Real time control to manage sewer systems

S. Bennis, M. Temimi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The aim of this work is mainly the real time forecast of pollutant loads in an urban sewer network. The method used in this study is based on two implements: the rating curve and the Kalman filter. The rating curve model is used to substantiate the correlation between pollutant loads and runoff. The assumption of systematic synchronism between hydrograph and pollutograph peaks constitutes however a weakness of this model, which we propose to overcome within the framework of this work. The rating curve model is therefore modified by the introduction of a term that takes into account the lag identified in real time. In addition, the constancy of the parameters of the classical rating curve model constitutes another weakness when phenomena need to be reproduced during a same event or from one event to another. In order to overcome this second weakness, the Kalman filter was used to identify the parameters of a dynamic model according to the errors of forecast noted at each time step. The method was tested successfully on sector I of the town of Verdun (Quebec).

Original languageEnglish
Title of host publicationManagement Information Systems 2002
Subtitle of host publicationIncorporating GIS and Remote Sensing
EditorsC.A. Brebbia, P. Pascolo
Pages379-388
Number of pages10
StatePublished - 2002
EventThird International Conference on Management Information Systems Incorporating GIS and Remote Sensing, MIS 2002 - Halkidiki, Greece
Duration: 24 Apr 200226 Apr 2002

Publication series

NameManagement Information Systems

Conference

ConferenceThird International Conference on Management Information Systems Incorporating GIS and Remote Sensing, MIS 2002
Country/TerritoryGreece
CityHalkidiki
Period24/04/0226/04/02

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