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Types of Artemisia pollen season depending on the weather conditions in Wrocław (Poland) 2002–2011

机译:2002-2011年弗罗茨瓦夫(波兰)的天气状况决定的蒿花粉季节类型

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摘要

The aim of the study was to characterise Artemisia pollen season types according to weather conditions in Wrocław (south-western Poland) in the years 2002–2011. Over the period analysed, the start date of the pollen season (determined by the 95 % method) ranged from 10 July 2002 to 28 July 2010. The start date of the pollen season can be determined by using Crop Heat Units (CHUs). During the period 2002–2011, the Artemisia pollen season started after the cumulative value of CHUs had reached 2,000–2,100 °C. The three distinguished types of Artemisia pollen season are best described by the frequency of weather types defined by the type of circulation, mean daily air temperature, and the occurrence of rain. The variation in these factors affected the dynamics of the pollen season. The noteworthy frequency of days with rain and high seasonal sum of precipitation totals as well as the dominance of cyclonic weather from the westerly direction had an impact on the extension of the pollen season. The meteorological factors that directly affect pollen release and transport primarily include air humidity, expressed as vapour pressure (r > 0.3, p < 0.01), temperature(r from 0.2 to 0.4, p < 0.01). The relationships between averaged meteorological data and daily pollen concentration were stronger (r > 0.5, p < 0.01). Based on the correlation analysis, the meteorological variables were selected and regression equations were established using stepwise backward regression analysis.
机译:这项研究的目的是根据2002-2011年弗罗茨瓦夫(波兰西南部)的天气状况来表征蒿花粉的季​​节类型。在所分析的期间内,花粉季节的开始日期(通过95%方法确定)范围为2002年7月10日至2010年7月28日。花粉季节的开始日期可以使用作物热量单位(CHU)确定。在2002–2011年期间,在CHU的累积值达到2,000–2,100°C之后,蒿属的花粉季节开始了。通过循环类型,平均每日气温和降雨的发生来定义天气类型的频率,可以最好地描述三种不同类型的蒿属花粉季节。这些因素的变化影响了花粉季节的动态。值得注意的是,有雨的日子的频率和总降水量的高季节性总和,以及从西风方向的气旋天气的优势对花粉季节的延长有影响。直接影响花粉释放和运输的气象因素主要包括空气湿度,以蒸气压(r> 0.3,p <0.01),温度(r从0.2至0.4,p <0.01)表示。平均气象数据与每日花粉浓度之间的关系更强(r> 0.5,p <0.01)。在相关分析的基础上,选择气象变量,并采用逐步向后回归分析建立回归方程。

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