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Volume 39 Issue 12
Mar.  2022
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Article Contents
WANG Si-si, HOU Shuang, WANG Rong. A MULTI-METHOD COMPARISON OF INFLUENCING FACTORS AND VALUE OF RUNOFF COEFFICIENT OF URBAN GREEN SPACE IN BEIJING[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(12): 84-90,242. doi: 10.13205/j.hjgc.202112013
Citation: WANG Si-si, HOU Shuang, WANG Rong. A MULTI-METHOD COMPARISON OF INFLUENCING FACTORS AND VALUE OF RUNOFF COEFFICIENT OF URBAN GREEN SPACE IN BEIJING[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(12): 84-90,242. doi: 10.13205/j.hjgc.202112013

A MULTI-METHOD COMPARISON OF INFLUENCING FACTORS AND VALUE OF RUNOFF COEFFICIENT OF URBAN GREEN SPACE IN BEIJING

doi: 10.13205/j.hjgc.202112013
  • Received Date: 2020-12-07
    Available Online: 2022-03-30
  • Publish Date: 2022-03-30
  • The purpose of the study is to clarify the influencing factors of urban green space runoff production process, compare the principle and characteristics of different calculation of runoff coefficient. Taking the urban green space in Beijing as an example, the study used three kinds of methods: theoretical calculation, model simulation and experimental measurement to compare KW(kinematic wave) equation, SCS-CN(soil conservation service curve number) algorithm, Hydrus-1 D model and experimental measurement, to quantitative analysis of runoff production processes, influencing factors and corresponding runoff coefficients under different rainfall, soil and topographic condition. Experiments showed that rainfall(recurrence period), rain pattern, physical properties of soil(soil permeability, pre-wetting degree, etc.) and green slope all had great influence on the runoff production process. In different conditions and algorithms, the value range of green runoff coefficient was 0~0.53. The results showed that in engineering application, the suitable method and model parameters of runoff coefficient should be selected in combination with site conditions and design objectives, which could provide references for the study of runoff coefficients of urban green space in China.
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