多元排序法解析城市空气微生物时空分布

发布时间：2018-11-17 12:59

【摘要】：采用自然沉降法测定2012年3月—2013年2月天津滨海地区城市不同功能区的空气微生物浓度。结果显示,该地区空气微生物中细菌占76.5%,真菌占19.4%,放线菌占4.1%;对空气微生物浓度变化进行多元排序分析,结果表明,依据城市功能区的不同,空气微生物在空间上具有明显聚类(5类),46.0%的微生物变异可以被前2轴解释,其中建筑工业区微生物浓度最高,居住区微生物浓度最低;在时间上表现为季节性聚类(3类),78.7%的微生物变异可以被前2轴解释,夏天微生物浓度最高,而冬天最低,空气微生物与温度具有显著的正相关性(P0.01);空气微生物在时间尺度上的变化要高于空间尺度上的变化,季节气温的影响要大于采样区功能作用的影响;空气中PM10与SO2显著正相关(P=0.011),表明天津滨海地区的烟雾属于二氧化硫型。
[Abstract]:From March 2012 to February 2013, the concentration of microorganism in air in different functional areas of Tianjin Binhai area was determined by natural sedimentation method. The results showed that there were 76. 5% bacteria, 19. 4% fungi and 4. 1% actinomycetes in the air microorganism in this area. The results of multivariate sequencing analysis on the variation of microorganism concentration in air showed that according to the urban functional area, there were obvious clusters (5 classes) of airborne microorganism in space, and 46.0% of the variation could be explained by the first two axes. The concentration of microorganism is the highest in the building industrial area and the lowest in the residential area. In time, 78.7% of microbial variation can be explained by the first two axes. The concentration of microorganism in summer is the highest, but the lowest in winter, and there is a significant positive correlation between air microorganism and temperature (P0.01). The variation of air microorganism in time scale is higher than that in space scale, and the influence of seasonal temperature is greater than that of the function of sampling area. There was a significant positive correlation between PM10 and SO2 in air (P0. 011), indicating that the smoke in Tianjin coastal area belonged to sulfur dioxide type.
【作者单位】：南开大学滨海学院环境科学与工程系;天津市地质矿产测试中心;南开大学环境科学与工程学院;Department
【基金】：天津市社会发展科技计划项目(06YFSYSF02900)资助
【分类号】：R122

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