Watershed Management Conference 2020
Regression Models for Analyzing Nutrients in Highway Stormwater Runoff Using Event and Site-Specific Variables
Publication: Watershed Management 2020
ABSTRACT
Regression models for analyzing nutrients in highway stormwater runoff were formulated in this study using event- and site-specific variables. Data and information for 59 storm events during the rainy seasons of 1999–2003 obtained from three University of California, Los Angeles (UCLA), sites located in southern California were used to formulate regression models for nutrients that include ammonia, total Kjeldahl nitrogen (TKN), phosphate, nitrate, and nitrite based on their event mean concentrations (EMC). Event-specific parameters— total rainfall, maximum intensity of rainfall, duration of runoff, and antecedent dry days— and site-specific parameters— runoff coefficient, area of catchment, and average daily traffic— were used as the independent variables. Four sets of regression forms— linear, exponential, semi-log, and inverse— were considered to evaluate nutrient EMCs. Models developed for the individual and combined UCLA sites were generally good with R2 values greater than 0.50 and 0.40, respectively. Total rainfall and antecedent dry days were the two most significant event-specific parameters influencing the nutrient EMCs. Regression models from this study can be useful for the sustainable integrated management of nutrients in stormwater runoff from vehicular-intensive land use such as highways and has great potential to monitor and improve the water quality in the receiving water bodies.
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Information & Authors
Information
Published In
Watershed Management 2020
Pages: 64 - 77
Editors: Rosanna La Plante, WSSC Water and John J. Ramirez-Avila, Ph.D., Mississippi State University
ISBN (Online): 978-0-7844-8306-0
Copyright
© 2020 American Society of Civil Engineers.
History
Published online: Jul 30, 2020
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