Identification of weather patterns impacting 24-h average fine particulate matter pollution.
Identification of weather patterns impacting 24-h average fine particulate matter pollution.
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DOI：
10.1016/j.atmosenv.2010.02.001
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发表时间：
2010-05
影响因子：
5
通讯作者：
S. Beaver;A. Palazoglu;Angadh Singh;S. Soong;S. Tanrikulu
中科院分区：
文献类型：
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作者：
S. Beaver;A. Palazoglu;Angadh Singh;S. Soong;S. Tanrikulu
提出了在三个尺度上提取季节内气象模式的方法，以解释24小时细颗粒物（PM2.5）污染事件：不断变化的大尺度气象情景，天气制度驱动近地表的日变化，和本地化的气象触发器。这些方法被应用于了解冬季天气条件如何影响旧金山弗朗西斯科湾区（SFBA）周围的PM2.5。分析12个冬季（11月至3月）的数据确保了SFBA条件的稳健表征。SFBA 24小时PM2.5浓度（35μg m−3）需要几个同时发生的特征：高空高压脊移过旧金山湾区，在加州中部提供弱的地面气压梯度;持续的东风气流垂直延伸通过旧金山湾区，达到925百帕左右的气压水平;稳定性导致地形上的通道风;在晴朗的天空条件下增强夜间冷却，从而增强加州中部斜坡的排水流量;以及至少连续两天的这些条件。
Methods are presented to extract intra-seasonal meteorological patterns at three scales to explain 24-h fine particulate matter (PM2.5) pollution events: evolving large-scale meteorological scenarios, synoptic regimes driving diurnal variability near the surface, and localized meteorological triggers. The methods were applied to understand how winter weather conditions impacted PM2.5around the San Francisco Bay Area (SFBA). Analyzing data across 12 winters (November–March) ensured robust characterization of the SFBA conditions. SFBA 24-h PM2.5exceedances (35μg m−3) required several simultaneous characteristics: a ridge of aloft high pressure moving over SFBA, providing weak surface pressure gradients over Central California; persistent easterly flows through SFBA extending vertically to around the 925-hPa pressure level; orographically channeled winds resulting from stability; enhanced nocturnal cooling under clear-sky conditions providing for enhanced drainage flows off the Central California slopes; and at least two consecutive days of these conditions.