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A highly resolved temporal and spatial air pollutant emission inventory for the Pearl River Delta region, China and its uncertainty assessment

机译：中国珠江三角洲高度解析的时空大气污染物排放清单及其不确定性评估

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摘要

A highly resolved temporal and spatial Pearl River Delta (PRD) regional emission inventory for the year 2006 was developed with the use of best available domestic emission factors and activity data. The inventory covers major emission sources in the region and a bottom-up approach was adopted to compile the inventory for those sources where possible. The results show that the estimates for SO_2, NO_x, CO, PM_(10), PM_(2.5) and VOC emissions in the PRD region for the year 2006 are 711.4 kt, 891.9 kt, 3840.6 kt, 418.4 kt, 204.6 kt, and 1180.1 kt, respectively. About 91.4% of SO_2 emissions were from power plant and industrial sources, and 87.2% of NO_x emissions were from power plant and mobile sources. The industrial, mobile and power plant sources are major contributors to PM_(10) and PM_(2.5) emissions, accounting for 97.7% of the total PM_(10) and 97.2% of PM_(2.5) emissions, respectively. Mobile, biogenic and VOC product-related sources are responsible for 90.5% of the total VOC emissions. The emissions are spatially allocated onto grid cells with a resolution of 3 km × 3 km, showing that anthropogenic air pollutant emissions are mainly distributed over PRD central-southern city cluster areas. The preliminary temporal profiles were established for the power plant, industrial and on-road mobile sources. There is relatively low uncertainty in SO_2 emission estimates with a range of -16% to +21% from power plant sources, medium to high uncertainty for the NO_x emissions, and high uncertainties in the VOC, PM_(2.5), PM_(10) and CO emissions.
机译：利用可获得的最佳国内排放因子和活动数据，编制了高度解析的2006年时空分布的珠江三角洲（PRD）区域排放清单。清单涵盖了该区域的主要排放源，并采用了自下而上的方法来尽可能汇编这些源的清单。结果表明，珠三角地区2006年SO_2，NO_x，CO，PM_（10），PM_（2.5）和VOC排放量的估算值为711.4 kt，891.9 kt，3840.6 kt，418.4 kt，204.6 kt和分别为1180.1 kt。 SO_2排放量中约91.4％来自电厂和工业来源，而NO_x排放量中87.2％来自电厂和移动来源。工业，移动和发电厂的排放源是PM_（10）和PM_（2.5）排放的主要贡献者，分别占PM_（10）排放总量的97.7％和PM_（2.5）排放总量的97.2％。与移动，生物源和VOC产品相关的来源占VOC总排放量的90.5％。排放物在空间上以3 km×3 km的分辨率分配到网格单元上，这表明人为的空气污染物排放量主要分布在珠三角的中南部城市群区域。为发电厂，工业和公路上的移动源建立了初步的时间剖面。 SO_2排放估算的不确定性相对较低，发电厂的不确定性范围为-16％至+ 21％，NO_x排放的不确定性为中到高，VOC，PM_（2.5）和PM_（10）的不确定性较高。和一氧化碳排放。

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  • 来源
    《Atmospheric environment》 |2009年第32期|5112-5122|共11页
  • 作者

    Junyu Zheng; Lijun Zhang; Wenwei Che; Zhuoyun Zheng; Shasha Yin;

  • 作者单位

    School of Environmental Science and Engineering, South China University of Technology, B4-514, South Campus, University Town, Guangzhou 510006, PR China;

    School of Environmental Science and Engineering, South China University of Technology, B4-514, South Campus, University Town, Guangzhou 510006, PR China;

    School of Environmental Science and Engineering, South China University of Technology, B4-514, South Campus, University Town, Guangzhou 510006, PR China;

    School of Environmental Science and Engineering, South China University of Technology, B4-514, South Campus, University Town, Guangzhou 510006, PR China;

    School of Environmental Science and Engineering, South China University of Technology, B4-514, South Campus, University Town, Guangzhou 510006, PR China;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    emission inventory; temporal; spatial; uncertainty; PRD region;

    机译：排放清单;颞;空间不确定;珠三角地区;

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