A new rule generation method to develop a decision support system for integrated management at river basin scale

Author:

Benedetti Lorenzo12,Prat Pau3,Nopens Ingmar1,Poch Manel34,Turon Clàudia5,De Baets Bernard2,Comas Joaquim3

Affiliation:

1. BIOMATH, Department of Applied Mathematics, Biometrics and Process Control, Ghent University, Coupure links 653, Ghent 9000, Belgium E-mail: lorenzo.benedetti@ugent.be; ingmar.nopens@ugent.be

2. KERMIT, Department of Applied Mathematics, Biometrics and Process Control, Ghent University, Coupure links 653, Ghent 9000, Belgium E-mail: bernard.debaets@ugent.be

3. LEQUIA, University of Girona, Campus Montilivi, Girona 17071, Spain E-mail: pau@lequia.udg.cat; manel@lequia.udg.cat; quim@lequia.udg.cat

4. ICRA, Catalan Water Research Institute, PCiT, Girona 17071, Spain

5. Consorci per a la Defensa de la Conca del Riu Besòs, Av. Sant Julià 241, Granollers 08403, Spain E-mail: cturon@besos.cat

Abstract

The Besòs River Basin authority is working towards the implementation of integrated river basin management, as required by the Water Framework Directive (WFD), to achieve a good ecological and chemical status of all water bodies by 2015. The studied system is constituted by two communities (La Garriga and Granollers), their corresponding draining catchments, sewer systems and two WWTPs, which discharge treated water at different locations of the same river. Within this context, the realisation of an integrated model of the river stretch and of the two WWTPs with their sewer systems and draining catchments was necessary. Such a model allows to efficiently simulate and analyse the behaviour of the integrated system and to optimize its performance holistically. In this article, a method is presented to generate rules to be implemented in a supervisory system for automatic management of the Integrated Urban Wastewater System (IUWS) in dry and storm weather. This is achieved by identifying, with the help of Monte Carlo simulations, the most performing operational parameters—according to environmental and economic criteria—for the two weather conditions.

Publisher

IWA Publishing

Subject

Water Science and Technology,Environmental Engineering

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