摘要
通过对分布在福州市城区五个空气质量监测点2018年全年的空气污染物浓度日均值数据分析处理,对福州市空气质量时空特征进行研究。运用数理统计分析、GIS空间插值分析等技术,对监测点数据进行时间、空间分析,获取空气质量时空特征。结果表明:福州市空气质量的季节性特征较明显,冬季空气质量最好,春季空气质量最差;福州市空气质量总体情况较好,影响福州市空气质量的主要污染物是臭氧(O3)和颗粒物(PM10)。
Based on the analysis and processing of the annual average air pollutant concentration data of five air quality monitoring points in Fuzhou City in 2018,the temporal and spatial characteristics of air quality in Fuzhou were studied.By using mathematical statistics analysis,GIS spatial interpolation analysis and other technologies,the monitoring point data are analyzed in time and space to obtain the spatial and temporal characteristics of air quality.The results show that the seasonal characteristics of air quality in Fuzhou are obvious,the air quality in winter is the best,and the air quality in spring is the worst;the overall situation of air quality in Fuzhou is good,and the main pollutants affecting air quality in Fuzhou are ozone(O3)and particulate matter(PM10).
作者
郑登标
ZHENG Dengbiao(Fuzhou Land and Resources Surveying and Mapping Team,Fuzhou Fujian 350005,China)
出处
《北京测绘》
2020年第7期939-943,共5页
Beijing Surveying and Mapping
