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Study says El Nino, not climate change, was key driver of low rainfall that snarled Panama Canal 科技资讯
2024
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Human activities have an intense impact on Earth's deep subsurface fluid flow 科技资讯
2024
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Human activities have an intense impact on Earth's deep subsurface fluid flow 科技资讯
2024
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Understanding man-made earthquakes: Study highlights role of fault roughness and stress heterogeneity 科技资讯
2024
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Rocking our world: Understanding human-induced earthquakes 科技资讯
2024
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Earth shattered global heat record in '23 and it's flirting with warming limit, European agency says 科技资讯
2024
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2023 set to be UK's second-hottest year: Met Office 科技资讯
2024
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Maritime boundaries in the energy transition: carbon dioxide (CO2) storage across maritime jurisdictions 期刊论文
JOURNAL OF ENERGY & NATURAL RESOURCES LAW, 2024
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Reduced-order models for the greenhouse gas leakage prediction from depleted hydrocarbon reservoirs using machine learning methods 期刊论文
INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL, 2024, 卷号: 132
作者:  Liu, Lei;  Mehana, Mohamed;  Chen, Bailian;  Prodanovic, Masa;  Pyrcz, Michael J.;  Pawar, Rajesh
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Reduced-order models for the greenhouse gas leakage prediction from depleted hydrocarbon reservoirs using machine learning methods 期刊论文
INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL, 2024, 卷号: 132
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