摘要
以1991—2016年共26 a的年最大时段降雨量作为样本值,利用皮尔逊-Ⅲ型(P-Ⅲ型)分布频率曲线对统计样本进行拟合,分别采用群居蜘蛛算法(SSO)和最小二乘法(LS)对暴雨强度公式进行推求,并进行精度检验。结果表明,SSO算法推求的暴雨强度公式精度高于LS算法。
The data of a total of 26 years from 1991 to 2016 in a region of Gansu are collected.The annual maximum rainfall of 26 years is used as the sample values,and the statistical samples are fitted with the distribution curve of Pearson-Ⅲtype(P-Ⅲ)distribution.The social spider optimization algorithm and the least square method are used respectively to calculate the rainstorm intensity formula,and the accuracy test is carried out.The results show that the precision of the rainstorm intensity formula proposed by the social spider optimization algorithm is higher than the least square method.
作者
苍隋鑫
雷冠军
梁云
王铁
CANG Suixin;LEI Guanjun;LIANG Yun;WANG Tie(Daqing Hydrology Bureau,Heilongjiang Province,Daqing 163000,China;China Institute of Water Resources and Hydropower Research,Beijing 100038,China)
出处
《人民珠江》
2019年第1期47-51,共5页
Pearl River
基金
国家重点研发计划(2016YFC0401808)
关键词
暴雨强度公式
群居蜘蛛优化算法
最小二乘法
rainstorm intensity formula
social spider optimization algorithm
least square method
