دورية أكاديمية
Delineating the Potential Areas of Rainwater Harvesting in Arid Regions Using Remote Sensing and GIS Techniques
| العنوان: | Delineating the Potential Areas of Rainwater Harvesting in Arid Regions Using Remote Sensing and GIS Techniques |
|---|---|
| المؤلفون: | Mohamed Abdelkareem, Abbas M. Mansour, Ahmed Akawy |
| المصدر: | Water, Vol 15, Iss 20, p 3592 (2023) |
| بيانات النشر: | MDPI AG, 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Hydraulic engineering LCC:Water supply for domestic and industrial purposes |
| مصطلحات موضوعية: | remote sensing, GIS, modeling, rainwater harvesting, Hydraulic engineering, TC1-978, Water supply for domestic and industrial purposes, TD201-500 |
| الوصف: | 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 ~240 million m3 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 m3. 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. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2073-4441 |
| العلاقة: | https://www.mdpi.com/2073-4441/15/20/3592Test; https://doaj.org/toc/2073-4441Test |
| DOI: | 10.3390/w15203592 |
| الوصول الحر: | https://doaj.org/article/7105f3f9b0c74f5d89a418509352f8ccTest |
| رقم الانضمام: | edsdoj.7105f3f9b0c74f5d89a418509352f8cc |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 20734441 |
|---|---|
| DOI: | 10.3390/w15203592 |