干旱区生态环境知识资源中心(Arid): Delineation of groundwater prospective resources by exploiting geo-spatial decision-making techniques for the Kingdom of Saudi Arabia

Arid

DOI	10.1007/s00521-018-3370-z
	Delineation of groundwater prospective resources by exploiting geo-spatial decision-making techniques for the Kingdom of Saudi Arabia
	Mumtaz, Rafia 1,2; Baig, Shahbaz 3; Kazmi, Syed Saqib Ali 4; Ahmad, Farooq 1; Fatima, Iram 1; Ghauri, Badar 5
通讯作者	Mumtaz, Rafia
来源期刊	NEURAL COMPUTING & APPLICATIONS
ISSN	0941-0643
EISSN	1433-3058
出版年	2019
卷号	31 期号:9 页码:5379-5399
英文摘要	Saudi Arabia is a water deficit and an arid land with limited fresh water supplies. Owing to the burgeoning population, ascending living standards and desert agriculture, there is a tremendous stress on the current water reserves. Towards such ends, this paper introduces a remote sensing and geographic information system (GIS)-based multi-factor decision-making system to identify the regions in Saudi Arabia with groundwater potential. The proposed model is capable of producing groundwater suitability map built on the synthesis of several hydrological factors such as rainfall, slope, lithological features, land use/land cover, geological structures, soil type, lineaments density and drainage network using an analytical hierarchical process. The synthesis of these parameters has resulted in improved rendering of groundwater probable hotspots in the study area. According to obtained results, 0.66% (587.90 km(2)), 38.97% (34162.12 km(2)), 58.55% (51328.34 km(2)), 1.8% (1588.36 km(2)) and 0.004% (3.26 km(2)) of the study area was ranked as 'Best', 'Very good', 'Good', 'Fair' and 'Poor', respectively. The delineated zones were validated by mapping water wells on the suitability map. The results showed that 35.88 and 62.35% of the water wells belong to 'Very good' and 'Good' regions, while 0.58 and 1.17% belong to 'Best' and 'Fair' regions. This indicates that model-generated results were in good agreement with the ground truth and majority of the existing wells belong to 'Very good' to 'Good' regions of the generated map. This demonstrated the potential of remote sensing and GIS techniques to successfully discover groundwater plausible regions which could be further exploited to find suitable locations for groundwater withdrawal.
英文关键词	Groundwater Analytical hierarchical process Multi-factor decision-making Unsupervised classification
类型	Article
语种	英语
国家	Saudi Arabia ; Pakistan
收录类别	SCI-E
WOS记录号	WOS:000488645700064
WOS关键词	GEOGRAPHIC INFORMATION-SYSTEMS ; POTENTIAL ZONES ; ANDHRA-PRADESH ; INTEGRATED APPROACH ; SEMIARID REGION ; RIVER-BASIN ; GIS ; IDENTIFICATION ; DISTRICT ; TERRAIN
WOS类目	Computer Science, Artificial Intelligence
WOS研究方向	Computer Science
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/217765
作者单位	1.King Faisal Univ, Al Hasa, Saudi Arabia; 2.Natl Univ Sci & Technol, Sch Elect Engn & Comp Sci, Islamabad, Pakistan; 3.Inst Space Technol, Islamabad, Pakistan; 4.Natl Univ Sci & Technol, IGIS, Islamabad, Pakistan; 5.Inst Space Technol, Karachi, Pakistan
推荐引用方式 GB/T 7714	Mumtaz, Rafia,Baig, Shahbaz,Kazmi, Syed Saqib Ali,et al. Delineation of groundwater prospective resources by exploiting geo-spatial decision-making techniques for the Kingdom of Saudi Arabia[J],2019,31(9):5379-5399.
APA	Mumtaz, Rafia,Baig, Shahbaz,Kazmi, Syed Saqib Ali,Ahmad, Farooq,Fatima, Iram,&Ghauri, Badar.(2019).Delineation of groundwater prospective resources by exploiting geo-spatial decision-making techniques for the Kingdom of Saudi Arabia.NEURAL COMPUTING & APPLICATIONS,31(9),5379-5399.
MLA	Mumtaz, Rafia,et al."Delineation of groundwater prospective resources by exploiting geo-spatial decision-making techniques for the Kingdom of Saudi Arabia".NEURAL COMPUTING & APPLICATIONS 31.9(2019):5379-5399.