Turkish State Meteorological Service, Regional Weather Forecast and Early Warning Center, Istanbul, Turkey.
Department of Physics, Marmara University, Istanbul, Turkey.
Environ Monit Assess. 2019 Jun 26;191(7):466. doi: 10.1007/s10661-019-7609-7.
High levels of atmospheric pollutants have been frequently measured in Turkey during the last decade. Specifically, the occurrence of these high particulate matter concentrations is often related to either local-scale conditions or regional-scale transport. In order to better understand the atmospheric factors that trigger poor air quality, further research investigating the relationship between air pollution and meteorological variables or atmospheric circulation patterns is needed. In this study, the influence of synoptic-scale weather types on PM levels over the Aegean region of Turkey is investigated for the period 2008-2015. First of all, hourly PM concentrations of 13 air quality stations are respectively converted to daily, seasonal, and regional averages. The seasonal variability of PM values in the region indicates that high particulate matter concentrations are registered in winter, fall, spring, and summer months with mean values at 90.6 (± 38.3 standard deviation), 66.9 (± 28.3), 61.6 (± 23.4), and 54.1 (± 12.8) μg m, respectively. In regard to the synoptic-scale approach, eight directional and two vorticity types of the Lamb weather type (LWT) method are used in the analysis. Based on the results, poor air quality conditions are observed in all seasons during active southeasterly (SE, interaction between a low pressure over Italy and a high pressure over the Caspian Sea) circulation types (CTs). In winter, mainly easterly (E), SE, southerly (S), and anticyclonic (A) weather patterns result in above normal PM concentrations. In addition to these four CTs, southwesterly (SW) types also cause higher PM values in the spring season. During summer, SE, SW, westerly (W), and cyclonic (C) CTs are associated with above-normal PM values. During fall, obvious higher PM concentrations are found during SE, S, and A types.
在过去十年中,土耳其经常测量到大气污染物的高浓度水平。具体来说,这些高颗粒物浓度的发生通常与局部尺度条件或区域尺度输送有关。为了更好地了解引发空气质量差的大气因素,需要进一步研究空气污染与气象变量或大气环流模式之间的关系。在这项研究中,研究了 2008-2015 年期间,天气型对土耳其爱琴海地区 PM 水平的影响。首先,将 13 个空气质量站的每小时 PM 浓度分别转换为日、季和区域平均值。该地区 PM 值的季节性变化表明,高颗粒物浓度出现在冬季、秋季、春季和夏季,均值分别为 90.6(±38.3 标准差)、66.9(±28.3)、61.6(±23.4)和 54.1(±12.8)μg m。关于天气尺度方法,使用 Lamb 天气型(LWT)方法的 8 个定向和 2 个涡度型进行分析。结果表明,在意大利低压和里海高压之间相互作用的活跃东南(SE)环流类型(CT)期间,所有季节的空气质量较差。在冬季,主要是东风(E)、SE、南风(S)和反气旋(A)天气模式导致 PM 浓度高于正常值。除了这四个 CT 之外,西南(SW)类型也导致春季 PM 值升高。在夏季,SE、SW、西风(W)和气旋(C)CT 与高于正常的 PM 值有关。在秋季,SE、S 和 A 型明显发现更高的 PM 浓度。