Evaluating effects of extreme rainfall on stormwater flows and water quality
Extreme rainfall can have profound effects on urban drainage infrastructure and water quality. Hence, it is important to evaluate these effects, especially in a high population density and large urban environment. By understanding these effects, proper mitigation strategies, such as low-impact de...
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Format: | Final Year Project |
Language: | English |
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Nanyang Technological University
2024
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Online Access: | https://hdl.handle.net/10356/177528 |
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Institution: | Nanyang Technological University |
Language: | English |
Summary: | Extreme rainfall can have profound effects on urban drainage infrastructure and water quality. Hence,
it is important to evaluate these effects, especially in a high population density and large urban
environment. By understanding these effects, proper mitigation strategies, such as low-impact
developments can be implemented.
This study investigated the effects of extreme rainfall events on stormwater flow and quality using the
Storm Water Management Model (SWMM). In total, 120 rainfall scenarios with varying return
periods, durations, and temporal distributions (Huff distribution) were simulated. The results
demonstrate a complex relationship between rainfall characteristics and the corresponding
hydrological response. Results also shows that peak and average flow rates are shown to increase with
higher return periods, but this rate of increase diminishes with an increasing return period. Shorter
rainfall events with a similar return period tend to exhibit higher peak flows. Temporal distribution
influences peak flows, with Type IV exhibiting the highest peaks. The time taken to reach peak flow
remains unaffected by the return period.
Analysis conducted on stormwater quality revealed that peak concentration of total suspended solids
(TSS) decreases with increasing return period, potentially due to initial wash-off and effects of
dilution. Additionally, rainfall durations significantly influence peak concentration, with shorter
events exhibiting a higher peak. Temporal distribution also influences peak concentration, with
specific distributions potentially favouring pollutant transport. Total TSS load as expected, increased
with increasing return period while time to peak concentration remained unaffected and preceded
earlier than peak to flow rate, likely attributed to the “first flush” phenomenon. |
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