Predicted Future Mortality Attributed to Increases in Temperature and PM₁₀ Concentration under Representative...

Area of Science:

• Environmental Health
• Climate Change Science
• Epidemiology

Background:

• Climate change necessitates understanding health impacts of temperature and air pollutants.
• The interaction between particulate matter (PM10) and temperature effects on health remains poorly understood.
• Accurate prediction of local and regional PM10 is challenging.

Purpose of the Study:

• To assess temperature-attributable mortality under various PM10 concentrations and climate scenarios.
• To investigate the modification effect of PM10 on temperature-related health risks.
• To analyze regional variations in these health burdens, specifically in South Korea.

Main Methods:

• Utilized a distributed lag non-linear model (DLNM).
• Compared mortality data across baseline (2003-2012) and future periods (2030s, 2050s, 2080s).
• Simultaneously analyzed historical and projected temperatures with assumed PM10 levels (35-95 μg/m³) under RCP4.5 and RCP8.5 scenarios.

Main Results:

• Temperature-attributable mortality risks increased significantly at PM10 concentrations above 65 μg/m³.
• The association between temperature and PM10 was more pronounced under the RCP8.5 scenario compared to RCP4.5.
• Higher risks were observed in densely populated areas of South Korea, indicating regional heterogeneity.

Conclusions:

• Particulate matter significantly modifies health risks associated with rising temperatures.
• Future climate and air quality policies must consider the synergistic effects of heat and PM10 on public health.
• Targeted interventions in highly populated areas are crucial for mitigating climate-related health burdens.