Flow Data, Inflow/Infiltration Ratio, and Autoregressive Error Models
Publication: Journal of Environmental Engineering
Volume 131, Issue 3
Abstract
Sanitary sewer overflows (SSOs) are a major environmental issue. One of the major factors causing SSOs is the rain-derived inflow and infiltration (RDII) to a separate sanitary sewer system. If a wastewater collection system is not well maintained, cumulative system-wide RDII could easily cause the wastewater conveyance and treatment capacity to be overwhelmed, and thus lead to SSOs. Monitoring system condition is a key component in system management. The industry’s standard approaches to system monitoring include the practice of collecting and analyzing continuous rainfall and flow data at certain key locations in the system to estimate the level of RDII. However, the writer is of the opinion that the current standard analytical methodologies of the industry can be significantly improved. This paper introduces a basic regression approach with autoregressive errors to support statistical inferences with respect to the level of RDII.
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Acknowledgements
The writer thanks Bert Gallaher of CMU, Wayne Miles and Jason Dorn of CDM, and Reggie Rowe of CH2M HILL for many valuable and educational discussions. The research reported in this paper is partially supported by the funds from the U.S. EPA Grant No. CX825607-01-0.
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Information & Authors
Information
Published In
Journal of Environmental Engineering
Volume 131 • Issue 3 • March 2005
Pages: 343 - 349
Copyright
© 2005 ASCE.
History
Received: Nov 25, 2003
Accepted: Apr 2, 2004
Published online: Mar 1, 2005
Published in print: Mar 2005
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