期刊
JOURNAL OF CLEANER PRODUCTION
卷 312, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2021.127636
关键词
Bioretention models; LID toolbox; WSUD; Stormwater
资金
- INSA Lyon
- French National Research Agency ANR [ANR-17-CE04-0010]
- OTHU scientific
- Universite de Lyon (UdL) , within the program Investissements d'Avenir by the French National Research Agency (ANR) [ANR-17-EURE-0018]
Bioretention systems are widely used globally to mitigate urban stormwater runoff impacts, and accurate modeling of physical processes within these systems is crucial. A generic model was developed and tested, showing good performance in replicating underdrain outflow rates but discrepancies in simulating water levels within the bioretention basin.
Bioretention systems are increasingly used worldwide to mitigate the impacts of urban stormwater runoff on the water cycle. Being able to accurately model physical processes occurring within these systems is critical to their design and to being able to predict their performance. Most popular urban hydrological models must now integrate a low impact development (LID) toolbox to keep up with current practices. We aimed to develop and test a generic model of bioretention systems that can serve as a targeted compromise between oversimplification without any physical basis, on the one hand, and physical soundness requiring a large number of parameters for calibration, on the other. The model accounts for evapotranspiration, overflow, infiltration into the filter (single permeability behavior), exfiltration to surrounding soils, along with underdrain discharge. The model was tested against field data from a monitored bioretention basin in Melbourne, Australia. Based on 22 rainfall events (two used for calibration and 20 for validation), results showed that the simulated underdrain outflow rates and their temporal dynamic were well replicated (considering the validation phase with 20 rainfall events: median NSE = 0.75, median PBIAS = -22%, median RMSE = 0.48 l/s). Despite good performance for outflow rates, there was a discrepancy observed in magnitude between simulated and measured water levels within the bioretention basin. The model therefore seems a useful first step towards the design of a user-friendly model for assessing both performance and impact of bioretention basins for catchment-scale flow regime management.
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