摘要
为了研究长春市PM10污染特征以及影响PM10浓度的因素,利用长春市PM10的实时监测资料,分析长春市PM10浓度的季节变化特征和污染程度.并利用同期的气象资料,建立PM10浓度和气象因素之间的多元线性回归模型,来进行两者之间的相关分析.采用逐步回归法,建立了"最优"回归方程,分析不同季节对污染物浓度有显著影响的气象因素,从而为长春市大气污染防治和雾霾天气预测提供科学依据.结果表明,长春市PM10浓度冬季偏高、夏季偏低、春季和秋季居中,2013年全年中1、4、10月份出现了不同程度的高污染现象,日平均浓度最高值达到591μg/m3.研究发现对长春市PM10有显著影响的气象因素主要有当日平均风速和最高最低气温温差.
Based on the real-time data of environment monitoring and meteorological factors in Changchun, seasonal vari- ation characteristics and pollution degree of PM10 was analyzed and the multivariate linear regression model was established between PM10 concentration and meteorological factors. Stepwise regression was used to analyze the significant meteorological factors in different seasons. These results can provide the scientific basis for prevention of air pollution and the forecast on the hazy weather. The results showed that PM10 concentration of Changchun City was a bit high in winter while was lower in summer than other three seasons. High pollution phenomenon in different degrees occurred in January, April, October,2013. The daily average concentration reached the highest value of 591 μg/m3. The study found that the meteorological factors which have significant influence On PM10 concentration in Changchun City were the average wind speed and maximum and minimum air temperature difference.
出处
《河南师范大学学报(自然科学版)》
CAS
北大核心
2014年第5期105-109,共5页
Journal of Henan Normal University(Natural Science Edition)
基金
吉林省科技厅重大科技攻关专项(20130204051SF)
吉林省环保厅重点项目(2013-17)