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通过综合的双变量统计和地理空间技术评估城市洪水易感性
Kalidhas Muthu1, Sivakumar Ramamoorthy2
1Department of Civil Engineering, College of Engineering and Technology, SRM Institute of Science and Technology, 603 203, Kattankulathur, Chengalpattu District, Tamil Nadu, India.
Environmental monitoring and assessment
|May 9, 2024
概括
这项研究使用统计方法绘制城市洪水易感性的地图,确定了奈的高风险区域. 这些发现有助于政策制定者减轻洪水影响和损失.
科学领域:
- 环境科学 环境科学
- 水文学的水文学
- 城市规划 城市规划
背景情况:
- 城市地区每年都经常面临洪水灾难,由于不透水的表面增加了下水量,这种灾难更加严重.
- 季风季节的洪水严重影响城市化流域,对基础设施和人口构成风险.
- 气候变化正在增加城市环境中的突然洪水的频率和强度.
研究的目的:
- 用两种统计方法绘制城市化水域的洪水易感度图.
- 分析城市化对洪水风险区域的影响.
- 为城市洪水风险管理和缓解策略提供框架.
主要方法:
- 采用了两种变量统计方法:频率比率 (FR) 和证据权重 (WOE).
- 使用的地理空间数据包括地形学,土壤,土地使用/土地覆盖 (LU/LC),降雨量,排水,斜率,面积,地形湿度指数 (TWI) 和规范差异植被指数 (NDVI).
- 使用曲线下的面积 (AUC) 方法验证的洪水易感性地图,其中70%的洪水数据用于绘制地图,30%用于验证.
主要成果:
- 开发了奈大都会城市化流域的洪水易感性地图.
- 频率比率 (FR) 和证据权重 (WOE) 值分别为0.806和0.865,为三个不同的洪水风险区做出贡献.
- 确定并将地区分为高,中等和低洪水风险区,突出城市化的影响.
结论:
- 该研究成功地划定了城市化水域的洪水易感区.
- 这些发现为城市规划者和政策制定者提供了关键的见解,以开发有效的防洪准备和缓解系统.
- 实施这些发现可以帮助减少与城市洪水相关的经济,人力和财产损失.
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