| 1 | Optical and Radiative Properties of Aerosols during a Severe Haze Episode over the North China Plain in December 2016显示文摘The optical and radiative properties of aerosols during a severe haze episode from 15 to 22 December 2016 over Beijing, Shijiazhuang, and Jiaozuo in the North China Plain were analyzed based on the ground-based and satellite data, meteorological observations, and atmospheric environmental monitoring data. The aerosol optical depth at 500 nm was < 0.30 and increased to > 1.4 as the haze pollution developed. The ?ngstr?m exponent was > 0.80 for most of the study period. The daily single-scattering albedo was > 0.85 over all of the North China Plain on the most polluted days and was > 0.97 on some particular days. The volumes of fine and coarse mode particles during the haze event were approximately 0.05–0.21 and 0.01–0.43 μm3, respectively—that is, larger than those in the time without haze. The daily absorption aerosol optical depth was about 0.01–0.11 in Beijing, 0.01–0.13 in Shijiazhuang, and0.01–0.04 in Jiaozuo, and the average absorption ?ngstr?m exponent varied between 0.6 and 2.0. The aerosol radiative forcing at the bottom of the atmosphere varied from –23 to –227, –34 to –199, and –29 to –191 W m–2 for the whole haze period, while the aerosol radiative forcing at the top of the atmosphere varied from –4 to –98, –10 to –51,and –21 to –143 W m–2 in Beijing, Shijiazhuang, and Jiaozuo, respectively. Satellite observations showed that smoke,polluted dust, and polluted continental components of aerosols may aggravate air pollution during haze episodes. The analysis of the potential source contribution function and concentration-weighted trajectory showed that the contribution from local emissions and pollutants transport from upstream areas were 190–450 and 100–410 μg m^(–3), respectively. | Yu ZHENG Huizheng CHE Leiku YANG Jing CHEN Yaqiang WANG Xiangao XIA Hujia ZHAO Hong WANG Deying WANG Ke GUI Linchang AN Tianze SUN Jie YU Xiang KUANG Xin LI Enwei SUN Dapeng ZHAO Dongsen YANG Zengyuan GUO Tianliang ZHAO Xiaoye ZHANG | 2017 | Journal of Meteorological Research2017，31，6： | 2 |
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