高级搜索

山西省大气PM2.5污染时空分布特征

,  ,  ,  ,  , 

downloadPDF

上一篇

下一篇

李宏艳, 高雪莹, 李宏宇, 闫雨龙, 郭利利, 何秋生. 山西省大气PM2.5污染时空分布特征[J]. 环境化学, 2018, 37(5): 913-923. doi: 10.7524/j.issn.0254-6108.2017081404
引用本文: 李宏艳, 高雪莹, 李宏宇, 闫雨龙, 郭利利, 何秋生. 山西省大气PM2.5污染时空分布特征[J]. 环境化学, 2018, 37(5): 913-923. doi: 10.7524/j.issn.0254-6108.2017081404
shu
LI Hongyan, GAO Xueying, LI Hongyu, YAN Yulong, GUO Lili, HE Qiusheng. Spatial-temporal distribution and variation characteristics of PM2.5 in Shanxi[J]. Environmental Chemistry, 2018, 37(5): 913-923. doi: 10.7524/j.issn.0254-6108.2017081404
Citation: LI Hongyan, GAO Xueying, LI Hongyu, YAN Yulong, GUO Lili, HE Qiusheng. Spatial-temporal distribution and variation characteristics of PM2.5 in Shanxi[J]. Environmental Chemistry, 2018, 37(5): 913-923. doi: 10.7524/j.issn.0254-6108.2017081404
shu

山西省大气PM2.5污染时空分布特征

  • 1.

    太原科技大学环境与安全学院, 太原, 030024;

  • 2.

    华北电力大学环境科学与工程学院, 北京, 102206

  • 基金项目:

    国家自然科学基金（41501543，41472311）和山西省基础研究计划项目（2015021059）资助.

Spatial-temporal distribution and variation characteristics of PM2.5 in Shanxi

  • 1.

    School of Environment and Safety, Taiyuan University of Science and Technology, Taiyuan, 030024, China;

  • 2.

    School of Environmental Science and Engineering, North China Electric Power University, Beijing, 102206, China

  • Fund Project: Supported by the National Natural Science Foundation of China (41501543, 41472311) and Basic Research Project of Shanxi Province(2015021059).

  • 摘要: 本文基于国家空气质量自动监测位点2015年3月到2016年2月全年的逐时监测数据，对山西省11个地级市PM2.5的污染状况与时空分布进行了详细研究.结果表明，山西省11个地级城市PM2.5年均浓度均超过了国家年均浓度的二级标准限值，其中，长治和运城污染最为严重，超标率均高达27.51%.PM2.5月均浓度变化特征分析发现，各地区PM2.5污染高峰主要出现在冬季，9个城市在夏季出现另一小高峰，太原在春季出现另一小高峰.PM2.5/PM10月均浓度变化特征分析发现，太原、大同、晋城、朔州、晋中和忻州等6个城市PM2.5/PM10的值从春季到冬季逐渐增长，临汾和运城该比值波动于50％—70%之间，阳泉和吕梁PM2.5/PM10的值在7月和11月出现两次高峰，长治则在7月和1月出现两次高峰，提示不同地区可能受到不同污染源的影响.PM2.5日变化规律总体较为一致，呈明显的双峰分布，其特征是中午和午夜高，凌晨和下午低.不同季节PM2.5的空间分布虽有很大差异，但总体上南部城市高于北部城市.局部自相关分析发现，山西省PM2.5污染的热点区域主要集中在运城.
    Abstract: Levels and spatial-temporal distribution of PM2.5 in the 11 cities were analyzed in this study, based on the monitoring data from the National Air Quality Automatic Monitoring Station from March 2015 to February 2016. The results showed that the annual average concentrations of PM2.5 in 11 prefecture-level cities all exceeded the Chinese Grade Ⅱ Standard value. Changzhi and Yuncheng were the most polluted cities, with 27.51% of the days exceeding the Grade Ⅱ daily PM2.5 limit. The monthly variation of PM2.5 concentration showed that the larger pollution peak in the whole year mainly occurred in winter, nine cities displayed the other pollution peak in summer, while Taiyuan had the other peak in spring. For PM2.5/PM10 ratio, the value gradually increased from spring to winter in six cities including Taiyuan, Datong, Jincheng, Shuozhou, Jinzhong and Xinzhou. This ratio in Linfen and Yuncheng fluctuated between 50% and 70%. The PM2.5/PM10 ratio in Yangquan and Lvliang peaked in July and November, respectively, while Changzhi showed two peaks in July and January. The different variation characteristics of PM2.5/PM10 ratio indicated that the cities were possibly influenced by different sources. The daily variation of PM2.5 was consistent for all the cities with a remarkable bimodal distribution, peaking at noon and midnight, and declining to the lowest level in the morning and afternoon. The spatial distribution of PM2.5 varied in different seasons, while the PM2.5 levels in southern cities were always higher than those of the northern cities. The local autocorrelation analysis found that the hot spot region of PM2.5 pollution in Shanxi Province was mainly concentrated in Yuncheng.
  • 加载中
  • [1] 贺泓, 王新明, 王跃思, 等. 大气灰霾追因与控制[J]. 中国科学院院刊, 2013, 28: 344-352. HE H,WANG X M, WANG Y S, et al. Formation mechanism and control strategies of haze in China [J]. Bulletin of the Chinese Academy of Sciences, 2013

    , 28: 344-352 (in Chinese).

    [2] 潘小川, 李国星, 高婷. 危险的呼吸: PM2.5的健康危害和经济损失评估研究[M]. 北京: 中国环境科学出版社, 2012. PAN X C, LI G X, GAO T. Dangerous breathing: health hazard and economic loss assessment of PM2.5 [M]. Beijing: China environmental Science Press, 2012

    (in Chinese).

    [3] MARIANTHI-ANNA K, SCHWARTZ J D, WEISSKOPF M G, et al. Long-term PM2.5 exposure and neurological hospital admissions in the northeastern United States [J]. Environmental Health Perspectives, 2016, 124(1): 23-29.
    [4] SAMET J M, ZEGER S L, DOMINICI F, et al. The national morbidity, mortality, and air pollution study. Part Ⅱ: Morbidity and mortality from air pollution in the United States [J]. Research Report (Health Effects Institute), 2000, 94(pt 2): 5-79.
    [5] RAASCHOU-NIELSEN O, ANDERSEN Z J, BEELEN R, et al. Air pollution and lung cancer incidence in 17 European cohorts: Prospective analyses from the European Study of Cohorts for Air Pollution Effects (ESCAPE) [J]. Lancet Oncology, 2013, 14(9): 813-822.
    [6] HEI International Supervisory Commission. Health effects of outdoor air pollution in developing countries of Asia: A literature review [R]. 2004, Boston, MA, Health Effects Institute (Special Report No. 15).
    [7] KATSOUYANNI K, TOULOUMI G, SAMOLI E, et al. Confounding and effect modification in the short-term effects of ambient particles on total mortality: Results from 29 European cities within the APHEA2 project [J]. Epidemiology, 2001, 12(5): 521-531.
    [8] WANG Y G, YING Q, HU J L, et al. Spatial and temporal variations of six criteria air pollutants in 31 provincial capital cities in China during 2013-2014 [J]. Environment International, 2014, 73(1): 413-422.
    [9] ZHAO S, YU Y, YIN D, et al. Annual and diurnal variations of gaseous and particulate pollutants in 31 provincial capital cities based on in situ air quality monitoring data from China National Environmental Monitoring Center [J]. Environment International, 2016, 86: 92-106.
    [10] YIN D, ZHAO S, QU J. Spatial and seasonal variations of gaseous and particulate matter pollutants in 31 provincial capital cities, China [J]. Air Quality Atmosphere & Health, 2016: 1-12.
    [11] 闫雨龙, 何秋生, 钱天伟. 太原市大气污染现状及监测站点优化[J]. 太原科技大学学报, 2010, 31(5): 427-431.

    YAN Y L, HE Q S, QIAN T W. Status of atmospheric pollution and optimization of monitoring sites in urban area of Taiyuan [J]. Journal of Taiyuan University of Science and Technology, 2010, 31(5): 427-431 (in Chinese).

    [12] DAVID BIELLO. World's Top 10 Most Polluted Places [EB/OL]. [2007-9-13]. https://www.scientificamerican.com/article/body-worlds-top-10-most-polluted-places.
    [13] 高琳萍, 刘庆林. 山西环境污染状况及其原因分析[J]. 山西统计, 2001(8): 17. GAO L P, LIU Q L. Analysis of environmental pollution in Shanxi Province and its causes [J]. Shanxi Statistics, 2001(8

    ): 17 (in Chinese).

    [14] 贾晓红. 山西省主要城市大气环境污染特征分析[J]. 山西能源与节能, 2003(4): 20. JIA X H. Analysis of air pollution characteristics of major cities in Shanxi Province [J]. Shanxi Energy and Conservation, 2003(4

    ): 20 (in Chinese).

    [15] 中国环境保护部.2004中国环境状况公报[J]. 环境保护, 2005(6): 11-28. Chinese Ministry of Environmental Protection.Bulletin of China environmental status 2004

    [J]. Environmental Protection,2005(6): 11-28 (in Chinese).

    [16] 梁富生. 改善山西大气污染现状的对策措施初探[J]. 中国环境监测, 2007, 23(4): 68-71.

    LIANG F S. Preliminary searching the countermove and measure for improving the status of air pollution of Shanxi Province [J]. Environmental Monitoring in China, 2007, 23(4): 68-71 (in Chinese).

    [17] 赵衍君, 韩朴, 吴林, 等. 大气污染物及AQI时空特征分析——以山西省2015年上半年为例[J]. 环境保护科学, 2016, 42(3): 94-102.

    ZHAO Y J, HAN P, WU L, et al. Spatial and temporal characteristics analysis of air pollutants and AQI in Shanxi Province in the first half of 2015[J]. Environmental Protection Science, 2016, 42(3): 94-102 (in Chinese).

    [18] CHEN W, TANG H, ZHAO H. Diurnal, weekly and monthly spatial variations of air pollutants and air quality of Beijing [J]. Atmospheric Environment, 2015, 119: 21-34.
    [19] 王冠岚, 薛建军, 张建忠. 2014年京津冀空气污染时空分布特征及主要成因分析[J]. 气象与环境科学, 2016, 39(1): 34-42.

    WANG G L, XUE J J, ZHANG J Z. Analysis of spatial-temporal distribution characteristics and main cause of air pollution in Beijing-Tianjin-Hebei region in 2014 [J]. Meteorological and Environmental Sciences, 2016, 39 (1): 34-42 (in Chinese).

    [20] CHAI F, GAO J, CHEN Z, et al. Spatial and temporal variation of particulate matter and gaseous pollutants in 26 cities in China [J]. Journal of Environmental Sciences, 2014, 26: 75-82.
    [21] 史淑云. 吕梁市离石区大风气候特征分析[J]. 现代农业科技, 2016(18): 222. SHI S Y. Analysis on the climatic characteristics of gales in Lishi district of Lvliang city [J]. Modern Agricultural Science and Technology, 2016(18

    ): 222 (in Chinese).

    [22] 张兵, 侯建, 刘传姚, 等. 2004-2008年我国110个城市大气污染物空间分布特征[J]. 环境与职业医学, 2013, 30(7): 498-502.

    ZHANG B, HOU J, LIU C Y, et al. Spatial distributions of major air pollutants in 110 cities in China, 2004-2008 [J]. Journal of Environmental and Occupational Medicine, 2013, 30 (7): 498-502 (in Chinese).

    [23] 杨中庆. 基于R语言的空间统计分析研究与应用[D]. 广州: 暨南大学, 2006. YANG Z Q. Research and application of spatial statistics analysis based on R [D]. Guangzhou: Jinan university, 2006 (in Chinese).
  • 加载中
WeChat 点击查看大图
计量
  • 文章访问数:  2091
  • HTML全文浏览数:  1988
  • PDF下载数:  564
  • 施引文献:  0
出版历程
  • 收稿日期:  2017-08-14
  • 刊出日期:  2018-05-15
李宏艳, 高雪莹, 李宏宇, 闫雨龙, 郭利利, 何秋生. 山西省大气PM2.5污染时空分布特征[J]. 环境化学, 2018, 37(5): 913-923. doi: 10.7524/j.issn.0254-6108.2017081404
引用本文: 李宏艳, 高雪莹, 李宏宇, 闫雨龙, 郭利利, 何秋生. 山西省大气PM2.5污染时空分布特征[J]. 环境化学, 2018, 37(5): 913-923. doi: 10.7524/j.issn.0254-6108.2017081404
shu
LI Hongyan, GAO Xueying, LI Hongyu, YAN Yulong, GUO Lili, HE Qiusheng. Spatial-temporal distribution and variation characteristics of PM2.5 in Shanxi[J]. Environmental Chemistry, 2018, 37(5): 913-923. doi: 10.7524/j.issn.0254-6108.2017081404
Citation: LI Hongyan, GAO Xueying, LI Hongyu, YAN Yulong, GUO Lili, HE Qiusheng. Spatial-temporal distribution and variation characteristics of PM2.5 in Shanxi[J]. Environmental Chemistry, 2018, 37(5): 913-923. doi: 10.7524/j.issn.0254-6108.2017081404
shu

山西省大气PM2.5污染时空分布特征

  • 1.  太原科技大学环境与安全学院, 太原, 030024;
  • 2.  华北电力大学环境科学与工程学院, 北京, 102206
  • 收稿日期:  2017-08-14
基金项目:

国家自然科学基金（41501543，41472311）和山西省基础研究计划项目（2015021059）资助.

摘要: 本文基于国家空气质量自动监测位点2015年3月到2016年2月全年的逐时监测数据，对山西省11个地级市PM2.5的污染状况与时空分布进行了详细研究.结果表明，山西省11个地级城市PM2.5年均浓度均超过了国家年均浓度的二级标准限值，其中，长治和运城污染最为严重，超标率均高达27.51%.PM2.5月均浓度变化特征分析发现，各地区PM2.5污染高峰主要出现在冬季，9个城市在夏季出现另一小高峰，太原在春季出现另一小高峰.PM2.5/PM10月均浓度变化特征分析发现，太原、大同、晋城、朔州、晋中和忻州等6个城市PM2.5/PM10的值从春季到冬季逐渐增长，临汾和运城该比值波动于50％—70%之间，阳泉和吕梁PM2.5/PM10的值在7月和11月出现两次高峰，长治则在7月和1月出现两次高峰，提示不同地区可能受到不同污染源的影响.PM2.5日变化规律总体较为一致，呈明显的双峰分布，其特征是中午和午夜高，凌晨和下午低.不同季节PM2.5的空间分布虽有很大差异，但总体上南部城市高于北部城市.局部自相关分析发现，山西省PM2.5污染的热点区域主要集中在运城.

English Abstract

    全文HTML

参考文献 (23)

返回顶部

目录

/

返回文章
返回

Copyright © 2019 中国科学院生态环境研究中心