LUYa-jing,HUFang-xu,XIAOZhi-ming,et al.Construction of Calculation Method of Volume Capture Ratio of Annual Rainfall Based on Characteristic Parameters[J].China Water & Wastewater,2022,38(13):124-131.
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Construction of Calculation Method of Volume Capture Ratio of Annual Rainfall Based on Characteristic Parameters

China Water & Wastewater[ISSN:1000-4062/CN:12-1073/TU] volume: 第38卷 Number: 第13期 Page: 124-131 Column: Date of publication: 2022-07-01
Author(s):
LU　Ya-jing1;  HU　Fang-xu1; 2;  XIAO　Zhi-ming1; 3;  ZHANG　Shu-han1;  WANG　Li-jing1;  SHI　Xiu-fang1; 4
（1. Department for Disaster Prevention and Mitigation， Beijing Water Science and Technology Institute， Beijing 100048， China； 2. College of Hydrology and Water Resources， Hohai University， Nanjing 210098， China； 3. Shenzhen Guanghuiyuan Environment Water Co. Ltd.， Shenzhen 518003， China； 4. College of Resources Environment and Tourism， Capital Normal University， Beijing 100048， China）
Keywords:
volume capture ratio of annual rainfall;  area without monitoring data;  multivariate regression model;  InfoWorks ICM
Abstract:
The volume capture ratio of annual rainfall is a key index to evaluate the effect of sponge city construction. However, its calculation in areas without monitoring data is a bottleneck in sponge city construction effect evaluation from city or regional scale. By analyzing the relationship among volume capture ratio of annual rainfall, regional underlying surface and sponge facility construction scale, five characteristic parameters including the proportion of permeable pavement, the proportion of concave-down green space, the proportion of green space, the proportion of imperviousness and the proportion of storage volume were selected to reflect the characteristics of underlying surface and the scale of sponge facility construction in each catchment. The regression model of volume capture ratio of annual rainfall in sponge city construction area was established by using multivariate linear regression and multivariate nonlinear regression, and verified in typical areas of Beijing. There was a good correlation between the volume capture ratio of annual rainfall and each underlying surface, the characteristic parameters of sponge city. And the fitting results of multivariate nonlinear regression were better than those of multivariate linear regression. The simulation results of the regression model matched well with the actual measured results in catchments with monitoring data, and the error range was between 0.2% and 1.3%, which indicated that the regression model could be used to calculate the volume capture ratio of annual rainfall in areas without monitoring data.
Last Update: 2022-07-01