Nonlinear Extrapolation of Inflow and Infiltration Behavior under Heavy Storms
Publication: Journal of Hydrologic Engineering
Volume 13, Issue 12
Abstract
A two-sample nonlinear heteroscedastic regression model is described and proposed for the purpose of evaluating a sewer basin rehabilitation by quantifying the reduction in rain-derived inflow and infiltration (RDII). The proposed methodology is used at the second stage of RDII studies after RDII volumes of individual rain events are estimated. The proposed methodology utilizes boundary conditions of system capacity and extrapolates the RDII behavior under usually unobserved heavy design storms in short-term flow data series—a common problem in RDII studies. As compared to the commonly used linear models, the proposed methodology offers flexibility in modeling, reasonable extrapolation, and simplicity in interpretation.
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Acknowledgments
The writer thanks Bert Gallaher of CMU, Wayne Miles and Shannon Campbell of CDM, Daniel O’Leary and Reggie Rowe of CH2M HILL, and Kevin Enfinger of ADS for many valuable and educational discussions. The research reported in this paper is partially supported by the funds from U.S. EPA Grant No. CX825607-01-0.
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Information & Authors
Information
Published In
Journal of Hydrologic Engineering
Volume 13 • Issue 12 • December 2008
Pages: 1125 - 1132
Copyright
© 2008 ASCE.
History
Received: Dec 18, 2006
Accepted: Feb 14, 2008
Published online: Dec 1, 2008
Published in print: Dec 2008
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