Pattern-based assessment of the influence of catchment characteristics on urban stormwater quality

ABSTRACT Use of traditional catchment characteristics and lack of effective separation of catchment characteristics from rainfall characteristics limits the adequate understanding of the actual influences of catchment characteristics on stormwater quality. In this context, this study adopted a pattern-based separation approach to identifying common events from three rainfall clusters of study catchments, where rainfall characteristics for identified common 8, 9 and 36 events are similar, but catchment characteristics are different. This study identified that the locations of pervious surfaces and urban forms are also important catchment characteristics. The contribution of the pervious area to runoff is significant for long durational (cluster 1) and high-intensity (cluster 3) rainfall events associated with low antecedent dry days and initiated at around 35 mm rainfall depth. A catchment having a large impervious area and pervious area located at far distances from the drainage system can contribute more pollutant load at first 10% runoff volume. High socio-economic developed urban form can contribute a high fraction wash-off corresponding to 10–70% runoff volume due to traffic-related behaviour and various anthropogenic activities. The developed knowledge will overcome the shortcomings of lumped characteristics-based treatment design and improve the efficiency of current stormwater treatment system design practices.

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Publication Details

Journal
Water Science & Technology
Published
2024-10-24
DOI
https://doi.org/10.2166/wst.2024.355
Citations
1
Primary Topic
Urban Stormwater Management Solutions
Type
article
Field-Weighted Citation Impact
0.21

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article

Pattern-based assessment of the influence of catchment characteristics on urban stormwater quality

Prasanna Egodawatta, Anupam Chowdhury, James M. McGree
1 citations
Water Science & Technology
Urban Stormwater Management Solutions
0.21
article

Pattern-based assessment of the influence of catchment characteristics on urban stormwater quality

Prasanna Egodawatta, Anupam Chowdhury, James M. McGree
article en
1 citations

Abstract

ABSTRACT Use of traditional catchment characteristics and lack of effective separation of catchment characteristics from rainfall characteristics limits the adequate understanding of the actual influences of catchment characteristics on stormwater quality. In this context, this study adopted a pattern-based separation approach to identifying common events from three rainfall clusters of study catchments, where rainfall characteristics for identified common 8, 9 and 36 events are similar, but catchment characteristics are different. This study identified that the locations of pervious surfaces and urban forms are also important catchment characteristics. The contribution of the pervious area to runoff is significant for long durational (cluster 1) and high-intensity (cluster 3) rainfall events associated with low antecedent dry days and initiated at around 35 mm rainfall depth. A catchment having a large impervious area and pervious area located at far distances from the drainage system can contribute more pollutant load at first 10% runoff volume. High socio-economic developed urban form can contribute a high fraction wash-off corresponding to 10–70% runoff volume due to traffic-related behaviour and various anthropogenic activities. The developed knowledge will overcome the shortcomings of lumped characteristics-based treatment design and improve the efficiency of current stormwater treatment system design practices.

Water Science & TechnologyVol. 90(9)
Queensland University of Technology (AU), Rajshahi University of Engineering and Technology (BD)
Queensland University of Technology
Clean water and sanitation
Openalex Percentile: Top 49%
Urban Stormwater Management Solutions
0.21
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Pattern-based assessment of the influence of catchment characteristics on urban stormwater quality — Prasanna Egodawatta, Anupam Chowdhury, et al. · Water Science & Technology (2024) | TGRS Research Map | TGRS