Calculation of Overtopping Risk Probability and Assessment of Risk Consequences of Cascade Reservoirs
In the case of extreme disasters such as local rainstorm and excessive flood, the safety risk analysis and prevention and control of cascade reservoirs face new challenges. Therefore, this article conducted a risk analysis based on typical watersheds and proposed a method for calculating the risk rate of overtopping in cascade reservoir groups, dynamically simulated the evolution process of overtopping floods in cascade reservoirs under different scenarios, delineated the scope of flood inundation, and evaluated the risk of overtopping of cascade reservoirs under different scenarios. Research has shown that dam failure floods in cascade reservoirs have both cumulative and cumulative effects, with scenario 3 being the most unfavorable. In scenario 3, the peak flow rates at the dam sites of each reservoir reached 24,500, 19,200, and 20,100 m3/s. According to the comprehensive risk assessment criteria, scenarios 1 and 2 are classified as moderate risks, while scenario 3 is classified as mild risk. Research has found that although the probability of dam overflow is extremely low, the high vulnerability calculated for each scenario indicates that a breach will cause significant social losses. This study can provide reference for the risk assessment of overtopping in cascade reservoirs and flood control and disaster reduction.
Authors
- Xinchun Ding (ORCID: https://orcid.org/0000-0002-2802-0412)
- Junying Chu (ORCID: https://orcid.org/0000-0001-6490-930X)
- Xinyi Ma
- Xiaojie Tang
- Mingming Jia (ORCID: https://orcid.org/0000-0002-4548-899X)
- Xin Lü (ORCID: https://orcid.org/0000-0002-8624-0464)
Institutions
- China Institute of Water Resources and Hydropower Research (CN)
Publication Details
- Journal
- Sustainability
- Published
- 2025-05-24
- DOI
- https://doi.org/10.3390/su17114839
- Primary Topic
- Reservoir Engineering and Simulation Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China