Volume 8 Issue 4
Jul.  2018
Turn off MathJax
Article Contents
Article Navigation >  Journal of Environmental Engineering Technology  > 2018  >  8(4): 367-372
SHEN Kaijuan, GAO Guangkuo. Study on the relationship between PM2.5 and other air pollutants in Tianjin based on VAR model[J]. Journal of Environmental Engineering Technology, 2018, 8(4): 367-372. doi: 10.3969/j.issn.1674-991X.2018.04.048
Citation: SHEN Kaijuan, GAO Guangkuo. Study on the relationship between PM2.5 and other air pollutants in Tianjin based on VAR model[J]. Journal of Environmental Engineering Technology, 2018, 8(4): 367-372. doi: 10.3969/j.issn.1674-991X.2018.04.048
shu

Study on the relationship between PM2.5 and other air pollutants in Tianjin based on VAR model

doi: 10.3969/j.issn.1674-991X.2018.04.048

  • Business School, University of Shanghai for Science and Technology, Shanghai 200093, China

  • Received Date: 2018-03-04
  • Publish Date: 2018-07-20
    Abstract
  • In recent years, severe haze weathers have hit many areas of China, which has greatly affected people’s health and life. In the study on the haze problem, the relationship between PM2.5 and other air pollutants has become the focus of academic researches. Therefore, based on the vector autoregressive model and in combination with unit root test, AR eigenvalue test, generalized impulse response function and variance decomposition method, the air quality related data including PM2.5 in Tianjin from January 1, 2014 to December 31, 2016 were analyzed. Also the dynamic relationship between PM2.5 and its influencing factors was analyzed and the impact of other atmospheric pollutants on PM2.5 studied. The result shows the model of air quality system formed by PM2.5 and other air pollutants is stable. The increase of SO2, NO2 and CO concentration will cause the increase of PM2.5 concentration in a short time; the effect of SO2 and NO2 on PM2.5 is more significant; the increase of O3 concentration has an inhibitory effect on PM2.5. Therefore, suggestions on adjusting the industrial structure and strengthening the governance of SO2 were put forward as the primary solutions for the government of Tianjin to manage haze pollution.

     

    • FullText(HTML)
  • loading
    • References(21)
  • [1]
    LIM S S, VOS T, FLAXMAN A D , et al. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions,1990-2010:a systematic analysis for the global Burden of disease study 2010[J]. The Lancet, 2012,380:2224-2260.
    doi: 10.1016/S0140-6736(12)61766-8
    [2]
    HE K, YANG F, MA Y L , et al. The characteristics of PM2.5 in Beijing,China[J]. Atmospheric Environment, 2001,35(29):4959-4970.
    doi: 10.1016/S1352-2310(01)00301-6
    [3]
    STREFTS D G, WALDHOFF S T . Present and future emissions of air pollutions in China:SO,NOx and CO[J]. Atmospheric Environment, 2000,34:363-374.
    doi: 10.1016/S1352-2310(99)00167-3
    [4]
    CAO J J, XU H M, XU Q , et al. Fine particulate matter constituents and cardiopulmonary mortality in a heavily polluted Chinese city[J]. Environmental Health Perspectives, 2012,120(3):373-378.
    doi: 10.1289/ehp.1103671 pmid: 3295342
    [5]
    SOLOMON S, QIN D H, MANNING M , et al. Contribution of working group Ⅰ to the fourth assessment report of the intergovernmental panel on climate change[M]. Cambridge: Cambridge University Press, 2007.
    [6]
    邵帅, 李欣, 曹建华 , 等. 中国雾霾污染治理的经济政策选择:基于空间溢出效应的视角[J]. 经济研究, 2016,51(9):73-88.

    SHAO S, LI X, CAO J H , et al. China’s economic policy choices for governing smog pollution based on spatial spillover effects[J]. Economic Research Journal, 2016,51(9):73-88.
    [7]
    姚青, 蔡子颖, 韩素芹 , 等. 天津冬季雾霾天气下颗粒物质量浓度分布与光学特性[J]. 环境科学研究, 2014,27(5):462-469.
    doi: 10.13198/j.issn.1001-6929.2014.05.02

    YAO Q, CAI Z Y, HAN S Q , et al. PM2.5 pollution characteristics and aerosol optical properties during fog-haze episodes in Tianjin[J]. Research of Environmental Sciences, 2014,27(5):462-469. doi: 10.13198/j.issn.1001-6929.2014.05.02
    [8]
    SUN Y L, ZHUANG G S, TANG A H , et al. Chemical characteristics of PM2.5 and PM10 in haze-fog episodes in Beijing[J]. Environmental Science & Technology, 2006,40(10):3148-3155.
    doi: 10.1021/es051533g pmid: 16749674
    [9]
    赵普生, 徐晓峰, 孟伟 , 等. 京津冀区域霾天气特征[J]. 中国环境科学, 2012,32(1):31-36.
    doi: 10.3969/j.issn.1000-6923.2012.01.005

    ZHAO P S, XU X F, MENG W , et al. Characteristics of hazy days in the region of Beijing,Tianjin,and Hebei[J]. China Environmental Science, 2012,32(1):31-36. doi: 10.3969/j.issn.1000-6923.2012.01.005
    [10]
    杨洋, 唐贵谦, 吉东生 , 等. 夏季局地环流对京津冀区域大气污染影响[J]. 环境工程学报, 2015,9(5):2359-2367.

    YANG Y, TANG G Q, JI D S , et al. Effects of local circulation on atmospheric pollutants in Beijing-Tianjin-Hebei region during summer[J]. Chinese Journal of Environmental Engineering, 2015,9(5):2359-2367.
    [11]
    周珍, 伊萱, 邢瑶瑶 . 京津冀区域经济发展、社会稳定与雾霾防控均衡分析[J]. 统计与决策, 2017(3):99-103.
    [12]
    苗云阁, 王健, 马银红 , 等. 基于PLS1的天津市PM2.5与空气污染物相关性分析[J]. 环境工程技术学报, 2017,7(1):39-45.
    doi: 10.3969/j.issn.1674-991X.2017.01.006

    MIAO Y G, WANG J, MA Y H , et al. Correlation analysis based on PLS1 between PM2.5 and air pollutants in Tianjin City[J]. Journal of Environmental Engineering Technology, 2017,7(1):39-45. doi: 10.3969/j.issn.1674-991X.2017.01.006
    [13]
    廖晓农, 张小玲, 王迎春 , 等. 北京地区冬夏季持续性雾霾发生的环境气象条件对比分析[J]. 环境科学, 2014,35(6):2031-2044.

    LIAO X N, ZHANG X L, WANG Y C , et al. Comparative analysis on meteorological condition for persistent haze cases in summer and winter in Beijing[J]. Environmental Science, 2014,35(6):2031-2044.
    [14]
    杜晓惠, 徐峻, 刘厚凤 , 等. 重污染天气下电力行业排放对京津冀地区PM2.5的贡献[J]. 环境科学研究, 2016,29(4):475-482.
    doi: 10.13198/j.issn.1001-6929.2016.04.02

    DU X H, XU J, LIU H F , et al. Contribution of power plant emissions to PM2.5 over Beijing-Tianjin-Hebei area during heavy pollution periods[J]. Research of Environmental Sciences, 2016,29(4):475-482. doi: 10.13198/j.issn.1001-6929.2016.04.02
    [15]
    薛亦峰, 周震, 聂滕 , 等. 2015年12月北京市空气重污染过程分析及污染源排放变化[J]. 环境科学, 2016,37(5):1593-1601.

    XUE Y F, ZHOU Z, NIE T , et al. Exploring the severe haze in Beijing during December,2015:pollution process and emissions variation[J]. Environmental Science, 2016,37(5):1593-1601.
    [16]
    WEI Z, WANG L T, CHEN M Z , et al. The 2013 severe haze over the Southern Hebei,China:PM2.5 composition and source apportionment[J]. Atmospheric Pollution Research, 2014,5(4):759-768.
    doi: 10.5094/APR.2014.085
    [17]
    张卫东 . 中级计量经济学[M]. 成都: 西南财经大学出版社, 2010: 153-157.
    [18]
    张晓峒 . EViews使用指南与案例[M]. 北京: 机械工业出版社, 2007.
    [19]
    刘金培, 汪官镇, 陈华友 , 等. 基于VAR模型的PM2.5与其影响因素动态关系研究:以西安市为例[J]. 干旱区资源与环境, 2016,30(5):78-84.

    LIU J P, WANG G Z, CHEN H Y , et al. Dyanamic reationship between PM2.5and its influence factors in Xi’an city based on the VAR model[J]. Journat of Arid land Resources and Environment, 2016,30(5):78-84.
    [20]
    朱长存 . 计量经济学[M]. 北京: 科学出版社, 2016.
    [21]
    吴胜男, 李岩泉, 于大炮 , 等. 基于VAR模型的森林植被碳储量影响因素分析:以陕西省为例[J]. 生态学报, 2015,35(1):196-203.

    WU S N, LI Y Q, YU D P , et al. Analysis of factors that influence forest vegetation carbon storage by using the VAR model:a case study in Shaanxi Province[J]. Acta Ecologica Sinica, 2015,35(1):196-203.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 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
    Get Citation
    PDF
    XML

    Article Metrics

    Article Views(599) PDF Downloads(458) Cited by()
    Proportional views
    Related

    Copyright © Editorial Department of Journal of Environmental Engineering Technology

    京ICP备05031605号-2

    Supported by: Beijing Renhe Information Technology Co., Ltd.  

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return