Modeling stormwater runoff of urban green space with HYDRUS-1D

The stormwater runoff of urban green space was studied by HYDRUS-1D model. The influence of important factors such as rainfall intensity, initial soil moisture content and soil texture on the reduction of stormwater runoff was quantitatively analyzed. The L9 (34) orthogonal experiment was conducted to validate the results of stormwater runoff and water content of urban greenbelt simulated by HYDRUS-1D model. The determination coefficient (R2) of moisture content and stormwater runoff are 0.816 and 0.988, respectively. The root mean square error (RMSE) of water content and stormwater runoff are less than 0.02619cm3·cm-3 and 10.265L, respectively. The volumetric runoff coefficient (VRC) and rainfall intensity are logarithmic correlation (R2 = 0.967). The VRC and initial moisture content are linear correlation (R2 = 0.993). It was found that the VRC of urban green land is increased as the rainfall intensity or initial water content is increased. The VRC of sand loam is much lower than that of silt and loam. By comparing with the experimental results, it was also concluded that HYDRUS-1D model is reasonable and reliable to predict the stormwater runoff of urban green space. © Sila Science.