A simulation–optimization approach for optimal design of groundwater withdrawal wells’ location and pumping rate considering desalination constraints

Ghaseminejad, Ali; Shourian, Mojtaba

doi:10.1007/s12665-019-8273-5

Cited by 12 publications

(8 citation statements)

References 18 publications

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“…As a secondary goal, this study aims to minimize the energy expenditure involved in pumping from wells. Several key factors influence pumping cost, including the quantity of water to be lifted, its density, hydraulic head, pump efficiency, and the energy cost associated with pumping a given volume of groundwater per kilowatt-hour 13 , 21 . This study, however, excludes other costs from consideration.…”

Section: Methodsmentioning

confidence: 99%

“…For instance, Akbarpour et al 12 employed various algorithms, including genetic, particle swarm, and firefly algorithms, to optimize the pumping strategy of a hypothetical aquifer. Similarly, Ghaseminejad and Shourian 13 coupled a particle swarm algorithm with MODFLOW to determine the optimal location for a pumping well and flow rate that minimizes the costs related to drilling, delivery, and water treatment, ultimately reducing the cost of water extraction. Other researchers have used a combination of different optimization methods to address optimal groundwater resource management, water resource allocation, and groundwater management models 14 – 16 .…”

Section: Introductionmentioning

confidence: 99%

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Investigation of the emergency water supply schemes for youkou groundwater source field in Nanchang using a simulation–optimization model

Ma,

Wu,

et al. 2024

Sci Rep

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To enhance the resilience of Nanchang’s water supply system and ensure a dependable emergency water supply. Taking youkou emergency groundwater source field as an example, a flow simulation model was developed through an analysis of the hydrogeological conditions in the study area. Additionally, an optimization model based on the genetic algorithm (GA) technique was constructed and integrated into the flow simulation model. Subsequently, various water supply schemes were simulated with the minimum cost of groundwater extraction as the objective function. The results show that the values of the objective function were reduced by 4.92%, 15.67%, and 42.35% for the three different optimization schemes, namely pumping rates, joint pumping rates and the number of wells, and joint pumping rates, number of wells and well location. Ultimately, the optimal emergency water supply scheme was determined by considering a comprehensive range of factors. These factors encompassed considerations such as the area of the water level depression funnel, the dewatering thickness of the aquifer and the recovery of the groundwater level. The practice shows that the simulation–optimization model could effectively simulate complex groundwater flow systems, meeting the objective function and constraints toachieve the optimal exploitation scheme.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Investigation of the emergency water supply schemes for youkou groundwater source field in Nanchang using a simulation–optimization model

Ma,

Wu,

et al. 2024

Sci Rep

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show abstract

“…The results showed that the best solution was the conjunctive use of all available water resources in each zone [21]. Ghaseminejad and Shourian modeled the Sarakhs aquifer in Iran by combining MODFLOW and the PSO algorithm to determine the optimal location and pumping capacity to meet the existing water demand [15]. Using the integrated approach of SWAT_MODFLOW_PSO method, Sabzzadeh and Shourian estimated the optimal amount of exploitation from the Asman Abad aquifer in Iran by considering the maximum net profit from agricultural products as the objective function [22].…”

Section: Literature Reviewmentioning

confidence: 99%

“…In addition, evolutionary algorithms have been used on a large scale in the field of water resources management. The combination of simulation models with algorithms together has led to an increase in the performance of water resources models [8][9][10][11][12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Determining the Optimal Aquifer Exploitation under Artificial Recharge using the Combination of Numerical Models and Particle Swarm Optimization

et al. 2023

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Determining optimal exploitation from aquifers is always a major challenge, especially for aquifers facing a drop in their groundwater level. In aquifers with artificial recharge, more complex algorithms are required to determine the optimal exploitation amount. Therefore, in this study, the optimal amount of harvest from the exploitation wells has been determined using a combined simulation–optimization model considering the artificial recharge in Yasouj aquifer in Iran. The model is based on a combination of MODFLOW code and gene expression programming (GEP) simulator tool to simulate the aquifer and particle swarm optimization (PSO) to maximize the total exploitation from the aquifer. The simulation results showed that the artificial recharge was ineffective in maximum exploitation from the aquifer. As a result, considering several constraints, including the maximum pumping rate from the aquifer and the permissible drop in the groundwater level, the maximum exploitation from the aquifer was defined as the objective function. The optimization results showed that the optimal exploitation rate is equal to 8.84 million cubic meters (MCM) per year, and only 74% of the water from artificial recharge can be used based on this amount. Additionally, the most appropriate locations to exploit this amount of water are the northwest and east of the aquifer. According to the findings, it is suggested to ban exploitation from the central and southern parts of the aquifer due to the low groundwater level. The results of the sensitivity analysis show that the reduction in the maximum exploitation rate along with a 50% drop in the groundwater level play an effective role in decreasing the optimal exploitation amount.

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“…), using analytic element models to simulate an aquifer under limited and special conditions (Gaur et al, 2011;Majumder and Eldho, 2016, and etc. ), use meta-models to communicate between simulation and optimization models (Rogers and Dowla, 1994;Karamouz et al, 2007;Tabari, 2015;Alizadeh et al, 2017), create or modify MODFLOW and MT3DMS codes (Wang and Zheng, 1994;GAD and Khalaf, 2013;Elci and Tamer Ayvaz, 2014;Sreekanth et al, 2015;Luo et al, 2016;Ayvaz, 2016;Ghaseminejad and Shourian, 2019;Norouzi Khatiri et al, 2020 , and etc. ).…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimal model for sustainable management of groundwater resources in an arid and semiarid area using a coupled optimization-simulation modeling

Tabari

Eilbeigi

Chitsazan³

2021

Environ Sci Pollut Res

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Increased abstraction from the aquifer, in addition to the progressive drawdown of groundwater table can increase the concentration of pollutants. This research, optimal scenario for withdrawing water from wells is proposed for the aquifer sustainable development. The aquifer quantitative and qualitative simulation was carried out with the GMS model. The developed code in MATLAB2018b provides the link between the simulation and the NSGA-II optimization tools.Optimal scenario was chosen based on applying the Multiple-Criteria Decision Making (MCDM) and Berda Aggregation Method (BAM). The results show that reducing the current withdrawal rate to 51.55% can establish the quantitative and qualitative stability of the aquifer. The spatial and temporal distribution of nitrate concentration after applying the optimal discharge of wells shows that the nitrate concentration in central and eastern parts of the aquifer have greatly reduced. The developed structure can be used to improve the quantitative and qualitative status of any aquifer.

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A simulation–optimization approach for optimal design of groundwater withdrawal wells’ location and pumping rate considering desalination constraints

Cited by 12 publications

References 18 publications

Investigation of the emergency water supply schemes for youkou groundwater source field in Nanchang using a simulation–optimization model

Investigation of the emergency water supply schemes for youkou groundwater source field in Nanchang using a simulation–optimization model

Determining the Optimal Aquifer Exploitation under Artificial Recharge using the Combination of Numerical Models and Particle Swarm Optimization

Multi-objective optimal model for sustainable management of groundwater resources in an arid and semiarid area using a coupled optimization-simulation modeling

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