Estimating Rain Derived Inflow and Infiltration for Rainfalls of Varying Characteristics
Publication: Journal of Hydraulic Engineering
Volume 133, Issue 1
Abstract
The objective of this paper is to describe an autoregressive regression framework with respect to metered sewer flow and simultaneous rainfall data series. The main purpose is to produce more reliable estimates for rain derived inflow and infiltration (RDII) characteristics in a sanitary sewer basin. The discussion is centered at three specific points: (1) a justification for an autoregressive error structure; (2) a modeling setup to capture the RDII characteristics for rain events of varying duration and intensity; and (3) a statistical quantification of RDII reduction, by a sewer rehabilitation project, via tests based on two independent data series.
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Acknowledgments
The writer thanks Bert Gallaher of CMU, Wayne Miles of CDM, Daniel O’Leary and Reggie Rowe of CH2M HILL, and Kevin Enfinger of ADS for many valuable and educational discussions. The writer also thanks an associate editor and three reviewers for their very helpful comments on an earlier version of this paper. The research reported in this paper is partially supported by funds from U.S. EPA Grant No. UNSPECIFIEDCX825607-01-0.
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Information & Authors
Information
Published In
Journal of Hydraulic Engineering
Volume 133 • Issue 1 • January 2007
Pages: 98 - 105
Copyright
© 2007 ASCE.
History
Received: Feb 15, 2005
Accepted: May 16, 2006
Published online: Jan 1, 2007
Published in print: Jan 2007
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