摘要
为了研究阳泉市大气污染物排放特征及大气污染指数（API）与气象要素的相关性，利用2007~2011年山西省阳泉市的SO2、NO2、PM10浓度资料及地面气象观测资料，采用相关系数和逐步回归方法对其进行研究。结果表明，2007~2011年，阳泉地区首要污染物为soz和PM10，污染物及大气污染指数呈u型分布特征，区域差异大，冬春季和夏秋季有显著不同，冬春季污染浓度明显大于夏秋季，分季节利用气象要素建立的大气污染回归模型通过了显著性检验，能较好地预报污染物浓度的变化和提供空气质量的预报服务信息，研究结果对阳泉地区的污染防治及环境气象服务有重要的意义。
In order to study the character of air pollutant and the correlation between air pollution index （API） and meteorological factors, we use surface meteorological observation data of concentration of SO2, NO2, and PM10 from 2007 to 2011, by using correlation coefficient and stepwise regression method. The results show that the primary pollutant of Yangquan is SOa and PM10 from 2007 to 2011, air pollutant and API is ＂U＂-type distribution, and there is big difference in time and space. In winter and spring air pollutant and API is higher than that in summer and au- tumn. We build regression model of air pollutant by using meteorological factors, and the model is approved by signif- icant testing, change in the concentration of air pollutant and air quality can be well predicted. These results are of importance to pollution prevention and weather service of Yangquan.
出处
《成都信息工程学院学报》
2013年第1期95-103,共9页
Journal of Chengdu University of Information Technology
基金
国家科技支撑计划资助项目(2009BAC51B03)
关键词
气象学
环境监测
空气污染
污染物浓度
大气污染指数
地面气象要素
air pollution, pollution concentration
API
surface meteorological factors
pollution prevention
correlationanalysis
meteorology, environment monitoring
