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首页> 外文期刊>International Journal of Biometeorology: Journal of the International Society of Biometeorology >Comparative long-term trend analysis of daily weather conditions with daily pollen concentrations in Brussels, Belgium
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Comparative long-term trend analysis of daily weather conditions with daily pollen concentrations in Brussels, Belgium

机译:比较布鲁塞尔日常花粉浓度日常天气条件的比较长期趋势分析

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摘要

A clear rise in seasonal and annual temperatures, a gradual increase of total radiation, and a relative trend of change in seasonal precipitation have been observed for the last four decades in Brussels (Belgium). These local modifications may have a direct and indirect public health impact by altering the timing and intensity of allergenic pollen seasons. In this study, we assessed the statistical correlations (Spearman's test) between pollen concentration and meteorological conditions by using long-term daily datasets of 11 pollen types (8 trees and 3 herbaceous plants) and 10 meteorological parameters observed in Brussels between 1982 and 2015. Furthermore, we analyzed the rate of change in the annual cycle of the same selected pollen types by the Mann-Kendall test. We revealed an overall trend of increase in daily airborne tree pollen (except for the European beech tree) and an overall trend of decrease in daily airborne pollen from herbaceous plants (except for Urticaceae). These results revealed an earlier onset of the flowering period for birch, oak, ash, plane, grasses, and Urticaceae. Finally, the rates of change in pollen annual cycles were shown to be associated with the rates of change in the annual cycles of several meteorological parameters such as temperature, radiation, humidity, and rainfall.
机译:在布鲁塞尔(比利时)的最后四十年中,季节性和年度温度逐渐增加,逐渐增加,逐渐增加,以及季节降水的相对趋势。通过改变过敏花粉季节的时序和强度,这些本地修改可能具有直接和间接的公共卫生影响。在这项研究中,我们通过使用11种花粉类型(8棵树和3种草本植物)的长期每日数据集来评估花粉浓度和气象状况之间的统计相关性(Spearman的测试)和在1982年至2015年间布鲁塞尔观察到的10个气象参数。此外,我们通过Mann-Kendall测试分析了相同选定花粉类型的年周期的变化率。我们揭示了日常空中树木花粉(欧洲山毛榉树除外)的总体趋势,以及来自草本植物的日常空气造成的整体趋势(尿酸草外除外)。这些结果表明,桦木,橡木,灰,飞机,草和荨麻疹的开花时期早期发作。最后,花粉年度周期的变化率被证明与几种气象参数的年度周期的变化率相关,如温度,辐射,湿度和降雨。

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