Inverse modeling of contaminant transport for pollution source identification in surface and groundwaters: a review

MB Moghaddam, M Mazaheri, JMV Samani - Groundwater for Sustainable …, 2021 - Elsevier
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 …

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 …

New approach for point pollution source identification in rivers based on the backward probability method

J Wang, J Zhao, X Lei, H Wang - Environmental pollution, 2018 - Elsevier
Pollution risk from the discharge of industrial waste or accidental spills during transportation
poses a considerable threat to the security of rivers. The ability to quickly identify the …

Identification of source information for sudden water pollution incidents in rivers and lakes based on variable-fidelity surrogate-DREAM optimization

W Wu, J Ren, X Zhou, J Wang, M Guo - Environmental Modelling & …, 2020 - Elsevier
For sudden water pollution incidents in rivers and lakes, the ability to quickly identify the
pollution source is of great importance for providing early accident warning and …

Multi-point source identification of sudden water pollution accidents in surface waters based on differential evolution and Metropolis–Hastings–Markov Chain Monte …

H Yang, D Shao, B Liu, J Huang, X Ye - … Environmental Research and Risk …, 2016 - Springer
Sudden water pollution accidents in surface waters occur with increasing frequency. These
accidents significantly threaten people's health and lives. To prevent the diffusion of …

An effective method for point pollution source identification in rivers with performance-improved ensemble Kalman filter

J Wang, J Zhao, X Lei, H Wang - Journal of Hydrology, 2019 - Elsevier
To manage a river sudden pollution incident, a fundamental task is to quickly identify when,
where, and how much pollutant was released. The source identification of this kind of …

An adaptive Bayesian inference algorithm to estimate the parameters of a hazardous atmospheric release

H Rajaona, F Septier, P Armand, Y Delignon… - Atmospheric …, 2015 - Elsevier
In the eventuality of an accidental or intentional atmospheric release, the reconstruction of
the source term using measurements from a set of sensors is an important and challenging …

A fast mobile early warning system for water quality emergency risk in ungauged river basins

Y Wang, W Zhang, BA Engel, H Peng, L Theller… - … Modelling & Software, 2015 - Elsevier
Environmental decision support system (EDSS) has become an important research topic in
the fields of water environment protection and emergency early warning. Most existing …

Identification framework of contaminant spill in rivers using machine learning with breakthrough curve analysis

S Kwon, H Noh, IW Seo, SH Jung, D Baek - International Journal of …, 2021 - mdpi.com
To minimize the damage from contaminant accidents in rivers, early identification of the
contaminant source is crucial. Thus, in this study, a framework combining Machine Learning …

Hybrid algorithm of minimum relative entropy-particle swarm optimization with adjustment parameters for gas source term identification in atmosphere

D Ma, S Wang, Z Zhang - Atmospheric environment, 2014 - Elsevier
In order to identify the source term of gas emission in atmosphere, an improved hybrid
algorithm combined with the minimum relative entropy (MRE) and particle swarm …