摘要
利用 1 999年 1 1月 1日至 2 0 0 3年 7月 30日间 ,北京市几种主要污染物SO2 、NO2 及PM1 0 浓度逐日资料和风速、温度及降水的逐日资料 ,分别对北京市几种主要污染物浓度与同期气象要素之间的关系进行了分析。通过分析注意到 ,污染物浓度与同期气象要素之间通常存在非常明显的非线性关系 ;因而采用非线性回归方程来描述污染物浓度与气象要素之间的依赖关系 ,这一改进使污染物浓度与气象要素之间的相关性有了明显的提高 ,同时使回归方程的误差减小。
The relationships between the atmospheric concentrations of several main contaminations, such as SO_2, NO_2 and PM_ 10, and several meteorological elements, such as wind speed, temperature and precipitation were analysed. Daily data of the contamination concentrations and the meteorological elements from November, 1995 to July, 2003 were used in this study. The results show that the changes of the contamination concentrations and the meteorological elements are significantly correlated in non-linear manners. So, the non-linear regressive equations were developed to describe the relationships. This development distinctly improved the correlations and made the errors of the regressive equations decrease.
出处
《应用气象学报》
CSCD
北大核心
2005年第B03期123-127,共5页
Journal of Applied Meteorological Science
基金
国家"九五"重中之重项目"短期气候预测系统的总装与业务化试验研究"课题 (96 90 8 0 6)之"我国主要城市大气污染的气候预测方法研究"(96 90 8 0 6 0 4 0 4)子专题
国家重点基础研究发展规划"973"项目(TG1 9990 45 70 0 )资助。
