Spatiotemporal Characteristics of PM2.5 and PM10 at Urban and Corresponding Background Sites in 23 Cities in China

Details

• Personal Author:
  Batterman S ; Chen F ; Feng Y ; Li J ; Rao Q ; Xu L ; Zhong X
• Description:
  Air pollution episodes in China are frequent and a more comprehensive understanding of pollution sources and impacts is needed to design appropriate strategies and set emission reduction targets. This study analyzes PM2.5 and PM10 concentrations measured in 23 cities at 178 urban sites and at 23 corresponding "urban contrast" sites in China with the goals of understanding spatial and temporal trends and quantifying the regional component of PM pollution. The contrast sites, located an average of 29km from cities in the upwind direction, are intended to represent "background" levels. Using daily measurements from April 2013 to March 2014, we assess compliance with air quality standards, PM2.5/PM10 ratios and urban "increments," defined as the increase in PM levels in the city compared to the contrast site. Spatial and temporal patterns at daily, monthly and annual levels are shown using distributions, correlations, spatial autocorrelation, and factor analyses. At the contrast sites, PM2.5 and PM10 concentrations averaged 56+/-26 and 91+/-44µgm-3, respectively, and China's daily and annual average air quality standards were frequently exceeded. PM2.5 and PM10 concentrations in most cities exceeded levels at the corresponding contrast sites, but by an average of only 14+/-14 and 26+/-27µgm-3, respectively. Seasonal changes in PM2.5 and PM10 concentrations and urban increments were striking, e.g., levels increased 2 to 3-fold in winter at several sites. The significance of exurban and regional sources of PM2.5 is demonstrated by the small urban increments, the strong correlations across broad regions, and the correlation between daily levels at city and contrast sites. These sources will require control to achieve air quality goals, in particular, the PM10 and PM2.5 targets announced by the Chinese government in 2013. [Description provided by NIOSH]
• Subjects:
  Air Pollutants, Occupational Air Pollution Atmosphere Economics Environmental Exposure Environmental Monitoring Meteorology Occupational Health Particulate Matter Safety
• Keywords:
  Airborne Particles Airborne Particulates Air Monitoring Air Pollutants Air Pollution Standards Air Quality Measurement Air Quality Monitoring Author Keywords: Air Quality China Emission Sources Environmental Management Exposure Levels Models Monitoring Systems Particulate Matter Particulates Pollution Regression Analysis Spatial Variation Standards Temporal Variation Urban Background

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• ISSN:
  0048-9697
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  Michigan ; OSHA Region 5
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  599
• NIOSHTIC Number:
  nn:20052521
• Citation:
  Sci Total Environ 2017 Dec; 599-600:2074-2084
• Contact Point Address:
  Stuart Batterman, University of Michigan, School of Public Health, 1420 Washington Heights, Ann Arbor, MI 48104, United States
• Email:
  stuartb@umich.edu
• Federal Fiscal Year:
  2018
• Performing Organization:
  University of Michigan, Ann Arbor
• Peer Reviewed:
  True
• Start Date:
  20050701
• Source Full Name:
  Science of the Total Environment
• End Date:
  20280630
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:cc1e6bd5b4d6642e97046a446df132361de9b1d9a021c2b85fa2d72018ee07cf7244963e45776f5a361a71b4722a0e6bc6c3f777c9668c74bd86c6cccd7900d6
• Download URL:
  https://stacks.cdc.gov/view/cdc/212034/cdc_212034_DS1.pdf
• File Type:
  [PDF - 2.13 MB ]