Groundwater potentiality mapping using ensemble machine learning algorithms for sustainable groundwater management

Aquifer Vulnerability Assessment for Sustainable Groundwater Management Using DRASTIC

Groundwater management and protection has been facilitated by computational modeling of aquifer vulnerability and monitoring aquifers using groundwater sampling. The DRASTIC (Depth to water, Recharge, Aquifer media, Soil media, Topography, Impact of vadose zone media, and hydraulic Conductivity) model, an overlay and index GIS model, has been used for groundwater quality assessment because it r...

Modelling groundwater-dependent vegetation patterns using ensemble learning

Vegetation patterns arise from the interplay between intraspecific and interspecific biotic interactions and from different abiotic constraints and interacting driving forces and distributions. In this study, we constructed an ensemble learning model that, based on spatially distributed environmental variables, could model vegetation patterns at the local scale. The study site was an alluvial f...

Dynamic optimal control for groundwater remediation management using genetic algorithms

Three-dimensional groundwater flow and solute transport models were combined within a genetic algorithm framework to solve the discrete-time, optimal control problem of pump-and-treat remediation management with multiple management periods. The results show that (a) a nonlinear concentration term in the performance index contributes significantly to remediation costs; (b) multiple management pe...

A Stochastic Optimization Model for Groundwater Management

Groundwater Level Mapping Using Multiple-Point Geostatistics

Methods based on two-point geostatistics have been routinely used to interpolate random variables such as groundwater level and concentration and to estimate their values at un-sampled locations. These methods use the observed data to analyze spatial two-point correlations and ignore the higher order moments that may play a key role in the characterization of complex patterns. In this work, a m...