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 …
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 …
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
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 …
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 …
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 …
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
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 …
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
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 …
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 …
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
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 …
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 …
algorithm combined with the minimum relative entropy (MRE) and particle swarm …