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Sectional analysis of the pollutant wash-off process based on runoff hydrograph
Noraliani Alias1, An Liu2, Prasanna Egodawatta3
1Faculty of Civil Engineering, Universiti Teknologi Malaysia, 81310 UTM Skudai, Johor, Malaysia.
Journal of Environmental Management
|January 28, 2014
Summary
Investigating pollutant wash-off requires more than just rainfall intensity. This study reveals rainfall patterns and depth significantly impact pollutant removal, offering better stormwater treatment and modeling strategies.
Area of Science:
- Environmental Science
- Hydrology
- Water Quality Management
Background:
- Traditional methods for pollutant wash-off analysis often use simplified rainfall parameters, potentially limiting accuracy.
- The first flush phenomenon in stormwater runoff is crucial for pollutant transport but its relationship with rainfall characteristics needs further investigation.
Purpose of the Study:
- To challenge the validity of using lumped rainfall parameters for pollutant wash-off studies.
- To introduce and explore the concept of sector parameters for analyzing the pollutant wash-off process.
- To establish a clearer understanding of the relationship between rainfall characteristics, runoff, and pollutant wash-off.
Main Methods:
- Utilized sector parameters to analyze the relationship between pollutant wash-off and distinct sectors of the runoff hydrograph and rainfall hyetograph.
- Evaluated the influence of rainfall depth, rainfall intensity, antecedent dry period, and rainfall patterns on the pollutant wash-off process.
- Compared the effectiveness of sector parameters against conventional lumped rainfall parameters.
Main Results:
- Rainfall depth and intensity were identified as key drivers of the pollutant wash-off process, outweighing the influence of the antecedent dry period.
- Rainfall patterns were found to be a critical factor in pollutant wash-off, independent of catchment characteristics.
- Sector parameters provide a more nuanced understanding of wash-off dynamics compared to traditional lumped parameters.
Conclusions:
- The study highlights the limitations of solely relying on rainfall intensity for stormwater quality modeling and treatment design.
- Findings enable more informed selection of rainfall events for stormwater treatment, targeting specific pollutant species or runoff sectors.
- The research contributes to improved stormwater quality modeling and prediction by incorporating detailed rainfall event characteristics.
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