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contributor authorM. P. Khan
contributor authorK. Hubacek
contributor authorK. L. Brubaker
contributor authorL. Sun
contributor authorG. E. Moglen
date accessioned2022-08-18T12:35:28Z
date available2022-08-18T12:35:28Z
date issued2022/06/20
identifier otherJSWBAY.0000992.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4286870
description abstractUrban runoff volumes and flow peaks are likely to increase in the future owing to climate change–driven effects on rainfall and continued urbanization. Actionable planning estimates that anticipate these impacts are needed to assess stormwater management infrastructure requirements and to minimize impacts on ecosystem services. This study presents a planning-level simple flow simulation tool and quantifies benefits of green stormwater management practices in small watersheds. Flow simulation was performed using a curve number–based watershed model (CWM). A portfolio approach was used to assess cost-optimal stormwater adaptation pathways considering a suite of alternative practices including both gray and green infrastructure. The CWM provides actionable information for medium to highly urbanized watersheds with percent bias less than 30% for highly urbanized watersheds. Considering projected future stormwater needs, analysis of multiple stormwater management approaches showed that green stormwater management alternatives are less cost-optimal than gray infrastructure at small watershed scales. These results suggest the possible use of CWM for quick planning-level flow estimates and analysis of more green practices for cost-optimal alternatives.
publisherASCE
titleStormwater Management Adaptation Pathways under Climate Change and Urbanization
typeJournal Article
journal volume8
journal issue4
journal titleJournal of Sustainable Water in the Built Environment
identifier doi10.1061/JSWBAY.0000992
journal fristpage04022009
journal lastpage04022009-13
page13
treeJournal of Sustainable Water in the Built Environment:;2022:;Volume ( 008 ):;issue: 004
contenttypeFulltext


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