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Characteristics of the Spatial and Temporal Variations of Ambient PM2.5 Concentration at Kaohsiung City

机译:高雄市环境PM2.5集中的空间和时间变化的特征

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The study analyzed the hourly and daily trends of PM2.5 concentration and summarized the spatial change in PM2.5 concentration as well as locations of the concentration hot spots based on data of PM2.5 concentration, wind speed, and wind direction collected at the air quality monitoring stations in 2010 at Kaohsiung City, Taiwan. Results from the correlation analysis of PM2.5 concentration suggest that for short-term (1-hr), PM2.5 concentration could be easily affected by pollution sources around the monitoring stations, due to the atmospheric dispersion, the trends of long-term concentration change among stations were similar (24-hr). The average annual PM2.5 concentration at Kaohsiung City was 41 μg/m~3, and the annual over-standard rate was 13.08% compared with the alert concentration value of 65 μg/m~3. The average 24-hr PM2.5 concentration was the lowest in summer (23 μg/m~3) but the highest in winter (62 μg/m~3). Concentration change was also the greatest in winter, and nearly 40% of the winter time the concentration was over-standard. Results of this study suggest that higher PM2.5 concentration would mainly happen with the winter monsoon (north wind), while lower PM2.5 concentration would mainly happen with the summer monsoon (southwest wind). Furthermore, Daliao and Linyuan monitoring stations at Kaohsiung City are the hot spots with the highest concentration. The results also suggest that the environmental agency should further assess influences from these high PM2.5 concentration hot spots on local people and formulate effective strategies for pollution emission control.
机译:该研究分析了PM2.5浓度的每小时和每日趋势,并总结了PM2.5浓度的空间变化以及基于PM2.5浓度,风速和风向的数据的浓度热点的位置2010年在台湾高雄市的空气质量监测站。 PM2.5浓度的相关分析结果表明,由于短期(1-HR),PM2.5浓度可能很容易受到监测站周围的污染源,由于大气分散,长期趋势站之间的浓度变化相似(24-HR)。高雄市的平均PM2.5浓度为41μg/ m〜3,而年度过度标准率为13.08%,而警报浓度值为65μg/ m〜3。平均24小时PM2.5浓度在夏季最低(23μg/ m〜3),但冬季最高(62μg/ m〜3)。浓度变化也是冬季最大的,冬季冬季的40%浓度是过度标准的。该研究的结果表明,冬季季风(北风)主要发生较高的PM2.5浓度,而夏季季风(西南风)主要发生较低的PM2.5浓度。此外,高雄市的Daliao和林源监测站是浓度最高的热点。结果还表明,环境机构应进一步评估当地人民上这些高PM2.5浓度热点的影响,并制定有效的污染排放控制策略。

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