From b4d4f44b704bcdd0839ef1e669bf7a0f08cc6a0d Mon Sep 17 00:00:00 2001 From: Daniel03 <59920007+WEgeophysics@users.noreply.github.com> Date: Thu, 15 Sep 2022 17:20:33 +0800 Subject: [PATCH 1/2] Update README.md --- README.md | 17 +++++++++++++---- 1 file changed, 13 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index d5f713a..d13008d 100644 --- a/README.md +++ b/README.md @@ -3,12 +3,21 @@ ### _A light package for fast detecting the geo-electrical features_ ## Problematic -`kalfeat`(stands for [Kouadio et al.](https://doi.org/10.1029/2021wr031623) features detection) is designed for predicting the groundwater flow rate from the geology and DC resistivity data. In developing countries, during the campaigns for drinking water supply (CDWS), the DC-resistivity method is mostly used especially the electrical resistivity profiling (ERP) for detecting the conductive zone and the vertical Electrical sounding (VES) to speculate about the existence of the fracture before proposing a drilling point. However, despite both methods, the accurate drilling point after ERP and VES was not always the best and faced some difficulties. To fight against choice, some geological companies try to propose a least three points the maximize their chance to get least the flow rate required (FRR) by the project dependent on the number of living population in the survey area. This trick has two shortcomings. First, one unsuccessful borehole coast at least 22 US, which is an expensive loss especially when the CDWS covers at least 2000 villages. Secondly, if all three proposed points do not give the FRR, the local companies must take the whole fees charges to make a new survey. This occasionally creates a loss of investments from partners and governments. The last problem is the presence of unsustainable boreholes after the drilling operations. Indeed, unsustainable boreholes are boreholes that dried up after a few years of use. This is a critial issue when using the traditional criteria (criteria mostly used by geophysicists to speculate about the goodness of the proposed drilling point) for determining the expected drilling points using ERP and VES. +`kalfeat`(stands for [Kouadio et al.](https://doi.org/10.1029/2021wr031623) features detection) is designed for predicting the groundwater flow rate (FR) from the geology and DC resistivity data. In developing countries, during the campaigns for drinking water supply (CDWS), the DC-resistivity method is mostly used especially +the electrical resistivity profiling (ERP) for detecting the conductive zone and the vertical electrical sounding (VES) to speculate about the existence of the fracture zone before proposing a drilling point. However, despite the use of both methods, the accurate drilling point after ERP and VES was not always the best and faced some difficulties. To workaround this problem, some geological companies try to propose a least three points the maximize their chance to get least the required FR (RFR) by the project depending on the number of living population in the survey area. This trick has three shortcomings: + +* first, one unsuccessful borehole costs at around 25 245 $US and 8 415$US per survey, which is an expensive loss especially when the CDWS covers at least 2000 + villages. +* second, if all three proposed points fail to give the RFR, the local companies must take the + whole fees in charge to make a new survey. This occasionally creates a loss of investments from partners and governments. +* the last issue is the numerous of unsustainable boreholes obtained after a few year of use by the population. Indeed, the borehole becomes unsustainable when it dried up after a few years of use. This is a critial issue frequently occurs when the FR is sufficiently not enough to satisfy the living population demand. Although, the climate change is one of the cause of that issue, the other factor is caused by the use of the traditional criteria (criteria mostly used by geophysicists to speculate about the goodness of the proposed drilling point) for determining the expected drilling points using ERP and VES. ## Purpose -Faced with the evidence problems enumerated above, `kalfeat` is designed to bring a piece solution in the detection of the geo-electrical features which are known as the foremost criteria to select the right location before any drilling locations. The aim of `kalfeat` is twofold: -1. to minimize the rate of unsuccessful drillings after the geological survey during CDWS and save money from geophysical and drilling companies. -2. maximize the number of boreholes intended for the populations and encourage the partners to indirectly solve the problem of water scarcity +Faced with the problems enumerated above, `kalfeat` is designed to bring a piece solution in the detection of the geo-electrical features which are known as +the foremost criteria to select the right location before any drilling locations. The aim of `kalfeat` is twofold: + +1. minimize the rate of unsuccessful drillings after the geological survey during CDWS and save money from geophysical and drilling companies. +2. maximize the number of boreholes intended for the populations and also encourage the partners to indirectly solve the problem of water scarcity. ## Licence From 5d25aa489302a8f421773aea929902bb314ed676 Mon Sep 17 00:00:00 2001 From: Daniel03 <59920007+WEgeophysics@users.noreply.github.com> Date: Thu, 15 Sep 2022 17:27:17 +0800 Subject: [PATCH 2/2] Update README.md --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index d13008d..5c2ac0c 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,7 @@ # kalfeat ### _A light package for fast detecting the geo-electrical features_ +[![Requirements Status](https://requires.io/github/WEgeophysics/kalfeat/requirements.svg?branch=develop)](https://requires.io/github/WEgeophysics/kalfeat/requirements/?branch=develop) ![GitHub](https://img.shields.io/github/license/WEgeophysics/kalfeat?color=red&logo=GNU&style=flat-square) ![GitHub release (latest by date)](https://img.shields.io/github/v/release/WEgeophysics/kalfeat?style=flat-square) ![GitHub repo size](https://img.shields.io/github/repo-size/wegeophysics/kalfeat?style=flat-square) ## Problematic `kalfeat`(stands for [Kouadio et al.](https://doi.org/10.1029/2021wr031623) features detection) is designed for predicting the groundwater flow rate (FR) from the geology and DC resistivity data. In developing countries, during the campaigns for drinking water supply (CDWS), the DC-resistivity method is mostly used especially