| 长江三角洲2014年天然源BVOCs排放、组成及时空分布 |
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| 引用本文： | 刘岩,李莉,安静宇,张伟,严茹莎,黄凌,黄成,王红丽,王卿,王敏.长江三角洲2014年天然源BVOCs排放、组成及时空分布[J].环境科学,2018,39(2):608-617. |
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| 作者姓名： | 刘岩 李莉 安静宇 张伟 严茹莎 黄凌 黄成 王红丽 王卿 王敏 |
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| 作者单位： | 山东师范大学地理与环境学院, 济南 250014;上海市环境科学研究院, 上海 200233;国家环境保护城市大气复合污染成因与防治重点实验室, 上海 200233,上海市环境科学研究院, 上海 200233;国家环境保护城市大气复合污染成因与防治重点实验室, 上海 200233,上海市环境科学研究院, 上海 200233;国家环境保护城市大气复合污染成因与防治重点实验室, 上海 200233,山东师范大学地理与环境学院, 济南 250014,上海市环境科学研究院, 上海 200233;国家环境保护城市大气复合污染成因与防治重点实验室, 上海 200233,英环(上海)咨询有限公司, 上海 200021,上海市环境科学研究院, 上海 200233;国家环境保护城市大气复合污染成因与防治重点实验室, 上海 200233,上海市环境科学研究院, 上海 200233;国家环境保护城市大气复合污染成因与防治重点实验室, 上海 200233,上海市环境科学研究院, 上海 200233;国家环境保护城市大气复合污染成因与防治重点实验室, 上海 200233,上海市环境科学研究院, 上海 200233;国家环境保护城市大气复合污染成因与防治重点实验室, 上海 200233 |
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| 基金项目： | 国家科技支撑计划项目（2014BAC22B03）；环境保护公益性行业科研专项（201409008）；长三角地区战略环境评价能源消费与大气专题；中国科学院战略性先导科技专项（XDB05020302）；上海市重大科研项目（沪环科2016-12，沪环科2017-2） |
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| 摘 要： | 基于遥感解译植被，结合WRF气象场模拟，利用MEGAN模型估算了2014年长三角地区天然源VOCs（BVOCs）排放清单，分析其化学组成及时空分布特征.结果表明，2014年长三角江浙沪皖三省一市BVOCs排放总量为188.6万t，其中异戊二烯70.42万t（37.3%），单萜烯30.3万t（16.1%），其他VOCs为87.88万t（46.6%）.BVOCs季节变化十分显著，夏季最高，冬季最低；夏季排放占年排放量的60.9%（108.8万t），冬季仅占3.2%（5.7万t）.受植被覆盖影响，BVOCs排放存在空间分布差异，南高北低，浙江、安徽、江苏和上海市的BVOCs排放量依次为84.2万t（44.6%）、76万t（40.3%）、27.2万t（14.4%）和1.2万t（0.7%），这主要与植被类型分布有关.
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| 关 键 词： | 天然源VOCs MEGAN 排放清单 时空分布 长三角 |
| 收稿时间： | 2017/3/30 0:00:00 |
| 修稿时间： | 2017/5/16 0:00:00 |
Emissions, Chemical Composition, and Spatial and Temporal Allocation of the BVOCs in the Yangtze River Delta Region in 2014 |
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| LIU Yan,LI Li,AN Jing-yu,ZHANG Wei,YAN Ru-sh,HUANG Ling,HUANG Cheng,WANG Hong-li,WANG Qing and WANG Min.Emissions, Chemical Composition, and Spatial and Temporal Allocation of the BVOCs in the Yangtze River Delta Region in 2014[J].Chinese Journal of Environmental Science,2018,39(2):608-617. |
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| Authors: | LIU Yan LI Li AN Jing-yu ZHANG Wei YAN Ru-sh HUANG Ling HUANG Cheng WANG Hong-li WANG Qing and WANG Min |
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| Institution: | School of Geography and Environment, Shandong Normal University, Ji''nan 250014, China;Shanghai Academy of Environmental Sciences, Shanghai 200233, China;State Environmental Protection Key Laboratory of the Cause and Prevention of Urban Air Pollution Complex, Shanghai 200233, China,Shanghai Academy of Environmental Sciences, Shanghai 200233, China;State Environmental Protection Key Laboratory of the Cause and Prevention of Urban Air Pollution Complex, Shanghai 200233, China,Shanghai Academy of Environmental Sciences, Shanghai 200233, China;State Environmental Protection Key Laboratory of the Cause and Prevention of Urban Air Pollution Complex, Shanghai 200233, China,School of Geography and Environment, Shandong Normal University, Ji''nan 250014, China,Shanghai Academy of Environmental Sciences, Shanghai 200233, China;State Environmental Protection Key Laboratory of the Cause and Prevention of Urban Air Pollution Complex, Shanghai 200233, China,Ramboll Environ, Shanghai 200021, China,Shanghai Academy of Environmental Sciences, Shanghai 200233, China;State Environmental Protection Key Laboratory of the Cause and Prevention of Urban Air Pollution Complex, Shanghai 200233, China,Shanghai Academy of Environmental Sciences, Shanghai 200233, China;State Environmental Protection Key Laboratory of the Cause and Prevention of Urban Air Pollution Complex, Shanghai 200233, China,Shanghai Academy of Environmental Sciences, Shanghai 200233, China;State Environmental Protection Key Laboratory of the Cause and Prevention of Urban Air Pollution Complex, Shanghai 200233, China and Shanghai Academy of Environmental Sciences, Shanghai 200233, China;State Environmental Protection Key Laboratory of the Cause and Prevention of Urban Air Pollution Complex, Shanghai 200233, China |
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| Abstract: | Based on the land surface vegetation data interpreted via remote sensing and the meteorological conditions predicted via the WRF model, the MEGAN model was applied to calculate the regional BVOC emissions in the Yangtze River Delta (YRD) in 2014. The chemical components and the temporal and spatial allocations were further analyzed. Results show that the annual BVOC emissions in the YRD were 1886 kt, in which isoprene emissions were 704.2 kt (accounting for 37.3%), monoterpenes 303 kt (16.1%), and other VOCs 878.8 kt (46.6%). Seasonal variation of the BVOC emissions was very significant. The BVOC emissions had a strong seasonal pattern, with maximum emissions in summer, accounting for 60.9% (1088 kt) of the total, whereas the minimum emissions occurred in winter, accounting for 3.2% (57 kt). Spatially, the southern YRD produced more BVOC emissions than the northern part did. In Zhejiang, Anhui, Jiangsu, and Shanghai, the BVOC emissions were 842 kt (44.6%), 760 kt (40.3%), 272 kt (14.4%), and 12 kt (0.7%), respectively. This is mainly related to the distribution of vegetation types. |
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| Keywords: | BVOCs MEGAN emission inventory temporal and spatial allocation Yangtze River Delta |
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