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首页> 外文期刊>Theoretical and applied climatology >Statistical modelling of the main features of the Artemisia pollen season in Wroclaw, Poland, during the 2002-2011 time period
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Statistical modelling of the main features of the Artemisia pollen season in Wroclaw, Poland, during the 2002-2011 time period

机译:2002-2011年期间波兰弗罗茨瓦夫蒿花粉季节主要特征的统计模型

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摘要

The aim of this article is to present statistical forecasting models concerning the dynamics of Artemisia pollen seasons in Wroclaw, including the start and end, the date of maximum pollen concentration and seasonal pollen index (SPI). For statistical evaluation, use was made of aerobiological and meteorological data from the last 10 years (2002-2011). Based on this data, agroclimatic indicators, i.e. crop heat units (CHUs), were determined for various averaging periods. The beginning of the Artemisia pollen season in the studied time period, on average, took place on 23 June. Its length usually varied between 26 and 45 days, and maximum daily concentrations occurred between 31 July and 18 August. It was found that the beginning of the pollen season depends, above all, on the values of CHUs and photothermal unit (PTU) (p<0.05) in the period from March to June, for various thermal thresholds. The date of maximum daily concentration correlates with sunshine duration, PTU and air temperature for June and July (p<0.05). On the other hand, SPI is connected with thermal variables, i.e. average, maximum and minimum air temperatures and CHUs and heliothermal unit (HTU) for July (p<0.05) and the beginning of spring. Based on the correlation analysis and the chosen variables, regression models for the beginning date of Artemisia pollen season and SPI were prepared, which were then verified by using leave-one-out cross-validation. A better fit between modelled and actual values was found for the analysis concerning the season start date than for the SPI.
机译:本文的目的是提供有关弗罗茨瓦夫蒿花粉季节动态的统计预测模型,包括开始和结束,最大花粉浓度的日期和季节性花粉指数(SPI)。为了进行统计评估,使用了过去10年(2002-2011年)的航空生物学和气象数据。基于该数据,确定了各种平均时期的农业气候指标,即作物热量单位(CHU)。在所研究的时间段内,蒿属花粉季节的平均开始时间为6月23日。它的长度通常在26到45天之间变化,并且最大每日浓度发生在7月31日至8月18日之间。结果发现,花粉季节的开始主要取决于3月至6月期间各种热阈值的CHU和光热单位(PTU)的值(p <0.05)。日最高浓度的日期与6月和7月的日照时间,PTU和气温有关(p <0.05)。另一方面,SPI与热变量相关,即7月(p <0.05)和春季初的平均,最高和最低气温以及CHU和太阳热单位(HTU)。基于相关分析和选择的变量,准备了蒿花粉季节开始日期和SPI的回归模型,然后使用留一法交叉验证进行了验证。在有关季节开始日期的分析中,发现模型值和实际值之间的拟合度比SPI更好。

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  • 来源
    《Theoretical and applied climatology 》 |2015年第4期| 419-432| 共14页
  • 作者单位

    Department of Climatology and Atmosphere Protection, Institute of Geography and Regional Development, University of Wroclaw, 8 Aleksandra Kosiby Street, 51-621 Wroclaw, Poland;

    Department of Climatology and Atmosphere Protection, Institute of Geography and Regional Development, University of Wroclaw, 8 Aleksandra Kosiby Street, 51-621 Wroclaw, Poland;

    Department of Paleobotany, Institute of Geological Sciences, University of Wroclaw, 34 Cybulskiego Street, 50-205 Wroclaw, Poland;

    Department of Paleobotany, Institute of Geological Sciences, University of Wroclaw, 34 Cybulskiego Street, 50-205 Wroclaw, Poland;

    Department of Climatology and Atmosphere Protection, Institute of Geography and Regional Development, University of Wroclaw, 8 Aleksandra Kosiby Street, 51-621 Wroclaw, Poland;

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