气候变化领域集成服务门户(CCPortal): Identifying Groundwater Potential Regions in Sokoto Basin, Northwestern Nigeria: An Integrated Remote Sensing, GIS, and MIF Techniques

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DOI	10.1007/s12524-024-01872-8
	Identifying Groundwater Potential Regions in Sokoto Basin, Northwestern Nigeria: An Integrated Remote Sensing, GIS, and MIF Techniques
	Akudo, Ernest O.; Ifediegwu, Stanley I.; Ahmed, Jamilu B.; Aigbadon, Godwin O.
发表日期	2024
ISSN	0255-660X
EISSN	0974-3006
英文摘要	Sokoto basin is known to experience an acute shortage of surface and groundwater resources due to climate change, increasing aridity, and land degradation among several other concerns. Being in an agrarian environment, the people are faced with the hardship of a limited supply of water, especially for dry season crop cultivation. Therefore, this study aims to identify and delineate good groundwater potential zones to guide its exploitation. The study utilized nine GWPR factors, including geology, soil property, geomorphology, slope, lineament density, drainage density, rainfall, land use/land cover, and groundwater level fluctuation. These factors were sourced from remotely sensed data and reliable archived hydrological data, after which thematic layers were prepared and assembled in the ArcGIS 10.5 environment. The Multi-Influence Factor (MIF) analysis techniques and the weighted overlay method were used to assign weights and the groundwater potential map of the study area was generated. The results classified the basin into, poor, moderate, good, and very good groundwater potential regions, with the spatial expanse of 17.4 km2 (0.028%), 34,470.6 km2 (54.8%), 26,380.2 km2 (42.0%), and 2020.5 km2 (3.2%), respectively. The good to very good potential regions are mostly domiciled in the southern part of the basin covering most parts of Kebbi State. In contrast, the moderate to the poor regions are restricted to the northern part of the basin essentially covering most parts of Sokoto and Zamfara States. Validation shows that the results are in tandem with the outcome of the GIS and MIF techniques.
英文关键词	Groundwater potential regions; Geographic information system; Multi influence factor; Sokoto Basin
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Remote Sensing
WOS类目	Environmental Sciences ; Remote Sensing
WOS记录号	WOS:001223488800003
来源期刊	JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/300401
作者单位	University of Nigeria
推荐引用方式 GB/T 7714	Akudo, Ernest O.,Ifediegwu, Stanley I.,Ahmed, Jamilu B.,et al. Identifying Groundwater Potential Regions in Sokoto Basin, Northwestern Nigeria: An Integrated Remote Sensing, GIS, and MIF Techniques[J],2024.
APA	Akudo, Ernest O.,Ifediegwu, Stanley I.,Ahmed, Jamilu B.,&Aigbadon, Godwin O..(2024).Identifying Groundwater Potential Regions in Sokoto Basin, Northwestern Nigeria: An Integrated Remote Sensing, GIS, and MIF Techniques.JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING.
MLA	Akudo, Ernest O.,et al."Identifying Groundwater Potential Regions in Sokoto Basin, Northwestern Nigeria: An Integrated Remote Sensing, GIS, and MIF Techniques".JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING (2024).