Skip to content

An automated subcatchment generator for SWMM5 model

License

Notifications You must be signed in to change notification settings

iut-ibk/GisToSWMM5

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

44 Commits
 
 
 
 
 
 
 
 

Repository files navigation

GisToSWMM5

GisToSWMM5 is an automated subcatchment generator tool for SWMM5 model. ExtractDataSets is a utility tool to extract and collate time series data from (several) SWMM5 report file(s) into a single .csv file.

A demo case and scripts for running the tool on linux(/Mac) and Windows are provided.

An updated version of the tool will be published once an accepted manuscript describing it is published in the Journal of Hydrologic Engineering in early 2019. The updated version was also used for the UDM conference proceedings paper Niemi et al. (2019) (see below).

Please refer to the following publication when using the tool:

Warsta, L., Niemi, T.J., Taka, M., Krebs, G., Haahti, K., Koivusalo, H., Kokkonen, T., 2017. Development and application of an automated subcatchment generator for SWMM using open data. Urban Water J. 14, 954–963. https://doi.org/10.1080/1573062X.2017.1325496

Other studies involving GisToSWMM5 include:

Aarnio, K., 2016. Pintamittauksen hyödyntämismahdollisuudet viemäriverkosto-mallin kalibroinnissa (Utilizing possibilities of level measurement in the calibration of a sewerage model). Master’s Thesis. Aalto University, Espoo, Finland. 94 p. http://urn.fi/URN:NBN:fi:aalto-201612085848 (In Finnish)

Bangura, E.K., Yang, X., Zaman, M.N., 2018. Application and assessment of an automated subcatchment generator for SWMM (Study project Report). Technische Universität Dresden: Institute of Urban Water Management, Dresden, Germany. 43 p.

Niemi, T.J., Krebs, G. & Kokkonen, T., 2019, Automated Approach for Rainfall-Runoff Model Generation. in G Mannina (ed.), New Trends in Urban Drainage Modelling: UDM 2018. Green Energy and Technology, International Conference on Urban Drainage Modelling, Palermo, Italy, 23-26.9.2018. https://doi.org/10.1007/978-3-319-99867-1_103

Niemi, T.J., Warsta, L., Taka, M., Hickman, B., Pulkkinen, S., Krebs, G., Moisseev, D.N., Koivusalo, H., Kokkonen, T., 2017. Applicability of open rainfall data to event-scale urban rainfall-runoff modelling. J. Hydrol. 547, 143–155. https://doi.org/10.1016/j.jhydrol.2017.01.056

Rautiainen, M., 2016. Hulevesimallinnus ja tulvariskin arviointi Turun sataman valuma-alueella (Storm water modelling and flood risk assessment in Turku harbor catchment). Master’s Thesis. Aalto University, Espoo, Finland. 51 p. http://urn.fi/URN:NBN:fi:aalto-201611025308 (In Finnish)

Taka, M., Kokkonen, T., Kuoppamäki, K., Niemi, T., Sillanpää, N., Valtanen, M., Warsta, L., Setälä, H., 2017. Spatio-temporal patterns of major ions in urban stormwater under cold climate. Hydrol. Process. 31, 1564–1577. https://doi.org/10.1002/hyp.11126

About

An automated subcatchment generator for SWMM5 model

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Languages

  • C++ 94.8%
  • Shell 1.4%
  • TeX 1.3%
  • Batchfile 1.1%
  • Other 1.4%