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Cause and predictability for the severe haze pollution in downtown Beijing in November?December 2015

Cited 5 time in scopus
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Title
Cause and predictability for the severe haze pollution in downtown Beijing in November?December 2015
Other Titles
2015년 북경의 대기오염의 원인과 예측
Authors
Ziyin Zhang
Zhiqiang Ma
Xiujuan Zhao
Jing Xu
Kim, Seong-Joong
Rui Mao
Daoyi Gong
Subject
Environmental Sciences & Ecology
Keywords
Atmosphere Circulation; Atmosphere Pollution; Meteorological conditions
Issue Date
2017
Citation
Ziyin Zhang, et al. 2017. "Cause and predictability for the severe haze pollution in downtown Beijing in November?December 2015". SCIENCE OF THE TOTAL ENVIRONMENT, 592(1): 627-638.
Abstract
Based on the hourly PM2.5 concentrations,meteorological variable records and ERA-Interimreanalysis data, a series of diagnostic analyseswere conducted to explore the possiblemeteorological causes for the severe haze pollution that occurred in Beijing in November?December 2015. Using the online-coupled WRF-Chem model and GFS data, the predictability of hourly and daily PM2.5 concentrations was evaluated. The results showed that, in the context of pollutant emission, the severe haze pollution in downtown Beijing in November?December 2015 was primarily attributed to anomalous local meteorological conditions, which were caused and strengthened by anomalous large-scale atmospheric circulations. The abnormal changes in the upper troposphere appeared to trigger the anomalies in the middle-lower troposphere and the local conditions. The numerical simulations can capture the spatial distribution patterns of the PM2.5 concentrations for predictions of 1 to 10 days in advance. The PM2.5 concentration trends in downtown Beijingwere generally consistentwith the predictions on both daily and hourly time-scales, although the predictability decreased gradually as the lead times prolonged. The predictability of the daily mean PM2.5 concentration was slightly higher than that of the hourly concentration. The statistical indices suggested that the predictions of daily and hourly mean PM2.5 concentrations were generally skillful and reliable for maximum lead times of 8 and 5 days, respectively.
URI
http://repository.kopri.re.kr/handle/201206/6313
DOI
http://dx.doi.org/10.1016/j.scitotenv.2017.03.009
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