摘要
根据新疆环境质量发布平台提供的数据,对乌鲁木齐市2014-2016年3年间7个监测点的PM_(2.5)(粒径小于等于2.5μm)日均质量浓度监测数据进行时空特征分析,其中,空间上运用IDW反距离权重插值法,分别对全年、采暖期和非采暖期数据进行整理分析。运用灰色关联模型对空气质量6参数(PM_(2.5)、SO_2、NO_2、CO、O_3、PM_(10)六项因子)进行计算,结果表明全年、采暖期、非采暖期对PM_(2.5)影响最大的因素都是CO。
According to the data provided by Xinjiang environmental quality publishing platform,the temporal and spatial characteristics are analyzed for average daily mass concentration monitoring data of PM2.5(particle size less than or equal to 2.5μm)at 7 monitoring points in Urumqi from 2014 to 2016,in which IDW inverse distance weighted interpolation method is used to analyze the data in the whole year,the heating period and the non-heating period respectively.The grey relational model is used to calculate the 6 air quality parameters(PM2.5,SO2,NO2,CO,O3,PM 10),and the results show that CO has the greatest effect on PM2.5 in the whole year,the heating period and the non-heating period.
作者
王鸥
何秉宇
WANG Ou;HE Bing-yu(College of Resource and Environment Sciences,Xinjiang University,Urumqi,Xinjiang 830046;Key Laboratory of Smart City and Environment Modeling,Xinjiang University,Urumqi,Xinjiang 830046,China)
出处
《新疆环境保护》
2018年第1期6-11,共6页
Environmental Protection of Xinjiang
