Groundwater contaminant source identification using swarm intelligence-based simulation optimization models.

In this study, a linked simulation optimization (SO) model is presented for identification of groundwater contaminant sources. The SO model consists of two steps namely, simulation and optimization. The simulation step entails developing a groundwater contaminant transport model in which the advection-dispersion-reaction equation (ADRE) is solved for predicting the concentration of the contaminant.

Investigations on the saline groundwater pumping method and its impact on active saltwater intrusion on a layered aquifer system.

Active saltwater intrusion (ASWI) accelerates and intensifies salinization due to buoyancy force-induced density differences and concurrent inland fresh groundwater flow. This study investigates saline groundwater (SGW) pumping as a remediation technique for ASWI through experimental and field-scale analyses in a layered aquifer system characterised by diminishing permeability with depth. Experiments demonstrated that higher permeability layers reduced length of intrusion (Ltoe) whereas lower permeability layers restricted vertical displacement.

A coupled flow and transport model for simulation of multi-species reactive transport in unconfined aquifer using meshless local Petrov Galerkin (MLPG) method.

An understanding of natural degradation of multiple reactive contaminants in the aquifers is essential before designing the monitoring or remediation programs for polluted aquifers. Since such reactive contaminants are ubiquitous, a number of research works has been performed in the past three decades for the modelling of multi-species reactive transport (MSRT) phenomenon. The widely used finite difference method (FDM) and finite element method (FEM)-based models suffer a drawback of relying on a grid/mesh, which makes the solution unstable.

Two-step approach based multi-objective groundwater remediation using enhanced random vector functional link integrated with evolutionary marine predator algorithm.

We here propose a two-step approach-based simulation-optimization model for multi-objective groundwater remediation using enhanced random vector functional link (ERVFL) and evolutionary marine predator algorithm (EMPA). In this study, groundwater flow and solute transport models are developed using MODFLOW and MT3DMS. The ERVFL network is used to approximate the flow and transport models, enhancing the computational performance.

Analytical modeling of contaminant transport along sloping coastal beaches in presence of tidal waves and exponential rainfall infiltration.

Coastal beaches are the most important part of the marine environment and are highly influenced by the interactions taking place between groundwater and surface water of any form. Generally, the purity index of the groundwater is based on the concentration of Total Dissolved Solids (TDS) in it. Analytical solutions are the best tools for groundwater flow and transport modeling.