China PAH and CO2 Emission Projections Under Climate Scenarios, 2020-2060

From 2020 to 2060, this dataset quantifies projected reductions in polycyclic aromatic hydrocarbon (PAH) and CO2 emissions under distinct carbon mitigation scenarios for China. It was created by Ruifei Li using an integrated modeling framework and includes estimates of spatial distribution in air, soil, and water, and associated health impacts. The data was last updated on March 18, 2026.

Use Cases

• Modeling sector-specific PAH emission reductions based on energy mix optimization data.
• Assessing spatial health risk reductions in populated areas like East and South China based on concentration projections.
• Comparing multimedia pollutant concentrations (air, soil, water) under different carbon mitigation scenarios.
• Evaluating the relationship between CO2 emission reductions and concurrent PAH mitigation potential.

Strengths

• Includes specific quantitative projections, such as a 42.8 kt reduction in PAH emissions and a 9.5 Gt reduction in CO2 emissions.
• Provides multimedia concentration data with maximum reductions specified for air (13.42 ng/m³), soil (145 ng/g), and water (133 ng/L).
• Models health cobenefits, indicating risk reductions of over 50% in specific Chinese regions by 2060.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is based on modeled projections, not direct measurements, which may affect accuracy.

Provenance

Source

Ruifei Li via figshare.

Collection Method

Generated by an integrated modeling framework for quantifying emissions and health impacts.

Time Range

2020 to 2060

Freshness

Last updated 2026-03-18 04:45:01; freshness should be verified.

Geography

China, with regional focus on East China, South China, and parts of North China.