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 …

Reduction in indoor environment quality calls for effective control and improvement
measures. Accurate and prompt identification of contaminant sources ensures that they can …

Parameter Estimation and Inverse Problems, Third Edition, is structured around a course at
New Mexico Tech and is designed to be accessible to typical graduate students in the …

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

The reliable assessment of hazards or risks arising from groundwater contamination
problems and the design of efficient and effective techniques to mitigate these problems …

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

As the incidence of groundwater contamination continues to grow, a number of inverse
modeling methods have been developed to address forensic groundwater problems. In this …

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 …

Various methods have been developed over the past five decades for dependence
modeling of multivariate variables in hydrology and water resources, but there has been no …

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 …