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Spatio-temporal evolution and the influencing factors of PM2.5 in China between 2000 and 2015

机译:2000年至2015年中国PM2.5的时空演变及其影响因素

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摘要

High concentrations of PM2.5 are universally considered as a main cause for haze formation.Therefore,it is important to identify the spatial heterogeneity and influencing factors of PM2.5 concentrations for regional air quality control and management.In this study,PM2.5 data from 2000 to 2015 was determined from an inversion of NASA atmospheric remote sensing images.Using geo-statistics,geographic detectors,and geo-spatial analysis methods,the spatio-temporal evolution patterns and driving factors of PM2.5 concentration in China were evaluated.The main results are as follows.(1) In general,the average concentration of PM2.5 in China increased quickly and reached its peak value in 2006;subsequently,concentrations remained between 21.84 and 35.08 μg/m3.(2) PM2.5 is strikingly heterogeneous in China,with higher concentrations in the north and east than in the south and west.In particular,areas with relatively high PM2.5 concentrations are primarily in four regions,the Huang-Huai-Hai Plain,Lower Yangtze River Delta Plain,Sichuan Basin,and Taklimakan Desert.Among them,Beijing-Tianjin-Hebei Region has the highest concentration of PM2.5.(3) The center of gravity of PM2.5 has generally moved northeastward,which indicates an increasingly serious haze in eastern China.High-value PM2.5 concentrations have moved eastward,while low-value PM2.5 has moved westward.(4) Spatial autocorrelation analysis indicates a significantly positive spatial correlation.The "High-High" PM2.5 agglomeration areas are distributed in the Huang-Huai-Hai Plain,Fenhe-Weihe River Basin,Sichuan Basin,and Jianghan Plain regions.The "Low-Low" PM2.5 agglomeration areas include Inner Mongolia and Heilongjiang,north of the Great Wall,Qinghai-Tibet Plateau,and Taiwan,Hainan,and Fujian and other southeast coastal cities and islands.(5) Geographic detection analysis indicates that both natural and anthropogenic factors account for spatial variations in PM2.5 concentration.Geographical location,population density,automobile quantity,industrial discharge,and straw burning are the main driving forces of PM2.5 concentration in China.
机译:普遍认为高浓度的PM2.5是形成雾霾的主要原因。因此,识别PM2.5浓度的空间异质性和影响因素对于区域空气质量控制和管理很重要。利用美国国家航空航天局(NASA)的大气遥感图像反演获得2000年至2015年的数据。利用地统计学,地理探测器和地理空间分析方法,对中国PM2.5浓度的时空演变模式和驱动因素进行了评估。主要研究结果如下:(1)总体上,中国PM2.5的平均浓度迅速上升并在2006年达到峰值;随后,浓度保持在21.84至35.08μg/ m3之间。(2)PM2。 5在中国具有明显的异质性,北部和东部的浓度高于南部和西部。特别是PM2.5浓度较高的地区主要分布在黄淮海平原四个地区,长江三角洲下游平原,四川盆地和塔克拉玛干沙漠。其中,北京-天津-河北地区的PM2.5浓度最高。(3)PM2.5的重心通常向东北移动,这表明高值PM2.5浓度向东移动,而低值PM2.5向西移动。(4)空间自相关分析表明空间相关性显着正。 “ PM2.5集聚区分布在黄淮海平原,F渭河流域,四川盆地和江汉平原地区。“低-低” PM2.5集聚区包括内蒙古和黑龙江,长城以北,青藏高原,台湾,海南和福建等东南沿海城市和岛屿。(5)地理检测分析表明,自然和人为因素均是PM2.5浓度空间变化的原因。位置,人口密度质量,汽车数量,工业排放和秸秆焚烧是中国PM2.5浓度的主要驱动力。

著录项

  • 来源
    《地理学报(英文版)》 |2019年第2期|253-270|共18页
  • 作者单位

    Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, China;

    Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;

    Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;

    School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210023, China;

    College of Geography and Environment Sciences, Northwest Normal University, Lanzhou 730070, China;

    Department of Geography, The University of Hong Kong, Hong Kong 999077, China;

    Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;

  • 收录信息 中国科学引文数据库(CSCD);
  • 原文格式 PDF
  • 正文语种 eng
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