New coefficient for water quality modelling in meandering rivers: Fatigue Factor

Water quality sensors are one of the most effective ways to minimize the catastrophic consequences of pollution in water distribution networks (WDNs). The main challenge is arranging sensors properly in the network. In this study, the NSGA-III algorithm is developed to improve the optimal locations of sensors by balancing four conflicting objectives. 1. Detection likelihood, 2. Expected detection time, 3. Detection redundancy, and 4. The affected nodes before detection. The proposed procedure is based on chlorine concentration variation between defined upper and lower limits. The upper and lower bounds of chlorine concentration were determined utilizing the Monte Carlo simulator. To deal with the problem of a large size matrix of possible contaminants a heuristic method was utilized for selecting a representative collection of contaminations with the same characteristics and effects. Importance coefficients were introduced to avoid the same importance of contamination events and network nodes. The proposed simulation-optimization approach was tested on the benchmark and real water networks, then the optimal Pareto fronts were computed for each of the two sets of conflicting objectives.Moreover, the sensitivity analysis related to the number of sensors installed in the networks was conducted for the results obtained from different objective functions. According to the sensitivity analysis, the Pareto fronts became more efficient when the number of sensors increased. Also increasing the number of sensors to more than 10 and 15 in the benchmark and real systems, respectively, will provide little additional detection likelihood.

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Selecting the best location of water quality sensors in water distribution networks by considering the importance of nodes and contaminations using NSGA-III (case study: Zahedan water distribution network, Iran)

harif

Azizyan

Darmian

et al. 2023

Environ Sci Pollut Res

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Surface water quality modelling with data scarcity in semi-enclosed coastal regions encompassed distributed islands

Hashemi Monfared,

Ahmadian,

Harbottle

et al. 2024

Estuarine, Coastal and Shelf Science

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Application of genetic programming in presenting novel equations for longitudinal dispersion coefficient in natural streams considering rivers geometry - Implementation in assimilation capacity simulation

Darmian

Schmalz

2023

Journal of Environmental Management

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New coefficient for water quality modelling in meandering rivers: Fatigue Factor

Cited by 3 publications

References 53 publications

Selecting the best location of water quality sensors in water distribution networks by considering the importance of nodes and contaminations using NSGA-III (case study: Zahedan water distribution network, Iran)

Selecting the best location of water quality sensors in water distribution networks by considering the importance of nodes and contaminations using NSGA-III (case study: Zahedan water distribution network, Iran)

Surface water quality modelling with data scarcity in semi-enclosed coastal regions encompassed distributed islands

Application of genetic programming in presenting novel equations for longitudinal dispersion coefficient in natural streams considering rivers geometry - Implementation in assimilation capacity simulation

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