Executive <br />Summary <br />The City of Eugene and MWMC have conducted wastewater collection system flow <br />monitoring since the late 1980s. The flow data were initially used in the pretreatment <br />program; they are now used mainly to support design purposes and to form the basis for <br />assessing the effectiveness of system rehabilitation to reduce rainfall derived infiltration and <br />inflow (RDII) into the system. <br />In 1996, the City of Eugene began a focused program to rehabilitate the wastewater collection <br />system with an objective of reducing RDII. Rehabilitation includes repair or replacement of <br />the main line, public service lines, and connections; elimination of taps and tees not used <br />within the public right-of--way limits; and sealing of manholes. From 1997 to 2001, the City <br />focused rehabilitation on the Amazon Basin (DA). The Amazon Basin has historically <br />exhibited high RDII characteristics. It also received high priority for rehabilitation in the <br />Metropolitan Wastewater Management Commission's (MWMC) Wet Weather Flow <br />Management Plan (WWFMP) published in 2000. <br />Obtaining reliable pre- as well as post-rehabilitation flow monitoring data can be a sigxuficant <br />and expensive endeavor for public agencies. Many agencies have opted to focus more on <br />rehabilitation rather than on assessing and documenting rehabilitation effectiveness. The City <br />of Eugene should be considered very progressive for the resources they have allocated toward <br />soundly analyzing their system, implementing rehabilitation, and assessing the resulting <br />effectiveness. <br />No set industry standard has been established, nor single methodology accepted, to outline the <br />specific protocols for gauging the effectiveness of RDII removal related to collection system <br />rehabilitation. However, much research has been conducted and results published. Of the <br />eight methods for determining RDII documented in the 1999 Water Environment Research <br />Foundation report entitled Using Flow Prediction Technologies to Control Sanitary Sewer <br />Overflows (Project Number: 97-CTS-8), the R-Value Method method utilizes the type of data <br />available from the City of Eugene's monitoring program. The analysis on which this report is <br />based uses that method which characterizes RDII using a Return Value or "R" Value. This <br />method seeks to correlate volume and/or peak RDII volume and/or peak intensity of rainfall. <br />The method requires that dry-weather base sanitary flows be extracted from the flow- <br />monitoring data such that the remainder can be assumed to be the RDII component. The <br />method is generally sound for event analysis and is a reasonable metric to base a comparison <br />of pre- versus post-rehabilitation effectiveness. <br />This report documents analysis of pre- and post-rehabilitation monitoring data whose drainage <br />area includes areas within the Amazon Basin that have been rehabilitated. The analysis <br />compares volumes and peaks of data prior and subsequent to completion of rehabilitation <br />implementation. The analysis comprised a systemwide perspective through comparison of <br />pre- and post-rehabilitation flows at the Eugene Springfield Water Pollution Control Facility <br />(E/S WPCF); a basinwide perspective through comparing flows draining through the outlet of <br />3 <br />