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GIS and remote sensing-based multi-criteria analysis for delineation of groundwater potential zones: a case study for industrial zones in Bangladesh

Groundwater is a crucial natural resource that varies in quality and quantity across Bangladesh. Increased population and urbanization place enormous demands on groundwater supplies, reducing both their quality and quantity. This research aimed to delineate the groundwater potential zone in the Gazi...

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Main Authors:	Rahman, Md. Mizanur, AlThobiani, Faisal, Shahid, Shamsuddin, Virdis, Salvatore Gonario Pasquale, Mohammad Kamruzzaman, Mohammad Kamruzzaman, Rahaman, Hafijur, Momin, Md. Abdul, Hossain, Md. Belal, Ghandourah, Emad Ismat
Format:	Article
Language:	English
Published:	MDPI 2022
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://eprints.utm.my/104343/1/ShamsuddinShahid2022_GISandRemoteSensingBasedMulti.pdf http://eprints.utm.my/104343/ http://dx.doi.org/10.3390/su14116667
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spelling	my.utm.1043432024-02-04T04:05:36Z http://eprints.utm.my/104343/ GIS and remote sensing-based multi-criteria analysis for delineation of groundwater potential zones: a case study for industrial zones in Bangladesh Rahman, Md. Mizanur AlThobiani, Faisal Shahid, Shamsuddin Virdis, Salvatore Gonario Pasquale Mohammad Kamruzzaman, Mohammad Kamruzzaman Rahaman, Hafijur Momin, Md. Abdul Hossain, Md. Belal Ghandourah, Emad Ismat TA Engineering (General). Civil engineering (General) Groundwater is a crucial natural resource that varies in quality and quantity across Bangladesh. Increased population and urbanization place enormous demands on groundwater supplies, reducing both their quality and quantity. This research aimed to delineate the groundwater potential zone in the Gazipur district, Bangladesh, by integrating eleven thematic layers. Data and information were gathered from Landsat 8, the digital elevation model, the google earth engine, and several ancillary sources. A multi-criterion decision-making (MCDM) based analytical hierarchy process (AHP) was used in a GIS platform to estimate the groundwater potential index. The potential index values were finally classified into five sub-groups: very low, low, moderate, high, and very high to generate a groundwater water potential zone (GWPZ) map. The results show that groundwater potential in about 0.002% (0.026 km2) of the area is very low, 3.83% (63.18 km2) of the area is low, 56.2% (927.05 km2) of the area is medium, 39.25% (647.46 km2) of the area is high, and the rest 0.72% (11.82 km2) of the area is very high. The validation of GWPZ maps based on the groundwater level data at 20 observation wells showed an overall accuracy of 80%. In addition, the ROC curve showed 84% accuracy of GWPZ maps when validated with water inventory points across the study region. Overall, this study presents an easy and practical approach for identifying groundwater potential zones, which may help improve planning and sustainable groundwater resource management. MDPI 2022-06-01 Article PeerReviewed application/pdf en http://eprints.utm.my/104343/1/ShamsuddinShahid2022_GISandRemoteSensingBasedMulti.pdf Rahman, Md. Mizanur and AlThobiani, Faisal and Shahid, Shamsuddin and Virdis, Salvatore Gonario Pasquale and Mohammad Kamruzzaman, Mohammad Kamruzzaman and Rahaman, Hafijur and Momin, Md. Abdul and Hossain, Md. Belal and Ghandourah, Emad Ismat (2022) GIS and remote sensing-based multi-criteria analysis for delineation of groundwater potential zones: a case study for industrial zones in Bangladesh. Sustainability, 14 (11). pp. 1-25. ISSN 2071-1050 http://dx.doi.org/10.3390/su14116667 DOI:10.3390/su14116667
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
language	English
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Rahman, Md. Mizanur AlThobiani, Faisal Shahid, Shamsuddin Virdis, Salvatore Gonario Pasquale Mohammad Kamruzzaman, Mohammad Kamruzzaman Rahaman, Hafijur Momin, Md. Abdul Hossain, Md. Belal Ghandourah, Emad Ismat GIS and remote sensing-based multi-criteria analysis for delineation of groundwater potential zones: a case study for industrial zones in Bangladesh
description	Groundwater is a crucial natural resource that varies in quality and quantity across Bangladesh. Increased population and urbanization place enormous demands on groundwater supplies, reducing both their quality and quantity. This research aimed to delineate the groundwater potential zone in the Gazipur district, Bangladesh, by integrating eleven thematic layers. Data and information were gathered from Landsat 8, the digital elevation model, the google earth engine, and several ancillary sources. A multi-criterion decision-making (MCDM) based analytical hierarchy process (AHP) was used in a GIS platform to estimate the groundwater potential index. The potential index values were finally classified into five sub-groups: very low, low, moderate, high, and very high to generate a groundwater water potential zone (GWPZ) map. The results show that groundwater potential in about 0.002% (0.026 km2) of the area is very low, 3.83% (63.18 km2) of the area is low, 56.2% (927.05 km2) of the area is medium, 39.25% (647.46 km2) of the area is high, and the rest 0.72% (11.82 km2) of the area is very high. The validation of GWPZ maps based on the groundwater level data at 20 observation wells showed an overall accuracy of 80%. In addition, the ROC curve showed 84% accuracy of GWPZ maps when validated with water inventory points across the study region. Overall, this study presents an easy and practical approach for identifying groundwater potential zones, which may help improve planning and sustainable groundwater resource management.
format	Article
author	Rahman, Md. Mizanur AlThobiani, Faisal Shahid, Shamsuddin Virdis, Salvatore Gonario Pasquale Mohammad Kamruzzaman, Mohammad Kamruzzaman Rahaman, Hafijur Momin, Md. Abdul Hossain, Md. Belal Ghandourah, Emad Ismat
author_facet	Rahman, Md. Mizanur AlThobiani, Faisal Shahid, Shamsuddin Virdis, Salvatore Gonario Pasquale Mohammad Kamruzzaman, Mohammad Kamruzzaman Rahaman, Hafijur Momin, Md. Abdul Hossain, Md. Belal Ghandourah, Emad Ismat
author_sort	Rahman, Md. Mizanur
title	GIS and remote sensing-based multi-criteria analysis for delineation of groundwater potential zones: a case study for industrial zones in Bangladesh
title_short	GIS and remote sensing-based multi-criteria analysis for delineation of groundwater potential zones: a case study for industrial zones in Bangladesh
title_full	GIS and remote sensing-based multi-criteria analysis for delineation of groundwater potential zones: a case study for industrial zones in Bangladesh
title_fullStr	GIS and remote sensing-based multi-criteria analysis for delineation of groundwater potential zones: a case study for industrial zones in Bangladesh
title_full_unstemmed	GIS and remote sensing-based multi-criteria analysis for delineation of groundwater potential zones: a case study for industrial zones in Bangladesh
title_sort	gis and remote sensing-based multi-criteria analysis for delineation of groundwater potential zones: a case study for industrial zones in bangladesh
publisher	MDPI
publishDate	2022
url	http://eprints.utm.my/104343/1/ShamsuddinShahid2022_GISandRemoteSensingBasedMulti.pdf http://eprints.utm.my/104343/ http://dx.doi.org/10.3390/su14116667
_version_	1789940431850569728
score	13.211869

GIS and remote sensing-based multi-criteria analysis for delineation of groundwater potential zones: a case study for industrial zones in Bangladesh

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