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张萌 2朱亮 2张伟军 3徐明 4王东升 2俞汉青 5汪华林 6吴明红 7任洪强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. 浙江大学环境与资源学院,杭州 310058
- 3. 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
- 4. 清华大学环境学院,北京 100084
- 5. 中国科学技术大学环境科学与工程系,合肥 230022
- 6. 华东理工大学资源与环境工程学院,上海 200237
- 7. 福州大学环境与安全工程学院,福州 350108
- 8. 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
- 折叠
摘要
环境工程学科面临新的挑战和机遇,需要转变科学研究范式,突破传统末端治理为主要目标的学科局限,在应对全球生态环境问题中发挥更重要的功能.人工智能是当今颠覆性的技术之一,是环境工程领域创新发展的关键方向.本研究采用文献计量学方法梳理了 1990-2023年环境工程领域与人工智能相关的24 000余篇论文,分析了全球范围内该领域的主要研究机构,解析了人工智能在环境工程领域的研究方向现状,探讨了研究热点的演化及未来发展趋势,并提出了潜在的挑战.本研究可为人工智能在环境工程领域的研究与发展提供建议和思路,助力我国环境工程学科的跨越式发展.
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引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据