生成式人工智能：推进环境科学与工程的新引擎

IF 10.8 1区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL 环境科学与技术 Pub Date : 2024-09-29 DOI:10.1021/acs.est.4c07216

Yipeng Wu, Ming Xu, Shuming Liu

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摘要

图 1.生成式人工智能在环境科学与工程领域的当前和潜在应用以及存在的障碍。刘曙明是清华大学环境学院院长、教授。他的研究重点是人工智能驱动的城市水基础设施管理、可持续和有弹性的城市水系统以及水与能源的关系。刘教授是《AQUA - Water Infrastructure, Ecosystems and Society》的主编，也是《Urban Water Journal》和《Smart Water》等期刊的副主编。本研究得到了国家重点研发计划（批准号：2023YFC3208100）的资助。本文引用了 17 篇其他出版物。本文尚未被其他出版物引用。

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Generative Artificial Intelligence: A New Engine for Advancing Environmental Science and Engineering

Figure 1. Current and potential applications and existing obstacles of generative AI in environmental science and engineering. Shuming Liu is a Professor and the Dean of the School of Environment at Tsinghua University. His research focus on AI-driven urban water infrastructure management, sustainable and resilient urban water systems, and the water–energy nexus. Prof. Liu is the editor-in-chief of AQUA - Water Infrastructure, Ecosystems and Society and an associate editor of journals like Urban Water Journal and Smart Water. This work was financially supported by the National Key R&D Program of China (Grant No. 2023YFC3208100). This article references 17 other publications. This article has not yet been cited by other publications.

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来源期刊

环境科学与技术环境科学-工程：环境

CiteScore

17.50

自引率

9.60%

发文量

12359

审稿时长

2.8 months

期刊介绍： Environmental Science & Technology (ES&T) is a co-sponsored academic and technical magazine by the Hubei Provincial Environmental Protection Bureau and the Hubei Provincial Academy of Environmental Sciences. Environmental Science & Technology (ES&T) holds the status of Chinese core journals, scientific papers source journals of China, Chinese Science Citation Database source journals, and Chinese Academic Journal Comprehensive Evaluation Database source journals. This publication focuses on the academic field of environmental protection, featuring articles related to environmental protection and technical advancements.