Scholarlink

<p>Extreme flood events severely compromise reservoir capacity, posing a critical challenge for sustainable water resource management. This study aimed to accurately quantify reservoir capacity loss from high-magnitude flood events and assess their disproportionate impact. We developed and validated an integrated framework combining stream gauging and satellite remote sensing (Landsat 7 ETM + with dynamic thresholding), applied to the Ukai Reservoir’s August 2006 mega-flood. Our approach revealed a substantial capacity loss, approximately 4.6 times its average annual sedimentation rate. The framework’s accuracy was confirmed through rigorous validation and high cross-methodology agreement. Unexpected erosional patterns at higher elevations were also identified, contributing to a nuanced understanding of reservoir geomorphology. This research provides a robust tool for event-scale sedimentation assessment, crucial for adaptive management and policy in the face of increasing hydroclimatic variability.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Analysing Mega Flood Event in the Tapi Basin: A Framework for Sustainable Reservoir Sediment Management

  • 期刊论文

  • 发表日期：

    2025年9月9日

查看全文
  • Yazad Jabbar,
  • Sanjaykumar Yadav

摘要

Extreme flood events severely compromise reservoir capacity, posing a critical challenge for sustainable water resource management. This study aimed to accurately quantify reservoir capacity loss from high-magnitude flood events and assess their disproportionate impact. We developed and validated an integrated framework combining stream gauging and satellite remote sensing (Landsat 7 ETM + with dynamic thresholding), applied to the Ukai Reservoir’s August 2006 mega-flood. Our approach revealed a substantial capacity loss, approximately 4.6 times its average annual sedimentation rate. The framework’s accuracy was confirmed through rigorous validation and high cross-methodology agreement. Unexpected erosional patterns at higher elevations were also identified, contributing to a nuanced understanding of reservoir geomorphology. This research provides a robust tool for event-scale sedimentation assessment, crucial for adaptive management and policy in the face of increasing hydroclimatic variability.