River‐groundwater interactions are at the core of a wide range of major contemporary
challenges, including the provision of high‐quality drinking water in sufficient quantities, the …

The purpose of this survey is to review parameter identification procedures in groundwater
hydrology and to examine computational techniques which have been developed to solve …

This study quantitatively estimates the spatial distribution of anthropogenic methane sources
in the United States by combining comprehensive atmospheric methane observations …

Geographical information systems could be improved by adding procedures for
geostatistical spatial analysis to existing facilities. Most traditional methods of interpolation …

Understanding spatial statistics requires tools from applied and mathematical statistics,
linear model theory, regression, time series, and stochastic processes. It also requires a …

Engineers and applied geophysicists routinely encounter interpolation and estimation
problems when analysing data from field observations. Introduction to Geostatistics presents …

In the mid-seventies, a new area of research has emerged in subsurface hydrology, namely
sto chastic modeling of flow and transport. This development has been motivated by the …

Integrated, process‐based numerical models in hydrology are rapidly evolving, spurred by
novel theories in mathematical physics, advances in computational methods, insights from …

Parameter identification is an essential step in constructing a groundwater model. The
process of recognizing model parameter values by conditioning on observed data of the …

In this series of three papers a method is presented to estimate the parameters of
groundwater flow models under steady and nonsteady state conditions. The parameters …