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首页> 外文期刊>International Journal of Biometeorology: Journal of the International Society of Biometeorology >Predicting days of high allergenic risk during Betula pollination usingweather types
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Predicting days of high allergenic risk during Betula pollination usingweather types

机译:使用天气类型预测桦木授粉期间高致敏风险的天数

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The aim of this study was to build up a picture of the influence of meteorological conditions on pollen and pollinosis, taking account of weather types., pollen concentrations in the air and pollinosis symptoms. with the aim of preventing allergic responses. The study took place in Burgundy from 1996 to 1998, during the pollination of the birch (Betula), which is the most important arborean allergen in this region. We used daily pollen data from four Hirst volumetric traps, identified weather types by Benichou's classification, and obtained data on the occurrence of rhinitis, conjunctivitis, asthma and coughing from a sample of 100 patients. These data were analysed by multiple-component analysis. The results show that pollen dispersal is favoured by windy conditions, low relative humidity, precipitation below 2 mm and temperatures above 6 degreesC. Such weather also favours pollinosis. but other particular meteorological situations. even if they do not assist pollen dispersal, can act directly on the development of symptoms: a decrease of temperature (3 degreesC) led to the development of rhinitis and conjunctivitis, while strong winds were associated with many cases of conjunctivitis and asthma, owing to the irritant effect of cold or wind: asthma was favoured by temperature inversions with fog, probably because such weather corresponds to high levels of pollution, which act on bronchial hyperreactivity. Because the weather types favouring pollination and pollinosis are predicted by the meteorological office, this can constitute a tool for reducing the effect of high-risk allergenic days.
机译:这项研究的目的是在考虑天气类型,空气中的花粉浓度和花粉症症状的情况下,建立一张气象状况对花粉和花粉症影响的图片。目的是防止过敏反应。该研究于1996年至1998年在勃艮第进行,当时桦树(桦木)是该地区最重要的树木过敏原的授粉过程。我们使用来自四个Hirst容积陷阱的每日花粉数据,通过Benichou的分类识别天气类型,并从100名患者的样本中获得了有关鼻炎,结膜炎,哮喘和咳嗽发生的数据。这些数据通过多成分分析进行了分析。结果表明,大风条件,低相对湿度,2 mm以下的降水和6℃以上的温度有利于花粉的分散。这种天气也有利于花粉病。但其他特殊的气象情况。即使它们不助于花粉扩散,也可以直接作用于症状的发展:体温降低(3摄氏度)导致鼻炎和结膜炎的发展,而强风与结膜炎和哮喘的许多病例有关,原因是寒冷或风的刺激性影响:哮喘由于雾气的温度反转而受到青睐,这可能是因为这种天气对应于高水平的污染,这会影响支气管高反应性。因为气象部门预测了有利于授粉和授粉的天气类型,所以这可以构成减少高风险变应原天数影响的工具。

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