Pre-Conditioning Approach to Bayesian Decision Networks for Water Quality Sensors Positioning in Urban Drainage Systems

10 pages•Published: September 20, 2018

Mariacrocetta Sambito, Cristiana Di Cristo, Gabriele Freni, Angelo Leopardi and Claudia Quintiliani

Abstract

In the last decades, the growth of mini- and micro-industry in urban areas has produced an increase in the frequency of xenobiotic polluting discharges in drainage systems. Such pollutants are usually characterized by low removal efficiencies in urban wastewater treatment plants and they may have an acute or cumulative impact on environment. In order to facilitate early detection and efficient containment of the illicit intrusions, the present work aims to develop a decision-support approach for positioning the water quality sensors. It is mainly based on the use of a decision-making support of the BDN type (Bayesian Decision Network), specifically looking soluble conservative pollutants, such as metals. In the application and result section the methodology is tested on two sewer systems, with increasing complexity: a literature scheme from the SWMM manual and a real combined sewer.

Keyphrases: bayesian decision network, illicit intrusion, urban drainage systems.

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 1841-1850.

Links:	https://easychair.org/publications/paper/mLJp
	https://doi.org/10.29007/bcnz

BibTeX entry

@inproceedings{HIC2018:Pre_Conditioning_Approach_Bayesian,
  author    = {Mariacrocetta Sambito and Cristiana Di Cristo and Gabriele Freni and Angelo Leopardi and Claudia Quintiliani},
  title     = {Pre-Conditioning Approach to Bayesian Decision Networks for Water Quality Sensors Positioning in Urban Drainage Systems},
  booktitle = {HIC 2018. 13th International Conference on Hydroinformatics},
  editor    = {Goffredo La Loggia and Gabriele Freni and Valeria Puleo and Mauro De Marchis},
  series    = {EPiC Series in Engineering},
  volume    = {3},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {/publications/paper/mLJp},
  doi       = {10.29007/bcnz},
  pages     = {1841-1850},
  year      = {2018}}

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