Volume 7 Issue 3
May  2017
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ZHENG Huihui, SHI Huading, CHEN Lirong, GAO Qingxian, GUAN Panbo, ZHANG Qiang. Simulation of impact of black carbon aerosol on regional climate change in typical industries[J]. Journal of Environmental Engineering Technology, 2017, 7(3): 255-261. doi: 10.3969/j.issn.1674-991X.2017.03.037
Citation: ZHENG Huihui, SHI Huading, CHEN Lirong, GAO Qingxian, GUAN Panbo, ZHANG Qiang. Simulation of impact of black carbon aerosol on regional climate change in typical industries[J]. Journal of Environmental Engineering Technology, 2017, 7(3): 255-261. doi: 10.3969/j.issn.1674-991X.2017.03.037

Simulation of impact of black carbon aerosol on regional climate change in typical industries

doi: 10.3969/j.issn.1674-991X.2017.03.037
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  • Corresponding author: Huading SHI E-mail: shihd@craes.org.cn
  • Received Date: 2016-11-16
  • Publish Date: 2017-05-20
  • Black carbon aerosol is an important component of atmospheric aerosols, which has a strong absorption effect on the solar shortwave radiation and infrared radiation, and has a great impact on the regional climate. Using the Regional Climate Model Version 3 (RegCM3) and combined with self-established black carbon emissions inventory, the variation of solar radiative forcing by black carbon aerosols emitted from industry, transportation, and residential sectors in 2013 was simulated, and the climate effects of black carbon aerosol emissions from different sectors analyzed. It was shown that the black carbon aerosols were mainly distributed in the North China, Central Plains, Yangtze River Delta, Pearl River Delta and Chengdu-Chongqing region, showing obvious seasonal changes, with higher emissions in winter and spring than in summer. Among the regions, Shandong Province and Hebei Province had the biggest emissions. The emissions of the three typical sectors were in the order of residential sources>industrial sources>transportation source. The black carbon aerosol increased the surface absorption of solar radiation and caused climate effect of raising the temperature of the North China, Central Plains and Yangtze River Delta, and decreasing the temperature of Sichuan-Chongqing region and Pearl River Delta. However, the resulted change of rainfall was little, which may be related to poor simulation function of the model.

     

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