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基于地面监测数据的潍坊市O3时空特征研究
引用本文:杨丽娜,马照亭,朱立宁,刘晓.基于地面监测数据的潍坊市O3时空特征研究[J].测绘与空间地理信息,2020(1):54-56,60.
作者姓名:杨丽娜  马照亭  朱立宁  刘晓
作者单位:辽宁工程技术大学测绘与地理科学学院;中国测绘科学研究院地图学与地理信息系统研究所;山东农业大学信息科学与工程学院
基金项目:国家自然科学基金项目(41871375)资助
摘    要:采用2008—2016年潍坊市38个监测站点O3的监测数据,按照时刻、日、月、季度等不同时间尺度,运用统计方法得出潍坊市O3污染时空特征,并对其成因进行分析,得出了以下结论:1)在9年时间里,O3污染在2009年以后逐渐呈下降趋势,2014年出现轻微波动;2)O3具有明显的季节变化特征,夏季浓度较高,每年5—8月为污染高峰月,高达139.08μg/m3,秋季次之,其次是冬季、春季;3)潍坊市O3污染“周末效应”显著,星期六和星期日O3浓度达到较高水平,星期四、星期五浓度相对较低;4)在一天中,午后浓度达到高峰,凌晨及夜间O3浓度较低。

关 键 词:空气质量  O3污染  时空特征  潍坊市

Spatio-temporal Characteristics of O3 Pollution in Weifang Based on Ground Monitoring Data
YANG Lina,MA Zhaoting,ZHU Lining,LIU Xiao.Spatio-temporal Characteristics of O3 Pollution in Weifang Based on Ground Monitoring Data[J].Geomatics & Spatial Information Technology,2020(1):54-56,60.
Authors:YANG Lina  MA Zhaoting  ZHU Lining  LIU Xiao
Institution:(School of Geomatics,Liaoning Technical University,Fuxin 123000,China;Institute of Cartography andGeographic Information System,Chinese Academy of Surveying and Mapping,Beijing 100039,China;College of Information Science and Engineering,Shandong Agricultural University,Tai′an 271018,China)
Abstract:An O3 pollution analysis with statistics method was be provided in this paper.Through the causes analyzed by using O3 monitoring data of 38 monitoring station in Weifang from 2008 to 2016,which the data was sorted out according to different time series by hour,week,month and year,some conclusions will be showed:(1)In 9 years,O3 pollution gradually decreased after 2009 and showed slight fluctuations in 2014;(2)The pollution of O3 in Weifang showed obvious seasonal change and mainly concentrated in May to August,reaching up to 139.08μg/m3.The summer was high,followed by autumn,winter and spring;(3)The"weekend effect"of O3 pollution in Weifang was significant,and the concentration of O3reached the highest on Saturday and Sunday,and was lower on Thursday and Friday;(4)During the day,the concentration of O3 reached its peak in the afternoon,and was low in the early morning and night.
Keywords:air quality  O3 pollution  spatial-temporal variations  Weifang
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