Scholarlink

Abstract <p>Assessing river morphological evolution is crucial for sustainable water resource management, particularly in rivers heavily impacted by anthropogenic interventions. This study investigates the Krong No River downstream of the Buon Tua Srah hydropower dam (Vietnam), where riverbed morphology has been significantly modified by reservoir operation and intensive sand mining. The HEC-RAS model was calibrated using field survey data from 2020 to 2023 for both the hydrodynamic and sediment transport modules. A novel finding reveals an approach to quantify the relative contributions of these factors to riverbed morphology. The results indicate that sand mining acts as the dominant driver, as riverbed changes closely match the combined impact scenario, with a small Mean Absolute Error index of only 0.12 m. Meanwhile, reservoir operations exert influence only within a limited area near the dam. Within this zone, if combined with sand mining activities, severe riverbed erosion can occur. Building upon these mechanistic insights, we propose an adaptive management framework that integrates sediment budget analysis and spatially constrained mining zones. This methodology offers a transferable solution for regulated river systems across diverse geographical contexts.</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

Evaluating Morphological Dynamics in the Krong No River under Anthropogenic Influences

  • 期刊论文

  • 发表日期：

    2026年5月4日

查看全文
  • Nguyen Thi Luong Hang,
  • Tran Kim Chau,
  • Nguyen The Toan,
  • Vu Thi Minh Hue,
  • Nguyen Tien Thanh

摘要

Abstract

Assessing river morphological evolution is crucial for sustainable water resource management, particularly in rivers heavily impacted by anthropogenic interventions. This study investigates the Krong No River downstream of the Buon Tua Srah hydropower dam (Vietnam), where riverbed morphology has been significantly modified by reservoir operation and intensive sand mining. The HEC-RAS model was calibrated using field survey data from 2020 to 2023 for both the hydrodynamic and sediment transport modules. A novel finding reveals an approach to quantify the relative contributions of these factors to riverbed morphology. The results indicate that sand mining acts as the dominant driver, as riverbed changes closely match the combined impact scenario, with a small Mean Absolute Error index of only 0.12 m. Meanwhile, reservoir operations exert influence only within a limited area near the dam. Within this zone, if combined with sand mining activities, severe riverbed erosion can occur. Building upon these mechanistic insights, we propose an adaptive management framework that integrates sediment budget analysis and spatially constrained mining zones. This methodology offers a transferable solution for regulated river systems across diverse geographical contexts.