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Akademický článek

Environmental risk evaluation for radionuclide transport through natural barriers of nuclear waste disposal with multi-scale streamline approaches.

Autor: Wang Z; College of Construction Engineering, Jilin University, Changchun, China; Institute of Intelligent Simulation and Early Warning for Subsurface Environment, Jilin University, Changchun, China., Jia S; School of Resources and Safety Engineering, Chongqing University, Chongqing, China. Electronic address: jiasd19@mails.jlu.edu.cn., Dai Z; College of Construction Engineering, Jilin University, Changchun, China; Institute of Intelligent Simulation and Early Warning for Subsurface Environment, Jilin University, Changchun, China; School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao, China. Electronic address: dzx@jlu.edu.cn., Yin S; Hebei State Key Laboratory of Mine Disaster Prevention, North China Institute of Science and Technology, Beijing, Yanjiao, China., Zhang X; College of Construction Engineering, Jilin University, Changchun, China; Institute of Intelligent Simulation and Early Warning for Subsurface Environment, Jilin University, Changchun, China., Yang Z; School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao, China., Thanh HV; Laboratory for Computational Mechanics, Institute for Computational Science and Artificial Intelligence, Van Lang University, Ho Chi Minh City, Viet Nam; MEU Research Unit, Middle East University, Amman, Jordan., Ling H; CNNC Key Laboratory on Geological Disposal of High-level Radioactive Waste, Beijing Research Institute of Uranium Geology, Beijing, China., Soltanian MR; Departments of Geosciences and Environmental Engineering, University of Cincinnati, OH, USA.

Publikováno v: The Science of the total environment [Sci Total Environ] 2024 Nov 25; Vol. 953, pp. 176084. Date of Electronic Publication: 2024 Sep 07.

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Akademický článek

Investigating the influence of bentonite colloids on strontium sorption in granite under various hydrogeochemical conditions.

Autor: Cai F; College of Construction Engineering, Jilin University, Changchun 130026, China., Ma F; College of Construction Engineering, Jilin University, Changchun 130026, China. Electronic address: mafn18@mails.jlu.edu.cn., Zhang X; College of Construction Engineering, Jilin University, Changchun 130026, China. Electronic address: xiaoyingzh@jlu.edu.cn., Reimus P; Los Alamos National Laboratory, Los Alamos, NM 87545, USA., Qi L; College of Construction Engineering, Jilin University, Changchun 130026, China., Wang Y; Institute of Nuclear and New Technology, Tsinghua University, Beijing 100084, China., Lu D; Yantai Customs Technology Center, Yantai 264000, China., Thanh HV; Laboratory for Computational Mechanics, Institute for Computational Science and Artificial Intelligence, Van Lang University, Ho Chi Minh City, Viet Nam; MEU Research Unit, Middle East University, Amman, Jordan., Dai Z; College of Construction Engineering, Jilin University, Changchun 130026, China.

Publikováno v: The Science of the total environment [Sci Total Environ] 2023 Nov 20; Vol. 900, pp. 165819. Date of Electronic Publication: 2023 Jul 26.

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Akademický článek

Improving predictions of shale wettability using advanced machine learning techniques and nature-inspired methods: Implications for carbon capture utilization and storage.

Autor: Zhang H; College of Safety Science and Engineering, Liaoning Technical University, Huludao 125105, China; Key Laboratory of Mine Thermodynamic Disasters and Control of Ministry of Education, Huludao 125105, China. Electronic address: zhanghemeng@lntu.edu.cn., Thanh HV; Laboratory for Computational Mechanics, Institute for Computational Science and Artificial Intelligence, Van Lang University, Ho Chi Minh City, Viet Nam; Faculty of Mechanical-Electrical and Computer Engineering, School of Technology, Van Lang University, Ho Chi Minh City, Viet Nam. Electronic address: hung.vothanh@vlu.edu.vn., Rahimi M; Department of Biosystems Engineering, Ferdowsi University of Mashhad, Mashhad, Iran., Al-Mudhafar WJ; Basrah Oil Company, Iraq., Tangparitkul S; Department of Mining and Petroleum Engineering, Chiang Mai University, Thailand., Zhang T; State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chendu, China., Dai Z; School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao 266520, China; College of Construction Engineering, Jilin University, Changchun, China., Ashraf U; Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming 650504, China.

Publikováno v: The Science of the total environment [Sci Total Environ] 2023 Jun 15; Vol. 877, pp. 162944. Date of Electronic Publication: 2023 Mar 20.

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Akademický článek

Upscaling dispersivity for conservative solute transport in naturally fractured media.

Autor: Jia S; Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, China; College of Construction Engineering, Jilin University, Changchun, China., Dai Z; Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, China; College of Construction Engineering, Jilin University, Changchun, China. Electronic address: dzx@jlu.edu.cn., Zhou Z; CNNC Key Laboratory on Geological Disposal of High-level Radioactive Waste, Beijing Research Institute of Uranium Geology, Beijing, China., Ling H; CNNC Key Laboratory on Geological Disposal of High-level Radioactive Waste, Beijing Research Institute of Uranium Geology, Beijing, China., Yang Z; Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, China; College of Construction Engineering, Jilin University, Changchun, China., Qi L; Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, China; College of Construction Engineering, Jilin University, Changchun, China., Wang Z; Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, China; College of Construction Engineering, Jilin University, Changchun, China., Zhang X; Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, China; College of Construction Engineering, Jilin University, Changchun, China. Electronic address: xiaoyingzh@jlu.edu.cn., Thanh HV; Laboratory for Computational Mechanics, Institute for Computational Science and Artificial Intelligence, Van Lang University, Ho Chi Minh City, Viet Nam; Faculty of Mechanical - Electrical and Computer Engineering, School of Technology, Van Lang University, Ho Chi Minh City, Viet Nam., Soltanian MR; Departments of Geosciences and Environmental Engineering, University of Cincinnati, Cincinnati, OH, USA.

Publikováno v: Water research [Water Res] 2023 May 15; Vol. 235, pp. 119844. Date of Electronic Publication: 2023 Mar 15.

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Akademický článek

Application of robust deep learning models to predict mine water inflow: Implication for groundwater environment management.

Autor: Yang S; College of Civil Engineering, Jilin University, Changchun, China., Lian H; Hebei State Key Laboratory of Mine Disaster Prevention, North China Institute of Science and Technology, Beijing Yanjiao 101601, China., Xu B; Hebei State Key Laboratory of Mine Disaster Prevention, North China Institute of Science and Technology, Beijing Yanjiao 101601, China., Thanh HV; Laboratory for Computational Mechanics, Institute for Computational Science and Artificial Intelligence, Van Lang University, Ho Chi Minh City, Viet Nam; Faculty of Mechanical - Electrical and Computer Engineering, School of Technology, Van Lang University, Ho Chi Minh City, Viet Nam., Chen W; College of Civil Engineering, Jilin University, Changchun, China., Yin H; School of Information Engineering, Institute of Disaster Prevention, Langfang 065201, China. Electronic address: yhc@cidp.edu.cn., Dai Z; College of Civil Engineering, Jilin University, Changchun, China; Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, China. Electronic address: dzx@jlu.edu.cn.

Publikováno v: The Science of the total environment [Sci Total Environ] 2023 May 01; Vol. 871, pp. 162056. Date of Electronic Publication: 2023 Feb 08.

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Akademický článek

Predicting CO2 trapping in deep saline aquifers using optimized long short-term memory.

Autor: Al-Qaness MAA; College of Physics and Electronic Information Engineering, Zhejiang Normal University, Jinhua, 321004, China. alqaness@zjnu.edu.cn., Ewees AA; Department of e-Systems, University of Bisha, Bisha, 61922, Kingdom of Saudi Arabia.; Department of Computer, Damietta University, Damietta, Egypt., Thanh HV; Laboratory for Computational Mechanics, Institute for Computational Science and Artificial Intelligence, Van Lang University, Ho Chi Minh City, Vietnam.; Faculty of Mechanical - Electrical and Computer Engineering, Van Lang University, Ho Chi Minh City, Vietnam., AlRassas AM; School of Petroleum Engineering, China University of Petroleum (East China), Qingdao, China., Dahou A; LDDI Laboratory, Faculty of Science and Technology, University of Ahmed DRAIA, 01000, Adrar, Algeria., Elaziz MA; Department of Mathematics, Faculty of Science, Zagazig University, Zagazig, Egypt.; Faculty of Computer Science & Engineering, Galala University, Suze, 435611, Egypt.; Artificial Intelligence Research Center (AIRC), Ajman University, Ajman, 346, United Arab Emirates.; Department of Electrical and Computer Engineering, Lebanese American University, Byblos, Lebanon.

Publikováno v: Environmental science and pollution research international [Environ Sci Pollut Res Int] 2023 Mar; Vol. 30 (12), pp. 33780-33794. Date of Electronic Publication: 2022 Dec 10.

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