首页> 外文期刊>Atmospheric environment >Evolution of the spatiotemporal pattern of PM2.5 concentrations in China - A case study from the Beijing-Tianjin-Hebei region
【24h】

Evolution of the spatiotemporal pattern of PM2.5 concentrations in China - A case study from the Beijing-Tianjin-Hebei region

机译:中国PM2.5浓度时空格局的演变-以京津冀地区为例

获取原文
获取原文并翻译 | 示例
       

摘要

Atmospheric haze pollution has become a global concern because of its severe effects on human health and the environment. The Beijing-Tianjin-Hebei urban agglomeration is located in northern China, and its haze is the most serious in China. The high concentration of PM2.5 is the main cause of haze pollution, and thus investigating the temporal and spatial characteristics of PM2.5 is important for understanding the mechanisms underlying PM2.5 pollution and for preventing haze. In this study, the PM2.5 concentration status in 13 cities from the Beijing-Tianjin-Hebei region was statistically analyzed from January 2016 to November 2016, and the spatial variation of PM2.5 was explored via spatial autocorrelation analysis. The research yielded three overall results. (1) The distribution of PM2.5 concentrations in this area varied greatly during the study period. The concentrations increased from late autumn to early winter, and the spatial range expanded from southeast to northwest. In contrast, the PM2.5 concentration decreased rapidly from late winter to early spring, and the spatial range narrowed from northwest to southeast. (2) The spatial dependence degree, by season from high to low, was in the order winter, autumn, spring, summer. Winter (from December to February of the subsequent year) and summer (from June to August) were, respectively, the highest and lowest seasons with regard to the spatial homogeneity of PM2.5 concentrations. (3) The PM2.5 concentration in the Beijing-Tianjin-Hebei region has significant spatial spillovers. Overall, cities far from Bohai Bay, such as Shijiazhuang and Hengshui, demonstrated a high-high concentration of PM2.5 pollution, while coastal cities, such as Chengde and Qinhuangdao, showed a low-low concentration.
机译:大气雾霾污染由于对人类健康和环境的严重影响而成为全球关注的问题。京津冀城市群位于中国北部,雾霾在中国最为严重。 PM2.5的高浓度是雾霾污染的主要原因,因此研究PM2.5的时空特征对于理解PM2.5污染的潜在机理和预防雾霾很重要。本研究对2016年1月至2016年11月北京-天津-河北地区13个城市的PM2.5浓度进行了统计分析,并通过空间自相关分析探讨了PM2.5的空间变化。该研究产生了三个总体结果。 (1)在研究期间,该地区的PM2.5浓度分布变化很大。从秋季末到冬季初,浓度增加,空间范围从东南向西北扩展。相反,PM2.5浓度从冬末到初春迅速下降,空间范围从西北向东南逐渐缩小。 (2)空间依存度从高到低依次为冬,秋,春,夏。就PM2.5浓度的空间均匀性而言,冬季(次年的12月至次年2月)和夏季(6月至8月)分别是最高和最低的季节。 (3)京津冀地区的PM2.5浓度具有明显的空间溢出效应。总体而言,远离渤海湾的城市,例如石家庄和衡水,呈现高浓度的PM2.5污染,而沿海城市,例如承德和秦皇岛,则呈低-低浓度。

著录项

  • 来源
    《Atmospheric environment》 |2018年第6期|225-233|共9页
  • 作者单位

    China Univ Geosci, Sch Humanities & Econ Management, Beijing 100083, Peoples R China;

    China Univ Geosci, Sch Humanities & Econ Management, Beijing 100083, Peoples R China;

    Univ Glasgow, Adam Smith Business Sch, Glasgow G12 8QQ, Lanark, Scotland;

    China Univ Geosci, Sch Humanities & Econ Management, Beijing 100083, Peoples R China;

    Minist Land & Resources, Key Lab Carrying Capac Assessment Resource & Envi, Beijing 100083, Peoples R China;

    Chongqing Univ Technol, Sch Chem & Chem Engn, Chongqing 400054, Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Beijing-Tianjin-Hebei region; Air pollution; PM2.5 concentration; Spatial autocorrelation analysis;

    机译:京津冀地区空气污染PM2.5浓度空间自相关分析;
  • 入库时间 2022-08-17 13:46:04

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号