High resolution exposure modelling of heat and air pollution and the impact on mortality
Elevated temperature and air pollution have been associated with increased mortality. Exposure to heat and air pollution, as well as the density of vulnerable groups varies within cities. The objective was to investigate the extent of neighbourhood differences in mortality risk due to heat and air p...
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Veröffentlicht in: | Environment international 2016-04, Vol.89-90, p.102-109 |
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Sprache: | eng |
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Zusammenfassung: | Elevated temperature and air pollution have been associated with increased mortality. Exposure to heat and air pollution, as well as the density of vulnerable groups varies within cities. The objective was to investigate the extent of neighbourhood differences in mortality risk due to heat and air pollution in a city with a temperate maritime climate.
A case-crossover design was used to study associations between heat, air pollution and mortality. Different thermal indicators and air pollutants (PM10, NO2, O3) were reconstructed at high spatial resolution to improve exposure classification. Daily exposures were linked to individual mortality cases over a 15year period.
Significant interaction between maximum air temperature (Tamax) and PM10 was observed. During “summer smog” days (Tamax>25°C and PM10>50μg/m3), the mortality risk at lag 2 was 7% higher compared to the reference (Tamax 15°C and PM10 15μg/m3). Persons above age 85 living alone were at highest risk.
We found significant synergistic effects of high temperatures and air pollution on mortality. Single living elderly were the most vulnerable group. Due to spatial differences in temperature and air pollution, mortality risks varied substantially between neighbourhoods, with a difference up to 7%.
•There is significant interaction between heat and air pollution in relation to mortality.•Single living elderly are at highest risk for heat-related mortality.•Due to spatial differences in heat and air pollution levels, mortality risks vary substantially between neighbourhoods. |
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ISSN: | 0160-4120 1873-6750 |
DOI: | 10.1016/j.envint.2016.01.013 |