量化不确定性:空气质量预测基于动态时空无噪声扩散概率模型

Kehua Chen1, Guangbo Li2, Hewen Li3

  • 1Division of Emerging Interdisciplinary Areas (EMIA), Interdisciplinary Programs Office, The Hong Kong University of Science and Technology, Hong Kong, China; Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong, China.

Environmental research
|February 13, 2024
PubMed
概括

这项研究引入了一种新的动态空间时空排泄扩散概率模型 (DST-DDPM),用于增强空气质量预测. 该模型准确预测空气污染水平,同时量化预测不确定性和动态空间关系.

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