Modelling heavy metal contamination events in water distribution systems

Ziv Ohar, Avi Ostfeld*, Ori Lahav, Liat Birnhack

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations

Abstract

Certain soluble heavy metals are known to accumulate in the human body, resulting in (inter alia) toxicity to the kidney, liver, lungs, brain, heart and central nervous system. Water quality sensors can monitor small changes in water quality properties such as pH, TOC, turbidity, temperature, free chlorine concentration, and alkalinity. Heavy metals neither react with free chlorine nor consist of organic carbon; therefore, unless the solubility threshold is surpassed, the contaminant presence is distinguishable only by a change in the pH value. This characteristic makes the detection of heavy metal contamination events relatively tricky. In this work, a detailed aquatic chemistry multi-species model was developed within EPANET-MSX for the purpose of simulating the changes in water quality induced by cadmium contamination events. The model was applied on an example application network and the possible effects of various contamination events were explored.

Original languageEnglish
Pages (from-to)328-336
Number of pages9
JournalProcedia Engineering
Volume119
Issue number1
DOIs
StatePublished - 2015
Externally publishedYes
Event11th ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2010 - Chicago, IL, United States
Duration: 20 Sep 201024 Sep 2010

Keywords

  • Detailed chemical model
  • EPANET-MSX
  • Heavy metals
  • Water distribution system
  • Water quality simulation

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