Abstract
This paper aims to develop and demonstrate the technical feasibility of prototype system for early bio-contamination detection that will efficiently enable water operators to ensure real-time water quality control management, as well as a preemptive risk management and consumers' warning. The deployment of state-of-the-art and mono/multi-parameter systems for sensors' health monitoring provide the operators with innovative reliable capabilities to ensure early microbial contamination detection, efficiently filter false alarms, undertake preemptive incident mitigation measures and monitor their impacts. Due to lack of labeled water bio-contamination data, numerical models (EPANET-MSX) have been used for bio-contamination scenario simulations of Escherichia coli (E. coli) injections into a water distribution network modeled with EPANET. The monitored effect on water quality parameters, as free chlorine and total chlorine, are compared with laboratory results obtained at the University of Lille. The outcome has demonstrated the feasibility of using the on-line monitoring of water quality parameters for real time bio-contamination detection and mitigation impacts monitoring.
| Original language | English (US) |
|---|---|
| Title of host publication | International Conference on Sustainable Infrastructure 2017 |
| Subtitle of host publication | Technology - Proceedings of the International Conference on Sustainable Infrastructure 2017 |
| Publisher | American Society of Civil Engineers (ASCE) |
| Pages | 258-269 |
| Number of pages | 12 |
| ISBN (Electronic) | 9780784481219 |
| DOIs | |
| State | Published - Jan 1 2017 |
| Event | 2017 International Conference on Sustainable Infrastructure: Technology, ICSI 2017 - New York, United States Duration: Oct 26 2017 → Oct 28 2017 |
Other
| Other | 2017 International Conference on Sustainable Infrastructure: Technology, ICSI 2017 |
|---|---|
| Country | United States |
| City | New York |
| Period | 10/26/17 → 10/28/17 |
Fingerprint
ASJC Scopus subject areas
- Civil and Structural Engineering
- Renewable Energy, Sustainability and the Environment
- Management of Technology and Innovation
- Safety, Risk, Reliability and Quality
Cite this
Numerical modeling of early bio-contamination in a water distribution system and comparison with laboratory experiments. / Tinelli, S.; Juran, Ilan.
International Conference on Sustainable Infrastructure 2017: Technology - Proceedings of the International Conference on Sustainable Infrastructure 2017. American Society of Civil Engineers (ASCE), 2017. p. 258-269.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Numerical modeling of early bio-contamination in a water distribution system and comparison with laboratory experiments
AU - Tinelli, S.
AU - Juran, Ilan
PY - 2017/1/1
Y1 - 2017/1/1
N2 - This paper aims to develop and demonstrate the technical feasibility of prototype system for early bio-contamination detection that will efficiently enable water operators to ensure real-time water quality control management, as well as a preemptive risk management and consumers' warning. The deployment of state-of-the-art and mono/multi-parameter systems for sensors' health monitoring provide the operators with innovative reliable capabilities to ensure early microbial contamination detection, efficiently filter false alarms, undertake preemptive incident mitigation measures and monitor their impacts. Due to lack of labeled water bio-contamination data, numerical models (EPANET-MSX) have been used for bio-contamination scenario simulations of Escherichia coli (E. coli) injections into a water distribution network modeled with EPANET. The monitored effect on water quality parameters, as free chlorine and total chlorine, are compared with laboratory results obtained at the University of Lille. The outcome has demonstrated the feasibility of using the on-line monitoring of water quality parameters for real time bio-contamination detection and mitigation impacts monitoring.
AB - This paper aims to develop and demonstrate the technical feasibility of prototype system for early bio-contamination detection that will efficiently enable water operators to ensure real-time water quality control management, as well as a preemptive risk management and consumers' warning. The deployment of state-of-the-art and mono/multi-parameter systems for sensors' health monitoring provide the operators with innovative reliable capabilities to ensure early microbial contamination detection, efficiently filter false alarms, undertake preemptive incident mitigation measures and monitor their impacts. Due to lack of labeled water bio-contamination data, numerical models (EPANET-MSX) have been used for bio-contamination scenario simulations of Escherichia coli (E. coli) injections into a water distribution network modeled with EPANET. The monitored effect on water quality parameters, as free chlorine and total chlorine, are compared with laboratory results obtained at the University of Lille. The outcome has demonstrated the feasibility of using the on-line monitoring of water quality parameters for real time bio-contamination detection and mitigation impacts monitoring.
UR - http://www.scopus.com/inward/record.url?scp=85035118559&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85035118559&partnerID=8YFLogxK
U2 - 10.1061/9780784481219.023
DO - 10.1061/9780784481219.023
M3 - Conference contribution
AN - SCOPUS:85035118559
SP - 258
EP - 269
BT - International Conference on Sustainable Infrastructure 2017
PB - American Society of Civil Engineers (ASCE)
ER -