基于不同频率分布的乐山市暴雨参数分析  被引量:1

Analysis of Rainstorm Parameters in Leshan City Based on Different Frequency Distribution

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作  者:杨译舒 叶兴成[2] 王飞[2] 朱程亮 游志康 欧淑芳[1] 刘俊[1] YANG Yishu YE Xingcheng WANG Fei ZHU Chengliang YOU Zhikang OU Shufang LIU Jun(College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China Suqian Water Authority, Suqian 223800, China)

机构地区:[1]河海大学水文水资源学院,江苏南京210098 [2]宿迁市水务局,江苏宿迁223800

出  处:《灾害学》2017年第4期214-218,共5页Journal of Catastrophology

基  金:国家自然科学基金资助项目(41471015)

摘  要:利用四川省乐山市气象站1981-2015年短历时暴雨雨量资料,采用年最大值法选样推求暴雨公式,分析皮尔逊-Ⅲ型分布曲线、耿贝尔分布曲线、指数分布曲线三种频率分布曲线模型与原始暴雨资料的适配性,并对不同频率分布的暴雨参数进行分析。结果表明三种频率分布曲线导出的暴雨公式在计算重现期为2-20年时,仅耿贝尔分布曲线符合精度要求。将新编的暴雨公式与现行暴雨公式、周边城市暴雨公式及《中国暴雨统计参数图集》进行了对比分析,新一代乐山市暴雨公式参数合理性得以验证,为乐山市排水系统的优化设计、排水管网建设与改造提供了新的理论参考。Based on the data of short rainstorm rainfall from 1981 to 2015 in Leshan City,Sichuan Province,the annual maximum value method was used to calculate the rainstorm formula,and analyzed the three frequency distribution curves of Pearson-Ⅲ distribution curve,Gumbel distribution curve and exponential distribution curve to research on the adaptability of the three kinds of frequency distribution curve model and the original rainstorm data.The rainstorm parameters of different frequency distributions are also analyzed. The results show that the average absolute variance of the Gumbel distribution curve is less than 0. 05mm/min and the average relative variance is less than 5% when the calculated recurrence period is 2-20 a,which accords with the accuracy requirement. The new rainstorm formula and the current rainstorm formula,the surrounding city rainstorm formula and the "Chinese rainstorm statistics parameter Atlas"were compared,and the rationality of the new generation of Leshan city rainstorm formula parameters is validated. It provides a new theoretical reference for the optimal design of drainage system in Leshan City and the construction and reconstruction of drainage pipe network.

关 键 词:暴雨强度公式 皮尔逊-Ⅲ型分布曲线 耿贝尔分布曲线 指数分布曲线 暴雨参数 四川乐山市 

分 类 号:P426.6[天文地球—大气科学及气象学] X43[环境科学与工程—灾害防治]

 

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