Impact Coefficient Evaluation for Sensor Location in Sewer Systems

Identification and control of the pollutant load in sewer networks (SNs) are among the priorities for utilities to reduce the impact on water bodies and to individuate the presence of pathogens to prevent their further spread, sometimes through interventions on a social scale. This goal can be achie...

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Bibliographic Details
Published in:Journal of water resources planning and management 2023-11, Vol.149 (11)
Main Authors: Guadagno, Valeria, Del Giudice, Giuseppe, Di Cristo, Cristiana, Leopardi, Angelo, Simone, Antonietta
Format: Article
Language:English
Subjects:
Coefficients
Computing time
Contaminants
Dilution
Methodology
Methods
Monitoring
Monitoring systems
Pathogens
Pollutant load
Pollution control
Pollution load
Sewer systems
Steady state
Water resources management
Water utilities
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Summary:Identification and control of the pollutant load in sewer networks (SNs) are among the priorities for utilities to reduce the impact on water bodies and to individuate the presence of pathogens to prevent their further spread, sometimes through interventions on a social scale. This goal can be achieved essentially through the development of a monitoring system. This paper proposes a backtracking methodology for efficiently planning a monitoring system in SNs assuming steady-state conditions during the analysis. The methodology is based on the calculation of the impact coefficient, which is related to the dilution and decay of contaminants and pathogens in the network, to evaluate the impact of each possible contaminated node on a downstream one in terms of concentration. This information supports the identification of candidate monitoring points, i.e., where to place measurement sensors to ensure complete coverage and control of the network. Additional analysis has been performed considering unsteady conditions for comparing the impact coefficient values averaged over 24 h and those of the steady-state methodology. Results show a similar value between steady-state and unsteady conditions, thus justifying the use of steady-state conditions for the proposed methodology, and also for real practical applications, with a significant improvement in terms both of simplicity and computational time saving.
ISSN:0733-9496
1943-5452
DOI:10.1061/JWRMD5.WRENG-6093