Evaluation of the Impact of Rainfall Increases on Runoff in Urban Watersheds

Existing drainage systems, which were already susceptible to degradation, are now facing even greater challenges due to the projected increase of rainfall extremes related to urbanisation and climate change. This could compromise their overall effectiveness. This project aims to develop a novel methodology for assessing the impacts of rainfall increases on urban runoff. The proposed methodology relies on modeling a significant number of artificial urban watersheds using the United States Environmental Protection Agency's (US EPA) Storm Water Management Model (SWMM) software, and the use of rainfall data from different meteorological stations with a variety of durations and frequencies. Results showed that using a simple increase of 18% in simulated rainfall led to larger relative increases in computed peak flow, with a median variation of 24.7%, and median variations in computed runoff volumes of 18.0%. The dispersion of obtained results depends on the intensity (0.05% to 2.58%), frequency (0.05% to 3.22%), and duration (0.16% to 1.49%) of the rainfall event. This suggests that there is no direct link between the rainfall increase factor and the amount of urban runoff. A sensitivity analysis (ANOVA) was conducted to evaluate how watershed characteristics influence runoff caused by changing rainfall regimes. It was found that among all the artificial watershed criteria tested, impermeability, area, and slope have a greater influence on calculated peak flow changes under the tested rainfall increases. Additionally, impermeability emerged as the most critical characteristic affecting calculated runoff volume across all stations, although certain stations exhibited variations where soil type played a more prominent role. This shows that the impacts of climate change could affect watersheds differently depending on their characteristics. This study emphasizes the importance of reducing soil impermeability in the urban water cycle, notably using blue-green infrastructures, to mitigate the impact of climate change on existing urban drainage systems.

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Publication Details

Journal
Journal of Water Management Modeling
Published
2025-01-01
DOI
https://doi.org/10.14796/jwmm.c559
Primary Topic
Urban Stormwater Management Solutions
Type
article
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article

Evaluation of the Impact of Rainfall Increases on Runoff in Urban Watersheds

François Brissette, Richard Arsenault, Jean‐Luc Martel, Émilie Bilodeau
2 links
Journal of Water Management Modeling
Urban Stormwater Management Solutions
article

Evaluation of the Impact of Rainfall Increases on Runoff in Urban Watersheds

François Brissette, Richard Arsenault, Jean‐Luc Martel, Émilie Bilodeau
article en

Abstract

Existing drainage systems, which were already susceptible to degradation, are now facing even greater challenges due to the projected increase of rainfall extremes related to urbanisation and climate change. This could compromise their overall effectiveness. This project aims to develop a novel methodology for assessing the impacts of rainfall increases on urban runoff. The proposed methodology relies on modeling a significant number of artificial urban watersheds using the United States Environmental Protection Agency's (US EPA) Storm Water Management Model (SWMM) software, and the use of rainfall data from different meteorological stations with a variety of durations and frequencies. Results showed that using a simple increase of 18% in simulated rainfall led to larger relative increases in computed peak flow, with a median variation of 24.7%, and median variations in computed runoff volumes of 18.0%. The dispersion of obtained results depends on the intensity (0.05% to 2.58%), frequency (0.05% to 3.22%), and duration (0.16% to 1.49%) of the rainfall event. This suggests that there is no direct link between the rainfall increase factor and the amount of urban runoff. A sensitivity analysis (ANOVA) was conducted to evaluate how watershed characteristics influence runoff caused by changing rainfall regimes. It was found that among all the artificial watershed criteria tested, impermeability, area, and slope have a greater influence on calculated peak flow changes under the tested rainfall increases. Additionally, impermeability emerged as the most critical characteristic affecting calculated runoff volume across all stations, although certain stations exhibited variations where soil type played a more prominent role. This shows that the impacts of climate change could affect watersheds differently depending on their characteristics. This study emphasizes the importance of reducing soil impermeability in the urban water cycle, notably using blue-green infrastructures, to mitigate the impact of climate change on existing urban drainage systems.

Journal of Water Management Modeling
École de Technologie Supérieure (CA)
Openalex Percentile: Top 82%
Urban Stormwater Management Solutions
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