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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

机译:基于中国国家环境监测中心的现场空气质量监测数据,对31个省会城市的气态和颗粒污染物的年度和日变化

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摘要

Long-term air quality data with high temporal and spatial resolutions are needed to understand some important processes affecting the air quality and corresponding environmental and health effects. The annual and diurnal variations of each criteria pollutant including PM2.5 and PM10 (particulate matter with aerodynamic diameter less than 2.5 mu m and 10 pm, respectively), CO (carbon monoxide), NO2 (nitrogen dioxide), SO2 (sulfur dioxide) and O-3 (ozone) in 31 provincial capital cities between April 2014 and March 2015 were investigated by cluster analysis to evaluate current air pollution situations in China, and the cities were classified as severely, moderately, and slightly polluted cities according to the variations. The concentrations of air pollutants in winter months were significantly higher than those in other months with the exception of O-3, and the cities with the highest CO and SO2 concentrations were located in northern China. The annual variation of PM2.5 concentrations in northern cities was bimodal with comparable peaks in October 2014 and January 2015, while that in southern China was unobvious with slightly high PM2.5 concentrations in winter months. The concentrations of particulate matter and trace gases from primary emissions (SO2 and CO) and NO2 were low in the afternoon (similar to 16:00), while diurnal variation of O-3 concentrations was opposite to that of other pollutants with the highest values in the afternoon. The most polluted cities were mainly located in North China Plain, while slightly polluted cities mostly focus on southern China and the cities with high altitude such as Lasa. This study provides a basis for the formulation of future urban air pollution control measures in China. (C) 2015 Elsevier Ltd. All rights reserved.
机译:需要具有高时空分辨率的长期空气质量数据,以了解影响空气质量以及相应的环境和健康影响的一些重要过程。每种标准污染物的年度和昼夜变化包括PM2.5和PM10(空气动力学直径分别小于2.5微米和10 pm的颗粒物),CO(一氧化碳),NO2(二氧化氮),SO2(二氧化硫)通过聚类分析调查了2014年4月至2015年3月31个省会城市的O-3和O-3(臭氧),以评估中国目前的空气污染状况,并根据变化将城市分为严重,中度和轻度污染城市。除了O-3以外,冬季其他月份的空气污染物浓度均显着高于其他月份,并且CO和SO2浓度最高的城市位于中国北方。北部城市PM2.5浓度的年变化是双峰的,在2014年10月和2015年1月达到可比的峰值,而中国南部的PM2.5浓度的变化不明显,冬季的PM2.5浓度略高。下午的一次排放(SO2和CO)和NO2中的颗粒物和微量气体浓度较低(类似于16:00),而O-3浓度的日变化与其他污染物的最高值相反下午。污染最严重的城市主要位于华北平原,而污染较轻的城市则主要集中在华南和拉萨等海拔较高的城市。该研究为制定未来中国城市空气污染控制措施提供了依据。 (C)2015 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Environment international》 |2016年第1期|92-106|共15页
  • 作者单位

    Chinese Acad Sci, Key Lab Land Surface Proc & Climate Change Cold &, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Peoples R China;

    Chinese Acad Sci, Key Lab Land Surface Proc & Climate Change Cold &, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Peoples R China;

    Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Key Lab Desert & Desertificat, Lanzhou 730000, Peoples R China|Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Dunhuang Gobi & Desert Ecol & Environm Res Stn, Lanzhou 730000, Peoples R China;

    Nankai Univ, Coll Environm Sci & Engn, Tianjin 300071, Peoples R China;

    Qinghai Prov Meteorol Bur, Weather Modificat Off, Xining 810001, Peoples R China;

    Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Key Lab Desert & Desertificat, Lanzhou 730000, Peoples R China|Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Dunhuang Gobi & Desert Ecol & Environm Res Stn, Lanzhou 730000, Peoples R China;

    Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Key Lab Desert & Desertificat, Lanzhou 730000, Peoples R China|Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Dunhuang Gobi & Desert Ecol & Environm Res Stn, Lanzhou 730000, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Annual variation; Diurnal variation; Air pollution; China Cluster analysis;

    机译:年变化;日变化;空气污染;中国聚类分析;
  • 入库时间 2022-08-17 13:25:09

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