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| 百色市冬季PM2.5传输路径及来源分析 |
| Transmission Path and Potential Sources of PM2.5During the Winter in Baise |
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| DOI： |
| 中文关键词: PM2.5 后向轨迹 潜在源贡献因子 浓度权重轨迹 CAMx模式 百色 |
| 英文关键词: PM2.5 Backward trajectory Potential source contribution factor Concentration weight trajectory CAMx model Baise |
| 基金项目:2019年广西自然科学基金资助项目(2019GXNSFAA185061)；广西科技基金资助项目(桂科AB16380292)；广西青年基金资助项目“南宁市大气新粒子生成的环境影响因素研究” |
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| 中文摘要: |
| 通过采用后向轨迹结合聚类分析方法计算2015—2016年百色市PM25潜在源贡献因子(PSCF)和浓度权重轨迹(CWT)，分析影响该市冬季PM25质量浓度的潜在源区，并探讨不同源区对PM25的贡献率。同时，使用CAMx模式模拟百色市各县区及周边区域对该市大气传输的影响。结果表明，影响百色市PM25浓度潜在源主要集中在该市和临近的河池、南宁、崇左，以及北部的贵州省；CAMx模式模拟对百色市冬季大气污染物传输的地区来源与该市大气污染物的PSCF分析和CWT分析权重较大的区域较为一致，这些区域对百色市PM25的贡献率达73%。 |
| 英文摘要: |
| By adopting backward trajectory and cluster analysis method， the potential source contribution function（PSCF） and the concentration weight trajectories (CWT) of PM2.5 in Baise from 2015 to 2016 were calculated. The potential source of PM2.5 mass concentration in winter and the contribution rates of different sources were analyzed. Meanwhile， CAMx model was used to simulate the impact of air transmission from the counties of Baise and their surroundings. The results indicated that the potential PM2.5 sources were mainly in Baise and the adjacent cities， such as Hechi， Nanning， Chongzuo， and in north of Guizhou province. The simulated result of air transmission source during the winter in Baise by CAMx model was consistent with the results by PSCF and CWT in high weighted area， where the contribution rate was up to 73%. |
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