基于RECARGA模型生物滞留池设计参数的水文效应

涂安国; 李英; 莫明浩; 聂小飞

doi:10.13870/j.cnki.stbcxb.2020.01.022

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基于RECARGA模型生物滞留池设计参数的水文效应

更新时间：2025-03-12

- 基于RECARGA模型生物滞留池设计参数的水文效应
- Hydrological Effects of Design Parameters Optimization of Bioretention Facility Based on RECARGA Model
- 水土保持学报 2020年34卷第1期页码：149-153
- 作者机构：
  
  1. 江西省土壤侵蚀与防治重点实验室,南昌,330029
  2. 江西省水土保持科学研究院,南昌,330029
- 作者简介：
- 基金信息：
  
  江西省重点研发计划项目（20161BBG70087，20171BBG70076）江西省水利科技项目（KT201722，201820YBKT18，201820YBKT17）
- DOI：10.13870/j.cnki.stbcxb.2020.01.022
  中图分类号： TV121
- 纸质出版：2020
- 稿件说明：
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涂安国, 李英, 莫明浩, 等. 基于RECARGA模型生物滞留池设计参数的水文效应[J]. 水土保持学报, 2020,34(1):149-153.

TU Anguo, LI Ying, MO Minghao and NIE Xiaofei. Hydrological Effects of Design Parameters Optimization of Bioretention Facility Based on RECARGA Model[J]. 2020, 34(1): 149-153.
涂安国, 李英, 莫明浩, 等. 基于RECARGA模型生物滞留池设计参数的水文效应[J]. 水土保持学报, 2020,34(1):149-153. DOI： 10.13870/j.cnki.stbcxb.2020.01.022.

TU Anguo, LI Ying, MO Minghao and NIE Xiaofei. Hydrological Effects of Design Parameters Optimization of Bioretention Facility Based on RECARGA Model[J]. 2020, 34(1): 149-153. DOI： 10.13870/j.cnki.stbcxb.2020.01.022.

摘要

为探讨运用数学模型进行生物滞留池构型和参数优化设计的方法，以RECARGA模型为工具，评估生物滞留池的设计参数和结构改变的径流水文调节效果，定量分析设计参数与水文性能的关系，从而确定适宜的生物滞留池配置方法。结果表明：设施底层土壤导水率是整个滞留系统水文性能的限制因素，年雨水滞留量随土壤导水率的增加呈显著的对数函数增加。雨水滞留率与设施表面积比率有着显著的对数函数关系。雨水滞留量与蓄水层厚度呈显著的幂函数关系，而与根系层和贮水层厚度呈良好的线性关系；考虑排水因素，蓄水层深度建议不宜大于15 cm。研究结果可为生物滞留池的科学设计提供理论依据。

Abstract

Bioretention facilities are one of the effective measures for rainwater management with low impact development. In order to explore the method of optimizing the configuration and parameters of biological facilities by using mathematical models

the RECARGA model was used to evaluate the hydrological regulation effect of the changes of design parameters and structure of biological detention facilities

and to quantitatively analyze the relationship between design parameters and hydrological performance

so as to determine the appropriate method of setting biological detention pools. The results showed that the soil hydraulic conductivity at the bottom of the facility was a limiting factor for the hydrological performance of the whole system

and the annual rainfall retention increased with the increase of soil hydraulic conductivity in a significant logarithmic function. There was a significant logarithmic function relationship between rainfall retention rate and facility surface area ratio. Rainwater retention had a significant power function relationship with depression zone thickness

and a good linear relationship with root layer and storage layer thickness. Considering drainage time factors

the depth of depression zone should not be greater than 15 cm. These research results could provide a theoretical basis for the scientific design of bioretention facilities structure.

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