摘要
面雨量是考虑降雨空间异质性下城市降雨径流模拟不可或缺的输入数据,而面雨量推求与雨量站点特征、推求方法以及地形等因素密切相关。为量化分析雨量站点特征和空间插值方法对面雨量推求的影响,以典型山地城市重庆市为例,设置6种站点密度,利用最邻近指数评价站点空间特征,并探究6种空间插值方法对城市不同降雨等级下面雨量计算的适用性。结果表明:随着雨量站点密度增大,面雨量推求误差呈下降趋势,且降雨等级越高,雨量站点密度对面雨量推求的影响越显著;当雨量站点数量小于25时,面雨量模拟误差基本呈现随站点空间分布均匀程度增大而增大的趋势,但当站点数量达到25后,站点分布越均匀,误差越小;东北部山区面雨量采用反距离权重法和径向基函数法模拟时误差较小,而普通克里金法对东南部面雨量模拟更为准确,从降雨空间分布特征的表现能力来看,径向基函数法是最适宜重庆市的面雨量插值方法,尤其在山区表现出良好的模拟效果。研究成果可为不同降雨等级下雨量站点数据和面雨量推求方法的选择提供参考。
Areal rainfall is an indispensable input data for urban rainfall runoff simulation,considering the spatial heterogeneity of rainfall.And areal rainfall is closely related to rainfall station characteristics,calculation methods,and topography.To quantify the influence of rainfall station characteristics and spatial interpolation methods on areal rainfall calculation,Chongqing City,a typical mountain city,was selected as the study area,and six densities of rainfall stations were chosen.The spatial characteristics of rainfall stations were evaluated using the nearest neighbour index,and six spatial interpolation methods were used to assess their suitability for rainfall interpolation across different grades of precipitation.The results showed that with the increasing density of the rainfall stations,the error in areal rainfall calculation decreased.As the rainfall grade increased,the influence of rainfall station density on areal rainfall calculation became increasingly significant.When the number of rainfall stations was less than 25,the simulation error generally increased as the uniform spatial distribution of stations increased.As the number of rainfall stations reached 25,the more evenly station distributed,the smaller errors was.The Inverse Distance Weighted method and Radial-Basis Function method had less error in simulating areal rainfall in the northeastern mountains,while the Ordinary Kriging method was more accurate for simulating areal rainfall in the southeast.From the perspective of the describing ability of spatial distribution characteristics of rainfall,the Radial Basis Function method was the most suitable method for interpolation of areal rainfall in Chongqing City,especially in the mountainous areas.The results will provide a reference for selecting rainfall station data and areal rainfall calculation methods under different rainfall grades.
作者
庄子孟
张伟
刘方华
孔烨
孙慧超
ZHUANG Zimeng;ZHANG Wei;LIU Fanghua;KONG Ye;SUN Huichao(Beijing Engineering Research Center of Sustainable Urban Sewage System Construction and Risk Control,Beijing University of Civil Engineering and Architecture,Beijing 100044,China;Key Laboratory of Urban Stormwater System and Water Environment of Ministry of Education,Beijing University of Civil Engineering and Architecture,Beijing 100044,China;Beijing Energy Conservation&Sustainable Urban and Rural Development Provincial and Ministry Co-Construction Collaboration Innovation Center,Beijing University of Civil Engineering and Architecture,Beijing 100044,China;Luzhou Housing and Urban-Rural Development Bureau,Luzhou 646000,China;CAUPD Beijing Planning&Design Consultants Co.,Ltd.,Beijing 100044,China)
出处
《人民长江》
北大核心
2024年第11期127-137,共11页
Yangtze River
基金
国家重点研发计划项目(2022YFC3800500)
泸州市海绵城市科研课题研究项目(N5105012022000106)
北京市属高等学校高水平科研创新团队建设支持计划项目(BPHR20220108)
北京建筑大学培育项目专项资金项目(X23047)。
关键词
面雨量
降雨空间分布
降雨等级
雨量站点
地形
空间插值方法
重庆市
areal rainfall
spatial distribution of rainfall
grade of precipitation
rainfall station
topography
spatial interpolation method
Chongqing City