2015
DOI: 10.1061/(asce)he.1943-5584.0001064
|View full text |Cite
|
Sign up to set email alerts
|

Analysis of the Effects of Climate Change on Urban Storm Water Runoff Using Statistically Downscaled Precipitation Data and a Change Factor Approach

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

3
36
1
3

Year Published

2016
2016
2023
2023

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 104 publications
(49 citation statements)
references
References 36 publications
3
36
1
3
Order By: Relevance
“…The hydrological component requires inputs of precipitation and subcatchment properties including drainage area, subcatchment width, and imperviousness. The pipe network requires inputs from manholes, pipelines, outfalls, and connections to sub-catchments (Zahmatkesh et al, 2015;Chang et al, 2013). Basic flow-routing models include steady flow, kinematic, and dynamic wave methods.…”
Section: Urban Drainage Modellingmentioning
confidence: 99%
See 2 more Smart Citations
“…The hydrological component requires inputs of precipitation and subcatchment properties including drainage area, subcatchment width, and imperviousness. The pipe network requires inputs from manholes, pipelines, outfalls, and connections to sub-catchments (Zahmatkesh et al, 2015;Chang et al, 2013). Basic flow-routing models include steady flow, kinematic, and dynamic wave methods.…”
Section: Urban Drainage Modellingmentioning
confidence: 99%
“…Urban drainage systems have been constructed to provide carrying and conveyance capacities at a desired frequency to prevent urban flooding. However, the design of drainage systems is often based on historical precipitation statistics for a certain period of time, without considering the potential changes in precipitation extremes for the designed return periods (Yazdanfar and Sharma, 2015;Peng et al, 2015;Zahmatkesh et al, 2015). It is likely that drainage systems would be over-whelmed by additional runoff induced by climate change, which may lead to increased flood frequency and magnitude, disruption of transportation systems, and increased health risks (Chang et al, 2013;Abdellatif et al, 2015).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Q 95 and Q 10 are the flow values that are equaled or exceeded 95% and 10% of the time, respectively. Q 95 and Q 10 are used for analysis of low flow and high flow, respectively [49]. As illustrated in Figures 10 and 11, the low flow decreased for all RCM+GCM pairs with the highest decrease (28.6%) exhibited by WRFG+CCSM model and lowest decrease (3.4%) exhibited by RCM3+CGCM3, and the calculated average low flow value for eight models indicates a decrease by 16.7% under future climate condition.…”
Section: Yearly Average Changes In Climate Variables and Flowsmentioning
confidence: 97%
“…The increase in precipitation amount, intensity, and frequency in urban areas is expected to produce an increase in the peak and volume of storm runoff (Rawlins et al 2015;Zahmatkesh et al 2014), transporting a high quantity of sediments and pollutants to water bodies. To mitigate the impacts of climate change in urban areas, it is important to reduce soil surface sealing, limit urban sprawl, favor the development of green infrastructure, and favor policies that promote compact cities and green roof implementation (Pereira et al 2014).…”
mentioning
confidence: 99%