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Classification of weather patterns to study the influence of meteorological characteristics on PM2.5 concentrations in Yunlin County, Taiwan

机译:天气模式分类研究气象特征对台湾云林县PM2.5浓度的影响

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摘要

Yunlin County is located in the central part of western Taiwan with major emissions from the Mailiao industrial park, the Taichung Power Plants and heavy traffic. In order to understand the influence of meteorological conditions on PM2.5 concentrations in Yunlin County, we applied a two-stage cluster analysis method using the daily averaged surface winds from four air quality monitoring stations in Yunlin County to classify the weather pattern. The study period includes 1095 days from Jan 2013 to December 2015. The classification results show that the low PM2.5 concentration occurs when the synoptic weather in Taiwan is affected by the strong southwesterly monsoonal flow. The high PM2.5 concentration occurs when Taiwan is under the influence of weak synoptic weather conditions and continental high-pressure peripheral circulation. A high PM2.5 event was studied and the Weather Research and Forecasting (WRF) meteorological model was performed. The result indicated that due to being blocked by the Central Mountain Range, Yunlin County, which is situated on the leeside of the mountains, exhibits low wind speed and strong subsidence behavior that favors PM2.5 accumulation. (C) 2016 Elsevier Ltd. All rights reserved.
机译:云林县位于台湾中部,麦Mail工业园区,台中发电厂的主要排放物和交通繁忙。为了了解云林县气象条件对PM2.5浓度的影响,我们采用云林县四个空气质量监测站日平均地表风的两阶段聚类分析方法对天气模式进行分类。研究期为2013年1月至2015年12月,共1095天。分类结果显示,当台湾的天气天气受到强烈的西南季风影响时,PM2.5浓度较低。当台湾在天气天气条件恶劣和大陆高压外围环流的影响下时,PM2.5浓度较高。研究了一个高PM2.5事件,并进行了气象研究和预报(WRF)气象模型。结果表明,由于中央山脉的阻挡,位于山背风的云林县风速低,沉降性强,有利于PM2.5的积累。 (C)2016 Elsevier Ltd.保留所有权利。

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