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Influence of meteorological parameters on Olea flowering date and airborne pollen concentration in four regions of Portugal

机译:气象参数对葡萄牙四个地区油橄榄开花日期和空气中花粉浓度的影响

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摘要

For calculating the total annual Olea pollen concentration, the onset of the main pollen season and the peak pollen concentration dates, using data from 1998 to 2004, predictive models were developed using multiple regression analysis. Four Portuguese regions were studied: Reguengos de Monsaraz, Valenca do Douro, Braga and Elvas. The effect of some meteorological parameters such as temperature and precipitation on Olea spatial and temporal airborne pollen distribution was studied. The best correlations were found when only the pre-peak period was used, with thermal parameters (maximum temperature) showing the highest correlation with airborne pollen distribution. Independent variables, selected by regression analysis for the predictive models, with the greatest influence on the Olea main pollen season features were accumulated number of days with rain and rainfall in the previous autumn, and temperatures (average and minimum) from January through March. The models predict 59 to 99% of the total airborne pollen concentration recorded and the initial and peak concentration dates of the main Olea pollen season.
机译:为了计算总的年度油橄榄花粉浓度,主要花粉季节的开始以及花粉浓度峰值的日期,使用1998年至2004年的数据,使用多元回归分析建立了预测模型。研究了四个葡萄牙地区:Reguengos de Monsaraz,Valenca do Douro,Braga和Elvas。研究了温度和降水等气象参数对油橄榄空时花粉分布的影响。当仅使用峰前时段时,发现最佳相关性,其中热参数(最高温度)与空气中花粉分布的相关性最高。通过回归分析为预测模型选择的,对油橄榄主要花粉季节特征影响最大的自变量是前一秋季的降雨和降雨天数以及一月至三月的温度(平均和最低)。这些模型预测了记录的总空气传播花粉浓度的59%至99%,以及主要Olea花粉季节的初始浓度和峰值浓度日期。

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