2021
DOI: 10.1061/jswbay.0000952
|View full text |Cite
|
Sign up to set email alerts
|

Incorporating a Multiple-Benefit Analysis into a Stormwater Decision-Support Tool at Planning Level

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(1 citation statement)
references
References 68 publications
0
1
0
Order By: Relevance
“…Climate-related runoff benefits of distributed SCMs, such as GSI, include reduction of local flooding risks 25 27 , recharging groundwater 28 , 29 , and modulation of flashy runoff responses 30 , 31 . In addition, GSI can provide habitat protection, air quality improvements, urban cooling, carbon dioxide uptake, and improve the social well-being of communities 32 , 33 . State regulatory authorities typically set design standards for GSI and other SCMs with the identification of a target design storm 34 , either via precipitation event recurrence (return interval) or by an annual probability of occurrence based on historical precipitation records 35 , such as retaining the stormwater volume produced from an 85th percentile, 24-h storm event 34 .…”
Section: Introductionmentioning
confidence: 99%
“…Climate-related runoff benefits of distributed SCMs, such as GSI, include reduction of local flooding risks 25 27 , recharging groundwater 28 , 29 , and modulation of flashy runoff responses 30 , 31 . In addition, GSI can provide habitat protection, air quality improvements, urban cooling, carbon dioxide uptake, and improve the social well-being of communities 32 , 33 . State regulatory authorities typically set design standards for GSI and other SCMs with the identification of a target design storm 34 , either via precipitation event recurrence (return interval) or by an annual probability of occurrence based on historical precipitation records 35 , such as retaining the stormwater volume produced from an 85th percentile, 24-h storm event 34 .…”
Section: Introductionmentioning
confidence: 99%