Urban stormwater quality control analysis with detention ponds

Area of Science:

• Environmental Engineering
• Hydrology
• Water Resource Management

Background:

• Stormwater runoff poses a significant threat to receiving water quality due to pollutant loads.
• Existing continuous simulation models are computationally intensive for long-term performance evaluation.
• Development of simplified, analytical models is needed for efficient stormwater management.

Purpose of the Study:

• To develop and evaluate closed-form analytical models for stormwater quality control measures.
• To incorporate spatial variations and infiltration processes into rainfall-runoff transformations.
• To assess the effectiveness of these analytical models compared to continuous simulation models.

Main Methods:

• Derived probability distribution approach for stormwater quality control.
• Extension of rainfall-runoff transformation with lumped parameters to include spatial variations.
• Incorporation of infiltration processes into the rainfall-runoff transformation.
• Development of analytical models with varying complexity based on hydrologic considerations.

Main Results:

• Analytical models were developed using closed-form solutions for pollutant removal in storage facilities.
• The models effectively account for spatial parameter variations and infiltration.
• Case study evaluation demonstrated comparable performance to continuous simulation models for long-term storage facility assessment.

Conclusions:

• Analytical models based on derived probability distributions are effective for stormwater quality management.
• These models provide a computationally efficient alternative to continuous simulation models.
• The developed methodologies enable robust evaluation of pollutant loads and control measure performance.