首页> 外文期刊>Journal of environmental monitoring: JEM >Description of the main Poaceae pollen season using bi-Gaussian curves, and forecasting methods for the start and peak dates for this type of season in Rzeszów and Ostrowiec ?w. (SE Poland)
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Description of the main Poaceae pollen season using bi-Gaussian curves, and forecasting methods for the start and peak dates for this type of season in Rzeszów and Ostrowiec ?w. (SE Poland)

机译:使用双高斯曲线描述禾本科的主要花粉季节,并在热舒夫和奥斯特罗维茨瓦夫地区对该类型季节的开始和高峰日期进行预测。 (波兰东南部)

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摘要

Grasses characteristically produce a huge amount of small pollen grains, which pose a risk to allergy sufferers. In many aerobiological studies, great variations in the behaviour of the grass pollen season are stressed. We state that in Rzeszów and Ostrowiec ?w. there is some regularity in the pattern of the main grass pollen seasons, which is clearly double-peaked. The aim of our work was to elaborate the algorithm which defines the main grass pollen season. Next, the null hypothesis was tested about the lack of difference between daily pollen concentrations and meteorological parameters. Grass pollen seasons were defined using the method of fitting two bell curves. The estimated grass pollen season is characterised by two periods of high or relatively high concentrations, separated by a period of low concentration. In order to investigate the time dependence of the correlation between pollen concentration and the weather parameters, the Gaussian-weighted correlation coefficient has been calculated. Maximum temperature, mean temperature and sunshine positively correlated with pollen concentrations, but relative air humidity and rainfall on the previous day had a negative effect. The temperatures of the second and third ten-day periods of April were the best independent variables for forecasting the beginning and peak dates of the main pollen seasons. An analysis of the results shows that the pattern of successive flowering in grass species and meadow cutting dates appear to be the factors which cause the characteristic bimodal behaviour of the grass pollen season.
机译:草通常会产生大量的小花粉粒,对过敏者构成威胁。在许多航空生物学研究中,强调了花粉季节行为的巨大变化。我们在热舒夫和奥斯特罗维茨?w中指出。主要花粉季节的格局有一定规律性,这显然是双峰的。我们工作的目的是阐述定义主要花粉季节的算法。接下来,测试了关于每日花粉浓度和气象参数之间没有差异的零假设。使用拟合两个钟形曲线的方法定义草粉的花粉季节。估计的草粉花粉季节的特征是两个高浓度或相对较高的浓度期,一个低浓度期隔开。为了研究花粉浓度与天气参数之间相关性的时间依赖性,已计算出高斯加权相关系数。最高温度,平均温度和日照与花粉浓度呈正相关,但前一天的相对空气湿度和降雨量有负面影响。 4月第二个和第三个十天的温度是预测主要花粉季节开始和高峰日期的最佳独立变量。结果分析表明,草种和割草日期的连续开花方式似乎是引起草花粉季节特征性双峰行为的因素。

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