Spatial and temporal variability of PM2.5 and PM10 over the North China Plain and the Yangtze River Delta, China. Hu, J., Wang, Y., Ying, Q., & Zhang, H. ATMOSPHERIC ENVIRONMENT, 95:598-609, PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND, OCT, 2014.
doi  abstract   bibtex   
The North China Plain (NCP) and the Yangtze River Delta (YRD) in China have been experiencing severe particulate matter (PM) pollution problems associated with the rapid economic growth and the accelerated urbanization. In this study, hourly mass concentrations of PM2.5 and PM10 during June 1st-August 31st, 2013 were collected in 13 cities located in or adjacent to the NCP region and 20 cities located in the YRD region. The overall average PM2.5 and PM10 concentrations were 77.0 mu g/m(3) and 136.2 mu g/m(3) in the NCP region, respectively, and 42.8 mu g/m(3) and 74.9 mu g/m(3) in the YRD region, respectively. The frequencies of occurrence of concentrations exceeding the China's Ambient Air Quality Standard (AAQS) (BG3095-12) Grade I standards were 83% for PM2.5 and 93% for PM10 in the NCP region, and 51% for PM2.5 and 66% for PM10 in the YRD region. Strong temporal correlation for both PM2.5 and PM10 between cities within 250 km was frequently observed. PM2.5 was found to be negatively associated with wind speed. On the PM2.5 episode days (when the 24 h PM2.5 concentration is greater than 75 mu g/m(3)), average PM2.5 concentrations were 2-4 times greater compared to the non-episode days. The PM2.5 to PM10 ratio increased from 0.50 (0.57) on the non-episode days to 0.64 (0.64) on the episode days in the NCP (YRD) region. No distinct weekday/weekend difference was observed for PM2.5, PM10, and other gaseous pollutants (CO, SO2, NO2, and O-3) in all cities. The results presented in this paper will serve as an important basis for future regional air quality modeling and source apportionment studies. (C) 2014 Elsevier Ltd. All rights reserved.
@article{ WOS:000340977400060,
Author = {Hu, Jianlin and Wang, Yungang and Ying, Qi and Zhang, Hongliang},
Title = {{Spatial and temporal variability of PM2.5 and PM10 over the North China
   Plain and the Yangtze River Delta, China}},
Journal = {{ATMOSPHERIC ENVIRONMENT}},
Year = {{2014}},
Volume = {{95}},
Pages = {{598-609}},
Month = {{OCT}},
Abstract = {{The North China Plain (NCP) and the Yangtze River Delta (YRD) in China
   have been experiencing severe particulate matter (PM) pollution problems
   associated with the rapid economic growth and the accelerated
   urbanization. In this study, hourly mass concentrations of PM2.5 and
   PM10 during June 1st-August 31st, 2013 were collected in 13 cities
   located in or adjacent to the NCP region and 20 cities located in the
   YRD region. The overall average PM2.5 and PM10 concentrations were 77.0
   mu g/m(3) and 136.2 mu g/m(3) in the NCP region, respectively, and 42.8
   mu g/m(3) and 74.9 mu g/m(3) in the YRD region, respectively. The
   frequencies of occurrence of concentrations exceeding the China's
   Ambient Air Quality Standard (AAQS) (BG3095-12) Grade I standards were
   83\% for PM2.5 and 93\% for PM10 in the NCP region, and 51\% for PM2.5
   and 66\% for PM10 in the YRD region. Strong temporal correlation for
   both PM2.5 and PM10 between cities within 250 km was frequently
   observed. PM2.5 was found to be negatively associated with wind speed.
   On the PM2.5 episode days (when the 24 h PM2.5 concentration is greater
   than 75 mu g/m(3)), average PM2.5 concentrations were 2-4 times greater
   compared to the non-episode days. The PM2.5 to PM10 ratio increased from
   0.50 (0.57) on the non-episode days to 0.64 (0.64) on the episode days
   in the NCP (YRD) region. No distinct weekday/weekend difference was
   observed for PM2.5, PM10, and other gaseous pollutants (CO, SO2, NO2,
   and O-3) in all cities. The results presented in this paper will serve
   as an important basis for future regional air quality modeling and
   source apportionment studies. (C) 2014 Elsevier Ltd. All rights
   reserved.}},
Publisher = {{PERGAMON-ELSEVIER SCIENCE LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Zhang, HL (Corresponding Author), Univ Calif Davis, Dept Civil \& Environm Engn, Davis, CA 95616 USA.
   Hu, Jianlin; Zhang, Hongliang, Univ Calif Davis, Dept Civil \& Environm Engn, Davis, CA 95616 USA.
   Wang, Yungang, Univ Calif Berkeley, Lawrence Berkeley Natl Lab, Environm Energy Technol Div, Berkeley, CA 94720 USA.
   Ying, Qi, Texas A\&M Univ, Dept Civil Engn, College Stn, TX 77843 USA.}},
DOI = {{10.1016/j.atmosenv.2014.07.019}},
ISSN = {{1352-2310}},
EISSN = {{1873-2844}},
Keywords = {{Particulate matter; PM2.5; Spatial variation; Temporal variation; China}},
Keywords-Plus = {{AIR-POLLUTION; PARTICULATE MATTER; REGIONAL HAZE; WEEKDAY/WEEKEND
   DIFFERENCES; CHEMICAL CHARACTERISTICS; SOURCE APPORTIONMENT; FORMATION
   MECHANISM; SIZE DISTRIBUTIONS; LIFE EXPECTANCY; AMBIENT AIR}},
Research-Areas = {{Environmental Sciences \& Ecology; Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Environmental Sciences; Meteorology \& Atmospheric Sciences}},
Author-Email = {{tamzhang@ucdavis.edu}},
ResearcherID-Numbers = {{Zhang, Hongliang/C-2499-2012
   Hu, Jianlin/D-7663-2018
   Hu, Jianlin/C-2023-2014
   }},
ORCID-Numbers = {{Zhang, Hongliang/0000-0002-1797-2311
   Hu, Jianlin/0000-0001-7709-439X
   Hu, Jianlin/0000-0001-7709-439X
   Ying, Qi/0000-0002-4560-433X}},
Number-of-Cited-References = {{76}},
Times-Cited = {{278}},
Usage-Count-Last-180-days = {{19}},
Usage-Count-Since-2013 = {{425}},
Journal-ISO = {{Atmos. Environ.}},
Doc-Delivery-Number = {{AO0CT}},
Unique-ID = {{WOS:000340977400060}},
ESI-Highly-Cited-Paper = {{Y}},
ESI-Hot-Paper = {{N}},
DA = {{2021-12-02}},
}
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