N3.06 Brown 2018 ReNUWIt Annual Meeting Poster

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Abstract/Contents

Abstract
Trace organic contaminants (TOrCs) have been measured and studied in urban stormwater runoff, but most statistical analysis of TOrCs have been comparisons of concentrations between sites. This project analyzes methods of predicting TOrCs for different land covers (high-density residential [HDRES] and commercial [COMM]) using hydrologic measurements and how TOrCs respond to precipitation events for different land-covers. This is important for those who aim to study and mitigate TOrCs in urban stormwater runoff using BMPs because it indicates where TOrCs are expected to exist and their expected magnitudes.

Description

Type of resource other
Date created May 2018

Creators/Contributors

Author Brown, Jacob
Author Hogue, Terri
Author Bell, Colin
Author Higgins, Christopher
Author Selbig, William

Subjects

Subject Re-inventing the Nation’s Urban Water Infrastructure
Subject ReNUWIt
Subject N3.06
Subject Natural Water Infrastructure Systems
Subject Distributed stormwater treatment unit processes
Subject bioremediation
Subject fate
Subject identification
Subject removal
Subject surface water
Subject toxicity
Subject wastewater

Bibliographic information

Related Publication Brown, J. A., Bell, C. D., Hogue, T. S., Higgins, C. P., & Selbig, W. R. (2019). An integrated statistical and deterministic hydrologic model for analyzing trace organic contaminants in commercial and high-density residential stormwater runoff. Science of the Total Environment, 673, 656-667. http://doi.org/10.1016/j.scitotenv.2019.03.327
Location https://purl.stanford.edu/nz130df5611

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License
This work is licensed under an Open Data Commons Attribution License v1.0.

Preferred citation

Preferred Citation
Brown, J. A., Hogue, T. S., Bell, C. D., Higgins, C. P., & Selbig, W. R. (2018). N3.06 Brown 2018 ReNUWIt Annual Meeting Poster. Stanford Digital Repository. Available at: https://purl.stanford.edu/nz130df5611

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Re-inventing the Nation's Urban Water Infrastructure (ReNUWIt)

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