干旱区生态环境知识资源中心(Arid): Delineating the Potential Areas of Rainwater Harvesting in Arid Regions Using Remote Sensing and GIS Techniques

Arid

DOI	10.3390/w15203592
	Delineating the Potential Areas of Rainwater Harvesting in Arid Regions Using Remote Sensing and GIS Techniques
	Abdelkareem, Mohamed; Mansour, Abbas M.; Akawy, Ahmed
通讯作者	Abdelkareem, M
来源期刊	WATER
EISSN	2073-4441
出版年	2023
卷号	15 期号:20
英文摘要	Remote sensing (RS) data have allowed prospective zones of water accumulation (PZWA) that have been harvested during rainstorms to be revealed. Climatic, hydrologic, and geological data have been combined with radar and optical remote sensing data. A wide array of remote sensing data, including SRTM, Sentinel-1&2, Landsat-8, TRMM, and ALOS/PALSAR data, were processed to reveal the topographical characteristics of catchments (elevation, slope, curvature, and TRI) and geological (lineaments, lithology, and radar intensity), hydrological (Dd, TWI, and SPI), ecological (NDVI, InSAR CCD), and rainfall zones in Wadi Queih (WQ), which is an important drainage system that drains into the Red Sea. Radar data improved the structural elements and showed that the downstream area is shaped by the northeast-southwest (NE-SW) fault trend. After giving each evidential GIS layer a weight by utilizing a GIS-based, knowledge-driven methodology, the 13 GIS layers were integrated and combined. According to the findings, the studied basin can be classified into six zones based on how water resources are held and captured, which are very low, low, moderate, high, very high, and excellent. These zones correspond to 6.20, 14.01, 21.26, 36.57, 17.35, and 4.59% of the entire area. The results suggested a specific location for a lake that can be used to store rainwater, with a capacity of similar to 240 million m(3) in the case of increasing rainfall yield. Such a lake complements the present lake at the end of WQ, which can hold about 1 million m(3). InSAR coherence change detection (CCD) derived from Sentinel-1 data revealed noticeable changes in land use/land cover (LU/LC) areas. Areas that displayed changes in surface water signatures and agricultural and human activities were consistent with the predicted very high and excellent zones. Thus, the predicted model is an important approach that can aid planners and governments. Overall, the integration of optical and radar microwaves in RS and GIS techniques can reveal promising areas of rainwater and water accumulation.
英文关键词	remote sensing GIS modeling rainwater harvesting
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:001094368700001
WOS关键词	SENSED DATA ; GROUNDWATER ; SITES ; IDENTIFICATION ; DISTRICT ; RECHARGE ; AQUIFER ; BASIN ; INDIA ; WATER
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/2XILL650/399087
推荐引用方式 GB/T 7714	Abdelkareem, Mohamed,Mansour, Abbas M.,Akawy, Ahmed. Delineating the Potential Areas of Rainwater Harvesting in Arid Regions Using Remote Sensing and GIS Techniques[J],2023,15(20).
APA	Abdelkareem, Mohamed,Mansour, Abbas M.,&Akawy, Ahmed.(2023).Delineating the Potential Areas of Rainwater Harvesting in Arid Regions Using Remote Sensing and GIS Techniques.WATER,15(20).
MLA	Abdelkareem, Mohamed,et al."Delineating the Potential Areas of Rainwater Harvesting in Arid Regions Using Remote Sensing and GIS Techniques".WATER 15.20(2023).