摘要
目的探讨气象因素对大气污染的影响。方法收集2005年4月1日—6月30日西安市气象因素(日最高、最低气温、日平均气压、日平均相对湿度)和大气污染物浓度(SO2、NO2及PM10)资料,绘制资料中各要素的时间趋势图,研究气象因素以及大气污染物随时间变化的趋势;对大气污染物浓度与气象因素进行多重线性回归分析和相关分析。结果该时间段气温呈上升趋势,日均相对湿度也呈一定上升趋势,日均气压逐渐下降;空气污染物浓度呈一定下降趋势但并不明显。各气象因素和大气污染物之间呈现一定统计学相关(P<0.05),各气象因素对大气污染物浓度影响的回归方程为lnSO2=-3.352+0.019×最高气温-0.026×最低气温,lnNO2=-3.448-0.003×日均湿度+0.012×最高气温-0.015×最低气温,lnPM10=-2.197+0.011×最高气温-0.021×最低气温。结论气象因素的变化对大气污染状况具有一定的影响。
Objective To explore the effect of the meteorologic factors on air pollution in the summer in Xian, China. Methods The data of SO2,NO2 and PM10 concentrations in the air and the related meteorologic factors [maximum temperature (tmax), minimum temperature (tmax), average air pressure (P) and relative humidity (H)) from April 1st to June 30th in 2005 were collected. The correlation between the air pollutant level and related meteorologic factors was analyzed by the elements time diagram and multiple regression models with SPSS 11.0 software. Results A significant correlations between the meteorological elements and air pollutants was seen, the regression models for air pollutants were as follows, InSO2=-3.352+0.019 tmax-0.026 tmain, InNO2=-3.448-0.003H+0.012 tmax-0.015 tmin, and InPM10=-2.197+0.011 tmax-0.021 tmin. Conclusion The meteorologic factors have some effects on the air pollution levels and then impact human health in some degree.
出处
《环境与健康杂志》
CAS
CSCD
北大核心
2007年第2期98-100,共3页
Journal of Environment and Health
关键词
空气污染
气象因素
回归分析
Air pollution
Meteorological factor
Regression analysis