Water quality evaluation is critically important for the protection and sustainable
management of groundwater resources, which are variably vulnerable to ever-increasing …

Fast and accurate identification of unknown pollution sources is a crucial and challenging
task in water resources management, in which the characteristics of unknown pollution …

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 …

Surrogate models are commonly used in Bayesian approaches such as Markov Chain
Monte Carlo (MCMC) to avoid repetitive CPU‐demanding model evaluations. However, the …

This study proposes a linked simulation–optimization model for solving the unknown
groundwater pollution source identification problems. In the proposed model, MODFLOW …

In this study, an efficient full Bayesian approach is developed for the optimal sampling well
location design and source parameters identification of groundwater contaminants. An …

Forty years and 157 papers later, research on contaminant source identification has grown
exponentially in number but seems to be stalled concerning advancement towards the …

As the incidence frequency of groundwater pollution increases, many methods that identify
source characteristics of pollutants are being developed. In this study, a simulation …

Inverse modeling methods have been used to estimate surface fluxes of atmospheric trace
gases such as CFCs, CH4, and CO2 on the basis of atmospheric mass fraction …

The stochastic geostatistical inversion approach is widely used in subsurface inverse
problems to estimate unknown parameter fields and corresponding uncertainty from noisy …