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dc.contributor.authorRui Guo
dc.contributor.authorYiping Guo
dc.contributor.authorShouhong Zhang
dc.contributor.authorDavid Z. Zhu
dc.date.accessioned2022-01-30T21:22:45Z
dc.date.available2022-01-30T21:22:45Z
dc.date.issued8/1/2020 12:00:00 AM
dc.identifier.otherJSWBAY.0000920.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4268092
dc.description.abstractBioretention has become one of the most popular urban stormwater best management practices. An easy-to-use analytical tool is developed here to investigate the water balance dynamics of bioretention cells. A stochastic differential equation describing the dynamic water balance of bioretention cells is established first. The probability distribution of the water content inside a bioretention cell is then analytically solved from that stochastic differential equation. Based on this probability distribution, analytical equations are derived for estimating the average stormwater capture efficiency provided by a cell, the fraction of time when a cell is processing water, the average amount of water stored inside a cell, and the required storage capacity of a cell to achieve a specified stormwater capture efficiency. The accuracy of this analytical approach is verified and the performance characteristics of different bioretention systems are also investigated.
dc.publisherASCE
dc.titleA Tool for Water Balance Analysis of Bioretention Cells
dc.typeJournal Paper
dc.journal.volume6
dc.journal.issue3
dc.journal.titleJournal of Sustainable Water in the Built Environment
dc.identifier.doi10.1061/JSWBAY.0000920
dc.page10
dc.treeJournal of Sustainable Water in the Built Environment:;2020:;Volume ( 006 ):;issue: 003
dc.contenttypeFulltext


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