Pollution Source Identification in Groundwater Systems: Application of Regret Theory and Bayesian Networks

Bashi-Azghadi, Seyyed Nasser; Kerachian, Reza; Bazargan‐Lari, Mohammad Reza; Nikoo, Mohammad Reza

doi:10.1007/s40996-016-0022-3

Cited by 20 publications

(6 citation statements)

References 31 publications

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“…The spatial distribution between USTs and groundwater sources significantly influences the TPH concentrations in groundwater systems [ 52 ]. According to Harris et al [ 9 ], it is recommended to maintain a minimum distance of 100 m between underground storage tanks (USTs) and groundwater sources.…”

Section: Resultsmentioning

confidence: 99%

Contamination of groundwater by petroleum hydrocarbons: Impact of fuel stations in residential areas

Fei-Baffoe,

Badu,

Miezah

et al. 2024

Heliyon

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Section: Resultsmentioning

confidence: 99%

Contamination of groundwater by petroleum hydrocarbons: Impact of fuel stations in residential areas

Fei-Baffoe,

Badu,

Miezah

et al. 2024

Heliyon

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“…A slightly modified version of the calibrated and validated model has been utilized in this study. Nondominated Sorting Genetic Algorithm II (NSGA‐II) is a fast and population‐based optimization technique that has received increasing attention due to its rapidity in handling complex real‐world aquifers (Tabari and Soltani ; Bashi‐Azghadi et al ; Triki et al ).…”

Section: Optimization Model For the Castr Planningmentioning

confidence: 99%

Optimal Location of Wells for Storage and Recovery of Surplus Desalinated Water in Coastal Aquifers

et al. 2019

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Storage of water in aquifers using injection wells is an efficient way for utilizing excess desalinated water in arid regions. In this investigation we estimate the benefits of optimally recharging seasonal surplus desalinated water into a strategic coastal aquifer already benefitting from natural recharge of flash‐floods water by a recharge dam. Since, usually the buyers of desalinated water commit to purchase surplus desalinated water under take‐or‐pay contracts, any attempt in utilizing the paid water is beneficial. Coastal cities are observing an increased urbanization leaving limited space for aquifer recharge infrastructure. In order to determine the optimal location of wells and maximize the use of surplus desalinated water available in winter period, a decision tool combining a numerical groundwater flow simulation model (MODFLOW) with an optimization model is developed. The results of this study show that increasing the number of wells from the existing 45 wells to 173 would allow storing 31.4 million cubic meter per year of excess desalinated water into the aquifer that can be used during later during summer months. The net benefit would reach US$55 million/year while the cost of drilling the new wells is US$5.11 million.

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“…The accuracy and efficiency of this approach are demonstrated through numerical case studies. In Ref [], the author presents a new regret‐based optimization model that minimizes the number of monitoring wells and average regret in estimating undetected polluted area. A Monte Carlo analysis is used to consider existing uncertainties in both pollution source characteristics and parameters of groundwater quality simulation model.…”

Section: Introductionmentioning

confidence: 99%

Contaminant source identification of water distribution networks using cultural algorithm

Yan

Gong

2017

Concurrency and Computation

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Summary In recent years, the drinking water pollution incident occurred frequently, a serious threat to social stability and security. By using the sensor networks real‐time monitoring the urban water supply networks, the water pollution event probability can be greatly reduced. But knowing how to use the water quality monitor sensor networks to collect information to identify pollution sources is still a challenging problem. In this paper, we formulate the contaminant source identification problem into an optimization problem, and then design the cultural algorithm to solve it by considering different sizes of water supply networks as the experimental data. Finally, the experimental results verify the effectiveness and robustness of the proposed method.

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Pollution Source Identification in Groundwater Systems: Application of Regret Theory and Bayesian Networks

Cited by 20 publications

References 31 publications

Contamination of groundwater by petroleum hydrocarbons: Impact of fuel stations in residential areas

Contamination of groundwater by petroleum hydrocarbons: Impact of fuel stations in residential areas

Optimal Location of Wells for Storage and Recovery of Surplus Desalinated Water in Coastal Aquifers

Contaminant source identification of water distribution networks using cultural algorithm

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