Multiple objective management strategies for coastal aqifers utilizing new surrogate models

Lal, Alvin, and Datta, Bithin (2018) Multiple objective management strategies for coastal aqifers utilizing new surrogate models. International Journal of Geomate, 15 (48). pp. 79-85.

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Abstract

Coastal aquifers are hydraulically connected to the sea and therefore susceptible to saltwater intrusion problems. This study proposes the utilization of a new surrogate model within coupled simulation-optimization (S/O) model for the management of coastal aquifers subjected to density-dependent saltwater intrusion processes. The simulation of the transient 3-dimensional density-dependent flow and transport model is based on the solution of an implemented numerical simulation model. Direct coupling of the numerical simulation model into the multi-objective genetic algorithm (MOGA) is computationally expensive. Hence, the solution of the numerical simulation model with random input variables are used to train and test the support vector machine regression (SVMR) surrogate models for approximately simulating the flow and transport processes. The performances of the new surrogate models are evaluated using various performance evaluation criteria. The resulting validated SVMR surrogate models are coupled to the MOGA and implemented for an illustrative coastal aquifer with an aim to develop efficient coastal aquifer management strategies. Based on the objective functions, execution of S/O model presented a set of optimal groundwater withdrawal rates from the simulated aquifer. It also ensured salinity levels at the designated monitoring wells are constrained within specified limits. The efficiency of the new SVMR surrogate models is also demonstrated. Evaluation results suggested that the projected S/O model is an effective way of developing feasible and reliable coastal aquifer management strategies. It also enhances the possibility of solving more realistic large-scale problems and developing regional-scale coastal aquifer management methodologies.

Item ID: 54013
Item Type: Article (Research - C1)
ISSN: 2186-2990
Keywords: coastal aquifers, density-dependent flow and transport model, multi-objective, surrogate models
Date Deposited: 13 Jun 2018 07:32
FoR Codes: 09 ENGINEERING > 0905 Civil Engineering > 090509 Water Resources Engineering @ 100%
SEO Codes: 96 ENVIRONMENT > 9609 Land and Water Management > 960999 Land and Water Management of Environments not elsewhere classified @ 100%
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