摘要
基于乌鲁木齐市大气污染物数据,对乌鲁木齐市2016年空气质量变化做趋势分析。利用乌鲁木齐市2016年同期气象要素,通过相关分析和主成分分析方法探讨了气象要素对PM_(2.5)浓度的影响。结果表明:1)PM_(2.5)、PM_(10)、SO_2、NO_2、CO的浓度全年变化趋势与空气质量指数(AQI)的变化趋势基本一致,O_3的浓度变化趋势与AQI变化趋势完全相反;2)PM_(2.5)浓度与CO、气压和相对湿度呈显著正相关,降水量、风速、气温和水气压与PM_(2.5)浓度呈显著负相关。
In this paper,the tendency of air quality variation in Urumql in 2016was analyzed based on atmospheric pollutant data in Urumqi.Influences of meteorological elements on PM2.5 concentration were analyzed using Pearson correlation analysis and principal component analysis based on the meteorological elements in Urumqi in 2016.The results show that:1)the concentration levels of PM2.5,PM10,SO2,NO2,CO were keeping the basically same variation tendency with Air Quality Index (AQI),while the variation tendency of O3concentration was completely opposite to the variation tendency of AQI; 2)significantly positive correlations were found between PM2.5 and CO,atmospheric pressure and relative humidity,and precipitation,wind speed,air temperature,and water pressure were significantly negatively correlated with PM2.5 eoneentration.
作者
盛永财
玉米提.哈力克
阿不都拉.阿不力孜
SHENG Yong-cai;UMUT Halik;ABDULLA Abliz(College of Resources and Environmental Sciences,Xinjiang University,Urumqi 830046,China;College of Tourism,Xinjiang University,Urumqi 830046,China)
出处
《环境工程》
CAS
CSCD
北大核心
2018年第11期64-69,共6页
Environmental Engineering
基金
国家自然科学基金项目:绿洲城市园林及其配置结构对大气颗粒物的调控机制研究(31770750)
国家留学基金委创新型人才国际合作培养项目(留金美[2017]7751号)
关键词
气象因素
PM2.5浓度
相关分析
主成分分析
乌鲁木齐市
meteorological factors
PM2.5concentration
correlation analysis
principal component analysis
Urumqi
