Volume 8 Issue 1
Jan.  2018
Turn off MathJax
Article Contents
CHEN Lirong, ZHENG Huihui, SHI Huading, ZHANG Qiang, GAO Qingxian. Simulation of impact of future black carbon aerosol emission on regional climate change[J]. Journal of Environmental Engineering Technology, 2018, 8(1): 1-11. doi: 10.3969/j.issn.1674-991X.2018.01.001
Citation: CHEN Lirong, ZHENG Huihui, SHI Huading, ZHANG Qiang, GAO Qingxian. Simulation of impact of future black carbon aerosol emission on regional climate change[J]. Journal of Environmental Engineering Technology, 2018, 8(1): 1-11. doi: 10.3969/j.issn.1674-991X.2018.01.001

Simulation of impact of future black carbon aerosol emission on regional climate change

doi: 10.3969/j.issn.1674-991X.2018.01.001
  • Received Date: 2017-05-25
  • Publish Date: 2018-01-20
  • Black carbon aerosol is an important component of atmospheric aerosol, which has a strong absorption effect on solar radiation from visible to infrared band, and has great influence on regional climate. Applying the regional climate model RegCM3, with the establishment of an independent black carbon emissions list in 2013 as the base year, the effects of black carbon aerosol emission on the solar radiation at the top of the atmosphere under four scenarios of BB (business as usual), EE, EB and BE in 2030 were simulated, and the climate effects caused by black carbon emissions under different scenarios analyzed. The results show that of the black carbon emissions the four scenarios are in the order of BB>EB>BE>EE. The temperature and rainfall distribution under BB scenario in 2030 are basically in accordance with those in 2013, with no obvious change. The emissions of EB scenario and BE scenario are basically the same, but the focuses of the emission reduction of them are different, resulting in slightly different climate effects. The EE scenario has the maximum emission effort, and the emission is thus reduced to 980 thousand tons, which will cause more significant change of temperature and rainfall compared with the other three scenarios. Under this scenario, when the black carbon emission decreases, the heating effect is reduced and the cooling effect is prominent. Comparing the emissions of BE and EB scenarios, it can be found that the industrial sector has more emission reductions under BE scenario, while the civilian sector has more emission reductions under EB scenario, indicating that the emission control measures can play a larger role in the industrial sector, while the energy structure adjustment measures of the civilian sector is more important.

     

  • loading
  • [1]
    黄靖 . 卫星遥感气溶胶光学性质在大气污染监测中的应用研究[D]. 青岛:中国海洋大学, 2011.

    HUANG J . Application of satellite remote sensing aerosol optical properties in air pollution monitoring[D]. Qingdao:Ocean University of China, 2011.
    [2]
    LOU S J, LIAO H, ZHU B . Impacts of aerosols on surface-layer ozone concentrations in China through heterogeneous reactions and changes in photolysis rates[J]. Atmospheric Environment, 2014,85(2):123-138.
    doi: 10.1016/j.atmosenv.2013.12.004
    [3]
    ZHANG Y, YU R C, LI J , et al. Dynamic and thermodynamic relations of distinctive stratus clouds on the Lee Side of the Tibetan Plateau in the cold season[J]. Journal of Climate, 2013,26(21):8378-8391.
    doi: 10.1175/JCLI-D-13-00009.1
    [4]
    高学杰, 石英 , GIORGI F. 中国区域气候变化的一个高分辨率数值模拟[J]. 中国科学(地球科学), 2010,40(7):911-922.

    GAO X J, SHI Y, GIORGI F . A high-resolution numerical simulation of regional climate change in China[J]. Chinese Science(Earth Sciences), 2010,40(7):911-922.
    [5]
    BAO Q, LIN P F, ZHOU T J , et al. The flexible global ocean-atmosphere-land system model,spectral version 2:FGOALS-s2[J]. Advances in Atmospheric Sciences, 2013,30(3):561-576.
    doi: 10.1007/s00376-012-2113-9
    [6]
    XU Y, GAO X J, SHEN Y , et al. A daily temperature dataset over China and its application in validating a RCM simulation[J]. Advances in Atmospheric Sciences, 2009,26(4):763-772.
    doi: 10.1007/s00376-009-9029-z
    [7]
    XIE P P, YATAGAI A, CHEN M Y , et al. A gauge-based analysis of daily precipitation over East Asia[J]. Journal of Hydrometeorology, 2007,8(3):607-626.
    doi: 10.1175/JHM583.1
    [8]
    ZHANG D F, GAO X J, OUYANG L C , et al. Simulation of present climate over East Asia by a regional climate model[J]. Journal of Tropical Meteorology, 2008,14(1):19-23.
    [9]
    RANDLES C A, KINNE S, MYHRE G , et al. Intercomparison of shortwave radiative transfer schemes in global aerosol modeling:results from the AeroCom Radiative Transfer Experiment[J]. Atmospheric Chemistry and Physics, 2013,13(5):2347-2379.
    doi: 10.5194/acp-13-2347-2013
    [10]
    MYHRE G, SAMSET B H, SCHULZ M , et al. Radiative forcing of the direct aerosol effect from AeroCom Phase II simulations[J]. Atmospheric Chemistry and Physics, 2013,13(4):1853-1877.
    doi: 10.5194/acp-13-1853-2013
    [11]
    TAKEMURA T . Distributions and climate effects of atmospheric aerosols from the preindustrial era to 2100 along Representative Concentration Pathways (RCPs) simulated using the global aerosol model SPRINTARS[J]. Atmospheric Chemistry and Physics, 2012,12(8):20519-20559.
    [12]
    李剑东, 毛江玉, 王维强 . 大气模式估算的东亚区域人为硫酸盐和黑碳气溶胶辐射强迫及其时间变化特征[J]. 地球物理学报, 2015,58(4):1103-1120.

    LI J D, MAO J Y, WANG W Q . Radiative forcing of anthropogenic sulfate and black carbon aerosol in East Asia and its temporal variation characteristics[J]. Chinese Journal of Geophysics, 2015,58(4):1103-1120.
    [13]
    LI J D, SUN Z, LIU Y , et al. A study on sulfate optical properties and direct radiative forcing using LASG-IAP general circulation model[J]. Advances in Atmospheric Sciences, 2012,29(6):1185-1199.
    doi: 10.1007/s00376-012-1257-y
    [14]
    黄观, 刘伟, 刘志红 , 等. 黑碳气溶胶研究概况[J]. 灾害学, 2015,30(2):205-214.
    doi: 10.3969/j.issn.1000-811X.2015.02.039

    HUANG G, LIU W, LIU Z H , et al. General situation of black carbon aerosol[J]. Journal of Disaster Science, 2015,30(2):205-214. doi: 10.3969/j.issn.1000-811X.2015.02.039
    [15]
    CHOCK D P, SONG Q Y, HASS H , et al. Control of fossil-fuel particulate black carbon and organic matter,possibly the most effective method of slowing global warming,discussion[J]. Journal of Geophysical Research, 2002,107:4410.
    doi: 10.1029/2005JD005888
    [16]
    张楠, 覃栎, 谢绍东 . 中国黑碳气溶胶排放量及其空间分布[J]. 科学通报, 2013,58(19):1855-1864.

    ZHANG N, QIN L, XIE S D . Emission and spatial distribution of black carbon aerosol in China[J]. Chinese Science Bulletin, 2013,58(19):1855-1864.
    [17]
    李柯, 廖宏 , RIDLEY D A, 等. 中国不同行业排放对黑碳和直接辐射强迫的贡献[ C]//第31届中国气象学会年会S6大气成分与天气、气候变化.北京:中国气象学会, 2014.
    [18]
    高学杰, 石英, 张冬峰 , 等. RegCM3对21世纪中国区域气候变化的高分辨率模拟[J]. 科学通报, 2012,57(5):374-381.
    doi: 10.1360/csb2012-57-5-374

    GAO X J, SHI Y, ZHANG D F , et al. RegCM3 on twenty-first Century China high resolution regional climate change simulation[J]. Chinese Science Bulletin, 2012,57(5):374-381. doi: 10.1360/csb2012-57-5-374
    [19]
    姜克隽, 胡秀莲, 庄幸 , 等. 中国2050年的能源需求与CO2排放情景[J]. 气候变化研究进展, 2008,4(5):296-302.
    doi: 10.3969/j.issn.1673-1719.2008.05.008

    JIANG K J, HU X L, ZHUANG X , et al. China's energy demand and CO2 emissions scenario in 2050[J]. Advances in Climate Change Reasearch, 2008,4(5):296-302. doi: 10.3969/j.issn.1673-1719.2008.05.008
    [20]
    姜克隽, 胡秀莲, 庄幸 , 等. 中国2050年低碳情景和低碳发展之路[J]. 中外能源, 2009,14(6):1-7.

    JIANG K J, HU X L, ZHUANG X , et al. Low carbon scenavio and low carbon development in China in 2050[J]. Sino-Globla Energy, 2009,14(6):1-7.
    [21]
    郑辉辉, 师华定, 陈莉荣 , 等. 典型行业黑碳气溶胶排放对区域气候的影响模拟[J]. 环境工程技术学报, 2017,7(3):255-262.
    doi: 10.3969/j.issn.1674-991X.2017.03.037

    ZHENG H H, SHI H D, CHEN L R , et al.Simulation of impact of black carbon aerosol on regional climate change in typical industries[J].Journal of Environmental Engineering Technology, 2017, 7(3):255-262. doi: 10.3969/j.issn.1674-991X.2017.03.037
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article Views(1142) PDF Downloads(220) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return