城市绿地产流影响因素与径流系数取值的多方法比较

王思思; 侯爽; 王榕

doi:10.13205/j.hjgc.202112013

城市绿地产流影响因素与径流系数取值的多方法比较

doi: 10.13205/j.hjgc.202112013

王思思^1,2,3,4,
侯爽^1,2, ,,
王榕^1,2

1. 北京建筑大学城市雨水系统与水环境教育部重点实验室, 北京 100044;
2. 北京建筑大学环境与能源工程学院, 北京 100044;
3. 北京建工建筑设计研究院, 北京 100044;
4. 北京市可持续城市排水系统构建与风险控制工程技术研究中心, 北京 100044

基金项目:

国家自然科学基金项目(31870704)

北京建筑大学基础研究基金(XJ2020002002)。

详细信息

作者简介:
王思思(1983-),女,副教授,主要从事城市绿色雨水基础设施方面的研究。wangsisi@bucea.edu.cn

通讯作者:
侯爽(1995-),女,硕士研究生,主要研究方向为城市水环境科学与系统工程。283241004@qq.com

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出版历程
- 收稿日期: 2020-12-07
- 网络出版日期: 2022-03-30
- 刊出日期: 2022-03-30

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

WANG Si-si^1,2,3,4,
HOU Shuang^{1,2
, ,},
WANG Rong^1,2

1. Key Laboratory of Urban Stormwater System and Water Environment, Beijing University of Civil Engineering and Architecture, Beijing 100044, China;
2. School of Environment and Energy Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China;
3. Beijing Jiangong Architectural Design and Research Institute, Beijing 100044, China;
4. Beijing Engineering Research Center of Sustainable Urban Sewage System Construction and Risk Control, Beijing 100044, China

摘要

摘要: 为明确城市绿地产流过程的影响因素,比较不同径流系数计算方法的原理和特征,以北京城市绿地为例,采用理论计算、模型模拟和试验实测3类方法,比较KW(kinematic wave)方程、SCS-CN(soil conservation service curve number)算法、Hydrus-1D模型和试验测试4种方式,定量分析在不同降雨、土壤、地形条件下的产流过程、影响因素及其对应的径流系数。研究表明,降雨量(重现期)、雨型、土壤物理性质(渗透性、前期湿润程度等)、绿地坡度等因素对产流过程有较大影响,不同条件和算法下绿地径流系数取值为0~0.53。建议在工程应用中,应结合场地条件和设计目标,选择适宜的径流系数确定方法和模型参数。研究成果可为我国城市绿地的径流系数研究提供参考。
- 城市绿地 /
- 径流系数 /
- kinematicwave /
- SCS-CN /
- Hydrus-1D
Abstract: 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.
- urban green space /
- runoff coefficient /
- kinematic wave /
- SCS-CN /
- Hydrus-1D

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