Assessment of the Flood Control Capacity of Large Regulated Lakes Using an Enhanced 2D Hydrodynamic Model
This study addresses the technical gaps in current flood simulation for regulated lakes, such as insufficient accuracy in simulating complex gate and dam operation processes and low computational efficiency that fails to meet practical engineering needs. By employing an improved two-dimensional (2D) hydrodynamic model, it systematically analyzes flood control strategies for large regulated lakes. Using the August 2018 flood event for model validation, the final simulation results indicate that the current flood control capacity meets standards for 50-year floods (Nanyang 36.79 m, Weishan 35.99 m) but fails for 100-year floods, exceeding limits by 0.23 m (Nanyang 37.22 m) and 0.15 m (Weishan 36.64 m). The designed conditions reduce 100-year flood levels to 36.98 m and 36.47 m, respectively, achieving the required flood defense standard for 100-year events. The findings provide a quantitative framework for evaluating flood control capacity across different planning scenarios, which advances flood risk management and offers implementable insights for achieving sustainable water resource management in regulated lake basins globally. This, in turn, contributes directly to two United Nations Sustainable Development Goals (SDGs): enhancing human community safety and resilience (SDG 11: Sustainable Cities and Communities) through improved flood control engineering and operations, and strengthening climate adaptation (SDG 13: Climate Action) by boosting basin-wide resilience to extreme rainfall and flooding.
Authors
- Fuxin Chai
- Ying Xiao (ORCID: https://orcid.org/0009-0002-9032-1336)
- Feng Peng (ORCID: https://orcid.org/0000-0002-3238-8818)
- Shengkai Yu (ORCID: https://orcid.org/0000-0002-6611-4508)
- Hongping Zhang
- Jia Sun
- Xiao Chengzhi
Institutions
- China Institute of Water Resources and Hydropower Research (CN)
- Anhui and Huaihe River Institute of Hydraulic Research (CN)
- West Anhui University (CN)
Publication Details
- Journal
- Sustainability
- Published
- 2025-12-05
- DOI
- https://doi.org/10.3390/su172410908
- Primary Topic
- Flood Risk Assessment and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00