Global estimates of daily ambient fine particulate matter concentrations and unequal spatiotemporal distribution of population exposure: a machine learning modelling study
Monash University · Chinese Academy of Meteorological Sciences · +2 more institutions
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Abstract
Background
concentrations over recent decades.
Methods
concentrations for each calendar month were averaged across the 20-year period to investigate global seasonal patterns.
Findings
. Distinct seasonal patterns were indicated in many regions of the world. INTERPRETATION: , especially for areas where monitoring station data are not available. FUNDING: Australian Research Council, Australian Medical Research Future Fund, and the Australian National Health and Medical Research Council.
Citation impact
191
total citations
- FWCI
- 28.70
- Percentile
- 100%
- References
- 32
Citations per year
Authors
12Topics & keywords
Topics
Keywords
- Environmental science
- Population
- Particulates
- Chemical transport model
- Climatology
- Physical geography
- Atmospheric sciences
- Meteorology
UN Sustainable Development Goals
- Good health and well-being
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