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      DeepThink
      The responses are generated by the AI model you selected. IPE cannot guarantee the accuracy or completeness of the content, and it does not reflect our stance or views.
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      数据来源

      This map was developed based on the GlobalHighPM2.5 dataset. GlobalHighPM2.5 is part of a series of long-term, seamless, global, high-resolution, and high-quality datasets of air pollutants over land, known as GlobalHighAirPollutants (GHAP). It is generated from big data sources (e.g., ground-based measurements, satellite remote sensing products, atmospheric reanalysis, and model simulations) using artificial intelligence, taking into account the spatiotemporal heterogeneity of air pollution.

      The dataset is generated from big data sources—including ground-based measurements, satellite remote sensing products, atmospheric reanalysis, and model simulations—using artificial intelligence, while taking into account the spatiotemporal heterogeneity of air pollution. The final product provides seamless (100% coverage) global ground-level PM₂.₅ concentrations over land at a 1 km spatial resolution, with data available from 2017 onward and subject to updates based on future releases.

      Reference:
      Wei, J., Li, Z., Lyapustin, A., Wang, J., Dubovik, O., Schwartz, J., Sun, L., Li, C., Liu, S., and Zhu, T. First close insight into global daily gapless 1 km PM2.5 pollution, variability, and health impact. Nature Communications, 2023, 14, 8349. https://doi.org/10.1038/s41467-023-43862-3

      PM2.5(μg/m³)

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