Development of Multiobjective Management Models for Coastal Aquifers

Das, Amlan; Datta, Bithin

doi:10.1061/(asce)0733-9496(1999)125:2(76)

Cited by 90 publications

(49 citation statements)

References 21 publications

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“…Generally, this problem force the group of the researchers (e.g. Das and Datta (1999a;1999b), Rao et al (2004), Bhattacharjya and Datta (2005;2009), (Dhar and Datta, 2009), Sreekanth and Datta (2010;2011a;2011b) and Kourakos and Mantoglou (2009;2013)) to think about application of intelligent techniques to work as an alternative for the simulation model to alleviate this data processing burden. They used Artificial neural network (ANN), Genetic Programming (GP) and Modular Neural Network (MNN) as the common surrogate models.…”

Section: Introductionmentioning

confidence: 99%

A surrogate model for simulation–optimization of aquifer systems subjected to seawater intrusion

Hussain

Javadi

Ahangar‐Asr

et al. 2015

Journal of Hydrology

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This study presents the application of Evolutionary Polynomial Regression (EPR) as pattern recognition system to predicate the numerical results of nonlinear and computationally complex aquifer system threatened by seawater intrusion (SWI). The developed EPR models are also linked with the multi objective genetic algorithm to test the efficiency of different arrangements of hydraulic barriers considered to control SWI. For this purpose the developed EPR model for each control scenario are trained and tested on the set of different pumping patterns as inputs and the corresponding set of numerically calculated outputs. The results are compared with those obtained by direct linking of the numerical simulation model with the optimization tool. These two strategies of the simulation-optimization (S/O) show excellent agreement on the obtained set of optimal solutions. The three combined management scenarios have been considered which involve the effects of both abstraction and recharge barriers simultaneously. Minimization of both the economic cost of management process and the salinity level in the aquifer are the two objective functions used for evaluating the cost efficiency of each management scenario studied. By considering the effects of the unsaturated zone, the subsurface pond is used to collect the water and to artificially recharge the aquifer in these scenarios. The main distinguish feature of EPR emerges in its application as metamodel in S/O process where it reduces the overall computational complexity significantly. The results also suggested that the application of cheap source of water such as the TWW and/or storm water instead of desalinated water coupled with continues abstraction water followed by its application for human consumption or irrigation after desalination as most cost effective method to control SWI. The effects of supplying these different external sources of recharge water and also the effects of different recovery ratios of desalination plant on the optimal results are also presented through sensitivity studies by using the developed methodology.

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Section: Introductionmentioning

confidence: 99%

A surrogate model for simulation–optimization of aquifer systems subjected to seawater intrusion

Hussain

Javadi

Ahangar‐Asr

et al. 2015

Journal of Hydrology

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“…One of these methods is the embedded optimization technique, where the governing equations representing the physical processes are embedded as binding constraints of the optimization model. As pointed out by Das and Datta (1999), embedded optimization models suffer from issues of computational feasibility, especially for large hydrogeologic systems. Therefore, a search for a more efficient computational approach towards developing groundwater quantity and quality models led to the more recent versions of the linked simulation optimization models for large-scale and longterm optimal management and remediation of contaminated aquifers.…”

Section: Introductionmentioning

confidence: 99%

Preface: Optimization for groundwater characterization and management

Datta

Kourakos

2015

Hydrogeol J

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“…This approach is valid only when the transition zone thickness is small compared to the aquifer thickness. The second approach, known as the disperse interface approach (Huyakorn et al, 1987;Das and Datta, 1999), explicitly represents the presence of this zone. In this approach, complete density dependent flow and transport equations are solved simultaneously.…”

Section: Introductionmentioning

confidence: 99%

Planning Groundwater Development in Coastal Deltas with Paleo Channels

Rao

Bhallamudi

Thandaveswara

et al. 2005

Water Resour Manage

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Abstract. In this study, a management model is presented for planning groundwater development in costal deltas with paleo channels. It is demonstrated that paleo channels are the best locations for locating the wells for large-scale pumping. Groundwater flow in these aquifers is simulated using a three-dimensional (3-D) density-dependent flow and transport model SEAWAT, which is suitable for a coastal and deltaic environment. A simulation-optimization model is used to determine the optimal locations and pumpages for groundwater development for a group of production wells, while limiting the salinity below desired levels. The mixed integer problem is solved using the Simulated Annealing algorithm and the SEAWAT simulation model. A trained Artificial Neural Network (ANN) is used as the virtual SEAWAT model to perform the simulations, in order to reduce the computational burden for application of the model on desktop computers. The applicability of the model is demonstrated on a hypothetical, but near-real, delta system.

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Development of Multiobjective Management Models for Coastal Aquifers

Cited by 90 publications

References 21 publications

A surrogate model for simulation–optimization of aquifer systems subjected to seawater intrusion

A surrogate model for simulation–optimization of aquifer systems subjected to seawater intrusion

Preface: Optimization for groundwater characterization and management

Planning Groundwater Development in Coastal Deltas with Paleo Channels

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