洪水基流分割非参数检验方法优选
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P333

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江西省教育厅科技项目(GJJ171005,GJJ170980);江西省重点规划水利科技项目(KT201726);国家自然科学基金(41761058)


Optimization of nonparametric test methods for flood baseflow separation
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    摘要:

    基于江西省萍乡市五丰河流域2016—2018年实测场次洪水数据和直线斜割法所得基流流量,对比分析累积距平法、Pettitt法、滑动T检验法和Mann-Kendall检验法应用于基流分割的适用性和准确性,选择集对分析法为优选非参数检验方法。结果表明:海绵城市建设后(2018年)相对建设前(2016年)标准退水曲线基流流量增加65.2%,地下径流量增加47.3%,地下径流量占径流总量比例增加53%。Pettitt法与直线斜割法所得基流流量相对误差最小,年均相对误差为1.7%;变差系数年均相对误差最小,为5%;集对分析联系度最大,为0.81。Pettitt方法是检验海绵城市直接地表和地下二元径流成分转化的最适非参数检验法。

    Abstract:

    Based on the measured flood data from 2016 to 2018 in the Wufeng River Basin in Pingxiang City, Jiangxi Province and the baseflow rate obtained by the baseflow straight bevel cutting method, the applicability and accuracy of baseflow separation using test methods of cumulative anomaly, Pettitt, sliding T and Mann-Kendall were compared. Optimization of nonparametric tests by set pair analysis was selected. The results showed that, compared with the pre-construction of sponge city(2016), the baseflow of the standard recession curve increased by 65. 2%, the underground runoff increased by 47. 3%, the proportion of underground runoff to the total runoff increased by 53% after the construction of sponge city(2018). The relative error of baseflow obtained by the Pettitt method and straight bevel cutting method was the smallest, with an average annual relative error of 1. 7%; the relative error of variation coefficient is the smallest, which is 5%; and the connection degree obtained by set pair analysis is the highest, which is 0. 81. The Pettitt method is the most suitable non-parametric test method for testing the conversion of direct surface and underground binary runoff components in sponge city.

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冷梦辉,白桦,李二辉,等.洪水基流分割非参数检验方法优选[J].水资源保护,2021,37(4):82-88.(LENG Menghui, BAI Hua, LI Erhui, et al. Optimization of nonparametric test methods for flood baseflow separation[J]. Water Resources Protection,2021,37(4):82-88.(in Chinese))

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  • 在线发布日期: 2021-07-21
  • 出版日期: 2021-07-20