ChinaHighPM₁₀: Daily 1 km PM₁₀ Concentrations for China

ChinaHighPM10 is a long-term, high-resolution dataset of ground-level particulate matter (PM10) concentrations across China. It provides seamless daily, monthly, and yearly data at a 1 km spatial resolution from 2000 to the present, generated from multi-source big data using artificial intelligence. The dataset is part of the ChinaHighAirPollutants (CHAP) series and is noted for its high quality, with a reported daily cross-validation R² of 0.90.

Use Cases

• Long-term trend analysis of PM10 pollution based on the 2000–present time series.
• High-resolution exposure mapping for epidemiological studies using the 1 km spatial grid.
• Validation of atmospheric models using the dataset's reported validation metrics (CV-R² 0.90, RMSE 21.12 µg m⁻³).
• Spatiotemporal analysis of air quality patterns across China leveraging the seamless 100% spatial coverage.

Strengths

• High reported accuracy with a daily cross-validation coefficient of determination (CV-R²) of 0.90.
• Long temporal coverage from 2000 to the present, with data continuously updated through at least 2024.
• Fine spatial resolution of 1 km with seamless (100%) coverage of China.

Limitations

• Specific column names and data structure are not provided in the source metadata.
• The exact dataset size (rows, file size) is unknown across all sources.
• Relies on inference from multi-source data and AI modeling, which may introduce biases not fully characterized.

Provenance

Source

Jing Wei (University of Maryland, College Park) and collaborators.

Collection Method

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

Time Range

2000 to present

Freshness

Data is described as continuously updated, with specific links provided for 2022, 2023, and 2024 data.

Geography

China