Influences of meteorological parameters and biological and chemical air pollutants on the incidence of asthma and rhinitis
Influences of meteorological parameters and biological and chemical air pollutants on the incidence of asthma and rhinitis
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DOI：
10.3354/cr00752
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发表时间：
2008-08-07
期刊：
影响因子：
1.1
通讯作者：
Hirsch, Tamas
中科院分区：
文献类型：
--
作者：
Makra, Laszlo;Tombacz, Szintia;Hirsch, Tamas
我们研究了（1）夏季至初秋期间喀尔巴阡盆地的特征天气类型之间的关系（7月15日至10月15日）和冬季月份（2）化学物质的水平（3）大气污染物（CO、NO、N-2、NO2/NO、O-3、O-3 max、SO2、PM_（10））和生物（花粉）污染物对呼吸系统疾病的影响。该数据库包括匈牙利塞格德1999年至2003年期间13个气象参数、8种化学污染物和8种生物污染物以及患者人数的每日数值。共考虑了9个呼吸道疾病症状组及其发生情况。在夏季至初秋期间，共有26703名患者，而在冬季，共有14507名患者，登记呼吸系统疾病被认为是。利用因子分析和聚类分析方法，对特征天气类型进行了客观界定。在冬季，8种定义的天气类型与患者数量之间没有关系。另一方面，在夏季至初秋期间，天气类型7，具有弱的反气旋脊特征和最高的患者人数，与高温参数（T均值，T最大值，T最小值），低相对湿度，以及高化学和生物污染物水平有关。与此同时，第2类（反气旋脊特征）与最低的患者人数有关，其特点是高温和中等相对湿度参数，以及高水平的化学和低水平的生物空气污染物。气象参数和化学空气污染物之间的关系以及天气类型的结果将被纳入一个模型，以预测呼吸道疾病严重风险的天数，并以这种方式为这些天数做好准备。
We studied the relationship among (1) the characteristic weather types found in the Carpathian Basin in the summer to early autumn period (July 15 to October 15) and in the winter months (December, January and February), (2) the levels of chemical (CO, NO, N-2, NO2/NO, O-3, O-3max, SO2 PM10) and biological (pollen) air pollutants, and (3) their effect on respiratory diseases. The database comprises daily values of 13 meteorological parameters, 8 chemical and 8 biological pollutants, and the number of patients for the period from 1999 to 2003, in Szeged, Hungary. Altogether, 9 symptom groups of respiratory diseases and their occurrences were taken into account. In the summer to early autumn period a total of 26703 patients, while in the winter months a total of 14 507 patients, registered with respiratory diseases were considered. An objective definition of the characteristic weather types was carried out by using factor and Cluster analysis. In the winter months, there was no relationship between the 8 defined weather types and patient numbers. On the other hand, in the summer to early autumn period, Weather Type 7, with a weak anticyclonic ridge character and the highest patient numbers, was linked to high temperature parameters (T-mean, T-max, T-min), low relative humidity, as well as high chemical and biological pollutant levels. At the same time, Type 2 (anticyclonic ridge character) was associated with the lowest patient numbers and was characterized by high temperature and medium relative humidity parameters, as well as high levels of chemical and low levels of biological air pollutants. Results on the relationships of the meteorological parameters and chemical air pollutants, as well as weather types, will be built into a model to predict, and in this way to prepare for, days of severe risk of respiratory illness.