Unknown

Dataset Information

0

Air Pollution in China: Mapping of Concentrations and Sources.


ABSTRACT: China has recently made available hourly air pollution data from over 1500 sites, including airborne particulate matter (PM), SO2, NO2, and O3. We apply Kriging interpolation to four months of data to derive pollution maps for eastern China. Consistent with prior findings, the greatest pollution occurs in the east, but significant levels are widespread across northern and central China and are not limited to major cities or geologic basins. Sources of pollution are widespread, but are particularly intense in a northeast corridor that extends from near Shanghai to north of Beijing. During our analysis period, 92% of the population of China experienced >120 hours of unhealthy air (US EPA standard), and 38% experienced average concentrations that were unhealthy. China's population-weighted average exposure to PM2.5 was 52 ?g/m3. The observed air pollution is calculated to contribute to 1.6 million deaths/year in China [0.7-2.2 million deaths/year at 95% confidence], roughly 17% of all deaths in China.

SUBMITTER: Rohde RA 

PROVIDER: S-EPMC4546277 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

altmetric image

Publications

Air Pollution in China: Mapping of Concentrations and Sources.

Rohde Robert A RA   Muller Richard A RA  

PloS one 20150820 8


China has recently made available hourly air pollution data from over 1500 sites, including airborne particulate matter (PM), SO2, NO2, and O3. We apply Kriging interpolation to four months of data to derive pollution maps for eastern China. Consistent with prior findings, the greatest pollution occurs in the east, but significant levels are widespread across northern and central China and are not limited to major cities or geologic basins. Sources of pollution are widespread, but are particular  ...[more]

Similar Datasets

| S-EPMC8031341 | biostudies-literature
| S-EPMC6068713 | biostudies-literature
| S-EPMC8196100 | biostudies-literature
| S-EPMC7652059 | biostudies-literature
| S-EPMC8683141 | biostudies-literature
2018-10-05 | GSE98731 | GEO
| S-EPMC6801524 | biostudies-literature