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Temporal, spatial characteristics and uncertainty of biogenic VOC emissions in the Pearl River Delta region, China

机译：珠江三角洲地区生物VOC排放的时间，空间特征和不确定性

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摘要

Using the Global Biosphere Emissions and Interactions System model (GloBEIS), 3 × 3 km gridded and hourly biogenic volatile organic compound (BVOC) emissions in the Pearl River Delta (PRD) were estimated for the year 2006. The study used newly available land cover database, observed meteorological data, and recent measurements of emission rates for tree species in China. The results show that the total BVOC emission in the PRD region in 2006 was 296 kt (2.2×10~(11) gC), of which isoprene contributes about 25% (73 kt 6.4 × 10~(10) gC), monoterpenes about 34% (102 kt, 8.9 × 10~(10) gC), and other VOCs (OVOC) about 41% (121 kt, 6.8 × 10~(10) gC). BVOC emissions in the PRD region exhibit a marked seasonal pattern with the peak emission in July and the lowest emission in January, and are mainly distributed over the outlying areas of the PRD region, where the economy and land use are less developed. The uncertainties in BVOC emission estimates were quantified using Monte Carlo simulation; the results indicate high uncertainties in isoprene emission estimates, with a relative error of -82 to +177%, ranging from 12.4 to 186.4 kt; -41 to +58% uncertainty for monoterpenes emissions, ranging from 67.7 to 181.9 kt; and -26 to +30% uncertainty in OVOC emissions, ranging from 88.8 to 156.2 kt on the 95% confidence intervals. The key uncertainty sources include emission factors and the model empirical coefficients α, C_(T1), C_L, and E_(opt) for estimating isoprene emission, and emission factors and foliar density for estimating monoterpenes and OVOC emissions. This implies that determining these empirical coefficient values properly and conducting more field measurements of emission rates of tree species are key approaches for reducing uncertainties in BVOC emission estimates. Improving future BVOC emission inventory work in the PRD region requires giving priority to research on shrub land, coniferous forests, and irrigated cropland and pasture.
机译：使用全球生物圈排放与相互作用系统模型（GloBEIS），估计2006年珠江三角洲（PRD）的3×3 km网格和每小时生物成因挥发性有机化合物（BVOC）排放量。该研究使用了新近获得的土地覆盖数据库，观测到的气象数据以及最近对中国树木物种排放率的测量。结果表明，2006年珠三角地区的BVOC排放总量为296 kt（2.2×10〜（11）gC），其中异戊二烯占25％（73 kt 6.4×10〜（10）gC），单萜约为34％（102 kt，8.9×10〜（10）gC），其他VOC（OVOC）约41％（121 kt，6.8×10〜（10）gC）。珠三角地区的BVOC排放呈现明显的季节性模式，7月达到峰值，1月达到最低，主要分布在珠三角地区的外围地区，这些地区的经济和土地利用都不那么发达。 BVOC排放估算中的不确定性使用蒙特卡洛模拟进行量化；结果表明，异戊二烯排放估算值存在高度不确定性，相对误差为-82至+ 177％，范围为12.4至186.4 kt。单萜类排放物的不确定度为-41至+ 58％，范围从67.7至181.9 kt； OVOC排放的不确定性为-26至+ 30％，在95％的置信区间上为88.8至156.2 kt。关键的不确定性来源包括排放因子和用于估算异戊二烯排放的模型经验系数α，C_（T1），C_L和E_（opt），以及用于估算单萜和OVOC排放的排放因子和叶面密度。这意味着适当确定这些经验系数值并进行树种排放速率的更多实地测量是减少BVOC排放估算中不确定性的关键方法。改善珠三角地区未来的BVOC排放清单工作需要优先研究灌木地，针叶林，灌溉农田和牧场。

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  • 来源
    《Atmospheric environment》 |2010年第16期|P.1960-1969|共10页
  • 作者

    Junyu Zheng; Zhuoyun Zheng; Yufan Yu; Liuju Zhong;

  • 作者单位

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

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

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

    Guangdong Provincial Environmental Monitoring Center, 335 Dong Feng Zhong Road, Guangzhou 510045, PR China;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    biogenic VOCs; temporal and spatial characteristics; bloBEIS model; uncertainty; monte carlo simulation1;

    机译：生物VOC;时空特征;bloBEIS模型;不确定;蒙特卡洛模拟1;

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