Yang Wei, Zhao Wen-Ji, Gong Zhao-Ning, Zhao Wen-Hui, Tang Tao
Key Laboratory of 3D Information Acquisition and Application of Ministry of Education, Capital Normal University, Beijing 100048, China.
Huan Jing Ke Xue. 2013 Jan;34(1):237-43.
Inhalable particulate has become the premier pollutant of Beijing, which has enormous influence on the environmental quality of the city and health of the residents. Inhalable particle pollutants (particulate matter of 0.3, 0.5, 3.0 and 5.0 microm) during the heating period and the non-heating period in 2008 and 2009 were collected, and spatial analysis was used to study the spatial distribution of each pollutant. Meanwhile, the hospital data about respiratory disease during the same time was gathered and counted. Then the relativity between inhalable particulate pollutants and respiratory disease was studied by grey correlation analysis on the base of regression analysis. The results showed that spatial distribution of fine particle was diverse but the pattern of coarse particle was similar. There was certain association between respiratory disease and inhalable particle pollutants. Heating period was the highest incidence period of respiratory disease. The prevalence of respiratory disease was higher in heating period than non-heating period. The concentration of fine particle was higher than that of coarse particle both in heating and non-heating periods, and fine particle had more effects on the respiratory system disease than coarse particle.
可吸入颗粒物已成为北京的首要污染物，对城市环境质量和居民健康产生了巨大影响。采集了2008年和2009年供暖期和非供暖期的可吸入颗粒物污染物（粒径为0.3、0.5、3.0和5.0微米的颗粒物），并采用空间分析方法研究了各污染物的空间分布。同时，收集并统计了同一时期的呼吸系统疾病医院数据。然后在回归分析的基础上，通过灰色关联分析研究了可吸入颗粒物污染物与呼吸系统疾病之间的相关性。结果表明，细颗粒物的空间分布多样，而粗颗粒物的分布模式相似。呼吸系统疾病与可吸入颗粒物污染物之间存在一定关联。供暖期是呼吸系统疾病的高发期。呼吸系统疾病的患病率在供暖期高于非供暖期。供暖期和非供暖期细颗粒物的浓度均高于粗颗粒物，且细颗粒物对呼吸系统疾病的影响大于粗颗粒物。
