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

This study focuses on the development of a next generation multiobjective evolutionary
algorithm (MOEA) that can learn and exploit complex interdependencies and/or correlations …

The literature on the application of simulation-optimization approaches for management and
monitoring of coastal aquifers is reviewed. Both sharp-and dispersive-interface modeling …

A detailed knowledge of the stable isotope signature of precipitation is the basis of
investigations in a variety of scientific fields and applications. To obtain robust and reliable …

The identification of unknown pollution sources is a prerequisite for designing of a
remediation strategy. In most of the real world situations, it is difficult to identify the pollution …

One of the difficulties in accurate characterization of unknown groundwater pollution sources
is the uncertainty regarding the number and the location of such sources. Only when the …

Often, when pollution is rst detected in groundwater, very few spatiotemporal pollutant
concentration measurements are available. The contaminant concentration measurement …

Rainfall data are an essential input for many simulation models. In fact, these latter have a
decisive role in the development and application of rational water policies. Since the …

This paper presents a new methodology for the optimal design of space–time hydraulic
head monitoring networks and its application to the Valle de Querétaro aquifer in Mexico …

This study reviews the methods used to determine the cost‐effectiveness of monitoring plans
for hazards in animals (diseases), plants (pests), soil, water, food, and animal feed, and …