环境工程学报2024，Vol.18Issue(11)：3049-3058,10.DOI:10.12030/j.cjee.202410102
人工智能在环境工程中的应用:热点演化与未来趋势
Application of artificial intelligence in environmental engineering:Hotspots evolution and future trends
杨静 1任洪强 2张萌 3朱亮 3张伟军 4徐明 5王东升 3俞汉青 6汪华林 7吴明红8
作者信息
- 1. 国家自然科学基金委员会工程与材料科学部,北京 100085
- 2. 南京大学环境学院污染控制与资源化研究国家重点实验室,南京 210023
- 3. 浙江大学环境与资源学院,杭州 310058
- 4. 中国科学院生态环境研究中心工业废水无害化与资源化国家工程研究中心,北京 100085
- 5. 清华大学环境学院,北京 100084
- 6. 中国科学技术大学环境科学与工程系,合肥 230022
- 7. 华东理工大学资源与环境工程学院,上海 200237
- 8. 福州大学环境与安全工程学院,福州 350108
- 折叠
摘要
Abstract
Environmental engineering is confronted with new challenges and prospects.It necessitates a shift in the paradigm of scientific research,and transcending the disciplinary confinement of end-management as the primary objective.This shift is crucial for enabling environmental engineering to play a more pivotal role in addressing global ecological and environmental challenges.On the other hand,artificial intelligence(AI)stands as one of today's innovative technologies,with its application in environmental engineering marking a pivotal direction for future innovation.This study employed bibliometric methods to sift through an extensive collection of over 24 000 papers related to AI in environmental engineering,spanning from 1990 to 2023.It analyzed the prominent institutions globally involved in this field,illustrated the current research directions of AI in environmental engineering,and discussed the evolution and future trends of research hotspots.Additionally,the existing challenges were also raised.Consequently,this study aims to provide valuable suggestions and insights for the research and development of AI in environmental engineering,facilitating the rapid advancement of China's environmental engineering disciplines.关键词
环境工程/人工智能/研究方向/热点趋势/研究挑战Key words
environmental engineering/artificial intelligence/research directions/trend analysis/challenges分类
资源环境引用本文复制引用
杨静,任洪强,张萌,朱亮,张伟军,徐明,王东升,俞汉青,汪华林,吴明红..人工智能在环境工程中的应用:热点演化与未来趋势[J].环境工程学报,2024,18(11):3049-3058,10.
