Journal
ADVANCES IN ATMOSPHERIC SCIENCES
Volume 35, Issue 9, Pages 1145-1159Publisher
SCIENCE PRESS
DOI: 10.1007/s00376-018-7212-9
Keywords
WRF; Community Multiscale Air Quality model; source contribution; unfavorable weather system; fine particulate matter
Categories
Funding
- National Key R&D Program of China [2016YFC0202000]
- Guangzhou Science and Technology Plan [201604020028]
- National Natural Science Foundation of China [41775037, 41475105]
- Science and Technology Innovative Research Team Plan of Guangdong Meteorological Bureau [201704]
- Guangdong Natural Science Foundation-Major Research Training Project [2015A030308014]
- science and technology study project of Guangdong Meteorological Bureau [2015Q03]
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Historical haze episodes (2013-16) in Guangzhou were examined and classified according to synoptic weather systems. Four types of weather systems were found to be unfavorable, among which foreside of a cold front (FC) and sea high pressure (SP) were the most frequent (> 75% of the total). Targeted case studies were conducted based on an FC-affected event and an SP-affected event with the aim of understanding the characteristics of the contributions of source regions to fine particulate matter (PM2.5) in Guangzhou. Four kinds of contributions-namely, emissions outside Guangdong Province (super-region), emissions from the Pearl River Delta region (PRD region), emissions from Guangzhou-Foshan-Shenzhen (GFS region), and emissions from Guangzhou (local)-were investigated using the Weather Research and Forecasting-Community Multiscale Air Quality model. The results showed that the source region contribution differed with different weather systems. SP was a stagnant weather condition, and the source region contribution ratio showed that the local region was a major contributor (37%), while the PRD region, GFS region and the super-region only contributed 8%, 2.8% and 7%, respectively, to PM2.5 concentrations. By contrast, FC favored regional transport. The super-region became noticeable, contributing 34.8%, while the local region decreased to 12%. A simple method was proposed to quantify the relative impact of meteorology and emissions. Meteorology had a 35% impact, compared with an impact of -18% for emissions, when comparing the FC-affected event with that of the SP. The results from this study can provide guidance to policymakers for the implementation of effective control strategies.
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