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Short-term effects of anthropogenic/natural activities on the Tehran criteria air pollutants: Source apportionment and spatiotemporal variation
Building and Environment ( IF 7.4 ) Pub Date : 2020-12-01 , DOI: 10.1016/j.buildenv.2020.107298
Omid Ghaffarpasand , Saeed Nadi , Zahra Davari Shalamzari

Abstract In this paper, we apply a somewhat new approach to address the data missing issue of the detailed air monitoring dataset of Tehran 2018 (hourly data of over 15 monitoring sites) and to study the short-term effects of anthropogenic/natural activities on the criteria air pollutants (CAP) in the urban and rural areas. A homogenous dataset was produced by the Singular Value Thresholding (SVT) algorithm and source apportionment was then conducted using the absolute principle component scores-multiple linear regression (APCS-MLR) method. The contributions of major sources to the local ozone level and the existing correlations between the CAP concentrations are also discussed. Results show that the vehicular emissions were the predominant contributors to the CAP concentrations, accounting for an average of 45%, and desert dust and industries around the city were ranked as the subsequent principal CAP sources for the summer season. Residential and transportation sectors accounted for an average of 59% and 18.4% of the CAP concentrations in the wintertime, respectively. Aerosols formation was accelerated during the “lunch-time” peak. This phenomenon was attributed to the heavy traffic emission of Tehran in urban environments. The concentrations of CAP, except ozone, gently increase by moving toward the cold days of the year, whereas O3 concentration usually exceeds 70 μg/m3 in summer days. On-road vehicle emissions were the leading source of ozone formation in Tehran for the studied time. The correlation coefficients of ozone and other CAP vary to some extent by moving from urban areas toward the rural areas of the city.

中文翻译:

人为/自然活动对德黑兰标准空气污染物的短期影响:来源分配和时空变化

摘要 在本文中,我们应用了一种新方法来解决德黑兰 2018 年详细空气监测数据集(超过 15 个监测点的每小时数据)的数据缺失问题,并研究人为/自然活动对气候的短期影响。城市和农村地区的空气污染物(CAP)标准。通过奇异值阈值 (SVT) 算法生成同质数据集,然后使用绝对主成分分数-多元线性回归 (APCS-MLR) 方法进行源分配。还讨论了主要来源对当地臭氧水平的贡献以及 CAP 浓度之间的现有相关性。结果表明,汽车排放是 CAP 浓度的主要贡献者,平均占 45%,城市周围的沙漠粉尘和工业被列为随后夏季的主要 CAP 来源。住宅和交通部门分别占冬季 CAP 浓度的平均 59% 和 18.4%。在“午餐时间”高峰期间,气溶胶形成加速。这种现象归因于德黑兰在城市环境中的大量交通排放。除臭氧外,CAP 的浓度随着向一年中寒冷的日子移动而逐渐增加,而 O3 浓度在夏季通常超过 70 μg/m3。在研究的时间内,道路车辆排放是德黑兰臭氧形成的主要来源。臭氧和其他 CAP 的相关系数随着从城市地区向城市的农村地区移动而有所不同。
更新日期:2020-12-01
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