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Review of hot applications of AI in the environmental field in 2024
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Xiang ZHENG1, 2, 3, Qingwen YANG1, Lei SHI4, Rong CHENG1, 2, 3, *
Science & Technology Review | 2025, 43(1) : 81 - 95
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Science & Technology Review | 2025, 43(1): 81-95
• Exclusive: Review of Science and Technology Hotspots in 2024 •
Review of hot applications of AI in the environmental field in 2024
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Xiang ZHENG1, 2, 3, Qingwen YANG1, Lei SHI4, Rong CHENG1, 2, 3, *
Affiliations
  • 1. School of Chemistry and Life Resources, Renmin University of China, Beijing 100872, China
  • 2. Collaborative Innovation and Industrial Development Research Center for Membrane Technology, Renmin University of China, Beijing 100872, China
  • 3. National Enterprise Technology Center, Beijing Originwater Technology Co., Ltd., Beijing 102206, China
  • 4. School of Ecology & Environment, Renmin University of China, Beijing 100872, China
About Author:
Published: 2025-01-13 doi: 10.3981/j.issn.1000-7857.2025.01.00029
Outline
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artificial intelligence  /  environmental monitoring  /  weather forecasting  /  natural disaster prediction  /  public health safety  /  generative artificial intelligence
Xiang ZHENG, Qingwen YANG, Lei SHI, Rong CHENG. Review of hot applications of AI in the environmental field in 2024[J]. Science & Technology Review, 2025 , 43 (1) : 81 -95 . DOI: 10.3981/j.issn.1000-7857.2025.01.00029
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Article Info
doi: 10.3981/j.issn.1000-7857.2025.01.00029
  • Receive Date：2025-01-02
  • Online Date：2025-07-31
  • Published：2025-01-13
Article Data
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History
  • Received：2025-01-02
  • Revised：2025-01-09
Funding
Affiliations
    1. School of Chemistry and Life Resources, Renmin University of China, Beijing 100872, China
    2. Collaborative Innovation and Industrial Development Research Center for Membrane Technology, Renmin University of China, Beijing 100872, China
    3. National Enterprise Technology Center, Beijing Originwater Technology Co., Ltd., Beijing 102206, China
    4. School of Ecology & Environment, Renmin University of China, Beijing 100872, China

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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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