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Influence of Meteorological Parameters and Air Pollutants onto the Morbidity due to Respiratory Diseases in Castilla-La Mancha, Spain

机译:西班牙卡斯蒂利亚-拉曼恰的气象参数和空气污染物对呼吸道疾病致病率的影响

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This study considers the relationship between the risk of hospital admission due to respiratory diseases, the daily weather, and the air pollution conditions between 2000 and 2006. A synoptic climatological approach is used to investigate the links between weather types and all hospital admissions due to respiratory diseases in Castilla-La Mancha (CLM), Spain. The main circulation weather types (CWTs) were determined for winter and spring, the seasons with the highest percentage of hospital admissions, and the frequency distribution of these types was also analyzed. The study includes a summary of the main characteristics of the hospital admission series and their distribution over the study period of seven years, as well as the frequency distributions of the admissions classified by gender and age, for each season, month and day of the week. In addition, an admission index was used to compare CWTs and hospital admissions due to respiratory diseases. The results show distinctly different responses of daily respiratory disease admission rates (RD) to the eight CWTs identified in winter and in spring. In winter, three CWTs (southwesterly (SW), anticyclonic (A) and hybrid anticyclonic southwesterly (HASW)) present values 1.5 times above the average admission rates. In contrast, there are no significant differences in spring. Finally, the results of Principal Component Analysis applied to the daily series of meteorological parameters, atmospheric pollutants and morbidity data revealed that in winter the decrease in RD is related to increases in temperature and pressure. These results represent an important step in identifying reliable connections between weather-air pollutants and human health.
机译:本研究考虑了2000年至2006年之间因呼吸系统疾病引起的住院风险,每日天气和空气污染状况之间的关系。采用天气气候学方法研究天气类型与因呼吸系统引起的所有住院之间的联系西班牙卡斯蒂利亚-拉曼恰(CLM)的疾病。确定了冬季和春季(住院次数最多的季节)的主要循环天气类型(CWT),并分析了这些类型的频率分布。该研究总结了住院研究系列的主要特征及其在七年研究期内的分布,以及每个季节,每月和每周按性别和年龄分类的入院频率分布。另外,使用入院指数来比较由于呼吸系统疾病引起的CWT和医院入院。结果表明,冬季和春季确定的八个CWT的每日呼吸道疾病入院率(RD)的响应明显不同。在冬季,三个CWT(西南风(SW),反气旋(A)和混合反气旋西南风(HASW))的值比平均入学率高1.5倍。相反,春天没有显着差异。最后,将主成分分析的结果应用于每天的气象参数,大气污染物和发病率数据,结果表明,冬季RD的下降与温度和压力的上升有关。这些结果代表了确定天气空气污染物与人类健康之间可靠联系的重要一步。

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