A New Method of Predicting Rainfall Dependent Inflow and Infiltration
Authors: Qiao, Frank; Lu, Helen; Derr, Henry (Kelly); Wang, Michael; Chen, Meifa
Source: Proceedings of the Water Environment Federation, WEFTEC 2007: Session 21 through Session 30 , pp. 1883-1890(8)
Publisher: Water Environment Federation
Abstract:
There are many hydrological models available to quantitatively characterize rainfall dependent inflow and infiltration (RDII) in a sanitary sewer system, most of which were first derived for quantifying rainfall surface runoff process and later found many applications in studying the issues of combined sewer overflows (CSO). However, it has been long recognized that profound differences do exist between sanitary sewer overflows and combined sewer overflows from the perspective of their duration and unique pattern, which renders the application of existing hydrological methods, such as SWMM routing, to sanitary sewer overflow a challenge, sometimes even unattainable goal. This paper is written to introduce a new methodology to predict rainfall dependent inflow and infiltration, and compare its pros and cons to the existing methods. The "ground infiltration" model proves to be highly effective and efficient in simulating sanitary sewer overflow in exceedingly porous system with surprisingly long duration as demonstrated in the case study.Keywords: RDII; HYDROLOGICAL MODEL; GROUND INFILTRATION; RTK
Document Type: Research article
DOI: http://dx.doi.org/10.2175/193864707788116040
Publication date: 2007-10-01
- Proceedings of the Water Environment Federation is an archive of papers published in the proceedings of the annual Water Environment Federation® Technical Exhibition and Conference (WEFTEC® ) and specialty conferences held since the year 2000. These proceedings are not peer reviewed. WEF Members: Sign in (right panel) with your IngentaConnect user name and password to receive complimentary access.
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- In this Subject: Earth and Environmental Sciences , General & Civil Engineering , Hydraulic & Environmental Engineering
- By this author: Qiao, Frank ; Lu, Helen ; Derr, Henry (Kelly) ; Wang, Michael ; Chen, Meifa

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