在印度甘达克下游盆地使用形态测量复合因子和低度测量积分来评估洪水危险,印度
Sunil Kumar Patel1, Parthapratim Ghosh1, Dev Sen Gupta2
1Department of Geology, Institute of Science, Banaras Hindu University, Varanasi, 221005, U.P, India.
Environmental monitoring and assessment
|September 8, 2025
概括
这项研究确定了印度易受洪水袭击的地区.
科学领域:
- 水文和远程传感技术
- 地质形态学和灾害管理
背景情况:
- 洪水等灾难性气候事件对基础设施,农业和经济造成重大损害.
- 印度甘达克河下游流域,特别是比哈尔,由于严重的洪水而每年面临损失.
- 地理空间技术对于识别易受洪水影响的区域和有效的洪水管理至关重要.
研究的目的:
- 量化分析甘达克河下游流域35个分流域的形态学和形态构造学特征.
- 通过使用地理空间技术和复合因子权重来识别和分类易受洪水影响的区域.
- 为洪水易受影响的地区提供有效的流域管理和缓解策略的见解.
主要方法:
- 利用高分辨率的ALOS DEM数据进行子流域的定量分析.
- 应用的复合因子权重来源于对17个参数的形态学分析.
- 采用统计分析,层次集群分析和复合因子分析进行分类和验证.
主要成果:
- 分类子流域分为高度 (26.24-24.00),中度 (23.18-21.12),轻度 (20.94-18.29) 的洪水易感类别.
- 确定了特定的分流域 (例如2,4,6-9,11,12,13) 具有高度侵蚀和破坏潜力.
- 强调需要在高度敏感的区域采取有针对性的缓解措施,以最大限度地减少对生命和牲畜的影响.
结论:
- 高度敏感的分流域需要立即和加强的缓解策略.
- 在所有易感类别中实施缓解技术对于防止生命和牲畜损失至关重要.
- 该研究的结果直接适用于改善洪水易发地区的流域管理.
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