A review of GIS-integrated statistical techniques for groundwater quality evaluation and protection
Water quality evaluation is critically important for the protection and sustainable
management of groundwater resources, which are variably vulnerable to ever-increasing …
management of groundwater resources, which are variably vulnerable to ever-increasing …
Inverse modeling of contaminant transport for pollution source identification in surface and groundwaters: a review
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 …
task in water resources management, in which the characteristics of unknown pollution …
State of the art report on mathematical methods for groundwater pollution source identification
J Atmadja, AC Bagtzoglou - Environmental forensics, 2001 - Elsevier
The reliable assessment of hazards or risks arising from groundwater contamination
problems and the design of efficient and effective techniques to mitigate these problems …
problems and the design of efficient and effective techniques to mitigate these problems …
Estimation of historical groundwater contaminant distribution using the adjoint state method applied to geostatistical inverse modeling
AM Michalak, PK Kitanidis - Water resources research, 2004 - Wiley Online Library
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 …
modeling methods have been developed to address forensic groundwater problems. In this …
Contaminant source identification in aquifers: A critical view
JJ Gómez-Hernández, T Xu - Mathematical Geosciences, 2022 - Springer
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 …
exponentially in number but seems to be stalled concerning advancement towards the …
A geostatistical approach to surface flux estimation of atmospheric trace gases
AM Michalak, L Bruhwiler… - Journal of Geophysical …, 2004 - Wiley Online Library
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 …
gases such as CFCs, CH4, and CO2 on the basis of atmospheric mass fraction …
Large‐scale hydraulic tomography and joint inversion of head and tracer data using the principal component geostatistical approach (PCGA)
J Lee, PK Kitanidis - Water Resources Research, 2014 - Wiley Online Library
The stochastic geostatistical inversion approach is widely used in subsurface inverse
problems to estimate unknown parameter fields and corresponding uncertainty from noisy …
problems to estimate unknown parameter fields and corresponding uncertainty from noisy …
Analyzing bank filtration by deconvoluting time series of electric conductivity
Knowing the travel‐time distributions from infiltrating rivers to pumping wells is important in
the management of alluvial aquifers. Commonly, travel‐time distributions are determined by …
the management of alluvial aquifers. Commonly, travel‐time distributions are determined by …
Application of a genetic algorithm to groundwater pollution source identification
K Han, R Zuo, P Ni, Z Xue, D Xu, J Wang, D Zhang - Journal of Hydrology, 2020 - Elsevier
The accurate identification of groundwater pollution sources is the key to site remediation
and management, which directly relates to the cost and effect of remediation during later …
and management, which directly relates to the cost and effect of remediation during later …
Recent developments in fast and scalable inverse modeling and data assimilation methods in hydrology
The last twenty years have brought significant advances in hydrology and hydrogeology,
especially in the area of data availability and predictive modeling capabilities. Remote …
especially in the area of data availability and predictive modeling capabilities. Remote …