During the last two decades, the water resources planning and management profession has
seen a dramatic increase in the development and application of various types of …

With rivers in critical regions already exploited to capacity throughout the world and
groundwater overdraft as well as large‐scale contamination occurring in many areas, we …

In the current literature, the life cycle, technoeconomic, and resource assessments of
microalgae-based biofuel production systems have relied on growth models extrapolated …

The groundwater system is often polluted by different sources of contamination where the
sources are difficult to detect. The presence of contamination in groundwater poses …

This study compares the performances of four state-of-the-art evolutionary multi-objective
optimization (EMO) algorithms: the Non-Dominated Sorted Genetic Algorithm II (NSGAII), the …

NASA's Gravity Recovery and Climate Experiment (GRACE) has already proven to be a
powerful data source for regional groundwater assessments in many areas around the …

Simple genetic algorithms have been used to solve many water resources problems, but
specifying the parameters that control how adaptive search is performed can be a difficult …

Identifying contaminant sources in groundwater is important for develo** effective
remediation strategies and identifying responsible parties in a contamination incident …

This study demonstrates the use of high-order Pareto optimization (ie, optimizing a system
for more than two objectives) on a long-term monitoring (LTM) application. The LTM …

This study contributes the Adaptive Strategies for Sampling in Space and Time (ASSIST)
framework for improving long‐term groundwater monitoring decisions across space and …