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Vegetated Treatment Systems for Removing Contaminants Associated with Surface Water Toxicity in Agriculture and Urban Runoff
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Predicting nonpoint stormwater runoff quality from land use.
Brik R Zivkovich1, David C Mays1
1University of Colorado Denver, Department of Civil Engineering, Denver, Colorado, United States of America.
Plos One
|May 10, 2018
Summary
This study presents a cost-effective method to identify critical watersheds for nonpoint pollutant control in urban areas. By correlating water quality with land use, it helps prioritize locations for stormwater best management practices (BMPs).
Area of Science:
- Environmental Science
- Urban Planning
- Water Resource Management
Background:
- Urban development increases nonpoint pollutants, degrading urban streams and lakes.
- Integrated water quality management uses best management practices (BMPs) to treat runoff near the source.
- Identifying optimal BMP locations is challenging due to budget and spatial complexity.
Purpose of the Study:
- To develop a straightforward, cost-effective methodology for identifying critical nonpoint pollutant source watersheds.
- To aid stormwater professionals in selecting effective retrofit locations for water quality treatment.
Main Methods:
- Correlation of water quality data with land use characteristics.
- Application of the methodology to metropolitan Denver, Colorado, as a case study.
Main Results:
- The proposed method successfully identifies critical nonpoint pollutant source watersheds.
- Demonstrates a practical approach for prioritizing areas for stormwater management interventions.
Conclusions:
- This land use-based approach provides a valuable tool for urban water quality management.
- Enables efficient allocation of resources for retrofitting BMPs to mitigate stormwater impacts.
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