当前位置: X-MOL 学术Hydrol. Process. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Bioretention planter performance measured by lag and capture
Hydrological Processes ( IF 2.8 ) Pub Date : 2020-10-05 , DOI: 10.1002/hyp.13927
Kiera A Nissen 1 , Michael Borst 2 , Elizabeth Fassman-Beck 3
Affiliation  

Bioretention flow‐through planters manage stormwater with smaller space requirements or structural constraints associated with other forms of green infrastructure. This project monitored the hydrology of four bioretention planters at Stevens Institute of Technology to evaluate the system's ability to delay runoff and fully capture small rain events. The water depth in the outflow and the volumetric water content near the inflow were measured continuously over 15 months. Rainfall characteristics were documented from an on‐site rain gauge. This monitoring determined the time from the start of a rain event to the onset of outflow from each planter, which was defined as the lag. The initial moisture deficit (difference between pre‐event volumetric water content and maximum measured volumetric water content), approximate runoff volume, and approximate runoff volume in the first half hour were analysed to determine their effect on runoff capture and lag. During the monitoring period, 38% of observations did not produce measurable outflow. Logistic regression determined that the initial moisture deficit and approximate runoff volume were statistically significant in contributing to a fully captured storm. Despite the large hydraulic loading rate and concrete bottom, the planters demonstrate effective discharge lag, ranging from 5 to 1,841 min with a median of 77.5 min. Volumetric water content of the media and inlet runoff volume in the first half hour were significant in modelling the lag duration. These results represent a combination of controllable and uncontrollable aspects of green infrastructure: media design and rainfall.

中文翻译:


通过滞后和捕获测量生物滞留播种机性能



生物滞留流通式花盆以较小的空间需求或与其他形式的绿色基础设施相关的结构限制来管理雨水。该项目监测了史蒂文斯理工学院四个生物滞留种植园的水文状况,以评估该系统延迟径流和充分捕获小雨事件的能力。在 15 个月内连续测量了出水口的水深和入水口附近的体积含水量。降雨特征由现场雨量计记录。该监测确定了从降雨事件开始到每个播种机开始流出水的时间,该时间被定义为滞后。分析初始水分亏缺(事件前体积含水量与最大测量体积含水量之间的差)、近似径流体积和前半小时的近似径流体积,以确定它们对径流捕获和滞后的影响。在监测期间,38%的观察结果没有产生可测量的流出。逻辑回归确定初始水分亏缺和近似径流量对于完全捕获风暴的贡献具有统计显着性。尽管具有较大的水力负载率和混凝土底部,但播种机仍表现出有效的排放滞后,范围为 5 至 1,841 分钟,中位数为 77.5 分钟。介质的体积含水量和前半小时的入口径流体积对于滞后持续时间的建模具有重要意义。这些结果代表了绿色基础设施的可控和不可控方面的组合:媒体设计和降雨。
更新日期:2020-12-10
down
wechat
bug