American Society of Civil Engineers

Estimating Rain Derived Inflow and Infiltration for Rainfalls of Varying Characteristics

by Z. Zhang, (corresponding author), (Assoc. Prof., Dept. of Mathematics and Statistics, Univ. of North Carolina at Charlotte, Charlotte, NC 28223 E-mail:

Journal of Hydraulic Engineering, Vol. 133, No. 1, January 2007, pp. 98-105, (doi:

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Document type: Journal Paper
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.

ASCE Subject Headings:
Autoregressive models
Sanitary sewers