articleThe Lancet Planetary HealthMar 1, 2023GOLD OA

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

12

Topics & keywords

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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Funding