Optimal placement of water quality monitoring stations in sewer systems: An information theory approach

B. K. Banik, L. Alfonso, A. S. Torres, A. Mynett, C. Di Cristo, A. Leopardi

Research output: Contribution to journalConference articleScientificpeer-review

7 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1308-1317
Number of pages10
JournalProcedia Engineering
Volume119
Issue number1
DOIs
Publication statusPublished - 2015
Externally publishedYes
Event13th Computer Control for Water Industry Conference - Hugh Aston Building, De Montfort University , Leicester, United Kingdom
Duration: 2 Sep 20154 Sep 2015
Conference number: 13

Keywords

  • Entropy
  • Information theory
  • Monitoring stations
  • NSGA-II
  • Optimization
  • Sewer systems

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