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Variations and trends of Betula pollen seasons in Moscow (Russia) in relation to meteorological parameters

机译:莫斯科(俄罗斯)的桦木花粉季节的变化和趋势与气象参数的关系

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摘要

This study investigates possible links of meteorological data and the start date, end date, duration, date of peak, peak value and Seasonal Pollen Index (SPI) of birch pollen seasons recorded in Moscow, Russia, during 1993-2015. Pollen data were collected by a volumetric spore trap. Correlation analysis was used to study relationships between various parameters of pollen seasons. Simple linear regression analysis was conducted to investigate trends over time; multiple stepwise regression analysis was used to describe SPI fluctuations as a function of seasonal or monthly climatic parameters. Air temperatures increased significantly during the study period, but no effect on the timing of the birch pollen season was found. Only the severity of the season showed significant changes that can be considered as a consequence of global warming. Rainfall in May and June of the year preceding flowering, total rainfall in the 40-day pre-season period and average temperature during the pollination were shown to be the most important parameters affecting birch pollen concentrations.
机译:这项研究调查了气象数据与1993-2015年在俄罗斯莫斯科记录的桦树花粉季节的开始日期,结束日期,持续时间,高峰日期,峰值和季节性花粉指数(SPI)的可能联系。花粉数据通过孢子捕集阱收集。相关分析用于研究花粉季节各个参数之间的关系。进行了简单的线性回归分析以调查一段时间内的趋势。多元逐步回归分析用于描述SPI波动随季节或每月气候参数的变化。在研究期间,气温明显升高,但未发现对桦树花粉季节的影响。只有季节的严重性才显示出明显的变化,这可以认为是全球变暖的结果。开花前一年的五月和六月的降雨量,季前40天的总降雨量和授粉期间的平均温度被证明是影响桦树花粉浓度的最重要参数。

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