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 …
Final value problem for nonlinear time fractional reaction–diffusion equation with discrete data
In this paper, we study the problem of finding the solution of a multi-dimensional time
fractional reaction–diffusion equation with nonlinear source from the final value data. We …
fractional reaction–diffusion equation with nonlinear source from the final value data. We …
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 …
Identification of groundwater pollution sources using GA-based linked simulation optimization model
The genetic algorithm (GA)–based simulation optimization approach is used for optimal
identification of unknown groundwater pollution sources. Simple as well as complex …
identification of unknown groundwater pollution sources. Simple as well as complex …
A hybrid simulation–optimization approach for solving the areal groundwater pollution source identification problems
MT Ayvaz - Journal of Hydrology, 2016 - Elsevier
In this study, a new simulation–optimization approach is proposed for solving the areal
groundwater pollution source identification problems which is an ill-posed inverse problem …
groundwater pollution source identification problems which is an ill-posed inverse problem …
Identification of unknown groundwater pollution sources using artificial neural networks
The temporal and spatial characterization of unknown groundwater pollution sources
remains an important problem in effective aquifer remediation and assessment of associated …
remains an important problem in effective aquifer remediation and assessment of associated …
地下水污染源识别的数学方法研究进展.
王景瑞， 胡立堂 - Advances in Water Science/Shuikexue …, 2017 - search.ebscohost.com
地下水污染源识别模型可利用有限的观测资料估计污染源位置, 污染物泄露强度及其泄露过程,
是制定地下水污染修复方案的依据. 在阐明地下水污染源识别基本问题基础上 …
是制定地下水污染修复方案的依据. 在阐明地下水污染源识别基本问题基础上 …
[HTML][HTML] 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 …
[PDF][PDF] Identification of contaminant sources in enclosed environments by inverse CFD modeling
In case contaminants are found in enclosed environments such as aircraft cabins or
buildings, it is useful to find the contaminant sources. One method to locate contaminant …
buildings, it is useful to find the contaminant sources. One method to locate contaminant …
Identification of unknown groundwater pollution sources using classical optimization with linked simulation
Identification of unknown groundwater pollution sources still remains a challenging problem.
Some of the complexities include: sparse observation data, substantial variation in …
Some of the complexities include: sparse observation data, substantial variation in …