In heterogeneous porous aquifers, simulations and predictions of groundwater flow and
solute (contaminant) transport require detailed knowledge of aquifer parameters and their …

The outbreak of the coronavirus disease 2019 (Covid-19) pandemic not only has created a
health crisis across the world but is also expected to impact negatively the global economy …

Stochastic Subsurface Hydrogeology is the study of subsurface, geological heterogeneity,
and its effects on flow and transport process, using probabilistic and geostatistical concepts …

The state of the groundwater inverse problem is synthesized. Emphasis is placed on aquifer
characterization, where modelers have to deal with conceptual model uncertainty (notably …

A complete treatment of the theory and practice of groundwater engineering, The Handbook
of Groundwater Engineering, Second Edition provides a current and detailed review of how …

An equation is derived through which the variance of predictive error of a calibrated model
can be calculated. This equation has two terms. The first term represents the contribution to …

Groundwater Age is the first book of its kind that incorporates and synthesizes the state-of-
the-art knowledge about the business of groundwater dating-including historical …

Uncertainties in hydrologic parameters could have significant impacts on the simulated
water and energy fluxes and land surface states, which will in turn affect atmospheric …

The quasi‐linear geostatistical approach is for weakly nonlinear underdetermined inverse
problems, such as Hydraulic Tomography and Electrical Resistivity Tomography. It provides …

Artificial neural networks act as universal function approximators. This makes them useful in
modeling problems in which the relation between dependent and independent variables is …