Technical Papers
Feb 7, 2013

Adsorption Model for Arsenate Transport in Corroded Iron Pipes with Application to a Simulated Intrusion in a Water Distribution Network

Publication: Journal of Water Resources Planning and Management
Volume 140, Issue 5

Abstract

Adsorption to pipe wall materials significantly affects the fate and transport of certain contaminants in water distribution systems. For example, arsenate has a strong affinity for iron oxide, a substance common in water distribution pipes. In this paper a mathematical model for arsenate adsorption to iron oxide pipe wall materials is developed. The effects of two common assumptions on modeled arsenate transport are explored: a theoretical smooth pipe mass transfer coefficient and an assumption of rapid equilibrium of adsorption at the pipe wall surface. The effects of these assumptions are explored in a single pipe sensitivity analysis and found to yield significantly different results than parameters estimated from experimental data. In simulations of a hypothetical arsenate contamination event in a model water distribution system, the two assumptions result in different predictions of system contamination and contaminant exposure to consumers. These results indicate that even though water quality modeling plays an essential role in planning for distribution system decontamination, modeling assumptions must be carefully chosen.

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Information

Published In

Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 140Issue 5May 2014
Pages: 649 - 657

History

Received: Jul 8, 2012
Accepted: Feb 5, 2013
Published online: Feb 7, 2013
Discussion open until: Jul 7, 2013
Published in print: May 1, 2014

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Authors

Affiliations

Stephen T. Klosterman [email protected]
Graduate Student, Dept. of Organismic and Evolutionary Biology, Harvard Univ., 22 Divinity Ave., Cambridge, MA 01238 (corresponding author). E-mail: [email protected]
James G. Uber
A.M.ASCE
Professor, Environmental Engineering Program, School of Energy, Environmental, Biological, and Medical Engineering, Univ. of Cincinnati, 701 Engineering Research Center, P.O. Box 210012, Cincinnati, OH 45221-0012.
Regan Murray
Mathematical Statistician, National Homeland Security Research Center, U.S. Environmental Protection Agency, 26 W. Martin Luther King Dr., Cincinnati, OH 45268.
Dominic L. Boccelli
A.M.ASCE
Associate Professor, Environmental Engineering Program, School of Energy, Environmental, Biological, and Medical Engineering, Univ. of Cincinnati, 701 Engineering Research Center, P.O. Box 210012, Cincinnati, OH 45221-0012.

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