Planning groundwater development in coastal aquifers / Planification du développement de la ressource en eau souterraine des aquifères côtiers

Rao, S. V. N.; Sreenivasulu, V.; Bhallamudi, S. Murty; Thandaveswara, B. S.; Sudheer, K. P.

doi:10.1623/hysj.49.1.155.53999

Cited by 60 publications

(10 citation statements)

References 23 publications

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“…These equations are obtained by eliminating pressure between Equations (1) and (2) and solving for the respective head value [42]). The Seawat code has been successfully used to simulate and solve the issue of seawater intrusion in freshwater aquifers in many cases worldwide [45][46][47][48][49][50][51][52].…”

Section: The Seawat Softwarementioning

confidence: 99%

Simulation of Climate Change Impact on A Coastal Aquifer under Arid Climate. The Tadjourah Aquifer (Republic of Djibouti, Horn of Africa)

Razack

Jalludin²,

Houmed-Gaba³

2019

Water

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The Republic of Djibouti has an area of 23,000 km2, a coastline 370 km long and a population of 820,000 inhabitants. It experiences an arid climate characterized by high daytime temperatures and low and irregular rainfall (average of 140 mm/year), resulting in continuous periods of drought. These difficult climatic conditions and the absence of perennial surface water have progressively led to an intensive exploitation of groundwater to meet increasing water demands in all sectors (drinking water, agriculture and industries). In coastal areas, seawater intrusion constitutes a significant additional risk of groundwater degradation. This study is focused on the coastal aquifer of Tadjourah which supplies water to the city of Tadjourah, currently comprising 21,000 inhabitants. The main objective of this work is to assess the current resources of this aquifer; its capacity to satisfy, or not, the projected water demands during coming years; and to analyze its vulnerability to seawater intrusion within the frame of climate change. Three RCPs (Representative Concentration Pathway) were used to simulate different climate scenarios up to 2100. The simulated rainfall series allowed to deduce the aquifer recharge up to 2100. The code Seawat was used to model seawater intrusion into the aquifer, using the recharge data deduced from the climate scenarios. The results indicate that the risk of contamination of the Tadjourah coastal aquifer by seawater intrusion is high. The long-term and sustainable exploitation of this aquifer must take into consideration the impact of climate change.

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Section: The Seawat Softwarementioning

confidence: 99%

Simulation of Climate Change Impact on A Coastal Aquifer under Arid Climate. The Tadjourah Aquifer (Republic of Djibouti, Horn of Africa)

Razack

Jalludin²,

Houmed-Gaba³

2019

Water

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“…Dhar and Datta [47] used ANNs to approximate seawater intrusion model of FEMWATER and applied Non-dominated Sorting Genetic Algorithm II (NSGA-II) to solve the multi-objective functions. Rao et al [48] used the ANNs as the surrogate model to replace the SEAWAT model and combined it with the simulated annealing algorithm (SA) to solve the management problems of seawater intrusion. Christelis and Mantoglou [49] used the radial basis functions (RBF) as a surrogate model to emulate the scalar response of a multivariate function which can reduce 96% of computational time and combined RBF with evolutionary annealing-simplex algorithm in a pumping optimization problem.…”

Section: Introductionmentioning

confidence: 99%

A Simulation-Optimization Model for Seawater Intrusion Management at Pingtung Coastal Area, Taiwan

Huang

Chiu

2018

Water

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The coastal regions of Pingtung Plain in southern Taiwan rely on groundwater as their main source of fresh water for aquaculture, agriculture, domestic, and industrial sectors. The availability of fresh groundwater is threatened by unsustainable groundwater extraction and the over-pumpage leads to the serious problem of seawater intrusion. It is desired to find appropriate management strategies to control groundwater salinity and mitigate seawater intrusion. In this study, a simulation-optimization model has been presented to solve the problem of seawater intrusion along the coastal aquifers in Pingtung Plain and the objective is using injection well barriers and minimizing the total injection rate based on the predetermined locations of injection barriers. The SEAWAT code is used to simulate the process of seawater intrusion and the surrogate model of artificial neural networks (ANNs) is used to approximate the seawater intrusion (SWI) numerical model to increase the computational efficiency during the optimization process. The heuristic optimization scheme of differential evolution (DE) algorithm is selected to identify the global optimal management solution. Two different management scenarios, one is the injection barriers located along the coast and the other is the injection barrier located at the inland, are considered and the optimized results show that the deployment of injection barriers at the inland is more effective to reduce total dissolved solids (TDS) concentrations and mitigate seawater intrusion than that along the coast. The computational time can be reduced by more than 98% when using ANNs to replace the numerical model and the DE algorithm has been confirmed as a robust optimization scheme to solve groundwater management problems. The proposed framework can identify the most reliable management strategies and provide a reference tool for decision making with regard to seawater intrusion remediation.

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“…Bhattacharjya and Datta [19] employed an ANN model to approximate a density-dependent model in a genetic optimization framework. Rao et al [20] and Kourakos and Mantoglou [21] incorporated ANNs in a simulation-optimization scheme to replace the SEAWAT numerical code. Kourakos and Mantoglou [22] proposed a pumping optimization method based on modular neural networks and an Evolutionary Annealing Simplex optimization algorithm.…”

Section: Related Workmentioning

confidence: 99%

Gaussian Process Regression Tuned by Bayesian Optimization for Seawater Intrusion Prediction

Kopsiaftis

Protopapadakis

Voulodimos

et al. 2019

Computational Intelligence and Neuroscience

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Accurate prediction of the seawater intrusion extent is necessary for many applications, such as groundwater management or protection of coastal aquifers from water quality deterioration. However, most applications require a large number of simulations usually at the expense of prediction accuracy. In this study, the Gaussian process regression method is investigated as a potential surrogate model for the computationally expensive variable density model. Gaussian process regression is a nonparametric kernel-based probabilistic model able to handle complex relations between input and output. In this study, the extent of seawater intrusion is represented by the location of the 0.5 kg/m3 iso-chlore at the bottom of the aquifer (seawater intrusion toe). The initial position of the toe, expressed as the distance of the specific line from a number of observation points across the coastline, along with the pumping rates are the surrogate model inputs, whereas the final position of the toe constitutes the output variable set. The training sample of the surrogate model consists of 4000 variable density simulations, which differ not only in the pumping rate pattern but also in the initial concentration distribution. The Latin hypercube sampling method is used to obtain the pumping rate patterns. For comparison purposes, a number of widely used regression methods are employed, specifically regression trees and Support Vector Machine regression (linear and nonlinear). A Bayesian optimization method is applied to all the regressors, to maximize their efficiency in the prediction of seawater intrusion. The final results indicate that the Gaussian process regression method, albeit more time consuming, proved to be more efficient in terms of the mean absolute error (MAE), the root mean square error (RMSE), and the coefficient of determination (R2).

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Planning groundwater development in coastal aquifers / Planification du développement de la ressource en eau souterraine des aquifères côtiers

Cited by 60 publications

References 23 publications

Simulation of Climate Change Impact on A Coastal Aquifer under Arid Climate. The Tadjourah Aquifer (Republic of Djibouti, Horn of Africa)

Simulation of Climate Change Impact on A Coastal Aquifer under Arid Climate. The Tadjourah Aquifer (Republic of Djibouti, Horn of Africa)

A Simulation-Optimization Model for Seawater Intrusion Management at Pingtung Coastal Area, Taiwan

Gaussian Process Regression Tuned by Bayesian Optimization for Seawater Intrusion Prediction

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