The Development and Prospects of Informatization Applications in Dual-Carbon Atmospheric Environment Based on Artificial Intelligence and Big Data

doi:10.11871/jfdc.issn.2096-742X.2023.03.001

Abstract

Abstract:

[Objective] Emissions of carbon dioxide and air pollutants caused by fossil fuel usage are from similar activities, and thus need synergic governance in the process of “carbon-peak and carbon-neutrality” for a better “dual-carbon” atmospheric environment. Informatization applications in atmospheric environment are principally based on numerical chemistry transport models, whereas in dual-carbon atmospheric environment, such applications are still in their infancy stage. Recently, artificial intelligence and big data techniques have gained increasing popularity in dual-carbon atmospheric environment, which fosters the paradigm shift from numerical model-based research to deep fusion with artificial intelligence and big data techniques. Therefore, there is an urgent need to examine current developments and outline directions and pathways for future research. [Methods] This paper presents a brief review and prospects on the developments, directions, and pathways towards the future informatization applications based on artificial intelligence and big data techniques in dual-carbon atmospheric environment. [Results] It is shown that innovations with artificial intelligence and big data techniques are needed to fusion with or substitute the atmospheric chemistry transport models by emulations and corrections. Systematic applications based on the resulting hybrid models should be put forward so that digital governance of the dual-carbon atmospheric environment could be conducted in finer resolution and higher speed. [Limitations] Our proposed concept and design are to be verified by future implementations and experimentations. [Conclusions] The applications of artificial intelligence and big data techniques enable opportunities for a paradigm shift in dual-carbon atmospheric environment and in the meantime bring challenges. Joint efforts in algorithmic breakthroughs and information system development would help to realize this paradigm shift.

Key words: dual-carbon atmospheric environment, atmospheric chemistry transport model, artificial intelligence and big data, hybridization between artificial intelligence and numerical model, paradigm shift

ZHU Mingming, CAO Wudi, WU Lin, WANG Zixi, LIAO Qi, ZHANG Si, TANG Xiao, LI Jie, WANG Jing, WANG Yangang, WANG Zifa. The Development and Prospects of Informatization Applications in Dual-Carbon Atmospheric Environment Based on Artificial Intelligence and Big Data[J]. Frontiers of Data and Computing, 2023, 5(3): 2-12, https://cstr.cn/32002.14.jfdc.CN10-1649/TP.2023.03.001.

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