Optimal placement of water quality monitoring stations in sewer systems

An information theory approach

Journal article (2015)

Authors

Bijit Kumar Banik IHE Delft Institute for Water Education, University of Cassino and Southern Lazio

L. Alfonso IHE Delft Institute for Water Education

A. S. Torres IHE Delft Institute for Water Education

A.E. Mynett IHE Delft Institute for Water Education

Cristiana Di Cristo University of Cassino and Southern Lazio

Angelo Leopardi University of Cassino and Southern Lazio

Optimization Entropy Sewer systems NSGA-II Information theory Monitoring stations

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Published Date

2015

Language

English

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Abstract

A core problem associated with the water quality monitoring in the sewer system is the optimal placement of a limited number of monitoring sites. A methodology is provided for optimally design water quality monitoring stations in sewer networks. The methodology is based on information theory, formulated as a multi-objective optimization problem and solved using NSGA-II. Computer code is written to estimate two entropy quantities, namely Joint Entropy, a measure of information content, and Total Correlation, a measure of redundancy, which are maximized and minimized, respectively. The test on a real sewer network suggests the effectiveness of the proposed methodology.