Modeling Infiltration/Inflow Using a Disaggregated Stochastic Process
Abstract
To design a sanitary sewer or treatment plant the engineer is required to estimate the daily flow and the peak flow expected in the system. To do this, an estimate of the dry weather flow and the wet weather flow is needed. To produce the most reliable estimates, measured data should be used in determining these flow rates. A procedure is developed to stochastically separate and model the components of dry weather flow, wet weather inflow and subsurface/ground-water infiltration using measured flow records of sewer flows and rainfalls in the area. This model can then be used to estimate the inflow and infiltration for a given storm or design frequency (exceedence probability or risk).
Recommended Citation
C. D. Morris and K. Eisenbath, "Modeling Infiltration/Inflow Using a Disaggregated Stochastic Process," Global Solutions for Urban Drainage. Proceedings of the 9th International Conference on Urban Drainage (91CUD), American Society of Civil Engineers (ASCE), Sep 2002.
The definitive version is available at https://doi.org/10.1061/40644(2002)126
Department(s)
Civil, Architectural and Environmental Engineering
Keywords and Phrases
Infiltration; Inflow; Sanitary Sewers; Stochastic Processes
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2002 American Society of Civil Engineers (ASCE), All rights reserved.
Publication Date
01 Sep 2002
