|
[1]
|
Deciphering the distribution and enrichment of arsenic in geothermal water in the Red River Fault Zone, southwest China
Journal of Hazardous Materials,
2025
DOI:10.1016/j.jhazmat.2024.136756
|
|
|
|
|
[2]
|
A Comparative Analysis of Machine Learning Algorithms for Identifying Cultural and Technological Groups in Archaeological Datasets through Clustering Analysis of Homogeneous Data
Electronics,
2024
DOI:10.3390/electronics13142752
|
|
|
|
|
[3]
|
A semi-probabilistic Bayesian method to identify the number and location of potential sources in 3D unconfined aquifer using limited observed concentration
Journal of Contaminant Hydrology,
2024
DOI:10.1016/j.jconhyd.2024.104447
|
|
|
|
|
[4]
|
Identification of contaminant source and hydraulic conductivity field based on an ILUES-SOM surrogate model
Stochastic Environmental Research and Risk Assessment,
2023
DOI:10.1007/s00477-023-02415-2
|
|
|
|
|
[5]
|
Identification of contaminant source and hydraulic conductivity field based on an ILUES-SOM surrogate model
Stochastic Environmental Research and Risk Assessment,
2023
DOI:10.1007/s00477-023-02415-2
|
|
|
|
|
[6]
|
Inverse modeling of contaminant transport for pollution source identification in surface and groundwaters: a review
Groundwater for Sustainable Development,
2021
DOI:10.1016/j.gsd.2021.100651
|
|
|
|
|
[7]
|
Simultaneous identification of contaminant sources and hydraulic conductivity field by combining geostatistics method with self-organizing maps algorithm
Journal of Contaminant Hydrology,
2021
DOI:10.1016/j.jconhyd.2021.103815
|
|
|
|
|
[8]
|
Inverse modeling of contaminant transport for pollution source identification in surface and groundwaters: a review
Groundwater for Sustainable Development,
2021
DOI:10.1016/j.gsd.2021.100651
|
|
|
|
|
[9]
|
Simultaneous identification of contaminant sources and hydraulic conductivity field by combining geostatistics method with self-organizing maps algorithm
Journal of Contaminant Hydrology,
2021
DOI:10.1016/j.jconhyd.2021.103815
|
|
|
|
|
[10]
|
Evaluating Spatiotemporal Variations of Groundwater Quality in Northeast Beijing by Self-Organizing Map
Water,
2020
DOI:10.3390/w12051382
|
|
|
|
|
[11]
|
Solving Inverse Problems of Unknown Contaminant Source in Groundwater-River Integrated Systems Using a Surrogate Transport Model Based Optimization
Water,
2020
DOI:10.3390/w12092415
|
|
|
|
|
[12]
|
Evaluating Spatiotemporal Variations of Groundwater Quality in Northeast Beijing by Self-Organizing Map
Water,
2020
DOI:10.3390/w12051382
|
|
|
|
|
[13]
|
Solving Inverse Problems of Unknown Contaminant Source in Groundwater-River Integrated Systems Using a Surrogate Transport Model Based Optimization
Water,
2020
DOI:10.3390/w12092415
|
|
|
|
|
[14]
|
Identification of transient contaminant sources in aquifers through a surrogate model based on a modified self-organizing-maps algorithm
Hydrogeology Journal,
2019
DOI:10.1007/s10040-019-02003-1
|
|
|
|
|
[15]
|
Application of a link simulation optimization model utilizing quantification of hydrogeologic uncertainty to characterize unknown groundwater contaminant sources
Modeling Earth Systems and Environment,
2018
DOI:10.1007/s40808-018-0522-1
|
|
|
|