针对埃塞俄比亚康索地区有效确定雨水收集地点的多标准分析
Fitsum Tsehay Bereded1, Yohannes Mehari Andiye1, Tarun Kumar Lohani1
1Faculty of Hydraulic and Water Resources Engineering Water Technology Institute Arba Minch University Arba Minch P.O.Box 21 Ethiopia.
Global challenges (Hoboken, NJ)
|April 21, 2025
概括
本研究使用多标准分析 (MCA) 和地理信息系统 (GIS) 确定了埃塞俄比亚的最佳雨水收集 (RWH) 地点. 结果显示,28.3%的面积非常适合RWH,验证了模型与现有池.
科学领域:
- 环境科学 环境科学
- 水文学 水文学
- 地理信息科学 地理信息科学
背景情况:
- 埃塞俄比亚南部的康索斯地区面临着资源限制和气候变化脆弱性.
- 水资源短缺严重影响了该地区的传统农业实践.
研究的目的:
- 在康索地区确定最有效的雨水收集 (RWH) 地点.
- 将多标准分析 (MCA) 与地理信息系统 (GIS) 整合起来,以实现最佳的RWH地点选择.
主要方法:
- 使用的决策标准包括降雨量,土地覆盖,斜率和基础设施的接近.
- 采用分析层次流程 (AHP) 来分类适用性级别和权重叠加流程 (WOP) 来选择地点.
- 绘制了限制区 (建筑物和水体) 的地图,并与现有的RWH池验证了适宜性模型.
主要成果:
- 大约28.3% (658平方公里) 的总面积非常适合RWH.
- 现有的RWH池主要属于高到中等适用区 (占总面积的92.6%).
- 综合的MCA-GIS模型有效地确定了合适的RWH位置.
结论:
- 与GIS集成的MCA对于识别合适的RWH地点非常有效,特别是在数据稀缺的干旱和半干旱地区.
- 该方法为脆弱地区的可持续水资源管理提供了坚实的框架.
- 调查结果支持通过战略收集水基础设施提高农业弹性.
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