干旱区生态环境知识资源中心(Arid): Mapping Groundwater Potential Zones Using a Knowledge-Driven Approach and GIS Analysis

Arid

DOI	10.3390/w13050579
	Mapping Groundwater Potential Zones Using a Knowledge-Driven Approach and GIS Analysis
	Zhu, Qiande; Abdelkareem, Mohamed
通讯作者	Abdelkareem, M (corresponding author), South Valley Univ, Dept Geol, Fac Sci, Qena 83523, Egypt. ; Abdelkareem, M (corresponding author), South Valley Univ, Remote Sensing Lab, Qena 83523, Egypt.
来源期刊	WATER
EISSN	2073-4441
出版年	2021
卷号	13 期号:5
英文摘要	Despite the Sahara being one of the most arid regions on Earth, it has experienced rainfall conditions in the past and could hold plentiful groundwater resources. Thus, groundwater is one of the most precious water resources in this region, which suffers from water shortage due to the limited rainfall caused by climatic conditions. This article will assess the knowledge-driven techniques employed to develop a model to integrate the multicriteria derived from geologic, geomorphic, structural, seismic, hydrologic, and remotely sensed data. This model was tested on the defunct Kom Ombo area of Egypt's Nile river basin in the eastern Sahara, which covers similar to 28,200 km(2), to reveal the promising areas of groundwater resources. To optimize the output map, we updated the model by adding the automated depression resulting from a fill-difference approach and seismic activity layers combined with other evidential maps, including slope, topography, geology, drainage density, lineament density, soil characteristics, rainfall, and morphometric characteristics, after assigning a weight for each using a Geographic Information System (GIS)-based knowledge-driven approach. The paleochannels and soil characteristics were visualized using Advanced Land Observing Satellite (ALOS)/Phased Array type L-band Synthetic Aperture Radar (PALSAR) data. Several hydromorphic characteristics, sinks/depressions, and sub-basin characteristics were extracted using Shuttle Radar Topography Mission (SRTM) data. The results revealed that the assessed groundwater potential zones (GPZs) can be arranged into five distinctive groups, depending on their probability for groundwater, namely very low (6.56%), low (22.62%), moderate (30.75%), high (29.71%), and very high (10.34%). The downstream areas and Wadi Garara have very high recharge and storage potential. Interferometry Synthetic Aperture Radar (InSAR) coherence change detection (CCD) derived from Sentinel-1 data revealed a consistency between areas with high InSAR CCD (low change) that received a plausible amount of surface water and those with very low InSAR CCD values close to 0 (high change). Landsat data validated the areas that received runoff and are of high potentiality. The twenty-nine groundwater well locations overlaid on the GPZs, to assess the predicted model, indicated that about 86.17% of the wells were matched with very good to moderate potential zones.
英文关键词	hydrology GIS modeling radar groundwater arid area Egypt
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:000628601500001
WOS类目	Environmental Sciences ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/351943
作者单位	[Zhu, Qiande] Nanjing Hydraul Res Inst NHRI, State Key Lab Hydrol & Water Resources & Hydraul, Nanjing 210029, Peoples R China; [Abdelkareem, Mohamed] South Valley Univ, Dept Geol, Fac Sci, Qena 83523, Egypt; [Abdelkareem, Mohamed] South Valley Univ, Remote Sensing Lab, Qena 83523, Egypt
推荐引用方式 GB/T 7714	Zhu, Qiande,Abdelkareem, Mohamed. Mapping Groundwater Potential Zones Using a Knowledge-Driven Approach and GIS Analysis[J],2021,13(5).
APA	Zhu, Qiande,&Abdelkareem, Mohamed.(2021).Mapping Groundwater Potential Zones Using a Knowledge-Driven Approach and GIS Analysis.WATER,13(5).
MLA	Zhu, Qiande,et al."Mapping Groundwater Potential Zones Using a Knowledge-Driven Approach and GIS Analysis".WATER 13.5(2021).