ChinaHighPM1: Daily 1 km Ground-Level PM1 for China (2000–Present)

2000 to present daily, monthly, and yearly 1 km resolution ground-level PM1 concentrations for China. The dataset is generated from big data sources like satellite remote sensing and ground measurements using artificial intelligence. It is produced by Jing Wei from the University of Maryland, College Park, as part of the ChinaHighAirPollutants (CHAP) series.

Use Cases

• Analyzing long-term PM1 exposure trends based on the 2000–present time series
• Modeling health impacts of fine particulate matter based on the 1 km spatial resolution data
• Validating atmospheric models based on the dataset's reported cross-validation metrics (CV-R2 of 0.83)
• Studying spatiotemporal heterogeneity of air pollution across China based on the seamless 100% spatial coverage

Strengths

• High spatial resolution of 1 km for detailed analysis
• Long temporal coverage from 2000 to the present
• Reported high quality with a daily cross-validation R² of 0.83, RMSE of 9.50 µg m⁻³, and MAE of 6.17 µg m⁻³
• Seamless spatial coverage of 100% for China

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Last update date is unknown; freshness unverified

Provenance

Source

University of Maryland, College Park

Collection Method

Generated from big data sources (ground measurements, satellite remote sensing, atmospheric reanalysis, model simulations) using artificial intelligence.

Time Range

2000–Present

Geography

China