INTAC: High-Resolution Air Pollutant Emissions for China in 2017

INTAC is a 0.1° resolution gridded emission inventory for China in 2017, harmonizing seven up-to-date national and regional emission datasets. It was developed by Nana Wu at Tsinghua University using an integrated modeling framework for source, species, and spatiotemporal normalization. The inventory includes emissions for nine species across eight sectors, provided at a monthly temporal resolution.

Use Cases

• Modeling regional air quality and atmospheric chemistry based on gridded emissions of SO2, NOx, and other pollutants.
• Analyzing sectoral contributions to pollution (e.g., power, industry, transportation) using the eight defined source categories.
• Studying the seasonal variation of emissions across China based on the monthly temporal data.
• Validating and comparing other emission inventories or satellite-derived emission estimates using the integrated, high-resolution dataset.
• Assessing spatial patterns of specific pollutants like PM2.5 or NH3 across the 70E-150E, 10N-60N domain.

Strengths

• Integrates seven up-to-date emission inventories, likely improving coverage and accuracy.
• Provides high spatial (0.1°) and temporal (monthly) resolution for detailed analysis.
• Covers nine key chemical species (SO2, NOx, CO, NMVOC, NH3, PM10, PM2.5, BC, OC) and eight economic sectors.

Limitations

• Data is for a single year (2017); temporal coverage for trend analysis is limited.
• Column-level documentation is absent; field semantics must be inferred after download.
• The integration method, while detailed, may introduce uncertainties not quantified in the description.

Provenance

Source

Nana Wu, Tsinghua University

Collection Method

Constructed by harmonizing multisource emission datasets using an integrated modeling framework for source mapping, species mapping, temporal disaggregation, and spatial allocation.

Time Range

2017

Freshness

Last update date is unknown; freshness unverified.

Geography

China (70E-150E, 10N-60N)