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

在线阅读下载全文

作  者:王俊[1] 贾菁菁 王家昌 曹升乐[1] 潘鑫 陈耀著 Wang Jun;Jia Jingjing;Wang Jiachang;Cao Shengle;Pan Xin;Chen Yaozhu(School of Civil Engineering,Shandong University,Jinan 250061,China)

机构地区:[1]山东大学土建与水利学院,山东济南250061

出  处:《市政技术》2024年第12期1-7,38,共8页Journal of Municipal Technology

基  金:国家自然科学基金项目(52109025);山东省自然基金(ZR2021QE001);山东大学青年学者未来计划项目(31410082164087)。

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。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 example,the results of the proposed model based on the coupled runoff mechanism was compared with the those obtained 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 

分 类 号:TU992[建筑科学—市政工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象