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| 利用后向轨迹模式研究上海市PM2.5来源分布及传输特征 |
| Study of Source Distribution and Transportation Characteristics of PM2.5in Shanghai Using Back Ward Trajectory Model |
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| DOI： |
| 中文关键词: 后向轨迹 轨迹多元回归 聚类分析 潜在源贡献因子 浓度权重轨迹 PM2.5 |
| 英文关键词: Back ward trajectory Trajectory multi linear regression Cluster analysis Potential source contribution factors Concentration weighed trajectory PM2.5 |
| 基金项目:上海市科学技术委员会科研专项基金资助项目(12dz1202700) |
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| 摘要点击次数: 2041 |
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| 中文摘要: |
| 利用后向轨迹模型，结合上海PM2.5的浓度数据计算了2012年6月27日—2013年6月26日以上海为起始点的后向轨迹，并通过轨迹相关的分析方法，研究不同来源区域对上海PM2.5浓度的贡献影响。结果表明：长三角地区的排放对上海的贡献最为显著；苏北、山东等地区的排放对上海也有较明显的贡献；来自海面的贡献总体低于大陆。所采用的轨迹多元回归分析法为PM2.5的来源分布及传输特征研究提供了新思路。 |
| 英文摘要: |
| Back ward trajectory model was used along with PM2.5concentration data of Shanghai to compute the backward air flow trajectories starting from June 27, 2012 to June 26, 2013. Based on the trajectories, study of PM2.5source contribution in Shanghai was conducted with trajectory related methods. The results showed that the emission in Yangtze River Delta region was the major contribution, emissions from the areas in Shandong Province and northern Jiangsu Province were also an important contribution source, while contribution from the seas was much less than that from the land.Among the analysis methods, TMLR provides a new idea for the study of PM2.5source distribution and transportation characteristics. |
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