确保干旱地区的用水:利用遥感和地理信息系统技术进行雨水收集和可持续地下水管理

IF 3.8 Q2 ENVIRONMENTAL SCIENCES
Mohamed Abdelkareem, Abbas M. Mansour, Ahmed Akawy
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引用次数: 0

摘要

在气候变化的影响下,干旱地区承受着气候压力:干旱频率增加,暴风雨事件加剧。这种降水模式的混乱和缺乏导致水资源匮乏,阻碍了可持续发展目标的实现。埃及流域最适合实施雨水收集(RWH)战略。为促进该地区可持续水资源管理实践的发展,本研究采用多重标准方法,在萨法加谷内划分出最佳雨水收集区。将从哨兵-1&2、大地遥感卫星-8、ALOS/PALSAR 和哨兵-1 干涉合成孔径雷达获得的雷达和光学遥感数据与热带降雨测量使命(TRMM)气候、水文和地质数据集整合在一起,强调了集水区的水文特征。此外,还对流域内的降雨强度模式进行了分析。预测模型使用了 13 个因素,包括海拔、坡度、曲率、凹陷、岩性、雷达、InSAR CCD、排水密度 (Dd)、与河流的距离 (DR)、植被、地形湿润指数 (TWI)、降雨量和线状密度。采用知识驱动的地理信息系统 (GIS) 方法,包括基于层次分析法 (AHP) 的加权因子,划定了合理的 RWH 区域和地下水潜势区 (GWPZ)。由此绘制的地图将盆地划分为五个 GWPZ 等级:极低(14%)、低(28%)、中等(27%)、高(21%)和很高(10%)。此外,研究还确定了修建水库的最佳地点,以储存收集的雨水,并为下游采矿、工业和旅游活动提供保护。总之,所获得的信息对于规划者和决策者在瓦迪萨法加盆地实施可持续水资源管理战略至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Securing water for arid regions: Rainwater harvesting and sustainable groundwater management using remote sensing and GIS techniques

Arid regions experience climatic stress under climate change: increased drought frequency coupled with intensified storm events. This disruption and lack of precipitation patterns leads to water scarcity and hinders the achievement of sustainable development goals. Egypt drainage basin exhibiting the greatest suitability for the implementation of rainwater harvesting (RWH) strategies. To facilitate the development of sustainable water resource management practices in the region, this study uses a multi-criteria methodology to delineate optimal zones for RWH within the Wadi Safaga. Integration of radar and optical remote sensing data obtained from Sentinel-1&2, Landsat-8, ALOS/PALSAR, and Sentinel-1 Interferometric SAR with climatic Tropical Rainfall Measuring Mission (TRMM), hydrological, and geological datasets emphasizes the hydrologic characteristics of the catchments. Additionally, the analysis of rainfall intensity patterns within the basin was undertaken. Thirteen factors are used in the predicted model including elevation, slope, curvature, depression, lithology, radar, InSAR CCD, drainage density (Dd), distance to river (DR), vegetation, topographic wetness index (TWI), rainfall, and lineament density. A knowledge-driven Geographic Information System (GIS) methodology, including weighted factors based on the Analytical Hierarchy Process (AHP), was implemented to delineate plausible areas for RWH and groundwater potential zones (GWPZs). The resultant map categorized the basin into five GWPZ classes: very low (14%), low (28%), moderate (27%), high (21%), and very high (10%). Furthermore, the study identified optimal locations for constructing reservoirs to store harvested rainwater and provide protection for downstream mining, industrial, and tourism activities. In conclusion, the obtained information is crucial for planners and decision-makers to implement sustainable water resource management strategies within the Wadi Safaga basin.

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来源期刊
CiteScore
8.00
自引率
8.50%
发文量
204
审稿时长
65 days
期刊介绍: The journal ''Remote Sensing Applications: Society and Environment'' (RSASE) focuses on remote sensing studies that address specific topics with an emphasis on environmental and societal issues - regional / local studies with global significance. Subjects are encouraged to have an interdisciplinary approach and include, but are not limited by: " -Global and climate change studies addressing the impact of increasing concentrations of greenhouse gases, CO2 emission, carbon balance and carbon mitigation, energy system on social and environmental systems -Ecological and environmental issues including biodiversity, ecosystem dynamics, land degradation, atmospheric and water pollution, urban footprint, ecosystem management and natural hazards (e.g. earthquakes, typhoons, floods, landslides) -Natural resource studies including land-use in general, biomass estimation, forests, agricultural land, plantation, soils, coral reefs, wetland and water resources -Agriculture, food production systems and food security outcomes -Socio-economic issues including urban systems, urban growth, public health, epidemics, land-use transition and land use conflicts -Oceanography and coastal zone studies, including sea level rise projections, coastlines changes and the ocean-land interface -Regional challenges for remote sensing application techniques, monitoring and analysis, such as cloud screening and atmospheric correction for tropical regions -Interdisciplinary studies combining remote sensing, household survey data, field measurements and models to address environmental, societal and sustainability issues -Quantitative and qualitative analysis that documents the impact of using remote sensing studies in social, political, environmental or economic systems
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