干旱区生态环境知识资源中心(Arid): Groundwater delineation for sustainable improvement and development aided by GIS, AHP, and MIF techniques

Arid

DOI	10.1007/s13201-023-02065-3
	Groundwater delineation for sustainable improvement and development aided by GIS, AHP, and MIF techniques
	Ehsan, Muhsan; Shabbir, Haider; Al-Quraishi, Ayad M. Fadhil; Al-Ansari, Nadhir; Ahmad, Zulfiqar; Abdelrahman, Kamal; Sohail, Muhammad Tayyab; Manzoor, Zaira; Shafi, Ahsan; Elbeltagi, Ahmed
通讯作者	Al-Ansari, N
来源期刊	APPLIED WATER SCIENCE
ISSN	2190-5487
EISSN	2190-5495
出版年	2024
卷号	14 期号:2
英文摘要	Exploration of groundwater is an integral part of viable resource growth for society, economy, and irrigation. However, uncontrolled utilization is mainly reported in urban and industries due to the increasing demand for water in semi-arid and arid regions of the world. In the background, groundwater demarcation for potential areas is vital in meeting necessary demand. The current study applied an integrated method comprising the analytical hierarchy process (AHP), multiple influence factors (MIF), combined with a linear regression curve and observatory well data for groundwater prospects mapping. Thematic maps such as flow direction, flow accumulation, elevation map, land use land cover, slope, soil texture, hill shade, geomorphology, normalized vegetation index, and groundwater depth map were generated utilizing remote sensing techniques. The relative weight of each parameter was estimated and then assigned to major and minor parameters. Potential zones for groundwater were classified into five classes, namely very good, good, moderate, poor, and very poor, based on AHP and MIF methods. A spatially explicit sensitivity and uncertainty analysis method to a GIS-based multi-criteria groundwater potential zone model is presented in this research. The study addressed a flaw in the way groundwater potential mapping results are typically presented in GIS-based multi-criteria decision analysis studies, where discrete class outputs are used without any assessment of their certainty with respect to variations in criteria weighting, which is one of the main contributors to output uncertainty. The study region is categorized based on inferred results as very poor, poor, marginal, and very good in potential ground quality 3.04 km2 is considered extremely poor, 3.33 km2 is considered poor, 64.42 km2 is considered very good, and 85.84 km2 is considered marginal zones, which shows reliable and potential implementation. The outcomes of AHP and MIF were validated by linear regression curve and actual water table in a study area. The study results help to formulate the potential demarcation of groundwater zones for future sustainable planning and development of groundwater sources. This study may be helpful to provide a cost-effective solution to water resources crises. The current study finding may be helpful for decision-makers and administrative professionals for sustainable management of groundwater resources for present and future demands.
英文关键词	Groundwater Multiple influence factors (MIF) Analytical hierarchy process (AHP) Thematic maps Remote sensing
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:001144332900002
WOS关键词	FREQUENCY RATIO MODEL ; POTENTIAL ZONES ; RIVER-BASIN ; INDIA ; MAHARASHTRA ; AQUIFERS ; RECHARGE ; IDENTIFICATION ; DISTRICT ; DECISION
WOS类目	Water Resources
WOS研究方向	Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/402900
推荐引用方式 GB/T 7714	Ehsan, Muhsan,Shabbir, Haider,Al-Quraishi, Ayad M. Fadhil,et al. Groundwater delineation for sustainable improvement and development aided by GIS, AHP, and MIF techniques[J],2024,14(2).
APA	Ehsan, Muhsan.,Shabbir, Haider.,Al-Quraishi, Ayad M. Fadhil.,Al-Ansari, Nadhir.,Ahmad, Zulfiqar.,...&Elbeltagi, Ahmed.(2024).Groundwater delineation for sustainable improvement and development aided by GIS, AHP, and MIF techniques.APPLIED WATER SCIENCE,14(2).
MLA	Ehsan, Muhsan,et al."Groundwater delineation for sustainable improvement and development aided by GIS, AHP, and MIF techniques".APPLIED WATER SCIENCE 14.2(2024).