摘要
以克拉玛依市4个区2012年的大气自动监测数据为样本,基于分形求和模型,分析大气污染物的分布特征,利用分维数确定污染物浓度分布的随机程度,计算SO2、NO2、PM10的大气环境背景值与标准值,确定适合于评价区域的ORAQI指数计算公式,并与API指数作对比。ORAQI指数计算结果显示,克拉玛依市全年环境空气质量基本呈现"U"字形变化,春夏季大气质量好于秋冬季,全年空气质量有明显的季节变化,4个区中克拉玛依区空气质量相对较差,乌尔禾区空气质量最好。相对于API指数的均匀分布结果,ORAQI指数具有更好的次要污染物体现能力,可以综合体现所评价的各项污染因子的贡献。
Take the atmospheric monitoring data of four districts in Karamay in 2012 as the samples.Analy-sis for the distribution of atmospheric pollutant based on fractal summation model was done.The fractal dimension was used to confirm the level of the random distribution of the air pollutants,subsequently to figure out the at-mospheric background value and the standard of SO2 ,NO2 and PM10 .ORAQI formula were ascertained to evalu-ate the air quality of Karamay,which was taken to contrast with the API index.The ORAQI results showed that Karamay air quality appeared as a ＆quot;U＆quot;shape in all year.The air quality changes with the alternating seasons ap-parently,it＇s better in summer and spring than that of winter and autumn.In four districts,the air quality of kara-may is worse,that of Wuerhe is the best.The API curve changes gently,while the ORAQI model is better to show the minor pollutants and can comprehensive reflect the contributes of the contamination factors.
出处
《环境监测管理与技术》
2014年第1期26-31,共6页
The Administration and Technique of Environmental Monitoring
