文章摘要
陈桂煌, 谭 倩, 朱志华, 蔡宴朋, 王淑萍.自然状态下流域洪峰对降雨时空异质性的响应规律Journal of Water Resources and Water Engineering[J].,2022,33(5):88-95
自然状态下流域洪峰对降雨时空异质性的响应规律
Flood peak response to the spatial and temporal heterogeneity of rainfall under natural conditions
  
DOI:10.11705/j.issn.1672-643X.2022.05.11
中文关键词: 降雨时空异质性  流域洪峰  洪水频率分析  RainyDay  SWAT
英文关键词: spatial and temporal heterogeneity  flood peak of basin  flood frequency analysis  RainyDay  soil and water assessment tool (SWAT)
基金项目:国家自然科学基金项目(52125902、52009021);南方海洋科学与工程广东省实验室(广州)人才团队引进重大专项(GML2019ZD0403)
Author NameAffiliation
CHEN Guihuang1, TAN Qian1,2, ZHU Zhihua2, CAI Yanpeng1,2, WANG Shuping3 (1. 广东工业大学 生态环境与资源学院 大湾区城市环境安全与绿色发展教育部重点实验室 广东 广州 5100062.南方海洋科学与工程广东省实验室(广州) 广东 广州 511458 3.中国农业大学 水利与土木工程学院 北京 100083) 
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中文摘要:
      针对自然状态下降雨时空异质性如何影响流域洪峰的难题,提出了基于RainyDay模型和SWAT模型的洪水频率分析方法。以东江流域为例,利用RainyDay模型构建不同重现期下的设计降雨,并将其重构为6种不同降雨时空异质性的降雨情景,将上述情景作为SWAT模型前端输入,定量模拟自然状态下流域洪峰对降雨时空异质性的响应。结果表明:当情景间的时间异质性差值趋于0时,随着情景间的空间异质性差值的增加,洪峰差值随之增大,最大洪峰差值超过700 m3/s,平均洪峰差值超过300 m3/s;当情景间的空间异质性差值趋于0时,随着情景间的时间异质性差值的增加,洪峰差值随之增大,最大洪峰差值接近700 m3/s,平均洪峰差值超过200 m3/s;在同一重现期下,降雨时空异质性均较高的情景所产生的洪峰高于其他情景,最大洪峰差值超过1 000 m3/s;降雨空间异质性对洪峰的影响较时间异质性更为显著。
英文摘要:
      To solve the problem of the adverse influence of rainfall spatiotemporal heterogeneity on flood peak in the basin under natural conditions, a flood frequency analysis method is proposed based on the combination of RainyDay and SWAT model. Taking the Dongjiang River Basin as an example, the design rainfall of the basin under different return periods is proposed using RainyDay model, and then reconstructed into six rainfall scenarios with different temporal and spatial heterogeneity. Finally, the above scenarios are used as input in the SWAT model to quantitatively simulate the response of the flood peaks of the basin to the spatial and temporal heterogeneity of rainfall under natural conditions. It is found that when the difference of temporal heterogeneity between two scenarios is narrowing down to zero, the difference between the flood peaks increases with the increase of spatial heterogeneity, with the maximum value exceeding 700 m3/s and the average value exceeding 300 m3/s. Whereas when the difference of spatial heterogeneity between two scenarios is narrowing down to zero, the difference between the flood peaks increases with the increase of temporal heterogeneity, with the maximum value approaching 700 m3/s and the the average value exceeding 200 m3/s. Under the same return period, the flood peaks generated by the scenarios with high spatiotemporal heterogeneity of rainfall are higher than that of the other scenarios, and the maximum difference between the flood peaks exceeds 1, 000 m3/s. The influence of spatial heterogeneity of rainfall on flood peaks is more significant than that of temporal heterogeneity.
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