Analysis and calculation on probable maximum precipitation of a coastal nuclear power plant
ZHAO Liping1,2, XING Xigang3, LIU Xichen1,2, HE Xiaoyan1,2, REN Minglei1,2
1. China Institute of Water Resources and Hydropower Research, Beijing 100038; 2. Research Center on Flood and Drought Disaster Reduction of the Ministry of Water Resources, Beijing 100038; 3. General Institute of Water Resources and Hydropower Planning and Design, Ministry of Water Resources, Beijing 100120
摘要可能最大降雨(Probable Maximum Precipitation,PMP)是评价核电厂防洪安全和排水系统设计的重要参数。在分析山东省某滨海核电厂厂址区域暴雨特性和天气成因的基础上,采用当地暴雨放大方法(水汽放大法和水汽效率放大法)和暴雨移置放大法推求出厂址24 h PMP。通过计算方案的合理性检查,对比山东省可能最大24 h点降雨量等值线图和其他核电厂工程24 h PMP成果,经综合分析确定该厂址24 h PMP为1 100.0 mm,研究成果可为全国类似流域的PMP研究提供参考和借鉴。
Abstract:Probable maximum rainfall (PMP) is one of the important parameters for flood safety and drainage system design of nuclear power plants. Based on the analysis of rainstorm characteristics and weather cause in the coastal nuclear power plant, the 24 h PMP of the plant site was calculated by using the local rainstorm amplification method (vapor amplification method and vapor efficiency amplification method) and the displacement rainstorm amplification method. After checking the rationality of the calculation method for the analysis, the comparison of calculation results with the measured data and similar nuclear plant projects, the result has been recommended as the PMP of the project. Through the rationality check of the calculation scheme, and comparison with the possible maximum 24 h rainfall contour map of Shandong Province and the 24 h PMP results of other nuclear power plant projects, the 24 h PMP of the site was determined to be 1 100 mm. The research results can provide reference for PMP research in similar watersheds in China.
赵丽平, 邢西刚, 刘希琛, 何晓燕, 任明磊. 山东省某滨海核电厂可能最大降雨分析计算[J]. 中国防汛抗旱, 2023, 33(10): 68-72,84.
ZHAO Liping, XING Xigang, LIU Xichen, HE Xiaoyan, REN Minglei. Analysis and calculation on probable maximum precipitation of a coastal nuclear power plant. journal1, 2023, 33(10): 68-72,84.