河南农业大学学报2019，Vol.53Issue(2)：289-299,11.
厦门市大气能见度变化规律及影响因子分析
Atmospheric visibility trends and analysis of the influencing factors over Xiamen city
摘要
Abstract
Taking Xiamen as the subject,based on the monitoring data during 2014—2016,the atmospheric visibility trends were analysed and the impacts of air pollutants (PM10,PM2. 5,SO2,NO2, CO and O3) and meteorological factors (wind speed ,temperature ,dew point temperature ,minimum cloud height ,sea level pressure ,relative humidity ,and relative humidity) on atmospheric visibility were studied. The results show that the annual average atmospheric visibility is 8. 97 km over Xiamen. The annual highest value occurs in summer,and the lowest in spring. The daily highest value occurs at noon and the lowest at midnight. The atmospheric visibility is negatively correlated with the concentration of air pollutant except O3,and positively correlated with T,WS and CCH,but negatively with RH,DPT and SLP. Through the K-means clustering analysis,we obtained 7 classes of the typical weather in Xiamen including the data of average value about atmospheric visibility, related meteorological indexes and the concentration of other pollutants. The regression model (βext = 0. 007 PM2. 5 + 0. 143,R2 = 0. 500; βext = 0. 005PM10 + 0. 119,R2 = 0. 393; βext = 0. 011SO2 + 0. 249,R2 = 0. 168; βext = 0. 007NO2 + 0. 155,R2 = 0. 313) was constructed by using the extinction coefficient (βext) and the concentration of air pollutants,which could represent the relationship between βext and the concentrations of pollutants.关键词
大气能见度/大气污染物/气象因子/K均值聚类Key words
atmosphere visibility/air pollution/meteorological factors/K-mean cluster分类
资源环境引用本文复制引用
李玮,陈梓茹,傅伟聪,朱志鹏,董建文..厦门市大气能见度变化规律及影响因子分析[J].河南农业大学学报,2019,53(2):289-299,11.基金项目
国家林业公益性行业科研专项(201404301) （201404301）
国家林业公益性行业科研专项(201404315) （201404315）
