Managing saltwater intrusion using conjugate sharp interface and density dependent models linked with pumping optimization

Dey, Subhajit; Prakash, Om

doi:10.1016/j.gsd.2020.100446

Cited by 9 publications

(6 citation statements)

References 35 publications

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“…In a study on the Puri aquifer, Dey and Prakash simulated saline water and optimized the number and location of pumping wells. They showed that in addition to doubling the pumping speed, further infiltration of saline water into the aquifer could be prevented by using the optimal model [23]. Fan et al presented a simulation-optimization method applied to Longkou city, China, with the aim of maximizing groundwater exploitation and minimizing seawater intrusion.…”

Section: Literature Reviewmentioning

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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Section: Literature Reviewmentioning

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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“…Simulation‐optimization (SO) frameworks have been proven to be effective tools to identify optimal groundwater management strategies (Baù & Mayer, 2006; Christelis & Mantoglou, 2019; Dey & Prakash, 2020; Mayer et al., 2002; Rajabi & Ketabchi, 2017; D. K. Roy & Datta, 2020). A SO framework is typically characterized by three components: an optimization formulation to the groundwater management problem, a process‐based groundwater simulation model and an optimization algorithm.…”

Section: Introductionmentioning

confidence: 99%

“…A second group considers restrictions to SWI due to aquifer pumping, typically formulated in relation to groundwater salinity. Groundwater salinity constraints have been expressed in terms of freshwater‐saltwater interface location when neglecting solute dispersion effects, as at regional aquifer scales, which have allowed to adopt “sharp‐interface” models (Christelis & Mantoglou, 2016; Dey & Prakash, 2020; Ferreira da Silva & Haie, 2007; Kopsiaftis et al., 2019; Stratis et al., 2017). At smaller aquifer scales, where the assumption of miscible freshwater and saltwater is needed, salinity constraints have been prescribed as salt concentration limits at control points, such as pumping wells or monitoring wells, which have required the use of variable density flow models that are more complex and computationally more expensive than sharp‐interface models (Christelis & Mantoglou, 2019).…”

Section: Introductionmentioning

confidence: 99%

Investigating the Impact of Seawater Intrusion on the Operation Cost of Groundwater Supply in Island Aquifers

Yu,

Baù,

Mayer

et al. 2023

Water Resources Research

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Managing fragile island freshwater resources requires identifying pumping strategies that trade off the financial cost of groundwater supply against controlling the seawater intrusion (SWI) associated with aquifer pumping. In this work, these tradeoffs are investigated through a sensitivity analysis conducted in the context of an optimization formulation of the groundwater management problem, which aims at minimizing the groundwater supply operation cost associated with groundwater pumping and desalination treatment, subject to constraints on SWI control, as quantified by the water table drawdown over the well (∆s), the reduction in freshwater volume (∆FV) in the aquifer, or the salt mass increase (∆SM) in the aquifer. This study focuses on a simplified two‐dimensional model of the San Salvador Island aquifer (Bahamas). Pumping strategies are characterized by the distance of the pumping system from the shoreline (WL), the abstraction screen depth (D) and overall pumping rate (Q), constituting the decision variables of the optimization problem. We investigate the impacts of pumping strategies on the operation cost, ∆s, ∆FV and ∆SM. Findings indicate increasing D or decreasing WL reduces ∆s, ∆FV and ∆SM, thus preserving the aquifer hydrogeologic stability, but also leads to extracting saltier groundwater, thus increasing the water treatment requirements, which have a strong impact on the overall groundwater supply cost. From a financial perspective, groundwater abstraction near the island center and at shallow depths seems the most convenient strategy. However, the analysis of the optimization constraints reveals that strategies where the pumping system approaches the island center tend to cause more severe SWI, highlighting the need to trade off groundwater supply cost against SWI control.

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“…To the best of our knowledge only a few studies in density-driven groundwater flow systems implement a fusion of HF and LF model data for computationally expensive simulation frameworks, and these are mostly found in seawater intrusion modeling (e.g. Kerrou and Renard, 2010;Christelis andMantoglou, 2016, 2019;Dey and Prakash, 2020;Christelis, 2021). In general, multifidelity surrogate models have been less popular than surrogates of a single high-fidelity model in past groundwater and environmental modeling studies (Razavi et al, 2012a;Asher et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Multifidelity Surrogate Models for Efficient Uncertainty Propagation Analysis in Salars Systems

Christelis

Hughes

2022

Front. Water

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Salars are complex hydrogeological systems where the high-density contrasts require advanced numerical models to simulate groundwater flow and brine transport. Applying those models over large spatial and temporal scales is important to understand the various subsurface processes in salars, but the associated computational cost hinders an analysis based on repetitive numerical simulations. Single fidelity surrogate modeling is a common approach to alleviate computational burden with computationally expensive physics-based models of high-fidelity. However, due to the complexity in salars modeling it might not be affordable to run high-fidelity simulations many times until we build a surrogate model of acceptable accuracy. Here, we investigate if multifidelity surrogate methods, that exploit information from inexpensive lower fidelity models, can show promise for computationally demanding tasks for salars systems. Additive, multiplicative and co-Kriging multifidelity surrogates are developed based on the combination of training data from low fidelity sharp interface models and a higher fidelity variable-density flow and solute transport model. Their performance is compared against a single fidelity Kriging surrogate model, and they are all employed to conduct a Monte-Carlo-based uncertainty propagation analysis where recharge, hydraulic conductivity and density differences between freshwater and brine are considered uncertain model inputs. Results showed that multifidelity methods are a promising alternative for time-intensive numerical models of salars under limited high-fidelity samples. In addition, sharp interface models, despite commonly used in coastal aquifer problems, can also be applied in salars modeling as cheap lower fidelity models for interface calculations via a multifidelity framework. The Monte-Carlo outputs based on the surrogate models, resulted in estimated probability density functions characterized by long tails, thus, highlighting the need to reduce parametric uncertainty in real world models of salars.

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Managing saltwater intrusion using conjugate sharp interface and density dependent models linked with pumping optimization

Cited by 9 publications

References 35 publications

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

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

Investigating the Impact of Seawater Intrusion on the Operation Cost of Groundwater Supply in Island Aquifers

Multifidelity Surrogate Models for Efficient Uncertainty Propagation Analysis in Salars Systems

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