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Unveiling groundwater potential zones as catalyst for multidimensional poverty reduction using analytical hierarchical process and geospatial decision support systems (S-DSS) approach in the semiarid region, Jigawa, Nigeria

Integrating agricultural production with the identification and use of groundwater resources has been shown to reduce multidimensional poverty in semi-arid regions. Poverty reduction and socioeconomic growth depend on sustainable water supply, especially in developing countries with limited rainy se...

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Main Authors: Gambo, Jibrin, Aliaa binti Roslan, Siti Nur, Mohd Shafrib, Helmi Zulhaidi, Che Ya, Nik Norasma, Yusuf, Yusuf Ahmed
Format: Article
Published: Elsevier 2024
Online Access:http://psasir.upm.edu.my/id/eprint/105675/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179885931&doi=10.1016%2fj.gsd.2023.101038&partnerID=40&md5=8306bd6e618bc302156853f8d4b51390
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spelling my.upm.eprints.1056752024-02-08T06:49:17Z http://psasir.upm.edu.my/id/eprint/105675/ Unveiling groundwater potential zones as catalyst for multidimensional poverty reduction using analytical hierarchical process and geospatial decision support systems (S-DSS) approach in the semiarid region, Jigawa, Nigeria Gambo, Jibrin Aliaa binti Roslan, Siti Nur Mohd Shafrib, Helmi Zulhaidi Che Ya, Nik Norasma Yusuf, Yusuf Ahmed Integrating agricultural production with the identification and use of groundwater resources has been shown to reduce multidimensional poverty in semi-arid regions. Poverty reduction and socioeconomic growth depend on sustainable water supply, especially in developing countries with limited rainy seasons. Poverty eradication is a top priority among the 17 Sustainable Development Goals (SDGs), and its reduction in the 21st century has led to significant advances in research. This study used remote sensing, geographic information system (GIS), and geospatial decision support system (S-DSS) approaches to uncover potential groundwater zones. The Analytic Hierarchy Process (AHP) integrates geospatial data to create a groundwater potential zone map and suggests the best land requirements for groundwater abstraction for poverty alleviation programs. The groundwater potential zone maps indicate that the majority of the region was in the high-potential zone, covering 59.75 of the total area, followed by a moderate-potential zone at 23.21, an extremely high-potential zone at 14.6, a low-potential zone at 2.44, and an extremely low-potential zone at 0. In addition, the study emphasizes the need for alternative water sources and infrastructure development in dry seasons in areas with fewer drainage systems and proposes measures such as rainwater harvesting structures and small reservoirs. Diversifying income sources by promoting alternative livelihoods can help reduce poverty and vulnerability to fluctuations in agricultural productivity. The integration of socioeconomic data into the S-DSS framework will provide a comprehensive understanding of the complex relationship between groundwater resources, poverty, and socioeconomic development, enabling informed decision-making in water resource management for poverty reduction initiatives and the achievement of the 2030 Agenda for Sustainable Development Goals. © 2023 Elsevier B.V. Elsevier 2024 Article PeerReviewed Gambo, Jibrin and Aliaa binti Roslan, Siti Nur and Mohd Shafrib, Helmi Zulhaidi and Che Ya, Nik Norasma and Yusuf, Yusuf Ahmed (2024) Unveiling groundwater potential zones as catalyst for multidimensional poverty reduction using analytical hierarchical process and geospatial decision support systems (S-DSS) approach in the semiarid region, Jigawa, Nigeria. Groundwater for Sustainable Development, 24. art. no. 101038. pp. 1-19. ISSN 2352-801X https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179885931&doi=10.1016%2fj.gsd.2023.101038&partnerID=40&md5=8306bd6e618bc302156853f8d4b51390 10.1016/j.gsd.2023.101038
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description Integrating agricultural production with the identification and use of groundwater resources has been shown to reduce multidimensional poverty in semi-arid regions. Poverty reduction and socioeconomic growth depend on sustainable water supply, especially in developing countries with limited rainy seasons. Poverty eradication is a top priority among the 17 Sustainable Development Goals (SDGs), and its reduction in the 21st century has led to significant advances in research. This study used remote sensing, geographic information system (GIS), and geospatial decision support system (S-DSS) approaches to uncover potential groundwater zones. The Analytic Hierarchy Process (AHP) integrates geospatial data to create a groundwater potential zone map and suggests the best land requirements for groundwater abstraction for poverty alleviation programs. The groundwater potential zone maps indicate that the majority of the region was in the high-potential zone, covering 59.75 of the total area, followed by a moderate-potential zone at 23.21, an extremely high-potential zone at 14.6, a low-potential zone at 2.44, and an extremely low-potential zone at 0. In addition, the study emphasizes the need for alternative water sources and infrastructure development in dry seasons in areas with fewer drainage systems and proposes measures such as rainwater harvesting structures and small reservoirs. Diversifying income sources by promoting alternative livelihoods can help reduce poverty and vulnerability to fluctuations in agricultural productivity. The integration of socioeconomic data into the S-DSS framework will provide a comprehensive understanding of the complex relationship between groundwater resources, poverty, and socioeconomic development, enabling informed decision-making in water resource management for poverty reduction initiatives and the achievement of the 2030 Agenda for Sustainable Development Goals. © 2023 Elsevier B.V.
format Article
author Gambo, Jibrin
Aliaa binti Roslan, Siti Nur
Mohd Shafrib, Helmi Zulhaidi
Che Ya, Nik Norasma
Yusuf, Yusuf Ahmed
spellingShingle Gambo, Jibrin
Aliaa binti Roslan, Siti Nur
Mohd Shafrib, Helmi Zulhaidi
Che Ya, Nik Norasma
Yusuf, Yusuf Ahmed
Unveiling groundwater potential zones as catalyst for multidimensional poverty reduction using analytical hierarchical process and geospatial decision support systems (S-DSS) approach in the semiarid region, Jigawa, Nigeria
author_facet Gambo, Jibrin
Aliaa binti Roslan, Siti Nur
Mohd Shafrib, Helmi Zulhaidi
Che Ya, Nik Norasma
Yusuf, Yusuf Ahmed
author_sort Gambo, Jibrin
title Unveiling groundwater potential zones as catalyst for multidimensional poverty reduction using analytical hierarchical process and geospatial decision support systems (S-DSS) approach in the semiarid region, Jigawa, Nigeria
title_short Unveiling groundwater potential zones as catalyst for multidimensional poverty reduction using analytical hierarchical process and geospatial decision support systems (S-DSS) approach in the semiarid region, Jigawa, Nigeria
title_full Unveiling groundwater potential zones as catalyst for multidimensional poverty reduction using analytical hierarchical process and geospatial decision support systems (S-DSS) approach in the semiarid region, Jigawa, Nigeria
title_fullStr Unveiling groundwater potential zones as catalyst for multidimensional poverty reduction using analytical hierarchical process and geospatial decision support systems (S-DSS) approach in the semiarid region, Jigawa, Nigeria
title_full_unstemmed Unveiling groundwater potential zones as catalyst for multidimensional poverty reduction using analytical hierarchical process and geospatial decision support systems (S-DSS) approach in the semiarid region, Jigawa, Nigeria
title_sort unveiling groundwater potential zones as catalyst for multidimensional poverty reduction using analytical hierarchical process and geospatial decision support systems (s-dss) approach in the semiarid region, jigawa, nigeria
publisher Elsevier
publishDate 2024
url http://psasir.upm.edu.my/id/eprint/105675/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179885931&doi=10.1016%2fj.gsd.2023.101038&partnerID=40&md5=8306bd6e618bc302156853f8d4b51390
_version_ 1792154552869322752
score 13.211869

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