市政技术2024,Vol.42Issue(12) :1-7,38.DOI:10.19922/j.1009-7767.2024.12.001

基于概率解析模型的生物滞留池性能评估

Performance Evaluation of Bioretention Ponds Based on Analytical Probabilistic Model

王俊 贾菁菁 王家昌 曹升乐 潘鑫 陈耀著
市政技术2024,Vol.42Issue(12) :1-7,38.DOI:10.19922/j.1009-7767.2024.12.001

基于概率解析模型的生物滞留池性能评估

Performance Evaluation of Bioretention Ponds Based on Analytical Probabilistic Model

王俊 1贾菁菁 1王家昌 1曹升乐 1潘鑫 1陈耀著1
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作者信息

  • 1. 山东大学土建与水利学院,山东济南 250061
  • 折叠

摘要

提出了一种生物滞留池概率解析模型,用于快速评估其径流控制性能.该模型综合考虑了蓄满产流和超渗产流2种模式,克服了传统概率解析模型仅考虑蓄满产流模式导致生物滞留池径流削减率被高估的缺点.以北京地区为例,将基于综合产流的概率解析模型与传统概率解析模型以及SWMM模拟结果进行对比,显示出良好的可靠性.不同设计工况条件下的模拟结果表明,土壤下渗率、土壤层厚度和蓄水层厚度等因素均会影响生物滞留池径流控制性能.基于综合产流的概率解析模型还能计算生物滞留池的多年平均含水率,根据其缺水状态判断其配置是否合理,从而为生物滞留池的规划和设计提供科学依据.

Abstract

An analytical probabilistic model for bioretention ponds is proposed for quickly evaluating the system's runoff control performance.Both saturation-excess and infiltration-excess runoff are considered,which overcomes the limitation of the traditional analytical probabilistic method,which only considers the saturation-excess runoff process so that runoff reduction rate may be overestimated.Taking the bioretention pond design in Beijing as an ex-ample,the results of the proposed model based on the coupled runoff mechanism was compared with the those ob-tained from the traditional analytical probabilistic model and SWMM to show that the proposed model is reliable.Under different design conditions,simulation results show that the system's runoff control performance is affected by all the soil infiltration rate of the storage layers,the thickness of the soil layer and the storage layer,and other factors.In addition,the proposed model can be used for estimating the long-term average water storage occupancy of the bioretention pond.According to the water shortage condition,that the configuration is appropriate or not can be assessed to provide a scientific guidance for the planning and design of the bioretention pond.

关键词

生物滞留池/径流削减/概率解析模型/蓄满产流/超渗产流

Key words

bioretention pond/runoff reduction/analytical probabilistic model/saturation-excess runoff/infiltra-tion-excess runoff

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出版年

2024
市政技术
中国市政工程协会 北京市政路桥股份有限公司 北京市政建设集团有限责任公司 北京市市政工程研究院

市政技术

影响因子:0.385
ISSN:1009-7767
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