgcK9CBIemDgBoLDufgrjm2f7NEREdkyqDOQqU2pRM/uamT1uZvckyj5lZneZ2QYzu9bMXtxi3z3D+vvN7D4z2yuUn2Rm68L+t5jZPg37nW5mbmYrE2Xnm9kaMzsuLO8VtnlvYpsvmtnZXbwGIiIiIiIDy8x2N7OLzOz7YXl/M3tHln2z9gx8HfgicEmi7Hx3/5/hCf8S+DjwrpR9LwE+7e7XmdlCIJ5958vAae5+v5n9BfAx4OxwvEXAXwJ3JP7Il4eHvx3O58dh+XHgfWb2T+4+kfHvEZEuZZlErNsegUGMERARkdml1KKpvg78M3BeWP45cBlwUacdM1UG3P0ncYt+oizZB76AlE4bM9sfGHH368I+zyYPASwOj3cCHkus+xTwd8CHEmVFooqEA8kw8ieAW4G3A1/J8veISHe6HQ7ULmh46akP1NKEht+DNARIRERmmSoDaXZ198vN7KMA7l4ys3KWHacVM2BmnwbOAp4B0qZD3hd42syuAPYGfgScG1IgnQNcY2Zbgc3AUeGYK4CXuPvVZlatDLj7vWY2H7gF+HDD83wW+L6ZfS3LeS9ZtrjzRkNs8e4LZ/sUpIOZvkYTc0dTy1t9ltzntjzWkmWLsV3m1G+/g30m9Rnqf7pG/U/XqP/17Bo92pvD7uCeM7NdCFUlMzuK6P68o2lVBtz9POC8UAt5D/CJlOMfC6wAHiHqrjibqMviA8Ap7n6HmX0Y+Hsz+zPg82GbtOd7b4vyh83sp8Bbspz3JgX2daTXqP/NxDXaetoR0YMNW3nq5fVfF3v87W1sati+1iOwrelYu/11tP/Tu78ENm6vX7n7S1qew6D2Gugz1P90jfqfrlH/m5VrpJ6BNB8ErgJeZma3AkuB07PsmCmAOINvAH+YUj4OrHf3X7p7CbgSONTMlgIHu3scE3AZcDSwCHglcJOZ/Yqot+CqZBBxG/8f8BHy+5tERERERPqeu68DjiO6n/5vwAHufleWfafcM2Bmy939wbB4KvCzlM1WA0vMbKm7P0E0VfIaYBOwk5nt6+4/B34HuN/dnwF2TTzHTcCH3H1Np/Nx95+Z2X3AG4CfTvXvEpF07YKDO8UIANX4ABERkakyVwBxGjM7q6HoUDPD3S9J3SEhU2XAzC4Fjgd2NbNxouFAp5jZfkRBvb8mZBIKrfjvcvdz3L0cxv1fb2YGrAW+EoIa3gl828wqRJWDP81yLh18GljfcSsRERERGUxunbcZPocnHs8FTgLWUZ8JNFXWbEJnphSnpioKrfjnJJavAw5K2e47wHc6PO/xHdb/imhYUbx8JxomJNITz51+JAALvlXN+Nu2RyCOEWjXI9AYD2CJbeN1aWUiIiJS0xhXa2Y7Af+SZV/NQCwiLc37bjTiLq4IJB8/f9bTTdvHQ4IsYwWgcTvd7IuISEcaJpTF88DyLBuqMiAiIiIiA0MxA83M7D+oVZMKwP7A5Vn2VWVARKYtS49AUqvt7LADUocHiYiISFufSzwuAb929/EsO6oyICIiIiKDQz0DTdz9x1PdV5UBEelowbfuqIsbgKg3oNp630WQ8FQpnkBERFBq0TpmtoX06pEB7u6LOx1DlQERERERkQHk7oumewxVBkRkSjqN6W/Xkt8qLkCt/yIi0pF6Bloys92I5hkAwN0f6bSPKgMikkk8v0C3QcJpN/hZjvHcSxfWLc9fm+lpRUREho6ZnQpcALwYeBx4KXA/0PEfriboEhEREZHB4TPwM3g+BRwF/Nzd9yaagfjWLDuqZ0BE+srzf3Bk541ERGRoKYA41aS7bzSzgpkV3P1GM/vbLDuqMiAiIiIiMtieNrOFwE+AfzOzx4nmG+hIlQER6Uq3MQDTDRKef8UdXW0vIiIyhE4DtgIfAN4K7AT8TZYdVRkQERERkcGhYUJp/gz49zDr8MXd7KjKgIhMWdbMQp32SfYWqCdARESka4uBH5rZU8A3gW+5+39l2VHZhESkJ3ztvZo3QERE8hVmIO71TxZmVjSz9WZ2dVje28zuMLMHzewyMxsL5XPC8kNh/V6JY3w0lD9gZq9LlJ8cyh4ys3M7vizuf+3uBwDvJkov+mMz+1GWv0OVARERERGR7r2PKJd/7G+Bz7v7cmAT8I5Q/g5gk7vvA3w+bIeZ7Q+cQTQXwMnAP4YKRhH4EvB6YH/gzLBtFo8D/w/YCOyWZQcNExKRKWts+e80BEhERGTa+iBmwMyWAb8LfBr4oJkZcCLwlrDJxcAngS8TBfd+MpR/C/hi2P404Jvuvh142MweAo4I2z3k7r8Mz/XNsO19bc7nz4E3A0vDc7zT3Vtun6TKgIiIiIgMjpmpDOxqZmsSyxe6+4WJ5S8A/x1YFJZ3AZ529zid5ziwR3i8B/AogLuXzOyZsP0ewO2JYyb3ebShvNMkPC8F3u/uGzr9YY1UGRCRacsSSKxeAxERGSBPuvvKtBVm9gbgcXdfa2bHx8Upm3qHda3K04bxt60CuXvHuIJWVBkQERERkYFg9MUMxMcAp5rZKcBcokw+XwB2NrOR0DuwDHgsbD8OvAQYN7MRojkAnkqUx5L7tCrPnQKIRaQn7LAD6n5ERERy4TPw0+7p3T/q7svcfS+iAOAb3P2twI3A6WGztwPfDY+vCsuE9Te4u4fyM0K2ob2B5cBPgdXA8pCdaCw8x1VdvkqZqWdARKYtHu6T9aY/3v6Jq/arK1966gP5npiIiMjM+QjwTTP7X8B64KJQfhHwLyFA+Cmim3vc/V4zu5woMLgEvNvdywBm9h7gh0AR+Jq792xcrSoDIiIiIjIYupgHYCa4+03ATeHxL6llA0pusw14U4v9P02Ukaix/BrgmhxPtSVVBkSm4MGLD61bXv72dbN0Jv0lGRDc2EuQXNfYIyAiIiKzQ5UBERERERkcfdQzsCNQZUBEeqKbtKHJWIEX376obt1jR23J7ZxERGQHoMpArpRNSERERERkSKlnQERmnLIGiYjIVPVTAPGOQJUBERkIyeFDGjokIjLEVBnIlYYJiYiIiIgMKfUMiIiIiMhgyDBDsHRHlQERERERGRiKGciXKgMiU6BJxtIlJxPLEiSsNKIiIiKzS5UBEZkRCgAWEZFcqGcgVwogFhEREREZUuoZEOnSQeus5bq7Dh3u5oqs8wc0Dg8SERHJSjED+VJlQEREREQGhyoDuVJlQCRH7XoNknaEHoSswcJZegHaxRCoF0FERKR3VBkQERERkcGgeQZyp8qASJfuOtQz9wC0krb/oPQWJHsE8paWcUhZiEREJGbhR/KjyoBICw9efGjdsuYWaNY4PMhWvrL62NfcM9Onk9nW046oPp6zcaJuXeGWDTN9OiIiIrNGlQERERERGRyD0ZE+MFQZEOnSdIcIDaKOQ4OOOBCofT9bpfU3ddpQn14OBSqddFj1cWVk+K6diIhIO6oMiIiIiMjA0DwD+eo4A7GZfc3MHjezexJlnzKzu8xsg5lda2YvbrHvnmH9/WZ2n5ntFcpPMrN1Yf9bzGyfUP7bobxkZqc3HOsDYd2bE2VuZhcklj9kZp/s8jUQyc2gBAHnoe0EY2a8+PZFqWlB4/Jepwy1la+si2FIKm6rMPfJCeY+OUFlTrHuR0RE+pzPwM8Q6VgZAL4OnNxQdr67H+TuhwBXAx9vse8lYdtXAEcAj4fyLwNvDft/A/hYKH8EODuUVZnZQuDwcIy3JFZtB/7AzHbN8HeIiIiIiEhCx2FC7v6TuEU/UbY5sbiAlDqUme0PjLj7dWGfZ5OHABaHxzsBj4VtfhX2rTQeLrFfUgm4EPgAcF6nv0WkG62yB7Vr/Z9KPEE/9yakxQq88MPl6MF++1B+4CEAygtG67YZeXayab+0VKG9sP31h9ctF8qOlaLXeGRbdO6FrSVKi8ZS9y+ddBgj16/t6TmKiMg09O+/zYE05ZgBM/s0cBbwDHBCyib7Ak+b2RXA3sCPgHPdvQycA1xjZluBzcBR7Z7L3beY2d3AGuD8htVfAu4ys7/Leu5Lli3uvNEQW7z7wtk+hYE1b7L7ysCSZd1/q/X6Gj31pb0B2DVxai9498MAFPbas1pWeS76LJWX1N9YFx98iEWT9ee4ZFn02iyaXJCpLLY1MWAwy2d3Yuf6cymUHcrhD8l4eUam+R2hz1D/0zXqf7pG/a9n1+jRNutcMQN5m3JlwN3PA84zs48C7wE+kXLsY4EVRMN/LiMaAnQRUUv+Ke5+h5l9GPh7ogpCu+f7DPCZlPLNZnYJ8JfA1iznvml8c+eNhpxeo6nZOtp9ZWDT+NS+1Xp5jZ60bU1lFp6vuKC2rhzKysvrc/UXxzczb7T+79o0HvUMJMvblU3V9qcb5g1I9Axkrgzk8NrqM9T/dI36n65R/9M1Gnx5ZBP6BvA9misD48B6d/8lgJldCRxlZlcBB7v7HWG7y4AfTPMcvgCsA/55mscRyU3a8J9BTUu69NQHsMOj9KHxGD5ffXd1ffHGaEiVH31w4vcvZ/IUqylEC5P1owzNSa0ENA4FSqYgFRGRPqaegVxlCSBuYmbLE4unAj9L2Ww1sMTMloblE4H7gE3ATma2byj/HeD+qZxHzN2fAi4H3jGd44iIiIiIDJOOPQNmdilwPLCrmY0T9QCcYmb7ETUS/hp4V9h2JfAudz/H3ctm9iHgejMzYC3wFXcvmdk7gW+HQOFNwJ+G/Q8HvgMsAX7PzP7a3Q/I+LdcQDRcSSRXD158aMt1jUHGnYKBZzpYuDEAuG060DbbTb6m1mo+9sxE4+ZVPlprX5ju5GGNgcbdHq/TmNK4J0DBwiIig0UxA/nKkk3ozJTii1psu4bE2P+QSeiglO2+Q3TT31i+GljW6ZwS2y9MPP4vYH7WfUVERERkAKkykCvNQCwyDXGvQas0pHmLW/rd52Kn3dnz57PDmjvmSgujNKJj++9L+b6fd33M6fYYtGKV6L9DNQ9xIVt8RlqsgHoNRERkWKgyINJCfOO9M8/VlT+9aUHa5rk9X1LWYT2N+8f7TXf/2NimbZQWz6krm3zBfCoNN9JZbp6Tw3/iikFaBaGbSoMfc0jmbbuRVlFQBUFEZHZpmFC+VBkQERERkcHgaJhQzlQZEOnSzkue67xRj8Qt9kuWLWbTNI+V1hNRdVQU6lOaW/uKiNOHFg5+RbRu0Zzm/YK01v80cbrSWDJdaTcqo4XqP4fiTdF5Jlv1lUZUREQknSoDIiIiIjI41DOQK1UGRFqIW+HbtqD34Pl6vX+rv6du/6Pqk4BVxgpUXrsSgMJENKlXZaQWoFvcXj/RV5q03gI7PNMpZzK5MPo6m3zDEQCMbC1X1zX2BIxcv1a9AyIiA8hQzEDepjTpmIiIiIiIDD71DIhMwXRb8ftJ2t9i26NW9ZHwe2LpvJ48d3lu/VdQWuvExOtWVh+P/XBN6nGs1LlnIqlTlqB2vQZpvQwiIjKD1DOQK1UGRBKyDAnql4pAN7MLt0sbmsbX31u3PJqyTbHjUSKNMwlPR+nEhhvxG6Ib8cItG5jbMLSptKB21vENu4YGiYiI1FNlQEREREQGhrm6BvKkyoBIlzr1HmRtoe+0bbdmKtA5i8eO2pKpRyCeNTipcuyKuuWRbbVA4EoxGkhUnhN+vz6KQJ7z/dVU5tT3VRQSQ4faDQuK12XtNYiPa5PdDU0SEZEcaJ6B3CmAWERERERkSKlnQCShm1b92fTUl/YGts32aUyZv+rgztskUpdC1IuQ1pMAUZBx3IPgFu2XTH2aloaufPyhWU+3qlCqUBkJbSjht75ERURmllKL5kv/x0RERERkcKgykCtVBkQyms74/l7GCrQzm5mP4onF0mIHSgsaUoqWo2/2thmKKmDhP0BaD0Hhx+uB9Bb/eJz/5Pza88aTkll47sJEtJxMdxo/T/GmddEpHLeCymj96Mr4+eJtREREBokqAyI56jaFZ6t9uzlGu5mS47JZaTJGAAAe4ElEQVS0bfolRWpLDff7XrTqjXs830Ba0G98U26vPqRaFncpjz5bqpXFgcCr7qw/wImtA4kLP14PJ+c4bbKIiHRNw4TypQBiEREREZEhpZ4BkR7JI+A4r+FFsxn8HA8XqpswrKEZonhjGIZz7ApK8+sHCxW311J4FrdFLftxo1C72X8Lt2xoKrOU7RrFE5m1UgyzMpdDKtPy3Oi3HbuCws3rMzyDiIhMi3oGcqXKgIiIiIgMBtcwobypMiAyC/Jsqe+nlKdTVWozTj9OEVqZU6C0IGqFn7viAAB8/b29P7kGcS9GOSV2IP47SkvGKO070bGXQUREZLapMiCSg36/IW8XZDxTRp6fBKA8b4TSvPqvnpHnarMMFybrm3w8JbJpYpe50X5HR/MV2G13Nm/UY2M/WF23XEkELDeWpQ1ZEhGRKVLPQK5UGRARERGRgWBomFDeVBkQmYZuW9qnO8NxvM2ug/hFePtdAHi7IUFjrROcFRKBxP2ocMsGOG5F9LhcoVDu7/MVEREBVQZEREREZJD4ILaI9S9VBkT6RGOvQZ69Dv1m5Ply3fLolgkAtodYgE7iGYsrIb1n25mLZ1A8C7L93pFYyavpRysnHqZgYhER6UuqDIiIiIjIwFDMQL5UGRCZhiyt8ckW/ryy+bzg3Q/z5D++qOXztNIPvQcjN6yldFJ93ICvvhuA0WMOwQtharAQPlAZqcURxGlGy8Xod3GiP8fl2/r7sfHN0CY+QkREpsBRNqGcqTIg0iPJm/OppvZstd9TX9qbpafeOaVj9oNWMwfbrRuqswRXQjBuO3HO/35lGtcqIiJ9TpUBERERERkY1p+dwgNLlQGRGTDd1vu0HoJ2x2wVjPzEVfv1xVChLOJg3EpiSJGVB6ulvd97LkREBtJg/Svoe62TeouIiIiIyA5NPQMiO6C4J2BQegGmqnJsmOTr5vWzfCYiIjJTlE0oX6oMiIiIiMhgcDTpWM5UGRCZBVmzC3UTF5C2T9r+g9ZrEGce8mMOoTy3X6YXExER2TGoMiDSJ7pNPzqIKUWnw27dQPGYQwBw67CxiIjssDRMKF8KIBYRERERGVLqGRDJWZYW+3bDd9qJew/8uwd3f2IMztCgNHWzFodWIauoeUhEZOjoqz9XqgyIiIiIyEAwNEwobxomJNKnBrkVf6Z4wfCCAghERESmSj0DIiIiIjIY3JVaNGeqDIj0qalmC0r2KOxIGYdGrl9L+YRDAagU1RsgIjKsNEwoX6oMiOQoj5vvtBSjjWW7DuEXYeW4FZTn1M8zYKXKLJ2NiIjIjkGVAREREREZHEPYINZLHQOIzexrZva4md2TKPuUmd1lZhvM7Foze3GLffcM6+83s/vMbK9QfnPYd4OZPWZmV4bynczsP8zsTjO718z+JHGsD5jZOjN7c6LMzeyCxPKHzOyTU3gdRGbFdIKEl576wFAFGVeKzV9XhZJTKOm/goiIyFRlySb0deDkhrLz3f0gdz8EuBr4eIt9LwnbvgI4AngcwN2PdfdDwv6rgCvC9u8G7nP3g4HjgQvMbMzMFgKHh2O8JXH87cAfmNmuGf4OERERERlw5r3/GSYdhwm5+0/iFv1E2ebE4gJSOmzMbH9gxN2vC/s8m7LNIuBEIO4BcGCRmRmwEHgKKAFzEuuTSsCFwAeA8zr9LSL9JuvkYztSIPB0FCaiGAFNNiYiMqQc0P+AXE05ZsDMPg2cBTwDnJCyyb7A02Z2BbA38CPgXHcvJ7Z5I3B9onLxReAq4DFgEfBmd68AW8zsbmANcH7D83wJuMvM/i7ruS9ZtjjrpkNp8e4LZ/sUBpb73Bl5niU+Bwvv48bnTL6/260bNKUlY9XHjZWBYp/9XfoM9T9do/6na9T/enaNHu3NYSXdlCsD7n4ecJ6ZfRR4D/CJlGMfC6wAHgEuA84GLkpscybw1cTy64ANRL0FLwOuM7Ob3X2zu38G+EzKeWw2s0uAvwS2Zjn3TeObO2805PQadafWcr8t1+OmZRaKPfmPL0p9zif/8UXV/ey0O+vWbcr17GbY+KrZPoOu6DPU/3SN+p+uUf+blWs0yx0DZvYSoqHwLwQqwIXu/g9m9gKi+929gF8Bf+Tum8KIl38ATgGeB85293XhWG8HPhYO/b/c/eJQfhjRUP15wDXA+9x7M8FCHjMQfwP4w5TycWC9u//S3UvAlcCh8Uoz24UoBuB7iX3+BLjCIw8BDwMvz3AOXwDeQTRkSWTGPHHVfj0dwpPl+MMWSCwiIsOtD2IGSsBfhZjYo4B3h+Hx5xKNeFkOXB+WAV4PLA8/fwZ8GSBUHj4BHEl0T/wJM1sS9vly2DberzF+NzdTqgyY2fLE4qnAz1I2Ww0sMbOlYflE4L7E+jcBV7t7slnzEeCk8By7A/sBv+x0Pu7+FHA5UYVARERERKQn3P0/45Z9d98C3A/sAZwGXBw2uxj4/fD4NOCS0Nh9O7Czmb2IaETMde7+lLtvAq4DTg7rFrv7qtAbcEniWLnrOEzIzC4lyuyzq5mNE9VgTjGz/Yi6Rn4NvCtsuxJ4l7uf4+5lM/sQcH3oHlkLfCVx6DOAzzY83aeAr4f4AAM+4u5PZvxbLiAariQyVBRcLCIiQ6U3o2Ua7WpmaxLLF7r7hY0bhSQ7K4A7gN3d/T+jU/T/NLPdwmZ7UB8JMR7K2pWPp5T3RJZsQmemFF+UUoa7rwHOSSxfBxzUYtvjU8oeA17b6ZwS2y9MPP4vYH7WfUVEREREWnjS3Ve22yCkvv828P4Qw9py05Qyn0J5T2gGYpEeazeeX636IiIi3emHeQDMbJSoIvBv7h7Pl/VfZvai0CvwIsL8WkQt+y9J7L6MKHPmONHom2T5TaF8Wcr2PZFHALGIiIiISO/5DP20EYa/XwTc7+5/n1h1FfD28PjtwHcT5WdZ5CjgmTCc6IfAa81sSQgcfi3ww7Bui5kdFZ7rrMSxcqeeAZEpaNWiv/TUB5rWZckGlLZdWo9Clp4EZRYSERHpqWOAPwbuNrMNoex/EMXCXm5m7yBKivOmsO4aorSiDxGlFv0TiBLgmNmniJLuAPxNSIoD8OfUUot+P/z0hCoDIjnKc9hPu2O94N0PJ+YZiMSVgNKJh1XLRm5Ym9v5iIiIzDYDbGYCiFty91tIH9cPIStmw/YOvLvFsb4GfC2lfA3wymmcZmaqDIiIiIjI4KjM9gnsWFQZEJmCxqE4Mx0I/NSX9mbpqXd23K58QjTPX/HGdb0+JRERERlAqgyIiIiIyMCY7WFCOxpVBkSmoV3Qb9begnbByN0cyw4/EIBCuYIXWuY6pnLsivr9yrX+Vi/WJxgr3Ly+4/OKiIjMmAzZfqQ7qgyIZDT+0aObyuawsW55qpmD0nQKIN4UHjfe3BefL1EZTc8aPPmaWnBxcXtUCYgrDlbRt6uIiMiwUWVARERERAaEg4YJ5UqVAZEW0noCGm1ftQsAc161scOWkbRhRVMNPk6mEAUoTEYt/eX5tY+1TWZIuRBPn+6uYUEiIiJDRpUBERERERkYpo6BXKkyIJKDuIcgzbLP3Dbt1KONqUwrpx0JW0p1ZVaKegEqc4vVssJtUfrRydeurJVNhFiBYogVKEffqraqc6pSERGRWadhQrlKjzIUEREREZEdnnoGRKZg2WduA7LFFbQznR6DOEYgTg06sWSsum5kazlaF9KNtj2O4gRERGRQOJhmIM6VKgMiU5ClEhBXGLJKSzvaODyoeEC0rjBRprA9GiY0sWRO07EK26LKQGUk6vwrbi/XVoYvUVUCRERkIGmYUK40TEhEREREZEipZ0AkxXSH/yTlMRGZHXYAABOLol6A8twRJhfXt4zEgcBjz0zgIV2oh56BeBnANHWjiIgMMv0by5V6BkREREREhpR6BkRmWasegcZ4gW7EaUPTKFZAREQGmSlmIFeqDIiIiIjI4FBlIFeqDIj0yFTThqZnFboXgHg6MTvtSIrbo7RApfnFuv25/S549SHR4/CFWbxJvQEiIiLSTJUBkYQ8A4eTsgQJt9O4387/5NWhQHGloDARpQ/1ow+mcMuGqZ6qiIhI/3KqKbIlH6oMiIiIiMhAMFwxAzlTZUBkBmTpEeim92DTn22Hzxc7biciIiLSjioDIiIiIjI41DOQK1UGRFpY9pnbgO7jCOa8amMvTqfJUx98ruW6pafOyCmIiIjIgFNlQEREREQGh3oGcqXKgEgLvcos1Gi6mYZERESGhrIJ5U6VAZFZtPTUBzLNQNy4zQve/TA2vjl13XRmLhYREZHhosqAiIiIiAwMpRbNlyoDIl1a9pnbWg4hyiN4OK1lv6ls2eK224uIiOywVBnIVWG2T0BERERERGaHegZEupQ1sLhdYLBa80VERKbC1TOQM1UGRERERGQwOKoM5EyVAZGEeKKxpOmmGG2XMeg35x7NGDMzSZmIiIhII1UGRBLKJxxaWwgNDy9atQ2A4k3rqqsaKwidAofbDQuauG2XuuXfnBsde4/PNldMREREhp7mGciVAohFRERERIaUegZEgMnXHFa3XCi3H4/YOJwoOQwor+Dg35x7dNvegcnXrqxbHr12TS7PKyIi0s80z0C+VBkQERERkcGhykCuVBkQSWGl7lKXTbU3IK3lP44ZaGfy1QfiT08AYBV9KYqIiMjUqDIgIiIiIoPBATWC5UqVARFg9EdrAagcu2KWz6R9FqHSSYc1lVkp+lKsHFc798KP1+d/YiIiIrNOk47lrWM2ITP7mpk9bmb3JMo+ZWZ3mdkGM7vWzF7cYt89w/r7zew+M9srlN8c9t1gZo+Z2ZWh/Hgzeyax7uOJY51hZuvM7P2Jsl+Z2bcTy6eb2den8DqIAOAjVv0xB3Mo3LKBwi0bZvW8yiccSvmEQ3EDN7ByhcJk9GPumDvl0UL1R0RERCSLLHcNXwdObig7390PcvdDgKuBjzftFbkkbPsK4AjgcQB3P9bdDwn7rwKuSOxzc7zO3f8mUX4GcDhwlJktTJSvNLMDMvwdIiIiIjLo3Hv/M0Q6DhNy95/ELfqJss2JxQVUp2eqMbP9gRF3vy7s82zKNouAE4E/yXCuFj994jHA54D/Abw1wzFEdhgePgVetKZ1pRPrhxON3LB2Jk5JREREBsyUYwbM7NPAWcAzwAkpm+wLPG1mVwB7Az8CznX3cmKbNwLXN1QuXmVmdwKPAR9y93tD+RXAGuBf3X1LYvvLgb8ws32ynvuSZYuzbjqUFu++sPNGO6jykrHq48JkVMe1Pni/xOcV3/jvtHi0/Q4NszOO9MHfMEyG+TM0KHSN+p+uUf/r2TV6tMP6IWu577UpVwbc/TzgPDP7KPAe4BMpxz4WWAE8AlwGnA1clNjmTOCrieV1wEvd/VkzOwW4Elgenu9i4OKUUykD5wMfBb6f5dw3jW/uvNGQG7bXqBo4/MR2oD5dp/XgtUimD20XMFw1fjsA/qqDo3N60Tw2Pleq26QQAokLpQqVYv0IwJEhu579YNg+Q4NI16j/6Rr1vxm/RsomlLs8sgl9A/gezZWBcWC9u/8SIAQJH0WoDJjZLkRxBG+Md0j2ELj7NWb2j2a2q7s/2eEc/oWoMnBvh+1E6vjRB6eW262zGzDcSqFUab1uorbOCvVflOUTDq0+Lt64Lv8TExERkYE0pbQjZrY8sXgq8LOUzVYDS8xsaVg+Ebgvsf5NwNXuvi1x3BeamYXHR4Tz29jpfNx9Evg88P5O24qIiIjIoHLwSu9/hkjHngEzuxQ4HtjVzMaJegBOMbP9iEYm/xp4V9h2JfAudz/H3ctm9iHg+nCDvxb4SuLQZwCfbXi604E/N7MSsBU4wz3zwLCLgI9l3Fak3gyPP8w0NCiFr74bgOJ/Lsb237fldvHcA9X9RmpBxoVXvhyAyj1pdXgREZE+p5iBXGXJJnRmSvFFKWW4+xrgnMTydcBBLbY9PqXsi8AXO51TYvu9Eo+3A6nzHYiIiIiISDPNQCxDKznbcFp6zn43eu0aAOzwAwEoLaxlGKrOSpwyAdnEbgui/cN+cW+DiIhI31MAce40VamIiIiIyJBSz4AMnTg9546i2rKfyBhkGVpNJheHORVOiiYoG7leE5OJiMgAUMxArlQZkKE1ubD29h97egIAW3VntaxxFt/i1iivf6FUqX4R+Zp7en2amcUpQ/2YQ2oBww2jn5KpSUvz9PEXEZEBpMpArjRMSERERERkSKlpUIZOtfX/9Yc3lSUn52pUDi3pZcBCq0SxN6fYlZ9/5fCmsn3+tX524jhAulwsUpgcrvzJIiKyI3H1DORMlQERERERGQwOVNSolSdVBmRo+NFR4HDcwl+cqFTjABrjA5Jj7b1h3L0lvoMqx0XpSQs/Xp/vyWaQ1iMQe+ht0d/4sn8rA+mpU4vbo3VxrIGIiIgMH1UGRERERGRwaJhQrlQZkB2aH3NIU8t+vOxFo7IomqirMJn9i2V0ywTl+bP70fnV3xwI5YmO2/3irVFUQxxD4FZ7MYo3qUdAREQGkCoDuVJlQHZI1SFBc2shvoXtrYfMNB+g9nAkTim6tRaUOxvDgqA2NGj3LveLhw3t+87VOZ+RiIiIDDJVBkRERERkQDhkmFhTslNlQHZ4ldFC3e+07sU43WY8c295Tq1HwW6L0o7uCF89P//K4eodEBERkSpVBkRERERkMDi4K7VonlQZkB1aekrN6EvEC0ZlLOotKC2IPgpjP4hazf01hzXt1+/atfi3S0MqIiIyUDRMKFeF2T4BERERERGZHeoZkB1C+fhD65YLE+Xq4zgOwMrR7zg+INkzYKWobLLPewTi1v8lyxaz0/jmrvcTEREZeEotmitVBmRWVI5d0VRmFcdu3ZDr81jZqYxEQ4U8/j0vERxcaj3ucPRHa3M9FxEREZkmd6goZiBPGiYkIiIiIjKk1DMgs2Zip9G65TmbOs+o20qr2XQLx62gMlJMXSciIiIDSMOEcqWeARERERGRIaWeAZkVhZvXwxuOqCvzgtGcCHSaz/Pj9YyFx41BxsnehMbAYcULiIiI9CdXzECuVBkQERERkQHhGiaUM1UGZFZUjl3B2DOTTeXtWu854sD6jX96d1fP2SquANQTICIiIsNJlQGZFeVEes/CROvuPj/mEIDcU46KiIjIAHI0A3HOVBkQERERkcHhihnIkyoDMutK82u9BKPPlVK3qbz6kOrjwi3qJRARERHJgyoDIiIiIjIQHHANE8qVKgMyKwqTtS6+1EnBwmorRw98pEB5fvR2Lb92JQAjWybrtgG6DioWERERGWaqDIiIiIjIYHBXzEDONAOxzIrSvGL1pzBRoTBRobit9uG2imMVx4sFvFhQnICIiIgA0TChXv90YmYnm9kDZvaQmZ07A392z6hnQPrGyA21XP9xStGkxhSkhVIYQrRaQ4NERERkZphZEfgS8DvAOLDazK5y9/tm98ymRpUBERERERkcsz9M6AjgIXf/JYCZfRM4DRjIyoD5kE3pbGbD9QeLiIiIDJZfu/teaSvM7AfArjNwDnOBbYnlC939wnAOpwMnu/s5YfmPgSPd/T0zcF65G7qeAXe32T4HEREREemeu5882+cApN1LDmxjswKIRURERESyGwdeklheBjw2S+cybaoMiIiIiIhktxpYbmZ7m9kYcAZw1Syf05QN3TAhEREREZGpcveSmb0H+CFQBL7m7vfO8mlN2dAFEIuIiIiISETDhAaUmX3AzO41s3vM7FIzm2tmJ5rZulB2sZk19fyY2SFmtirse5eZvTmxbm8zu8PMHjSzy0LXV7zuj8zsvrDfNxrOY118HDP7vJm9P7H+h2b21cTyBWb2wV68JoOiR9fugLDuYjMrmNnBZrYhsf5MM3vezEbD8oFmdtfM/MX9aarXIez7AzN72syubihvu7+ZHW5m5ZCJInke+gyl6NE1Oinsv8HMbjGzfUL5nmZ2o5mtD5+vUxL7nG9ma8zsuLD8HTP7/cT6B8zsY4nlb5vZH+T9evSjGb5GHwz/h+4ys+vN7KUN56HPUYMeXZ+bw7XZYGaPmdmViXXHh/J7zezHifIzwnO+Pyy/z8y+kFj/T2b2o8Tye83sf+f5Wkgb7q6fAfsB9gAeBuaF5cuBPwUeBfYNZX8DvCNl332B5eHxi4H/BHZOHOeM8Pj/An8eHi8H1gNLwvJu4fdC4BtEw82+G8reBFweHheAtcCqxPOvIkq/Neuv4w527S4ClgLvBU4Or/0mYFFY/3+AdcARYfm/AV+e7ddjEK9DWHcS8HvA1YmyQrv9ibqSbwCuAU4PZfoMzeA1CuU/B14RHv8F8PXw+MLEd97+wK/C45cD5wPzE9flw8Dfhce7hGv0vcRzPAa8cLZfwx3wGp0AzA+P/xy4LDzW52gGr0/DNt8GzgqPdybKs79nWN4tsd2VRN+B3wzX63Dgp4n1dxCNwy+G5UuBN8/2azgsP+oZGFwjwLxQo58PPAdsd/efh/XXAX/YuJO7/9zdHwyPHwMeB5aamQEnAt8Km14MxC1f7wS+5O6bwn6Ph/I4tVZyrNmtwNHh8QHAPcAWM1tiZnOAVxBVLIZZrtcurC4SXYcK0fC/CtEX65Fh/WFEsyXG1+Zo4Lac/65BM6XrAODu1wNbGop36bD/e4n+cT6eKNNnqL28rxFEr/Xi8HgnahlAWpUXiT5XTu16Ja/R0cDVhO9RM9sb2Oru/6+Lv3OQzdg1cvcb3f35UH47UQYX0OeonV5cHwDMbBHRfUPcM/AW4Ap3fyTs3+q7zohe+33NbJ6Z7QQ8D2wADgzb6X/UDFJlYAC5+2+AzwGPELUOP0NU4x81s5Vhs9OpT3vVxMyOAMaAXxDdyDzt7qWwepyoVQGiFul9zexWM7vdzE4O57EFuBtYA1wWyh4DSma2J9GHeRVRjf9VwErgLnefmN4rMLh6dO0A/gH4HtHrfG0ouw042swWEN3M3ET9Dcyt0/+LBlNe16HBk632N7M9gDcS9bglz0OfoRZ6dI0AzgGuMbNx4I+Bz4byTwJvC+XXEFXe8CgocD5wC/DlsO1a4JUWDaWMr9EDRDeYQ/PZmoVrlPQO4PvhPPQ5StHD6xN7I3C9u28Oy/sCS8zsJjNba2ZnJba9guj6rHH3LeFeYwNRD8FRRNfmdqL/WS8matR6dIrnJV1SZWAAmdkSommv9yYaLrIAeCtRaqvPm9lPiWrzpTbHeBHwL8CfhFbkdhNojBANFToeOBP4qpntDODun3H3Fe7+jcR+cYtM/AW8KrE81DX9Hl073H29ux/p7m9z93LYNL4ORwCr3f0XwD5mthRY6GEa9WGUx3Vo5O7eZv8vAB9JXJvkfvoMpejFNQo+AJzi7suAfwb+PpSfSTQcZRlwCvAvZlYAcPf3uvth7n5DWN4O3AscSu1GRteo99coft63Ed3Qnx+X6XPUrIfXJ3Ym0XCe2AhRL/TvAq8D/qeZ7Qvg7heH63NBYvtW1+cYhuD69BOlFh1MrwEedvcnAMzsCuBod/9X4NhQ9lqiWnoTM1tM1Ir8MXe/PRQ/CexsZiOhxp6cQGMcuN3dJ4GHzewBosrB6hbndxvRB/pAoq7ZR4G/AjYDX5vyX71j6MW1a+V2olaXVxN9yUJ0Lc9AX7TTug6tuPuqFvuvBL4ZjcZjV+AUMyu5+5WpB9JnCHpwjUJF+GB3vyMUXQb8IDx+B1G8De6+yszmEl2rx5sOFLkN+G2iuJxNZnY78B5gBQ09QDuwmb5GmNlrgPOA40KlrJ1h/xz15Hsu7LcLUUPTGxPF48CT7v4c8JyZ/QQ4mCgGJM1tRPFrc4mGsT5BFK/zBEPSu9Yv1DMwmB4BjjKz+WGs/0nA/Wa2G0AYD/kRUv4hhW7t7wCXuPu/x+WhVfNGoi5DgLcD3w2PryQK3MLMdiX64mjXqnwr8AbgKXcvu/tTRIFFr6J2Uzqscr92rYSu80eBs6m97quA96PKwJSvQzut9nf3vd19L3ffiygu5y/aVARAnyHozTXaBOwUt1YCvwPcn3i+k8KxX0F0g/JEm2PdSnQjc2dYvouol2BPol6DYTCj18jMVgD/BJzaMB69lWH/HPXkey54E1Fg8bZE2XeBY81sxMzmE8Ws3Z+6d+Q2os/MUnd/PNyHPEHUmzHs/6NmlCoDAyi0mHyLKDvM3UTX8ULgw2Z2P9E/pf+Iu7TNbKXVUqr9EVFr1tlWSw12SFj3EeCDZvYQUQzBRaH8h8BGM7uPqMLwYXff2OYU7yZqUbu9oewZd39yOn/7oOvhtWvlVmBOYuzlKuC3GPIv2mleB8zsZuDfgZPMbNzMXhdWpe4/BUP/GerFNQq9nu8Evm1mdxKNR/9w2OWvgHeG8kuBs8PNSSu3EX2WVoXzLRH1IqyJh+/t6GbhGp1PlInm38P3X6cZX4f6c9TD7zmIepiTQ4Rw9/uJenHuAn4KfNXd72lzfpuIbv6TledVwG7UKtkyAzTpmIiIiIjIkFLPgIiIiIjIkFJlQERERERkSKkyICIiIiIypFQZEBEREREZUqoMiIiIiIgMKVUGRERERESGlCoDIiIiIiJD6v8HJV9Fx3Qmg7UAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import copy\n", + "\n", + "# same entity as in 2015\n", + "ent_2040 = copy.deepcopy(ent_2015)\n", + "\n", + "# Exposures: yearl economic growth of 2% in exposures\n", + "ent_2040.exposures.ref_year = 2040\n", + "growth = 0.02\n", + "ent_2040.exposures['value'] = ent_2040.exposures.value.values*(1 + growth)**(ent_2040.exposures.ref_year - ent_2015.exposures.ref_year + 1)\n", + "ent_2040.check() # check values are well set and assignes default values\n", + "\n", + "print('Total value in 2040: {:.3e}'.format(ent_2040.exposures.value.sum()))\n", + "fig, ax = ent_2040.exposures.plot_raster(raster_f=lambda x:x, label='value (USD)')\n", + "ax[0, 0].set_title('Exposure 2040')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## HAZARD IN 2015\n", + "\n", + "The flood models at 2015 are the same as the ones used in [San Salvador Risk](San_Salvador_Risk.ipynb). These are gathered in climada's Hazard class:" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2019-04-04 20:21:47,178 - climada.hazard.centroids.base - INFO - Reading file: Salvador_hazard_FL_2015.mat\n" + ] + }, + { + "data": { + "text/plain": [ + "(
,\n", + " array([[]],\n", + " dtype=object))" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# flood as for 2015\n", + "from climada.hazard import Hazard\n", + "\n", + "HAZ_FILE = 'Salvador_hazard_FL_2015.mat'\n", + "\n", + "haz_2015 = Hazard('FL') # set hazard type\n", + "haz_2015.read_mat(HAZ_FILE) # load file\n", + "haz_2015.plot_intensity(0) # maximum intensity reached at each point" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## HAZARD IN 2040: EXTREME CLIMATE CHANGE\n", + "\n", + "Future projections of climate change reported by 2015 disturb the frequency of precipitation between -16% and 5%. As a consequence, flood could increae 10% in an extreme climate change scenario as represented in the following model:" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2019-04-04 20:21:54,517 - climada.hazard.centroids.base - INFO - Reading file: Salvador_hazard_FL_2040_extreme_cc.mat\n" + ] + }, + { + "data": { + "text/plain": [ + "(
,\n", + " array([[]],\n", + " dtype=object))" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# flood as for 2040 with extreme climate change\n", + "from climada.hazard import Hazard\n", + "\n", + "HAZ_FILE = 'Salvador_hazard_FL_2040_extreme_cc.mat'\n", + "\n", + "haz_2040 = Hazard('FL') # set hazard type\n", + "haz_2040.read_mat(HAZ_FILE) # load file\n", + "haz_2040.plot_intensity(0) # maximum intensity reached at each point" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## FUTURE EXPECTED FLOOD DAMAGE\n", + "\n", + "The following graph shows the expected annual loss that is going to be generated by Acelhuate's floodings in the region of study of San Salvador.\n", + "\n", + "In 2015 the expected annual impact is 3.56 millions USD. In 2040 socio-economic development will increase the risk by 2.40 millions USD and climate change by 1.62 millions, obtaining an expected annual impact of 7.58 millions USD (more than doubled with respect to 2015)." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2019-04-04 20:22:01,812 - climada.entity.exposures.base - INFO - Matching 12472 exposures with 153222 centroids.\n", + "2019-04-04 20:22:04,252 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:04,267 - climada.entity.exposures.base - INFO - Matching 12472 exposures with 153222 centroids.\n", + "2019-04-04 20:22:06,359 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:06,379 - climada.engine.cost_benefit - INFO - Risk at 2015: 3.563e+06\n", + "2019-04-04 20:22:06,380 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:06,382 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:06,392 - climada.engine.cost_benefit - INFO - Risk with development at 2040: 5.962e+06\n", + "2019-04-04 20:22:06,393 - climada.engine.cost_benefit - INFO - Risk with development and climate change at 2040: 7.578e+06\n" + ] + }, + { + "data": { + "text/plain": [ + "Text(0.5,1,'Expected Annual Impact')" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# expected annual impact\n", + "from climada.engine import CostBenefit\n", + "\n", + "cb_acel = CostBenefit()\n", + "fig, ax = cb_acel.plot_waterfall(haz_2015, ent_2015, haz_2040, ent_2040)\n", + "ax.set_title('Expected Annual Impact')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If we look at the exceeded impact for a given return period (instead of expected annual impact), the numbers change considerably. The risk metric used in CLIMADA can be changed using its defined risk functions as follows:" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2019-04-04 20:22:06,491 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:06,495 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:06,505 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:06,506 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:06,525 - climada.engine.cost_benefit - INFO - Risk at 2015: 4.913e+07\n", + "2019-04-04 20:22:06,526 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:06,527 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:06,538 - climada.engine.cost_benefit - INFO - Risk with development at 2040: 8.221e+07\n", + "2019-04-04 20:22:06,539 - climada.engine.cost_benefit - INFO - Risk with development and climate change at 2040: 1.113e+08\n" + ] + }, + { + "data": { + "text/plain": [ + "Text(0.5,1,'Impact Exceedance at 100 years Return Period')" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# exceeded impact for 100 years return periods\n", + "from climada.engine import risk_rp_100\n", + "\n", + "cb_acel = CostBenefit()\n", + "fig, ax = cb_acel.plot_waterfall(haz_2015, ent_2015, haz_2040, ent_2040, risk_func=risk_rp_100)\n", + "ax.set_title('Impact Exceedance at 100 years Return Period')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## COST AND BENEFIT OF ADAPTATION OPTIONS\n", + "\n", + "Some of the damages could be averted by implementing adaptation measures. We are going to analyse several measures that could be implemented at household level. These tend to be profitable, but of low impact.\n", + "\n", + "The measure `No descargas en Lluvia` defines that every inhabitant of the region avoids discharging the toilet while raining. They should understand that any liquid flowing through the pipes of the houses goes down through the pipes of the city, by ravines and by rivers, sometimes lakes, to the sea. In its path it contaminates and floods, specially during the hours of heavy rain where the streets are inundated. The costs of this measure includes an education program, summing up to a net present value of 41,894 USD. " + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Measure cost 4.189e+04 USD\n", + "2019-04-04 20:22:06,635 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:06,637 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n" + ] + }, + { + "data": { + "text/plain": [ + "Text(0.5,1,'Maximumm reduced intensity with measure')" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Measure impact in 2015: No descargas en Lluvia\n", + "meas = ent_2015.measures.get_measure('FL', 'No descargas en Lluvia')\n", + "print('Measure cost {:.3e} USD'.format(meas.cost))\n", + "meas_exp_2015, meas_if_2015, meas_haz_2015 = meas.apply(ent_2015.exposures, ent_2015.impact_funcs, haz_2015)\n", + "\n", + "# exposures stay the same\n", + "\n", + "# impact functions slightly improved:\n", + "fig, ax = meas_if_2015.get_func('FL', 101).plot()\n", + "ax[0].set_title('Flooding AUP House with measure')\n", + "\n", + "# flood reduced up to 4.8 meters in worst events:\n", + "import numpy as np\n", + "haz_diff = copy.deepcopy(haz_2015)\n", + "haz_diff.intensity = (haz_2015.intensity - meas_haz_2015.intensity)\n", + "fig, ax = haz_diff.plot_intensity(0) # maximum intensity difference at each point\n", + "ax[0, 0].set_title('Maximumm reduced intensity with measure')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We will estimate the cost-benefit ratio of the following household measures. `Benefit` refers to the total averted damage when the measure is applied from 2015 to 2040, whilst `cost` refers to the implementation and maintance costs of the measure until 2040 (and has therefore been discounted to 2015)." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sanitarios de descarga Dual\n", + "Ahorradores en Agua en casas\n", + "No descargas en Lluvia\n", + "Reuso de agua de enjuage\n", + "Puentes sin basura\n", + "Captacion de agua de techos\n" + ] + } + ], + "source": [ + "# name of every considered measure\n", + "for meas in ent_2040.measures.get_measure('FL'): # measures related to flood (FL)\n", + " print(meas.name)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2019-04-04 20:22:12,773 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:12,775 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:12,789 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:12,791 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:12,872 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:12,874 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:12,886 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:12,888 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:12,962 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:12,963 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:12,976 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:12,979 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:13,058 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:13,060 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:13,072 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:13,074 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:13,153 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:13,154 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:13,166 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:13,167 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:13,241 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:13,243 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:13,255 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:13,257 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:13,335 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:13,337 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:13,349 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:13,351 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:13,365 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:13,367 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:13,460 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:13,462 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:13,476 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:13,478 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:13,565 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:13,567 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:13,579 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:13,583 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:13,666 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:13,668 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:13,683 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:13,686 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:13,774 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:13,777 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:13,794 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:13,796 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:13,889 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:13,890 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:13,905 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:13,906 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:13,994 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:13,996 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:14,011 - climada.engine.cost_benefit - INFO - Computing cost benefit from years 2015 to 2040.\n", + "\n", + "Measure Cost (USD m) Benefit (USD m) Benefit/Cost\n", + "---------------------------- -------------- ----------------- --------------\n", + "Sanitarios de descarga Dual 0.093099 24.4769 262.913\n", + "Ahorradores en Agua en casas 0.139648 25.1342 179.983\n", + "No descargas en Lluvia 0.041894 26.1106 623.253\n", + "Reuso de agua de enjuage 0.307388 24.4769 79.6288\n", + "Puentes sin basura 0.378912 25.1342 66.3326\n", + "Captacion de agua de techos 1.80857 25.1342 13.8973\n", + "\n", + "-------------------- --------- -------\n", + "Total climate risk: 110.672 (USD m)\n", + "Average annual risk: 7.57843 (USD m)\n", + "Residual damage: -39.7954 (USD m)\n", + "-------------------- --------- -------\n" + ] + }, + { + "data": { + "text/plain": [ + "(
,\n", + " )" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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UZJJrspV7AgMD2bNnD+Hh4cTExODn50e5cuUMjzdsWOCXQ0Ujn3/+OQsWLGDYsGGsXbsWAAcHB8aOHcuePXs0ji6nByYIIUR/KeUKIcTE+44DIKX8xMixKUZmbW2d53EbGxuTLD38sC5evMjUqVPzrLtvKUMv5cqVIyAgACmloWxKSY1jK4/m008/Zfv27QQGBvLBBx8AULVqVc6cOaNxZLnldwXhpP/5RB6PmW99DgWA27dvP3CFi5SSO3fulHBExS84OJiKFSsyb968HHX3LUF0dDSvvPIKu3btyrUz3NTq+Sg5JSYmGkp9Z30RS09Pp1SpUlqGlacHJggp5f/pb26TUv6d/TH9RHWhCCGsgX+AKCllJyFEBWA14AEcAgZIKdOEEHbAcqABcA3oI6W89DB/GaXwpk6dmu/jb731VglFYjwnTpzg77//tshv1CNHjsTR0ZHt27fTqlUrdu3axcyZM3P091BM09NPP83cuXNz/A5+9tlntGnTRsOo8laYVUyHpJT1CzqWz/MnAg0BF32C+B74SUq5WgixGDgqpVwkhBgD1JZSjhJC9AW6Syn75PfaahWTkp9OnTrxzjvv0KBBA61DKXaenp6Eh4fj5OSEm5sbN27c4Pr16zRv3twkd+Qq98TExNC5c2euXr1KVFQUTz75JC4uLmzcuLHE9h8VeRWTEKIZ0Bzwvm8ewgXIe/A692v4Ay8A7wEThe566hkgWH9KKDATWAR01d8GWAssFEIIac7lZhVNBQYG0q5dO3r06JHrF8/Uev8+LGtra8MeCDc3N+Lj43FxcSEqKkrjyJSC+Pn5ceDAAQ4cOMDly5cJCAigcePGJnmlm98cRCnAWX9O9nmIW0CvQr7+p8DkbM/3BG5IKe/q70cCZfW3ywIRAFLKu0KIm/rzr2Z/QSHECGAEgIN3XtMjiqKTnJxM586dSU9PJyIiQutwilWTJk3YtGkT3bt3p127dvTp0wcHBwe1eskMdO3alfXr19O4cWMaN25sON6jRw9++uknDSPLLb85iJ3ATiHEN1LKhy6eL4ToBFyRUh4UQrTOOpzXWxXisexxfQV8BbohpoeN61Glp6SRdut2jmNOpVVJKlMWEhKidQhG8+233xpWLX366ad8/PHHJCUlMX78eI0jUwryxx9/5Hn8zz//LNlACqEwG+VShBAfATUA+6yDUsqCdnS0ALoIITrqn+eC7orCTQhho7+K8AeyFtxHAgFApBDCBnBFtylPU7fCr3Fg3hZuXrwKQoCUup9Aj/WvaRydUpBTp06xdu1a4uLiWLhwIWfOnOHOnTs5usyZo+w9jR0cHJg+fbqG0SiFkVVCPy0tLVc5/QsXLlC+fHktwspXYRLEd8AaoBMwChgExBf0JCnlm8CbAPoriElSypeEED+gG6JarX+t9fqnbNDf36t/fIcpzD8cWfQn3rX8eeq9nmwZ9g3tlw7meOgePKtZTp2iuLg4wsLCuHr1ao6WiEOGDNEwqqL74YcfGDNmDD179mTlypUsXLiQxMREpkyZwrZt27QOr0jy69dh7vMrliprmDMzMzPHkKcQgoCAAGbOnKlRZA9WmAThKaVcKoQYl23YaWcR3vMNYLUQYjZwGFiqP74U+FYIcQ7dlYNJLE+6efEqLd/thpWNNSCxdbKj1pCWbHvlO8q1qap1eEX2888/079/f4KCgjhx4gQ1atTg+PHjtGzZ0uwTRFZl07p167JmzRoA6tSpw9GjRzWOrOjun1OJjY1l586ddO/eXaOIlIJkDXk2b96c4cOHaxxN4RQmQaTrf8YIIV5ANyTk/zBvIqX8E/hTf/sC0DiPc1KB3g/zuiXBqpQ1mXczsbKxppSLAylXErF1tiMt8XbBTzYD06ZNIyQkhN69e+Pu7s7hw4cJCQnhxIkTWodWZFeuXDE0zcnakCSEsIhd4nnNr2zevJlVq1ZpEI3yMMwlOUDhelLP1hfqex2YBCwBJhg1KhPiVb0MUbv/A6Bs80r8PXM9u978Ee/aARpHVjzCw8Pp3TtnXh40aJBFNJtp0KAB3377bY5jq1evzrFyxJK0bduWn3/+WeswFAuS7xWEfhd0kJTyF+AmYHpb/YysyZR7O1NrDGyOSzkP7qamU+4Zy+hr7OPjQ1xcHL6+vgQGBrJ37168vLwsolzDZ599Rtu2bVm6dCnJycm0a9eOs2fP8vvvv2sdWpFduHAhx/2UlBRWrlxpKOGgKMUh3wQhpcwQQnQB5pdQPCZNWAmLSQxZhg8fzu7du+nZsycTJkygTZs2WFlZ8frrr2sdWpFVrVqV06dP88svv9CpUycCAgLo1KkTzs7OWodWZJUqVUIIYVhU4OjoSL169QgNDdU4MsWSFKbUxnvolpyuAZKzjkspDxk3tIIZq9TGoYXbqf/qswAcmLflgWPWDSe2Lfb3fpCSKrURHh5OcnIy1apZViJUFFOidT+I4mwY1Fz/M/vaOYmuZIZFcvJ1Mdx2LuOWz5mWJ3tPAUVRip859YMo8ArClKlifUUXEBCQ5xWSnZ0d/v7+9OjRg9GjR+fofaxoo1q1apw6dQp48P83gFKlSlGhQgVmzpxJixaFLryslJCKFSsa+kG4u7uTkJBARkYGPj4+XLt2rURiKM4riMfa9rErCWhdBf+nK+PoZXm1n8aOHcuKFSsYO3YsAQEBhIeH88UXX9C7d288PDyYN28eERERfPjhh1qH+tj7+uuvDbdXrFjxwPMyMzM5duwYAwcO5Pz58yURmvIQLKIfhKJTtV8TInee4dSqMNwreuPfqgr+LYMo9YR9wU82A9988w1bt26lTJkyhmMdOnSgbdu2nDhxgjZt2vDcc8+pBGECWrZsabjdqlWrfM9t06ZNrpVOimmwtH4QdlLKOwUd00JJDjGlp6QRvfc8EbvOcO1ENN51Amg+vXOJvDcYb4jJw8ODS5cu4eJyb97lxo0bVKhQgYSEBKSUuLi4kJiYaJT3N6Zbt24xc+ZMdu7cmauMiLm3HE1LS+Obb77Js52qJexhsWQW0Q8im73A/c2B8jpm0WwdSxHQqjK2TqWQdzOJ++eS1iEVi86dO9O1a1emTp2Kv78/kZGRzJkzh86ddclv7969BAYGahvkIxozZgyRkZHMmDGD/v37s2LFCj766CN69uypdWhFNmjQII4ePUrnzp3x9fXVOhzlIWT1gwgLCyM8PNyk+0E88ApCCFEaXY+GFega/GTNiLkAi6WUmhciKokrCCkl8f9GErHzDNF7z+Po8wQBrarg/1RlHEuwH4WxriBSU1OZOXMmP/zwA9HR0ZQpU4bevXszY8YMHB0diY2NJS0tzSxXN/n4+HDq1Ck8PT0NXdeioqLo3Lkzhw5pvkq7SNzd3bl48WKOqq6KUljFcQXRDhiMru7SPO4liETA/BsWF9KmQUuxsbfF/+nKtPqwNy4BHlqHVGwyMjJYuXIlM2fOZO7cuXmeU1KXvMaQmZmJq6uuZ4ezszM3btzAz8+Pc+fOaRxZ0ZUrV447dzQf5VUKKb9VZ9mZ2tBnfg2DQoFQIURPKeWPJRiTSWk2tRMeVcz3QzI/1tbWTJw40eyrtj5InTp12LlzJ88++yxPPfUUr7zyCs7OzlSuXFnr0Ips4MCBdO3alXHjxuUaYiqpzVZK4WVfdXbgwAFCQ0MZO3Ys5cuX5/LlyyxcuJCBAwdqGGHeCjNJPQ4IQXfl8DW6uYcpUkrNC9qUxBBTcuzNBz5Wkh3ljDXENGDAAF588UXDnIMluXDhAlJKKlasSHx8PG+++SaJiYm8/fbbVK9eXevwiqRChQp5HhdCqNVLJq5mzZps2bKFsmXLGo5FRkbSvn17jh8/XiIxFOck9RAp5QIhRDvAB3gZXcLQPEGUhC0jQu91kgNDNzmwjI5yqamp9OrVi2bNmuW6DDb31TBPPvmk4ba3tzdLlizRMJridfHiRa1DUB5RdHR0rnpgzs7OREVFaRTRgxUmQWR9YnQEQqSUR4UlFNQvpB4bxua4n5qQzKlVYXhVL/OAZ5iXmjVrUrNmTa3DMIply5Y98DFLGFZLT09n3759REdH06dPH5KTdaXSnJycNI5MyU+XLl3o0qUL06ZNw9/fn4iICObMmUOXLl20Di2XwgwxhaBbzVQBqANYA39KKRsYP7z8aVVqIyP9Lr+P/JYOy14usfcsqWJ9luT+jUexsbGcP3+eFi1aPLBxvLk4duwYXbp0wc7OjsjISJKSkti0aROhoaGG7nmKaXrQysG3334bBweHEomhOIeYhgJ1gQtSyhQhhCe6YabHVlLkDTLupBd8oplIS0vjzJkzuTaTmftkZ15JYNmyZYZ6RuZs9OjRzJo1iwEDBuDu7g7odlebU7eyx5W9vT1z58594MpBU1JggpBSZgoh/IFg/cjSTinlRqNHZiJ2vrH23iAbkHHnLrfCr1Gtr2V0Jdu9eze9e/fmzp073Lp1y7BrOiAgwCInOwcPHoyXlxcfffSR1qEUyYkTJ+jfvz9wr56Pk5MTt29bRitcxTQUmCCEEHOBRsB3+kNjhRDNpZRvGjUyExHYtkaO+zb2NrhW8LaYMuATJkxg8uTJTJgwAXd3d65fv86sWbNwdHTUOrQiy8zMzHE/JSWFFStWWMTmssDAQA4ePEjDhvdGCcLCwqhUqZKGUSmWpjBDTB2BulLKTAAhRChwGHgsEkT5Zy27cc7Zs2cZN25cjmNTpkyhQoUKTJo0SaOoioeNjU2uzUlly5bNURXVXL377ru88MILjBo1irS0NObMmcPixYst4u+mmI7CVnN1A67rb5fc4n+NnFyxr1DnVe/f1MiRGJ+rqyu3bt3Czc0NPz8/Tp48iaenZ64CcObo/qWgTk5OeHl5aRRN8erUqRO//fYbS5YsoVWrVly+fJmffvqJBg00XztSZJZcZNHcFCZBzAEOCyH+QDca/zQWfvWQctX8Kpc+qh49erBp0yaCg4MZOnQobdq0wdbWlt69e2sdWpGVL19e6xCMqn79+nz55Zdah1HsLLnIYpa4uDjCwsJyJUBTW35dqI5yQgg/dPMQAtgvpYw1dmCFoWVHueTYmxaxk/p+u3fvJjExkXbt2plkdcmH8dRTTxXYLc8Sd5CbO0susgjw888/079/f4KCgjhx4gQ1atTg+PHjtGzZssSWXxd2mesDPwGEEO2EEL0ApJQxUsoNUsr1wLNCiOeLMVazk5F+ly0jzXuXcZaoqCgSEhIM91u2bEmTJk2IjTWJ7wBF0rp1ay5dukSrVq3o37+/YSimYcOG+Pr6MmTIENUIyQRZcpFFgGnTphESEsLhw4dxcnLi8OHDfPXVVyY5PJjfENM7QF5fr7YD64CtRonIXJhxL+/sunXrxrJlywxr6UGXNIYNG8b+/fs1jKzofv/9d7Zs2UK1avcWGrz00ksMGjSI/fv306NHD/r27cvkyZM1jFK5nyUXWQTdPMr9Q7iDBg2idOnSfPzxxxpFlbf8xhAcpZTx9x/UDy8VuJdfCGEvhAgTQhwVQpwQQryjP15BCLFfCPGfEGKNEKKU/rid/v45/eOBj/ZXKiEWUm3k7Nmz1KpVK8exWrVqcfr0aY0iKj6nT5/OUY8JdPMSZ86cAaBx48ZcuXJFi9CKTWZmJjExMVqHUay+/vprQ5Oqzz77DAcHB27cuGH2tcGy+Pj4EBcXB+iWK+/du5fz58+TkZGhcWS55Zcg7IUQua4whBC2QGH2g98BnpFS1kG3E7u9EKIp8AEwX0oZBCSg26mN/meClLISMF9/nmJk3t7euS7dz507h6enp0YRFZ+nn36al19+mXPnzpGamsq5c+cYPny4obfzsWPH8PPz0zjKR3Pjxg2Cg4Oxt7c37H3YsGED06ZN0ziyosnIyOCbb77B398fuFdkcc2aNWZfgTfL8OHD2b17N6Dbh9SmTRvq1KnDmDFjNI4st/w6ys0FfIFXpZTJ+mNOwGfAVSnlG4V+EyEcgd3AaOBXoLSU8q4QohkwU0rZTgixRX97rz4xxQLeMp9ZdGNOUv/28oMLvQHcvp5cotVcjTVJ/f7777NmzRree+89nnzySc6fP8/06dN58cUXeest8+4Ldf36dcaMGcNPP/1ERkYGNjY2dO/enYULF+Ll5cV0qx/bAAAgAElEQVSZM2dITEzMsdnMXPTt2xd3d3dmzJhB9erVSUhIID4+nubNm/Pff/9pHV6ReHp6Eh8fb/aLJAorPDyc5OTkHEOhxlYctZimAbOBy0KIy/pj5YClwPRCBmENHAQqAV8A54EbUsq7+lMi0RUCRP8zAkCfPG4CnsDV+15zBDACwMGILT8bTmxrtNc2JVOmTMHW1pZJkyYRERFBQEAAw4YNY+LEiVqHVmQeHh6sXr2azMxM4uPj8fb2xsrKyrDDukqVKhpH+Oi2b99OdHQ0tra2hpVa3t7eZj9kBrrx+MWLF5vkN2pjMOV2vvklCG8p5RT93EHW/v1zUspCF3uRUmYAdYUQbugmtvNKkVlXCHkN6ue6epBSfgV8BboriMLG8rC8a/kb66VNipWVFf/73//43//+p3UoRmNlZYWvry/Hjh1j+fLlfPfdd0RHR2sdVpG4urpy9erVHENk4eHhZjtkll1YWBiff/45H374Ya4eJbt27dIwsuKRX/tRU9sImF+CWCaEcAf+BDYDu7N9838oUsobQog/gaaAmxDCRv9a/kDWb2okEABE6oeYXLm3e1sxkj/++IPAwEAqVKhAbGwsb7zxBtbW1rz//vtm3Y86S3x8PCtXriQ0NJSjR4/SsmVLFiww/9Lpw4YNo2fPnrz33ntkZmayd+9e3nrrLUaNGqV1aEU2fPhwi65Km739KEBMTAwLFiygb19t9nTlJ9+NckIIe6A10AFoAYSjSxabpZT5pjohhDeQrk8ODug60H0ADAJ+lFKuFkIsBv6VUn4phHgFqCWlHCWE6Av0kFK+mN97aLlRrqQZaw6iWrVqbNmyhXLlyhEcHAyAg4MD8fHxbNiwwSjvaWzp6els2LCBb775hi1btlCpUiX69evHp59+yqlTp/Dx8dE6xCKTUrJgwQK++uorLl++TLly5Rg5ciTjxo174LdTxXTFxsbSvn17jhw5UiLvV9g5iELtpM72ohXQJYv26CaaH1jzWghRGwhF12DICvheSjlLCPEksBrwQFf0r7+U8o4+GX0L1EN35dBXSplvvWmVIIrOxcWFW7ducffuXXx9fbl8+TKlSpWiTJkyXL16teAXMEEeHh5YWVkxePBggoODqV+/PgB+fn4cPXrUIhKEJbP0ToB5SUhIIDAwkJs3b5bI+xVbwyAhxAdZK5aklBeBL/V7FHrl9zwp5b/oPuzvP34ByJVYpJSpgPkXADIzLi4uxMXFcfz4capXr46zszNpaWmkp5tvQ6TatWuze/du9u/fT1BQEBUqVMixEdBc7dixo1DnmXujp2+//TbH/eydAC0hQcyYMSPH/ZSUFDZt2kSHDh00iujBClOs73ng/iWt7aWUj8X207TEVM6uO8TNC/HcTc35odlqbr450iy89tprNGrUiLS0ND799FMA/v77b6pWrapxZI/uzz//5PLlyyxfvpyPP/6YsWPH0rZtW5KTk8068Q0dOjTH/aioKIQQeHp6cu3aNaSU+Pv7m32jJ0vuBAgQERGR476TkxMTJ05kwIABGkX0YPntgxgNjAGeRLc8NcsTwB4p5UvGDy9/JTHEtPvtn8lMz8C/ZRDWdrY5HivJXhHGLNZ39uxZrK2tqVixouH+nTt3cu2wNle7d+9m+fLlfP/999jY2FhEDab333+fa9eu8e677+Lo6EhKSgozZszA09OTN9+0vGLLmZmZeHl5cf26WrdSHIo8ByGEcAXc0ZX7npLtoUQppUn8XyqJBLHhxUW88N1wrG0L2zrDOIyZINLT09m3bx/R0dH06dOH5ORkQPfNxpKkpqaybt06li9fzm+//aZ1OEXi7e1t2AeRJT09nTJlyhAfn6tCjll5UCfADz/80OyvjuDBQ4VZVYZLokx9ccxBSCnlJf3qovtf3MNUkoSxuQZ6cftqEs5+5t+mMi/Hjh2jS5cu2NnZERkZSZ8+fdi5cyehoaGsWbNG6/CKlb29Pf369aNfv35ah1JkTk5OhIWF0aJFC8OxAwcOWESrWEvuBAi6ocKsfThZw4Ogq9EUGxtL7dq1Wb16NUFBQVqGCeSfIFYCndDthJbk3Mgm0Q09WTzv2gH8/fZ6yj9XHXv3nL98gc/XeMCzzMfo0aOZNWsWAwYMMEzktmrVyqLXoVuCd999l/bt29O5c2cCAgKIiIjgl19+4YsvvtA6tCKz5E6AoEsQN2/eZNasWTg4OHD79m3efvttXF1dGT9+PK+//jpjxoxh61btC2bnN8TUUkq5Wwhhr19hZHJKYohp11s/5nlcCMFT7/Uw6ntnZ6whJnd3d65fv44QAg8PD8MYb/bbimk6efIkP/74I9HR0fj5+dGrVy+LKWiX3YULF7C2traYDoHe3t7ExMRgY3Pv+3n24cHk5GT8/f1z9GkpbsUxxLQAaADsAeoXV2Dm5un3LafNYV4CAwM5ePBgjoJ1YWFhhgqhiumqXr26RSaEfv368dprr9G8eXNCQkIYM2YMVlZWfPbZZ7lWcpkjJycnDhw4QLNmzQzHDh48aBgeNKUihfkliHQhRAjgL4T47P4HpZRjjReWablz6zZx/1wi9UYKlXs04Pa1JKSUOHoZr1hgdu/WeJrIyF+M8trjxnWmQ4fn6d+/PXfu3GbKlEGsWPEbH3zwqtHeMzsrq1KUKWPcwohXrlwhKSkpx7H7+0QopmP79u2EhoYC8Mknn7Bt2zbc3Nzo1q2bRSSIWbNm0bZtW7p06UJAQACRkZFs3LiRzz//HND9/Xv1Mo0l9PkNMXkBz6ErjzHj/sellKHGDa1gJTHEFH8skv1zNuEW5MP1UzF0+X408cci+W/dIZrP6GLU986yoK5xO7weO3aOVat+JyoqnjJlvOjXrx21a5fcFYS/fyejvO7mzZsZOnQosbGxORrDCyFMsjmLopO9D3Xjxo2JiooC7u36twRaDw8WeYhJSnkVWC2EOCWlPFqs0ZmRf5fsovEbHfCpE8DGvv8HgEeV0iT8F6dxZMWnVq1K1KpleUNKr7zyCtOnT2fQoEE4OBSmx5ViCurWrcucOXO4fPkyL7zwAqDbFOji4qJxZMXHXIYHC7O4/7YQYjvgK6Wsqa+x1EVKOdvIsZmElLhEfOoE6O7o13FZ2VgjM8y3J/XHH68o+CRg0qT+Ro7EuBISEhg5cqQqXmdmli5dyvTp07G1teWjjz4CYO/evbz0kuZ7c4vNhg0b2LlzJ1evXs1xdWtqbVULkyC+Bv4H/B/oaiwJIVaiayZk8Z4o50Hcocv41r+3guLKkXBcyptvS87o6HtF+O7cSee33/ZQp04QZct6Ex0dz5Ej/9GhQ3MNIyweQ4cOJSQkxCLq99zv7t27fPnll3l+yJh7z4SKFSuycuXKHMd69eplMuPyRfXOO++wePFi+vbtyw8//MDIkSNZuXIlffr00Tq0XAqTIByllGH3fQt7pL4Q5qj2kJbsmbWR0o0CyUi7y6GFO4g9cJGmU40zbl4SPvlkvOH2mDEfsnDhJDp2vLfh6rff9vDLL39rEVqx2rdvH5999hlz587N1dvC3D9EJ0yYwI4dOxgxYgRTp07lvffeY9GiRSbZU+BRxMXFERYWliv5WUKyX7ZsGVu3bqVmzZqEhIQwf/58+vXrx+zZpvedu8By30KI34BXgR+klPWFEL2AoVJKzUsPllS579vXkoj48wwpV27h4PUEAW2qlNgKJjDuJHX16n04dmwl1tbWhmMZGRnUqhXMyZMls5PaWJPUWSth8jJo0CCjvGdJKVu2LHv37qVcuXKGSd3Tp08zcuRIdu7cqXV4RfLzzz/Tv39/goKCOHHiBDVq1OD48eO0bNkyz0J+5sbV1dVQ1tvHx4eoqChsbW1zHDe2Yiv3DbyCrsVnVSFEFHARMO/B6Yfk4OlM5Z4NtA7DKAID/QgN/ZUhQ+6tyFq+fBPly5t/NzlzTwL5SUlJISBANzfm4OBASkoKVatW5fDhwxpHVnTTpk0jJCSE3r174+7uzuHDhwkJCeHEiRNah1YsKlasaEh8NWvWZNGiRbi7u5tkSfoCE4S+f8NzQggnwEpKmWj8sJSS8uGHrzF8+PssWvQTpUt7Eht7DRsba776yvwrgkopWbJkCatWreLq1av8+++/7Nq1i9jYWF58Md9mhSavWrVqHDhwgMaNG9OwYUNmzpyJi4sLZcuW1Tq0IgsPD6d375ytYQYNGkTp0qX5+OOPNYqq+MyePdtQf2nu3LkEBweTlJTEl19+qXFkuRWmYZAd0BMIBGyy5iKklLOMGplSImrWrMiuXf/HoUNniIu7jo+POw0aVMVW4+q1xWHGjBls3bqV8ePHG3o1+/v7M2HCBLNPEAsWLDAMC37yySeMHj2axMREvvrqK40jKzofHx/i4uLw9fUlMDCQvXv34uXlZTF7Vzp27Gi43bhxY86dO6dhNPkrzKfAeuAmuqJ9d4wbjqIFW1sbmjQx/8KD9/vmm284fPgwXl5ejB49GoAKFSpYRMnoRo0aGW4HBQWxbds2DaMpXsOHD2f37t307NmTCRMm0KZNG6ysrHj99de1Du2xU5gE4S+lbG/0SMxEcuxNhJXA0cdyNu1YqoyMDJydnQEMeyGSkpIMx8xZfu1Hzb3l6Btv3GtgOXDgQFq3bk1ycjLVqpVcgy5FpzAJYo8QopaU8pjRozFBYR9tpmKnOnhW8+PStpMcWfQHQgjqjGhFYFvL+9ZtSTp27MjEiROZP38+oJuTmD59Op07d9Y4sqK7vyZRfHw8aWlpFtFyFHTJPauJVZkyZWjatKnWIT2WCpMgWgKDhRAX0Q0xCXTNhGobNTITEX80gobjdctMz/18mKfe7Y6tkx173/tFJQgT98knnzBw4EBcXV1JT0/H2dmZtm3bmtxu1Udxf8+EjIwMZs+ezRNPlNzya2P5999/6datG6mpqfj7+xMZGYm9vT3r1q2jTp06Wof3WClMgtB8v4OWMu9mYGVrze1rSaQlpuJZvQwAd26kaBxZ8UlIuMWOHf9w5UoCo0f3JDb2GlJK/PzMu0mLi4sLP//8M1euXOHy5csEBATk2jBnKaytrZk6dSr+/v5MnDhR63CKZMiQIbzyyitMnDgRIQRSSubPn8+QIUM4ePCg1uEVi61bt7J69WquXLnCxo0b+eeff7h165bJDQ8WWHhcSnkZCACe0d9OKczzLIVrBW/O/HCA06vDKN0oENBtnLNxLKVtYMVk795jtGo1inXrdrJggW5j3MWL0bz1luktuXtUPj4+NGrUyGKTQ5atW7eaVC+BR3X27FnGjx9vmDcSQjBu3Dj+++8/jSMrHp9//jmjR48mKCjIsKPfwcGBadOmaRxZboVZ5vo20BCoAoQAtsAKoEV+z7MU9cc+y8kV+7CysaLmyy0BuH46hnKtq2ocWfF4550lfPnlG7RsWYeaNXW70uvVq8KRI5bxy2ipAgICchQhTElJITU11STX0j+sjh07smHDBrp37244tnHjRkNlV3P36aefsn37dgIDA/nggw8AqFq1KmfOnNE4stwKM8TUHagHHAKQUkYLIcx/oLOQnP3caPy/nIu4yrYIomwL7RuKF4fIyDhatswa19V94JQqZcPdu5ax5txSrViRsyKvk5MTlStXNtuS2AMGDDAkvIyMDPr27UuDBg0M/bYPHjxI165dNY6yeCQmJhp2wWf9ndPT0ylVyvRGJQqTINKklFIIIQH0O6oLJIQIAJYDpYFM4Csp5QIhhAewBt3Gu0vAi1LKBKH7L7UA6IhuGGuwlPLQQ/59jCI1IYWE/2K5cysVstWuCnze/Cepg4LK8eefh2jd+l5X2b/+OkLVqpbR/9dStWrVSusQitX9LW5r1qxpuF29enXatWtX0iEZzdNPP83cuXOZOnWq4dhnn31GmzZtNIwqb4VJEN8LIf4PcBNCDAeGoCsBXpC7wOtSykP6K46DQoitwGBgu5RyrhBiCjAFeAPdZHiQ/k8TYJH+p6ai957nwCe/41zGlVvh13Ep58Gty9fxrO5nEQli+vQhDB48i2efbURqahpTpixk69YDLF06teAnm7iTJ0/i6emJr68vSUlJfPTRR1hbWzNp0iRD/19zlf0bd3Z2dnb4+/vTrVs3s1rx8/bbb2sdQon5/PPP6dy5M19//TWJiYlUqVIFFxcXNm7cqHVouRRmkvpjYC3wI7p5iBlSys8L8byYrCsAff2mU0BZoCuQVWYzFOimv90VWC519qFLSH4P+fcpdidX7KXBuOd4dkEwNna2PLsgmHqvPoN7RR+tQysW9etXZcuWz6lcuRx9+jxHQIAvv/wyj7p1K2sdWpEFBwdz48YNACZNmsSuXbvYu3cvI0eO1DiyonN1dWX9+vVIKfH390dKyYYNG7C2tubUqVM0a9bMIpbzWiI/Pz8OHDjAmjVrWLlyJaGhoezfv98kF1EUquCOlHIrsFXfp/raw76JECIQ3TzGfnSd6WL0rxsjhMj6pC0LRGR7WqT+WMzDvl9xSolPxL9lzvmG8s9UY9PAJdQa+pRGURUvPz9PRo/uqXUYxe7SpUtUqVIFKSXr1q3jxIkTODg4UKFCBa1DK7KzZ8+yadMmWrS4t1Zk7969hvpTmzdvZvz48QwcOFDDKJUHEULQpEkTmjTRfJAkXw9MEEKIpsBc4DrwLvAt4AVYCSEGSik3F+YNhBDO6K4+xkspb+XT/jGvB3I1qxBCjABGADh4G3+u3M7NkdSEFOzdHXH0fYJrp2Owc3FAZppvy9Fx4+YVqg3np5+a93p6Ozs7EhMTOXnyJAEBAXh5eXH37l1SU1O1Dq3I9u/fn+vDpWHDhoSFhQHQrl07IiMjtQhNycP9q84eJDw8vASiKbz8riAWAm8BrsAOoIOUcp8QoiqwCigwQQghbNElh++klD/pD8cJIfz0Vw9+wBX98Uh0+y2y+APR97+mlPIrdP0pcA/yNfqndGDbGlw7GU3ZFpWo1LUef731E0IIKnWvZ+y3NprAwDKG29ev32Lt2u0891xjypb1ITo6nm3bwujVy7Q27DyK4OBgnnnmGRITE3n11VcBOHTokEVcQdStW5epU6fyzjvvYG9vT2pqKjNnzjTMO1y8eBEPDw+No1SyZF91duDAAUJDQxk7dizly5fn8uXLLFy40CSv9h7YUU4IcURKWVd/+5SUslq2xw5LKfP9hNSvSgoFrkspx2c7/hFwLdsktYeUcrIQ4gV0nes6opuc/kxK2Ti/9yipjnLZpVxJ5O6ddFwCSu6Xz5gd5V56aQZjx/bJUc01LOwECxas4bvvSqaiu7E6ygH8/vvv2NraGlaImOqO1Yd16dIlgoOD+eeff/Dw8OD69es0bNiQ7777jgoVKvDPP/8QGxtLp07m2Rr3999/58iRIyQlJeU4PmuW+XcZqFmzJlu2bMnRuyMyMpL27dtz/PjxEomhODrKZWa7ffu+xwrzzb0FMAA4JoQ4oj/2Frphq++FEEOBcCCrM8gmdMnhHLplri8X4j1KnKOPZW0BOXz4DPXrV8lxrF69Khw6dFqjiIpX27ZtiYiIYN++fTRt2pSGDQv8nTALgYGB7Nmzh/DwcGJiYvDz86NcuXKGx8357/nqq6/y/fff06ZNmxyrzQozRGMOoqOjc1UUdnZ2JioqSqOIHiy/BFFHCHEL3dyAg/42+vv2Bb2wlHI3ec8rADybx/kSXXtTk/Lby8vyPG5la42DlzNlm1WiQsdaWFmbZ4mDGjWe5IMPlvP66y/h4GDH7dt3+OSTlVSv/qTWoRVZeHg4/fr148iRIwghSEpKYu3atWzevJklS5ZoHV6xKFeuHAEBAUgpyczUfacz93Ibq1at4siRI4bNZJamS5cudOnShWnTpuHv709ERARz5syhS5cuBT+5hD3wX5KU0lpK6SKlfEJKaaO/nXXftiSD1FLFznUo5WxPtX5NqP/as1Tt25hSLvaUf646/k9V5tzGI5xYvkfrMB/ZJ5+M559/TlGjRl/q1RtAjRp9OXDgJJ9+OkHr0Ips5MiRvPDCCyQmJmJrq/sn+/zzz7N161aNIyu66OhounfvjqenJzY2Ntja2hr+mDtPT0/c3Ny0DsNoFi9eTLNmzRg1ahT169dn9OjRNGnShMWLF2sdWi4PnIMwByUxB7F1zApavtsNB897l4S3ryWxe/rPPP9lfxIjE9g9fR0dQoYYLQZjzkFkiY6ON7QcLVu2ZPd4GGsOwtPTk/j4eKysrAzj9ABubm6G/RHmqnPnzjg6OvLmm2/SqlUrdu3axcyZM+nYsSPDhw/XOrwi+b//+z9+/fVX3nzzTXx9fXM89uST5n9lawqKYw5CAVITkrFxyPmtzNrOltTryQA4l3UjPdn8O7GWKeNNmTLeJf6+8fHfEhdnnD7Krq5p/Pzzc5Qv70xGRhIHD3bhwoVEvL0zOXiwZC7nbWzcqFOn+DesZc0/ODk56RpY1anD0qVLad68udkniKz2sL/88kuO40IIi+lLbS5UgiiAX+MK7J39C1VfbISDpzO3ryVx5od/8GusWyp5/XSsaj9aBJmZ969/KD79+1dkwoQwBg+uREaGZPPmKEJC/mPw4EoFP7mY3L1rnCsVa2trbGx0v75ubm7Ex8fj4uJikhOdDytrLkXRnkoQBaj3yjOcWrmfw1/s4Pb1ZBw8nCjbIoiqfXUrcJ1Ku9B8hulNLinQtWs5XF1t+emncHx97dm0KYLRo6vQurXmFVyKrEmTJmzatInu3bvTrl07+vTpg4ODg1mvXlJMj0oQ+ZAZmUTsPEO14CbUHJx3+wt790IVt1VKWEaG5OuvzzBkSJBFJIT7ffvtt4Zv2p9++inz5s0jMTGR8ePHF/BM09S+fXs2b9btvX3qqaceuKQ1q8GOUjJUgsiHsLbi2NK/LKJq64OcPRuOu/sTeHu7k5x8m8WLf8La2oqRI7vj4FDgamaTZW0t+OGHS4wYUaXgk81Q9lU+ptqN7GFk30U8bNgwDSMpGeayEVAliAKUblSBmLAL+DW2zNUTr732MV9+ORlvb3dmz17G+fNR2NnZMmXKFyxY8LrW4RXJCy8E8OOPl+ndO1DrUJQCBAcHG24PGjRIw0iMz5w2AqoEUYDM9Az2z9mER1U/HLycc/xPbDixrYaRFY/IyCtUrKgrF7158z62b1+Ivb0dzZub/7e4EycSWLPmIsuXn8PX14Hsv39ff/1YdMw1S6tWraJu3bpUq1aNM2fOMGLECKytrfnyyy+pWtX8W/2a00ZAlSAK4FLeE5fynlqHYTSlStmSlJTCf/9F4OfnhYeHK3fvZnDnTprWoRVZ9+7l6d5ddcYzN9OmTWPPHt3m00mTJtGoUSOcnZ0ZM2YMO3bs0Di6ojOnjYAqQRSgWj/TrtdeVF27Pk2fPlNJTr7N4MG6DWvHjp0nIMC3gGeavk6dTP8bWlFlZmYSFxeHn5/lTMTHx8fj6+tLamoqu3fvZu3atdja2uLl5aV1aMXi9ddf56WXXjKLjYAqQRRCZnoGiVEJpN26nb0lNT51zP8DaObM4ezceQhbWxuaN68NgJWV4O23zX+ICWDDhnA2bYrkypVUfHzs6djRny5dyhX8RBN348YNxowZY/jwTE5OZsOGDYSFhTF79mytwysSb29vzp07x7Fjx2jUqBF2dnakpKRgzlUfsjOnjYAqQRTg6olo9n+wicz0DO6mpGHjWIq7t9Nx8HKm/ZLBWodXLFq1qk9U1BUOHjxN6dIe1KkTVPCTzMDSpWf59ddI+veviJ+fAzExt1m+/Dzx8akMHWreLVVHjRqFu7s7ly9fpnr16gA0a9aM119/3ewTxPTp02nQoAHW1tasWbMGgO3bt5tVj+38mNNGQJUgCvDvkl1U7tGAoG712Nj3/+i8aiSnVu3H2s78i6IBxMVd55VXPuTw4TO4uT1BQkIi9etXYeHC/1G6tHnPvaxfH87//V9z/PzurRRp1syb4cP3mH2C2L59O9HR0dja2hoWTnh7e3PlypUCnmn6Bg8ezIsvvghgWOXTpEkTVq9erWVYxS48PJyoqCj8/f1NdsLavOsCl4Ck6BtU6lI3x7EqvRpybv1hjSIqXm+99SXVq1fg2LFVHDy4nOPHV1GjxpO8+eaXWodWZLdvZ+DuXirHMVfXUty5Y1qX8Y/C1dWVq1ev5jgWHh5uMXMRjo6OOZaA+vj4ULp0aQ0jKj4xMTG0atWKSpUq0aNHDypWrMjTTz9NdHSuBpqaUwmiALaOpUhP0a3osfdw5Fb4NdKS7nA3NV3jyIrHgQMnmT59KI6Ouk1xjo72vPXWyxw8eErjyIquWTMfpk07zKVLSaSmZnDpUiJvv32Ypk1LvihhcRs2bBg9e/bkjz/+IDMzk7179zJo0CBGjRqldWhKAUaPHk2dOnVISEggJiaGhIQE6tWrZ5L/79QQUwHKNK9E3D+XCGhdhcDna/DX1J8Q1laUbVFyBd+MydXVmf/+i6B69Xt9mi9ciMTFxTmfZ5mHyZNr8uGHxwkO3sndu5nY2Fjx3HNl+N//amodWpG98cYb2Nvb88orr5Cens6QIUMYOXIk48aN0zo0pQC7d+8mJibG0LvDycmJDz/8MEcLUlOhEkQB6gx/2nA7qHt93CuX5u7tNHzrW8b6+tGje9Kv3zT69n2esmV9iIq6wvffb2fSpJe0Dq3InJ1tmTWrHjNn1uXGjTTc3EphZWV6u1UfhRCC8ePHm23tpceZu7s7J0+ezDHpfubMGZPcG6ESRAFuX0vC2s6GUs66IRivGmVIS0wlNSE5RxMhcxUc3I7y5Uvz8887OXXqEr6+HixcOIkWLcxzxUhkZPIDH0tJuWu47e9vfkUWC7tJ7JlnnjFyJMZ18uRJPD098fX1JSkpiY8++ghra2smTZqUY17CXE2ePJnnnnuOoUOHUr58eS5fvkxISAjvvvuu1qHlojrKFWDHhNU0GPccroH3NuncvHSVQw4Y0IcAACAASURBVJ9vp828PkZ97ywl0VFOK8XdLKhRo40IAVJiKK2R9U88e6mNsLDOxfq++WnQYEOxvE6FChVy3I+KikIIgaenJ9euXUNKib+/PxcuXCiW99NK3bp1WbNmDVWqVGHUqFGcOXMGe3t7vLy8+Pbbb7UOr1js2LGDlStXEh0dTZkyZQgODi7RxK46yhWTpOgbOZIDgGugF4mRCRpFVHSffbaGsWN1ye3jj1c88LxJk/qXVEjF5sCBex/8GzaEExZ2lREjKuPn50hMTApff32Wxo3Nc5L64sWLhtvvv/8+165d491338XR0ZGUlBRmzJiBp6d5L00GuHTpElWqVEFKybp16zhx4gQODg65EqQ5e+aZZ8ziSk8liALYuTqQFH0D5zL3xgeTom9Q6gnzLYUdE3PNcDs6+mqe55hiZcmHtXjxGX766Rns7a0BKFfOmalTa9Ojxx907mya684La/78+YZ9EKBbFjpnzhzKlCnDm2++qXF0D+nnn6FbN8NdOzs7EhMTufHGGwQEBODl5cXdu3dJTU3VMMiiee+995g6dSoAM2bMeOB5qty3mSn/XHX2z9lE9QHNcCrtQnLsTU6u2EdgW/PtETFnzhhAt6OzZ882NGxYHTsL2fiXXWamJCYmhQoVnjAci4m5TUaG+Q6rZnFyciIsLIwWLe5VpT1w4IB5jtFPmABPPAHPPgvoSn+vqlKF1teuMXjePAAOHTpk1lcQkZGRhtsREREaRvJwVIIoQJVeDbGyseLYst3cvpqIg9cTBLatQVC3elqHVmRWVlYMHfoep09/r3UoRhEc/CSjRu2lS5cAfH0diIu7zcaNEQQHm1ZBtEfx7rvv0r59ezp37kxAQAARERH88ssvfPHFF1qH9vA2bIAXXoDvv4emTZnv4ECivT1HV6/m1e7dAd2/1fnz52sc6KNbtGiR4XZISIiGkTwcNUltBow5ST1o0DuMG9eH+vW1qbNf3JPU99uz5wrbtkVz9Woqnp72PP98GZo39zHqe96vuCap73fy5El+/PFHoqOj8fPzo1evXoa6TGZn/37o1Ut3FXH8OGzdSkRSElFRUTRt2lTr6IrV8uXLqVu3LrVr1zYcO3r0KP/++y8DBgwokRjUJHUxif83AkcfF5xKu5KakMzxb/5GWFlRY2Azi+hHXbasNwMHzuT555tQpox3jpU+5jhJfb/mzX1KPCGUlOrVq5tvQtD3e8hh+HBYtIgrc+Yw/emn+e+//wizsSEpKYm1a9eyefNmlixZUvKxFrPp06dz5MiRHMcCAgLo0qVLiSWIwjJaghBCLAM6AVeklDX1xzyANUAgcAl4UUqZIHQzoguAjkAKMFhKechYsT2MI4v+pMU7ugm0f5f8BYC1nRWHFu6g+fSSWyppLKmpabRtq/uGFhOT94S1OTtz5iaHD1/n5s20HOWiR40y/85kZq1nzwc+ZDNqFPNsbXHy8MDj9m0Ann/+eV5/3bxb4Ga5desWLi4uOY65urpy48YNjSJ6MGNeQXwDLASWZzs2BdgupZwrhJiiv/8G0AEI0v9pAizS/9Tc7WtJOPo8QWZGJlcOh9N+6WCsbKzZNGip1qEVi08+sdyduD/9dJlPPjlB06be7NlzhebNfdi3L55WrSyj6JtZi4l54ENBnp7Ex8cjrKwQHh6A7gP05s2bJRWdUVWvXp0ff/zRULEWYN26dVSrVk3DqPJmtAQh5f+3d97xVVTZA/+eNEIaJCFAQkmQIiAqzYBUFaRZYBVXUFf9ISKuBXBZAdE1yorIIkVdULAgu0uRXdRQFBBp0nvoEAk9tISQhBBS3v39ceclL+GFUJK8eWG+n08+mblzZ+6Z+2buuXPvueeoVSISVSi5J3Cfsf0tsAKtIHoCM5Tu4q0XkcoiEq6UKvopKiO8/HzIPJ9B6tEkAmuF4FXRB1t2LrZc9/Hpfi2kp2eQnJxaICBSZKR7N6QzZsTz6aetaNYslPvv/5lx4+5hzZrTLFliPq+ZFvl0CQzk2Lx5RPbunZe2Z88eatd2/0BPAB999BE9evRgzpw51K1bl/j4eJYtW8aiRYtcLdoVlPUcRDV7o6+UShQR++BwDcDR9uu4keZyBVH34btZ/sZsbDk27jL8MiXtPUlgzWAXS1YyHDhwlNdf/5g9exIQEZRSeWsgjhz50cXS3Rznz2fRrJleOObhoc1e27atxjvvlA9X7ZAfU6BGjRru24B27gwxMdCuHUyYwDfnzpHepw+bHn+cnJwcZs2axejRoxk+fLirJS0R2rVrx65du5g5cybHjh0jOjqaSZMmmTImhFkmqZ2tynJqXiUiA4ABABXDAp1lKVFu792SiHvrIh5CQLheLOcbGkDz1zqVetllwciRU7j33juZM+cD2rbtz9q1XzFmzLe0bGm+z93rpWpVX06ezCAiwo/atQNYufIUlSv74O3t/l7uExMT6dOnD+vWrctztdG6dWtmz55NRESEq8W7PnbsALul0pQp+K5bx6p167h78GBq1anDjBkzGDVqFL0cFtO5O7Vr13YLhVfWCuK0fehIRMIBe/ir44Cj+qwJOB0HUEpNBaaCNnMtTWHt+FcLInn/KVLiz1CzfYNy4aTPzt69CcycOQpvby+UgqAgf95+ux+dO7/CY4/d72rxbopnn61HQkIaERF+9O9fn2HDtpCdbSsX7r7tMQUWLVqEv78/Fy9e5K233mLgwIHExpaOWW2pkZMDnp6QkABZWWzIyKDLgAEwdCi7d+/Oy7Zx40aio6NdKGjJERsby8qVKzl37lwB44kZM2Zc5ayyp6y7UrHAc8b2c8CPDunPiqY1cMEM8w+gHfMteelfbP30V7Z8sgyAc7tOsGXSLy6WrGSoUMGHnBzt5TQ4OIgTJ85gs9k4fz7NxZLdHEopmjULoVUr7XepbdtqLF/ejeXLu9G7d5RrhSsBfvvtNz7++GP8/bWptT2mwFpn5qNmp3VreOMNGD4cevXiwQcfhMOHwZigttOtWzfXyFfCvPfee7z00kvYbDbmzp1LaGgoixcvNqW771JTECIyC1gH3C4ix0XkBWAM8KCIHAQeNPYBFgGHgHhgGvDn0pLretk+eTmNn25Fl8//hIenrq4qTWqQtKd8THRGRzdm/vzfAHjooTY8+2wMTzwxgjZt7irmTHMjIvTps7JA/Advbw/8/Mwyqnpz2GMKOGLWmALFMn06iKAiI8mNiUEphYqLw/byy9hsNmw2GwcPHsTLq3z8dl9//TVLly5lwoQJ+Pj4MGHCBObPn8/hw4ddLdoVlKYVU98iDl0xeG9YL71SWrLcDKlHk6l1v2Ezb7Q1Xr7e5GblFH2SGzFlSv446LBhz3L77ZGkp1/iiSfM72myOG6/PYijR9OJiir9uaqyxp1iChRLtWowfjyeHh6I4XvJy3CxwVtvAdrVht3ZnbuTkpJCkyZ6mNPHx4fs7Gyio6NZuXKliyW7kvKhkksRv2qBpMSfIbh+tby05AOn8ias3Z3PP5/HwIGPAfoltM87TJ36AwMGuPekYIsWVXjttQ08/LD2xeS4SrxnTze1+DF48cUXqVu3LjNnziQuLo6IiAhmzZrlFi6kARg3DoYO1dujRwOQNHQoKMW0adN4ccAAAFJfeQURISwsjIoVK7pK2hKlbt267N69mzvuuIMmTZowZcoUgoODCQ42n2WkpSCKofHT97L2/VjqdLsTW46N/XM3ceinXTR/1U1exGKYNGl2noJw5JNP5ri9gtixI5mICD+2bk0qkC7i/goC3CemgFMcJp/ZuRMAe/P4ZvfucOwYiBAcWT5C+zry97//naQk/UyOGTOGp556ivT0dFM6WrQURDGER9ehzbs9ObxkN1Wa1CDjTBqt33qI4Hru7d9nzZodAOTm2li7Nq6AJcXRo6cICHDv3ppSinfeuZvq1Svi5eU6s9aKVc6z93i7Er/u9KknaNW2Eo3uCGDHtjSGDNyHl5fw0aQGNGsZVPwFbhJPjxAaRNyEtZTdo6nNBq+9Bi1bgo8PAMnJyYwbN47t27eT3qFDgdNWrVp142WahB49euRtR0dHEx8f70Jpro6lIK6B4HpV3V4hFOavf/0EgMuXsxk6dFJeuv6cD+b9919ylWglgn2SetWq7q6Vw7N0LLFnfHmSx/voYc8JHx7m+Rdr4B/gyZj3Epgzv/TjiefakkvmQh4e0LUrpOVbzT311FNcvnyZP/7xj+4Z36IYQkJCSE6+sv6qVq3KmTNnnJzhOiwF4YQ9/15/TfkaP+O+bojXrtW+pAYPHs/EiW+4WJrSoTxPUqel5RIY5MXF9Bz27cngq1lN8PQUxo5KKP5ks9GmDWzerL8igLVr13L27FkqVKjgYsFKh+zsbKdpubm5LpDm6lgKwgkZ5/J7M7bsXE6sjSe4fjX8wgK5dDaN5IOnqdGmngslLDnKq3KA8j1JXT3Ch22bU4k/kEHLVkF4egrpaTkFzHrdhoYNoVs3HQ+iVi3+ERxM+ltvUSE0NM+KqTzQvn17RITMzEw6FBo6O378OG3atHGRZEVjKQgntBycH6Bn49ifiB7ajRpt8xXCibXxnFhj3nHD4rj//pdZvlxHuIqO/j+KCj+9YYP7RL5yRnmepB46MorBL+3D28eDSV9oM+wVv5znzqZuuMr/zBl48EG4cAEuXODewEDWTZ1KndtuY0P1gg4j+/Xr5yIhb57+/fujlGLTpk288MILeekiQrVq1UxpcGBFlCuG2Cc/55GZAxDP/IlOlWtj/lNTeXTOwFIt205JR5TbuHE30dE6pva6dTuLzHfvvXeWaLnOKO2Icq7Gr1oJjdVfA9nZ2sNwWfiaenWqFxcySudrZf93252mC9Dgj01LpczChAQEsyRmXqlce9++fTRs6Np4JFZEuRIiILwSvy+Mo96j+Q/moUU78a9eyYVS3Rx25QBlowRcSWpqFqtWnebs2UzCwnzp0KEaQUE+rhbrpjl2JLPIY7UifUu9/NJSDgC3l5ESuBrJ6edL7doNGzbk66+/ZtasWZw8eZKIiAj69OlDv3798jwpmwVLQRRD89c6sX70Qg7M20LF0AAuJaXj4elBqxEPuVq0EiErK5u5c5exe/chMjIKNjruPj8RF5fM4MEbiYoKoHr1iqxefZrx43czcWI0d90VUvwFTEy39lsQIS9+h2O7sutIW9cIVYLkXMrmQkIS2RezqH5PbbLSL4NS+ASWvvIrbd58801+/PFHBg8eTGRkJEePHmXcuHHs37+fsWPHulq8AlgKohgq161Kly+eJXn/KTKTL+Ib7E9Iw+p4eHm6WrQSYciQiezdm0DnztGEhZlvJefN8PHHuxk27E66dq2Rl7ZkyQnGjdvFjBkdrnKm+dl9tKASOHsmi8kTjtEiuvTXQJQ2acdS+D12F/7VA0k/kUr1e2pz+fwlTm8+Rr0/uP8X7/Tp09m6dSs1a9bMS3vooYdo3ry5pSDcEQ8vT6rcUaP4jG7IypVbWLPmSypVcsPJzWI4evQiDz5YMDZCp04RfPhh0fMu7kpYVR9GxNShe8etPPyHMFeLc10EZmaT5uudt39seTy3PXwHEdUC+O3LDQD4hwdy8VSqq0QsUQIDAwkMDLwirXCcajPg/pFTLG6KiIgwsrKutMsuD9Sq5c+SJScKpP3yy0lq1ix/i68AEg5dIvOS+Wzpi2P+tILrjrJSMwmKDObHrzbkOcgUTw+UzX0NahwZPHgwjz32GEuXLmXv3r0sWbKEJ554giFDhnDo0KG8PzNwy3xBjBr2X+dx6xx4Z0zvq2cohzz++AO88MIH9Ov3CGFhBR0Qtm1b+ityS5O//OUOhgzZyOzZCYSH+3HyZAbHjl1kwgT3DzrzzGM7C8w7ZF7KJf7AJV4ebL6wlcUhhdp931A/suLPFQgpmXbkPBWr+JepXKXFoEGDAFi+fHmB9GXLlvH6668D2vTVDAvnbhkFsazLHcVnugX59tsFAIwdWzCSlYiwZs2XrhCpxLj77hB++OEBfvvtDGfPZtK+fTXatq1KpUrub8XUu2+1AvsV/Ty4vbE/UXXcx4fWvK82oAQq5OTyv6835KWrHBuVf9zF4kq+2C5mcWTpfi78nkTdXu4fCRDAZrO5WoRr5pZRECs6XT3Gcs2jSUUey0rPJHFjAplJ6fiGBhB+T51yYU0B+S43yitBQT706FGz+IxuRq8n3N832NhO9RGl+Efsbv7xQP28dAWcBtafSadKaiY+gRVo+HTzcvPOuRO3jIJwRkDqJdqvOsB9y/YSefgcfb5/9Yo8SfsSWfteLIE1g/GrGkTipsPETVtFm3cfJbRhuAuktrhWTpzIYPLkfRw4cIGMjIIBnhYuLNnFh2VN1mUbkyceY1HsWVLO57BxT2vWrDzP4YRMnn7ePZ7L9VHa1LjHgHtJreh9xfHqUe5tilwUOTk5TJ482WlMarN5q73lFIRHro2WGxO479e9NN98GA+b4sfHmvPhO484zR83bRVNX76fWh0a5KUdX32AHV+spLRXcZcFaWkZjB8/kw0bdpGcnFrgYXV3Vxtvv72VmjX9GDy4Mb6+5cMs2c6Y9xI4fSqLsZ804KVndejReg38GPN+gtsoCDvpFbx4fsMReuw5TdX0y5wAvqtckU9D/cgttHCsTverjwS4A0OGDOHXX39lwIABjBw5kg8++IApU6bQp4/52pNbRkHUPXia+37dS7uVBwBY17Ye74/6A2989BPzezYjtbJzy5b0EynUbFe/QFqNNvXY9s/lTvO7GyNHTiEx8RyDBvVh0KDxTJr0Bl98MY/u3c3nOOx6OXQoja++auueDuyK4ZfFSfy8ugV+fp55q2+rhVfgzKksF0t2/by6+hAtjqfwWfvbSAzypcLGo7x2IoUqnh6MigohOyOLlANnCWnk/sNqAPPmzWPdunXUrl2bd999l0GDBtG1a1deeuklYmJiXC1eAW4ZBTHmL3NIC/TlqwEdWdu+Pja7b6Vi2o6AiMocX3WAWvfdnpd2fE08/uHu62rDkVWrtrF8+WSCg4Pw9PSga9fW3HVXffr1e58XX3TviHLNmoWwf/8FGjUqH+FhHfH29iA3p6D5T3JSNpUrXzlUY3a67D/DM8+0IMXPMB54uDHDM7L4978281WbKACqNKlO4rojrhOyBMnIyKBWLW1tVrFiRTIyMmjYsCHbtm1zsWRXcssoiLl9oumwYj8vf7aMezYeYvV9t7O1RRSqGN8nd73YgbXvxxK/YDt+YUFknEkl/WQKbf72aBlJXrrYbDYCA7X5oJ+fLxcupFOtWjCHDye6WLIb4/PP9+Vth4f78eqr63nggXBCQwvGFhg40LXO0m6Wrg+FMmLIQYa/WweAs6ez+DDmEN0freJiya4fT5sit9BXXq4IjrGW/KoGkHY8pYwlKx0aNWrEpk2biI6OpmXLlsTExBAUFESNGuZbjHvLKIjvnmrNd0+1pvGuE3T8dS+vf7yEXE8PfDOziTySxM4ihphCG4XTddpznNp0mMzki4RH16F6y6hyY1HRuHEd1q/fRbt2dxMdfQdvv/05/v6+1Kljvof1Wjh9uqA/qQ4dqpOTo65Id3cGD4vk49GH6fngNjIv2ejWYQtP9K3Gn91wHcTyelUY9+MuvmhTh1NBFQg6eI5X95xicfVAUo+ex5ady/n9Z6gYWj4WOE6aNAlPTz0nNn78eF5++WXS0tKYOtV8no1vWXffPpdzaLUunvt+3UeTuOMk3BbG8PFPlrCEJUNJu/t25MiRUyiliIoKJynpAh9++C0XL15iyJC+NGhQ+jETXOHu22ZTZTYvURbuvpOTsgkO8SpTT6B/mlhyQ1k+ObkMXHOYrvtOE3oxi0Rgrrcn71XwIlMED28P/KoGENG2DhUqld06j83jysc8ozMsd9/FkFXBi9X3NeRoZBUeit1Ou1UHChxf9db/in3h2n/wWGmKWCZERuYHZAkNrcS4ca+7UJrSJT4+lYULj/PTT8f5+ecurhanxAgJ1Y31/r0XmTLpGBM/d4/hs657T7O4UTWyvDz5pGNdPulYt8Dx+kWc566sWbOG2NhYPvrooyuODR8+nF69etG6tbnCGN+SCiLoQgbtV+avf9jbOIJPhxTspde+z/lLdikpnd/n7yD3co7T4+5CXFw8Pj7eNGwYCUBS0gViYqaxf/8RWrRoyNtv98Pf331W5RbF+fOX+fnnEyxYcIyDB1Np2jSEoUPdd0XupUu5TPvsOPv2XCQyqiKvvFGL88k5jB2VwNrVKfTq7T6WPiN+OcDiRvkrwm3ZuSSuP8KlcxfxqxZA9ehIPLzKj7u40aNH8+c//9npsY4dO/LBBx8wf/78Mpbq6twyCsIzJ5d7NiRw/7I93L3tKKfCK/Fbh9sJO5PKx8O6X2HmGlXINcfl1EscmLuZhCW7qdm+Pg37uLc/n5iYaQwZ0jdPQfz1r59y+nQSTz3VjdjYlXzwwTeMHu38YTY7OTk2Vq48xYIFx1m37gy1avnTtWsNTp26xJgxLQkJqVD8RUzKqJGH2Lv7Iu06Vmb18vMc2H+RhPhL9OxdlffH1iM4xH2smAr7YDq67CAXT6dRKSqE8wfOknMph9qdXPMdUaHzOdqtKNmOxKaN+0l54zAfrhh2xTHlo9i07kCJl3mzmEpBiEg3YBLgCXyplBpTUtf+6k9fokRY3qkRs59qTUI93dPqtijuqudlZ1zmwLytHFoQR/V7onhgYh8Cwt3fbDI+/lheZLkLF9JZsWILv/zyGbfdVoMuXaLp1etNRo92sZA3SJcuSxCBRx6pxUsvtaNhQ/17zZ172LWClQBrVp5n3uKmhFbx4en/C6dTq818O7cJLVu5n9m1p1K0OHo+z9I8+PdzRHVugGdFb3KqBnBsRTxJLlIQ4lvyc7M5F23YchSenlcOXdtyFLkZ5vPRZBoFISKewD+BB4HjwCYRiVVK7SmJ6x+JqkKjPSepf+A0iRGVqRt/mse/20zl8xn8Y/Bs/vV8W35zWOuQezmH+NhtHPx+G1XurEHHj3oTFBlaEqKYgtxcGz4++uffunU/YWGVue02bbkUERFGaupFV4p3U9SrF8SOHcns2pVCrVr+RET4lYswowAZGTZCq+h7qR5eAT9/T7dUDgDeuTbeWbI/70vCOzOHkIV78FSQK5CkoHzEbdT41fYhZVM6oe2ujPuQsikdv9rme0ZNoyCAaCBeKXUIQERmAz2BElEQ7374OGFnUun46z6e/M96Kl+4lNdzqZKUzsufLQPIUxI/95+Ostlo8HgLKterSmZKBpkpGQWuWfVu9zMptNOgQW0WLPiNRx5pT2zsKtq1y48DnJiYRGCg+5oUTp3ahsTEDBYuPM6//32IceN207p1GJmZueTkmK+Xdj3k5ig2rE3B0fiw8H7rtu7xhXvJ25Ne/fWkbNe9p3lr0V68jPvwUhAAdFz9O/Mj830yBdV236iHEb1D+X18ItggpF0g4iEomyL5tzR+n5RInT9XL/4iZYyZFEQN4JjD/nGgVUkWcLZqEP/tE02nJbuvWEDtezmHp2eszVMQnj6egBeHFhURfUyg25fPl6R4ZcqIEc/Rr98oRoyYjKenB/Pm5VtWzJ+/mpYt3dvnTXi4H/37N6B//wZs357EwoXHEYG+fVfy6KO1GTSosatFvCFCqnjz9tD4vP3KwV4F9kVgyZpirRdNx6urD1E42oM/8PqmY3y276xOELizv7msfK6HsM6VyUrO4cCYE6hshVclT3Iu5OLhI9R6PoywTub7EjTNOggReQLoqpTqb+z/CYhWSr1WKN8AYICx2wTYdb1l5UILZ7YRNsATtlzv9a6TKsC5Ui7jWvEAfIFM9O3bqWDsZ2Muea+VomQWIBgIBQ6WqURXpzzV8TWTDs0CYBuUyTtppjr2QH8geQE5QDoF3z87pSlzpFKq2Ni0ZvqCOA44jtnUBE4WzqSUmgpMBRCRzdey2OMKRA4DkYWTPeDIDV3vuoq+QZldhLvJC+4ns7vJCyUnc173tJTfyVu5jm8GMxkZbwLqi0gdEfEB+gCxpVTWW0BGobQMI93CwqLssd5JE2IaBaGUygFeBRYDe4HvlFK7S6mwmcCLwBF0J+YI8KKRbmFhUdZY76QpMdMQE0qpRcCi6zjlxh356AfPFQ+f+TxyXR13kxfcT2Z3kxdKQ+bSfSetOr4BTDNJbWFhYWFhLkwzxGRhYWFhYS7cVkGISDcR2S8i8SIy3NXyFEZEaonIchHZKyK7RWSQkR4iIktF5KDx31Qrf0TEU0S2icgCY7+OiGww5J1jGBCYBhGpLCL/FZF9Rl3fa+Y6FpEhxvOwS0RmiYiv2epYRL4WkTMissshzWmdiuYT4z2ME5HmJpL5H8ZzESci34tIZYdjIwyZ94tIVzPI63BsqIgoEali7Lusjt1SQTi45egONAb6iojZVj7lAH9RSjUCWgOvGDIOB5YppeoDy4x9MzEIbSRg5yNggiHveeAFl0hVNJOAn5VSDYG70bKbso5FpAbwOtBSKdUE7XOsD+ar4+lAt0JpRdVpd7Rn7vro9UlTykjGwkznSpmXAk2UUncBB4ARAMZ72Ae4wzhnstGmlCXTuVJeRKQW2t3QUYdkl9WxWyoIHNxyKKWyALtbDtOglEpUSm01ttPQDVcNtJzfGtm+BUwT+FlEaqLd33xp7AvwAPBfI4vZ5A0COgBfASilspRSKZi4jtGGIRVFxAvwAxIxWR0rpVYBhSMdFVWnPYEZSrMeqCwi4WUjaT7OZFZKLTGsIwHWo9dWgZZ5tlLqslIqAYhHtyllRhF1DDABeBOHJSK4sI7dVUE4c8th2hiZIhIFNAM2ANWUUomglQhgJgf+E9EPp31VZyiQ4vCSma2ebwPOAt8Yw2Jfiog/Jq1jpdQJYBy6d5gIXECvEjZzHdspqk7d5V3sB/xkbJtSZhF5FDihlNpR6JDL5HVXBeEs1Jspr+wv6AAACvJJREFUzbFEJAD4HzBYKZXqanmKQkQeBs4opRzdGpi9nr2A5sAUpVQz4CImGU5yhjFu3xOoA0Sg3Q11d5LVTHVcHGZ/RhCRkegh3//Yk5xkc6nMIuIHjAT+5uywk7QykdddFcQ1ueVwNSLijVYO/1FKzTOST9s/D43/Z1wlXyHaAo+KdnkwGz3sMRH9OWtfL2O2ej4OHFdKbTD2/4tWGGat485AglLqrFIqG5gHtMHcdWynqDo19bsoIs8BDwNPq3ybfjPKXBfdcdhhvIM1ga0iUh0XyuuuCqIs3XLcEMb4/VfAXqXUeIdDscBzxvZzwI9lLZszlFIjlFI1lVJR6Pr8VSn1NLAc6G1kM428AEqpU8AxEbEH8uiEdg9vyjpGDy21FhE/4/mwy2vaOnagqDqNBZ41LG1aAxfsQ1GuRnQAsmHAo0opRzcesUAfEakgInXQk78bXSGjHaXUTqVUVaVUlPEOHgeaG8+46+pYKeWWf0APtGXC78BIV8vjRL526M/AOGC78dcDPa6/DO1NdBkQ4mpZnch+H7DA2L4N/fLEA3OBCq6Wr5CsTYHNRj3/QL63VlPWMfAesA/thfhfaM+5pqpjYBZ6jiQb3VC9UFSdooc//mm8hzvRFlpmkTkePXZvf/8+d8g/0pB5P9DdDPIWOn4YqOLqOrZWUltYWFhYOMVdh5gsLCwsLEoZS0FYWFhYWDjFUhAWFhYWFk6xFISFhYWFhVMsBWFhYWFh4RRLQZgcw6vjxw77Q0UkxtiOEZETIrLd8A76qIjcJyLrCl3DS0TyFjqVgcxNRaTHDZy3QkSuGoPXuL8FNy5d+aAYT6V3icg60V5jd4qIrytlLYyIhEu+t+DnReSzQsfzngMR6WfcQ5zxjPc00qeLSIKI7BCRAyIyw3CGeKMyhYnIzzdzX+URS0GYn8vAY3bXv06YoJRqCjwBfA2sAmoa/p/sdAZ2qTJYXGOsCG6KXvNhUUI48TZalKdSL+DfwECl1B3oNS3ZZSTjtUaofAOYdg3Xq4ler9DOuM/W6PUudv6qlLobuB3YBiyXG3SVrpQ6CySKSNsbOb+8YikI85ODDj045GqZlFJ7jbxV0IutnnQ43Ae9MKcAIvKI6DgE20TkFxGpJiIeInK4UI803jgWJiL/E5FNxl9b43iMiEwVkSXADOB94Enjy+ZJEfEX7f9+k1GWvRdYUURmG73DOUBFZ/cmOvbHPhH5DXjMIT1aRNYa11xrX1Ft9Ep/EJH5Ri/zVRF5w8i3XkRCjHwvGjLtMO7Lz0iva+TbJCLvi0i6Q5l/NdLjROS9IuTta/R6d4nIR0bayyIy1iHP8yLyqbH9jIhsNOrrC7syEJF0o/wNwL2Ffu+iPJV2AeKU4fBNKZWklMotJF8nEfneYf9BEZlnbHcxvj62ishc0b7EEJG/Gfe9y/itxUhfISKjRWQlMEhEnjDy7BCRVc7qB3gcuJbeelUgDUg37iVdae+rBVCaCcApnPi2Mp7n0cZ9bRaR5iKyWER+F5GBDll/AJ6+BrluHVyx6tH6u/Y/9MsRhF5ZWQkYCsQYx2KAocZ2K7R/FgHuAbYZ6RXQfnOCnVw7mPyws/2Bj43tScD/OVz3F2N7Jro3B1Ab7UbELscWoKKx/zzwmUM5o4FnjO3K6B6vP7on+bWRfhdawbUsJKMvejVsfePeviN/lXcQ4GVsdwb+51B+PBAIhKG9pg40jk1AO04ECHUo5+/Aa8b2AqCvsT0QSDe2u6CVtaA7VwuADoXkjUC71AhDOxP8Fe0aOwztot6e7yf0avtGwHzA20ifDDxrbCvgj9fwjMx3qN/B6BXai4GtwJtO8gt6NXeYw+/6CLpzsQrwN9KHAX8ztkMczv8X8IixvQKY7HBsJ1DD/ls7KbsOsMVhv8Cz4nDNluh4GYuN+vzGXqaRZzrQu9B5E4FhTso8DLzs8PvHOTwbZxzy1QB2uvqdN9PftX4SWrgQpVSqiMxAB5u5VOjwEBF5Bt3TelLpJ32TiAQYPepGwHql1Hknl64JzBE9N+ED2Htnc9BeJb9Bf33MMdI7A42NziNAkIgEGtuxSqnCstnpgnYEONTY90UrmA7AJ8Y9xolInJNzG6Id3B0EEJF/o4OmgFaY34pIfXRj6u1w3nKl43CkicgFdCMKugG7y9huIiJ/RyutAHRjBLq3bo93MBPtott+H13QwxkY59RHN6p27gFWKD1kgYj8B61EfhCRQ6J96RxED4usAV4BWqB/M9BfUXZHeLloZ49FIld6KvVCK557gAxgmYhsUUots5+jlFIi8i/gGRH5xrjfZ9EBbBoDawxZfAD7fNb9IvImOoZFCLCb/Dq1Px8Y9zRdRL5DOyMsTDjaRXueOEXcmlJK5Yr2p3QP2m/VBBFpoZSKKao6ikiHfF9tO4EAh2cjU0QqKx1H5AxawVsYWArCfZiI7hF+Uyh9glJqnJP8s9GNeyOcDC8ZfAqMV0rFish96C8B0I1CPREJQzeUfzfSPYB7CysCozG5eBXZBXhcKbXfyXnX4uulqDyj0IrgD6LnXFY4HLvssG1z2LeR/9xPB3oppXaIyPPo8fqrIcCHSqkvislTFHOAP6J7798bDbUA3yqlRjjJn6kKDQ8VKCjfU2kno2MA2q/PSqXUOSPPIrSH22WFTv8G3cBnAnOVUjmGLEuVUn0LleOL/rJpqZQ6JtpIwnHiO++3V0oNFJFW6MBT20WkqVIqySHvpULnJqG/ZB0JAc4Z11NoP1UbRWSpIXdMEVXSzMl92nH8/Qs/G/bnwZcrO2C3NNYchJuglEpGD69cazjKWcAzaLfdRXm6rQScMLbtnjrtL+X3wHj0MJL9BV8CvGrPJyJNi7huGvoT3s5i4DWHcetmRvoqjDFfEWlCfs/ekX1AHRGpa+w7Nl6O8j9fhCxXIxA9MelNwbHn9ehxctBK1vE++jmMy9cQkcLBiDYAHUWkijGX0BdYaRybh1a4fcnvdS8DetuvIzr2c2RxgkvRnkoXA3eJ9hjrBXREe4wtgFLqJHpI8m20orTfd1sRqWeU4SciDchv0M8Z996bIhCRukqpDUqpv6Eb+VqFshwAohz2NxllVjfOb4keFj0mIhFSMP5yU+CIkzJFRF5Hf53cjCVSA7QTRQsDS0G4Fx+jx4mLRSm1Bz3E8KtSqqjefQwwV0RWY/TYHJiDVjCOwwevAy1FT9DuQY/PO2M5eihqu4g8ie7pewNxooO0jzLyTQECjKGlN3HiclkplYkeUlooepLasYEYC3woImvQ49XXyzvoBn0pWhHZGQy8ISIb0Y3OBUOWJeghp3UishMdf8JREaK0pdgIow52AFuVUj8ax86jG+tIpdRGI20PupFeYtTDUqPM4vjMKHupUc+fO5QxHt3wbjfKX1jENf4DHDNkwBgWex6YZciyHmhoDL9MQw/P/GBcuyj+IcYEPboDUCA6mvEs/m5XQkqp0+g46ItEZDv6S7mvUsqGfmbGiTZQ2I42vBhUqKwdaKVzD3C/0iGIb5T7gaLq6pbE8uZqYVEI0dZMl4whoD7oBstUMc9LAtHrD7Yppb4q43L/ALRQSr1dluUWh2F11bOI+bpbEmsOwsLiSloAnxlDYinoeMblChHZgp47+EtZl62U+l5EQsu63KthzLeNt5RDQawvCAsLCwsLp1hzEBYWFhYWTrEUhIWFhYWFUywFYWFhYWHhFEtBWFhYWFg4xVIQFhYWFhZOsRSEhYWFhYVT/h9yLSPk1tpPgAAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "cb_acel = CostBenefit()\n", + "cb_acel.calc(haz_2015, ent_2015, haz_2040, ent_2040) # compute\n", + "cb_acel.plot_cost_benefit() # plot benefit/cost ratio per measure\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "All the options avert a similar quantity of damage and result profitable (benefit/cost ratio is greater than 1 in all the cases). However, the most profitable is almost 45 times more cost-effective than the least. That's the `No descargas en Lluvia` measure.\n", + "\n", + "\n", + "We can also represent the total amount of damage expected from 2015 to 2040, and the total quantity that can be averted using adaptation measures. From 2015 until 2040, if the exposure and the hazard remain the same as today, and considering the dicount rates of `ent_2015.disc_rates`, a total amount of 73 millions USD would be damaged. If we consider the moderate socio-economic growth and extreme climate change described previously, there would be an expected total loss of 111 millions USD. 22 m USD of these would be caused by the economic growth and 15 m by climate change." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2019-04-04 20:22:14,245 - climada.engine.cost_benefit - INFO - Current total risk at 2040: 7.312e+07\n", + "2019-04-04 20:22:14,246 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:14,251 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:14,266 - climada.engine.cost_benefit - INFO - Total risk with development at 2040: 9.556e+07\n", + "2019-04-04 20:22:14,267 - climada.engine.cost_benefit - INFO - Total risk with development and climate change at 2040: 1.107e+08\n" + ] + }, + { + "data": { + "text/plain": [ + "(
,\n", + " )" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "cb_acel.plot_waterfall_accumulated(haz_2015, ent_2015, haz_2040, ent_2040)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The accumulated damages are obtained by adding the expected annual damages (or the selected risk function) from 2015 to 2040 (included). In the case of climate change and economic development, the expected annual damage by 2040 has increased with respect to the one of 2015. Assuming that the growth in annual expected damage happens linearly from 2015 to 2040, we obtain a total damage of 111 m USD by 2040. However, if the growth follows a sublinear or superlinear curve, the total amount of loss changes (take into account that the discounting is computed as well)." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Importing Jupyter notebook from functions_ss.ipynb\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# show difference between sublinear, linear and superlinear expected annual damage growth\n", + "import nbimporter\n", + "import functions_ss\n", + "functions_ss.non_linear_growth(cb_acel)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2019-04-04 20:22:14,884 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:14,886 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:14,905 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:14,907 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:15,011 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:15,013 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:15,028 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:15,030 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:15,120 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:15,122 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:15,134 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:15,135 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:15,228 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:15,230 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:15,242 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:15,244 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:15,341 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:15,344 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:15,371 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:15,374 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:15,566 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:15,571 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:15,598 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:15,602 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:15,723 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:15,725 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:15,743 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:15,747 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:15,770 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:15,772 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:15,890 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:15,892 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:15,908 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:15,910 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:16,008 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:16,010 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:16,026 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:16,028 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:16,126 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:16,128 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:16,141 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:16,143 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:16,234 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:16,236 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:16,249 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:16,251 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:16,336 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:16,338 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:16,352 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:16,353 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:16,438 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:16,440 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:16,453 - climada.engine.cost_benefit - INFO - Computing cost benefit from years 2015 to 2040.\n", + "\n", + "Measure Cost (USD m) Benefit (USD m) Benefit/Cost\n", + "---------------------------- -------------- ----------------- --------------\n", + "Sanitarios de descarga Dual 0.093099 26.5748 285.446\n", + "Ahorradores en Agua en casas 0.139648 27.2963 195.465\n", + "No descargas en Lluvia 0.041894 28.3692 677.166\n", + "Reuso de agua de enjuage 0.307388 26.5748 86.4535\n", + "Puentes sin basura 0.378912 27.2963 72.0386\n", + "Captacion de agua de techos 1.80857 27.2963 15.0927\n", + "\n", + "-------------------- --------- -------\n", + "Total climate risk: 124.331 (USD m)\n", + "Average annual risk: 7.57843 (USD m)\n", + "Residual damage: -39.0766 (USD m)\n", + "-------------------- --------- -------\n", + "2019-04-04 20:22:16,461 - climada.engine.cost_benefit - INFO - Current total risk at 2040: 7.312e+07\n", + "2019-04-04 20:22:16,462 - climada.engine.impact - INFO - Exposures matching centroids found in centr_FL\n", + "2019-04-04 20:22:16,464 - climada.engine.impact - INFO - Calculating damage for 12472 assets (>0) and 6 events.\n", + "2019-04-04 20:22:16,475 - climada.engine.cost_benefit - INFO - Total risk with development at 2040: 1.037e+08\n", + "2019-04-04 20:22:16,476 - climada.engine.cost_benefit - INFO - Total risk with development and climate change at 2040: 1.243e+08\n" + ] + }, + { + "data": { + "text/plain": [ + "(
,\n", + " )" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# change growth\n", + "growth_fact = 0.5 # < 1: sublinear, >1: superlinear\n", + "cb_acel_sub = CostBenefit()\n", + "cb_acel_sub.calc(haz_2015, ent_2015, haz_2040, ent_2040, imp_time_depen=growth_fact)\n", + "cb_acel_sub.plot_waterfall_accumulated(haz_2015, ent_2015, haz_2040, ent_2040, imp_time_depen=growth_fact)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "Whilst the implementation of all the measures could avert the total expected damage, this doesn't mean that they could avert the damages of events with high return period. Following the same color code as in the previous cost-benefit figure, the following figure shows the averted damage per return period of floods. Most of those damages are not averted:" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(
,\n", + " )" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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