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    王帅人,兰平,覃光华,等. 四川省小时极值降水频率线型分布特征研究[J]. 中国防汛抗旱,2024,34(7):18−22. DOI: 10.16867/j.issn.1673-9264.2024192
    引用本文: 王帅人,兰平,覃光华,等. 四川省小时极值降水频率线型分布特征研究[J]. 中国防汛抗旱,2024,34(7):18−22. DOI: 10.16867/j.issn.1673-9264.2024192
    WANG Shuairen,LAN Ping,QIN Guanghua,et al.Study on the linear distribution characteristics of hourly extreme rainfall frequency in Sichuan Province[J].China Flood & Drought Management,2024,34(7):18−22. DOI: 10.16867/j.issn.1673-9264.2024192
    Citation: WANG Shuairen,LAN Ping,QIN Guanghua,et al.Study on the linear distribution characteristics of hourly extreme rainfall frequency in Sichuan Province[J].China Flood & Drought Management,2024,34(7):18−22. DOI: 10.16867/j.issn.1673-9264.2024192

    四川省小时极值降水频率线型分布特征研究

    Study on the linear distribution characteristics of hourly extreme rainfall frequency in Sichuan Province

    • 摘要: 以1961—2021年四川省1 h、3 h降水极值数据为研究资料,采用地区线性矩法对四川省极值降水进行频率分析计算,结果表明,四川省1 h、3 h的最适线型分布具有相似性,川西高原与攀西地区的最适线型多为广义极值分布(GEV),四川盆地青衣江暴雨区最适线性为广义正态分布(GLO);盆地环山地区不同时段均包含GEV、GLO、广义正态分布(GNO)3种线型,GLO在计算极值降雨时更具优势。研究结果在四川省中小流域山洪预报预警的防御工作中具有重要参考价值。

       

      Abstract: Based on the 1 h and 3 h extreme rainfall data of Sichuan Province from 1961 to 2021, the frequency analysis and calculation of the extreme rainfall in Sichuan Province are carried out by using the regional linear matrix. The results show that the optimal linear distribution of the 1 h and 3 h extreme rainfall in Sichuan Province is similar. The optimal linear distribution of the western Sichuan Plateau and the Panxi region is mostly generalized extreme value distribution, and the optimal linear distribution of the Qingyi River rainstorm region in Sichuan Basin is generalized normal distribution; The basin surrounding mountainous areas at different time periods contain three types of linear patterns: GEV, GLO, and generalized normal distribution. The distribution of GLO is more advantageous in calculating extreme rainfall. The research results of this article have important reference in the defense of mountain flood forecasting and early warning in small and medium-sized watersheds in Sichuan Province.

       

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