Regression modeling of particle size distributions in urban storm water: advancements through improved sample collection methods

Journal of Environmental Engineering
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Abstract

A new sample collection system was developed to improve the representation of sediment entrained in urban storm water by integrating water quality samples from the entire water column. The depth-integrated sampler arm (DISA) was able to mitigate sediment stratification bias in storm water, thereby improving the characterization of suspended-sediment concentration and particle size distribution at three independent study locations. Use of the DISA decreased variability, which improved statistical regression to predict particle size distribution using surrogate environmental parameters, such as precipitation depth and intensity. The performance of this statistical modeling technique was compared to results using traditional fixed-point sampling methods and was found to perform better. When environmental parameters can be used to predict particle size distributions, environmental managers have more options when characterizing concentrations, loads, and particle size distributions in urban runoff.

Additional publication details

Publication type Article
Publication Subtype Journal Article
Title Regression modeling of particle size distributions in urban storm water: advancements through improved sample collection methods
Series title Journal of Environmental Engineering
DOI 10.1061/(ASCE)EE.1943-7870.0000612
Volume 138
Issue 12
Year Published 2012
Language English
Publisher American Society of Civil Engineers
Contributing office(s) Wisconsin Water Science Center
Description 8 p.
First page 1186
Last page 1193
Online Only (Y/N) N
Additional Online Files (Y/N) N