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Geospatial application on mapping groundwater recharge zones in Makutupora basin, Tanzania

Management of groundwater systems is indispensable to countries that depend on groundwater as the primary source of community water supply (e.g. Dodoma, Tanzania). Urbanization and industrialization lead to groundwater over-pumping and reduced recharge zones in the basin. This study used Remote Sens...

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Autores principales: Kisiki, Clarance Paul, Bekele, Tilaye Worku, Ayenew, Tenalem, Mjemah, Ibrahimu Chikira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9535296/
https://www.ncbi.nlm.nih.gov/pubmed/36211994
http://dx.doi.org/10.1016/j.heliyon.2022.e10760
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author Kisiki, Clarance Paul
Bekele, Tilaye Worku
Ayenew, Tenalem
Mjemah, Ibrahimu Chikira
author_facet Kisiki, Clarance Paul
Bekele, Tilaye Worku
Ayenew, Tenalem
Mjemah, Ibrahimu Chikira
author_sort Kisiki, Clarance Paul
collection PubMed
description Management of groundwater systems is indispensable to countries that depend on groundwater as the primary source of community water supply (e.g. Dodoma, Tanzania). Urbanization and industrialization lead to groundwater over-pumping and reduced recharge zones in the basin. This study used Remote Sensing and geospatial datasets to determine the groundwater recharge zones (GWRZ) followed by sensitivity analysis to identify the influence of geologic and hydrologic factors on the variation of the GWRZ in the case of the Makutupora basin, Tanzania. The implementation of weighted overlay analysis aimed to determine the GWRZ using different thematic maps created from land use land cover (LULC), drainage density, lithology, lineament density, rainfall, slope and soil datasets. The analytical hierarchy process (AHP) and multi-influencing factor (MIF) are the multi-criteria decision analysis (MCDA) implemented to assign weights to the selected influencing factors. Either, the map removal method was implemented for the sensitivity analysis. Pumping wells were overlaid to validate the GWRZ map determined. The overlay of seven thematic maps resulted in the GWRZ map being categorized as good (35.79% for AHP and 21.68% for MIF), moderate (40.98% for AHP and 58.39% for MIF) and poor (23.22% for AHP and 19.95% for MIF). Good recharge potential areas lie in an area characterized by thick forest, high lineament and water bodies around the northwestern and central-eastern side of the basin. Validation of GWRZ indicated that 33.33% for AHP and 30% for MIF are in good GWRZ, 41.6% for AHP and 28% for MIF are in moderate GWRZ and 25% for AHP and 42% for MIF are in poor GWRZ. The sensitivity analysis revealed the high effect of GWRZ on the removal of the LULC, lithology and lineament thematic layer in both AHP and MIF-generated GWRZ maps. This implies that the expansion of settlements is not considering recharge zone protection. Lineaments are also a very important factor governing groundwater recharge which needs to be protected. The result displays that urbanization dramatically reduced the potential area for groundwater recharge. Protecting the potential recharge zone from any activity that reduces the recharge is vital for the sustainability of groundwater.
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spelling pubmed-95352962022-10-07 Geospatial application on mapping groundwater recharge zones in Makutupora basin, Tanzania Kisiki, Clarance Paul Bekele, Tilaye Worku Ayenew, Tenalem Mjemah, Ibrahimu Chikira Heliyon Research Article Management of groundwater systems is indispensable to countries that depend on groundwater as the primary source of community water supply (e.g. Dodoma, Tanzania). Urbanization and industrialization lead to groundwater over-pumping and reduced recharge zones in the basin. This study used Remote Sensing and geospatial datasets to determine the groundwater recharge zones (GWRZ) followed by sensitivity analysis to identify the influence of geologic and hydrologic factors on the variation of the GWRZ in the case of the Makutupora basin, Tanzania. The implementation of weighted overlay analysis aimed to determine the GWRZ using different thematic maps created from land use land cover (LULC), drainage density, lithology, lineament density, rainfall, slope and soil datasets. The analytical hierarchy process (AHP) and multi-influencing factor (MIF) are the multi-criteria decision analysis (MCDA) implemented to assign weights to the selected influencing factors. Either, the map removal method was implemented for the sensitivity analysis. Pumping wells were overlaid to validate the GWRZ map determined. The overlay of seven thematic maps resulted in the GWRZ map being categorized as good (35.79% for AHP and 21.68% for MIF), moderate (40.98% for AHP and 58.39% for MIF) and poor (23.22% for AHP and 19.95% for MIF). Good recharge potential areas lie in an area characterized by thick forest, high lineament and water bodies around the northwestern and central-eastern side of the basin. Validation of GWRZ indicated that 33.33% for AHP and 30% for MIF are in good GWRZ, 41.6% for AHP and 28% for MIF are in moderate GWRZ and 25% for AHP and 42% for MIF are in poor GWRZ. The sensitivity analysis revealed the high effect of GWRZ on the removal of the LULC, lithology and lineament thematic layer in both AHP and MIF-generated GWRZ maps. This implies that the expansion of settlements is not considering recharge zone protection. Lineaments are also a very important factor governing groundwater recharge which needs to be protected. The result displays that urbanization dramatically reduced the potential area for groundwater recharge. Protecting the potential recharge zone from any activity that reduces the recharge is vital for the sustainability of groundwater. Elsevier 2022-09-26 /pmc/articles/PMC9535296/ /pubmed/36211994 http://dx.doi.org/10.1016/j.heliyon.2022.e10760 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Kisiki, Clarance Paul
Bekele, Tilaye Worku
Ayenew, Tenalem
Mjemah, Ibrahimu Chikira
Geospatial application on mapping groundwater recharge zones in Makutupora basin, Tanzania
title Geospatial application on mapping groundwater recharge zones in Makutupora basin, Tanzania
title_full Geospatial application on mapping groundwater recharge zones in Makutupora basin, Tanzania
title_fullStr Geospatial application on mapping groundwater recharge zones in Makutupora basin, Tanzania
title_full_unstemmed Geospatial application on mapping groundwater recharge zones in Makutupora basin, Tanzania
title_short Geospatial application on mapping groundwater recharge zones in Makutupora basin, Tanzania
title_sort geospatial application on mapping groundwater recharge zones in makutupora basin, tanzania
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9535296/
https://www.ncbi.nlm.nih.gov/pubmed/36211994
http://dx.doi.org/10.1016/j.heliyon.2022.e10760
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