基于人工智能的气候变化解决方案：综述

IF 20.4 2区环境科学与生态学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Environmental Chemistry Letters Pub Date : 2025-09-25 DOI:10.1007/s10311-025-01884-x

Lin Chen, Zhonghao Chen, Yubing Zhang, Yunfei Liu, Ahmed I. Osman, Mohamed Farghali, Jianmin Hua, Ahmed Al-Fatesh, Ikko Ihara, David W. Rooney, Pow-Seng Yap

引用次数: 0

摘要

撤回通知：环境化学快报（2023）21:25 - 2557 https://doi.org/10.1007/s10311-023-01617-y

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Retraction Note: Artificial intelligence-based solutions for climate change: a review

Retraction Note to: Environmental Chemistry Letters (2023) 21:2525–2557 https://doi.org/10.1007/s10311-023-01617-y

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来源期刊

Environmental Chemistry Letters 环境科学-工程：环境

CiteScore

32.00

自引率

7.00%

发文量

175

审稿时长

2 months

期刊介绍： Environmental Chemistry Letters explores the intersections of geology, chemistry, physics, and biology. Published articles are of paramount importance to the examination of both natural and engineered environments. The journal features original and review articles of exceptional significance, encompassing topics such as the characterization of natural and impacted environments, the behavior, prevention, treatment, and control of mineral, organic, and radioactive pollutants. It also delves into interfacial studies involving diverse media like soil, sediment, water, air, organisms, and food. Additionally, the journal covers green chemistry, environmentally friendly synthetic pathways, alternative fuels, ecotoxicology, risk assessment, environmental processes and modeling, environmental technologies, remediation and control, and environmental analytical chemistry using biomolecular tools and tracers.