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.
基于特征参数的年径流总量控制率计算方法构建
- Title:
- Construction of Calculation Method of Volume Capture Ratio of Annual Rainfall Based on Characteristic Parameters
- 关键词:
- 年径流总量控制率; 无监测资料地区; 多元回归模型; InfoWorks ICM
- Keywords:
- volume capture ratio of annual rainfall; area without monitoring data; multivariate regression model; InfoWorks ICM
- 摘要:
- 年径流总量控制率是海绵城市建设效果评估的关键指标，而无监测资料地区的年径流总量控制率计算是目前评价城市或区域尺度海绵城市建设效果的难点。通过分析年径流总量控制率与区域下垫面、海绵设施建设规模的关系，以排水分区为评估单元，选取透水铺装比例、下凹绿地比例、普通绿地比例、不透水比例和调蓄容积控制比例作为反映下垫面特征和海绵设施建设规模的5个特征参数，用多元线性和多元非线性回归方法进行模拟，建立了海绵城市建设区年径流总量控制率回归模型，并在北京市典型区域进行了验证。结果表明，排水分区的年径流总量控制率与各下垫面、海绵城市特征参数均有较好的相关关系，多元非线性回归方法的拟合结果优于多元线性回归方法；经有监测数据的排水分区验证，回归模型的模拟计算结果与实测结果匹配较好，误差范围为0.2%~1.3%，可用于无监测资料区域年径流总量控制率的计算。
- 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.
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