研究论文
A deep adaptive bidirectional generative adversarial neural network (Bi-GAN) for groundwater contamination source estimation
Zidong Pan, Zhilin Guo, Kewei Chen, Wenxi Lu, Chunmiao Zheng
Southern University of Science and Technology Eastern Institute of Technology, Ningbo Jilin University
来源Journal of Hydrology
年份2025
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学术脉络
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工程Geophysical Methods and Applications
Groundwater flow and contamination studies · Seismic Imaging and Inversion Techniques
参考文献 88
Solving inverse problems of groundwater-pollution-source identification using a differential evolution algorithm
被引 64Gürhan Gürarslan, Halil Karahan · Hydrogeology Journal · 2015
Groundwater System Modeling for Simultaneous Identification of Pollution Sources and Parameters with Uncertainty Characterization
被引 59Divya Srivastava, Raj Mohan Singh · Water Resources Management · 2015
Parameter estimation and prediction for groundwater contamination based on measure theory
被引 16Steven Mattis, Troy Butler, Clint Dawson · Water Resources Research · 2015
此处列出前 3 条
引用本文 9
Joint identification of hydraulic conductivity and groundwater pollution sources using unscented Kalman smoother with multiple data assimilation and deep learning
被引 4Jiuhui Li, Zhengfang Wu, Shuo Zhang · Ecotoxicology and Environmental Safety · 2025
Uranium in-situ leaching: Combining conditional deep convolutional generative adversarial network (cDC-GAN) and ensemble smoother with multiple data assimilation (ES-MDA) to estimate the heterogeneous permeability coefficient field
被引 1Wen-gui Ji, Yue Luo, Bing Wang · Hydrometallurgy · 2026
Effects of permeability anisotropy and groundwater seepage on the seasonal performance of geothermal heat exchangers
被引 1Lingling Xu, Z. L. Zhang, Haonan Li · Case Studies in Thermal Engineering · 2025
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