福州市大气污染空间分布特征分析
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摘要
利用2015年福州主城区6个大气国控点的6种主要大气污染物逐时监测数据、气象数据及空间基础数据等,通过增设站点后进行空间插值的方法分析大气污染物浓度的空间分布特征。结果表明:福州市大气中PM_(2.5)、PM_(10)最高值分别为35.57μg/m~3和62.35μg/m~3,高浓度区域集中在主城区中心和近郊区,其中台江区污染程度相对较高;O_3最高值为94.85μg/m~3,较高浓度主要集中在晋安区内海拔较高的森林地区;CO、SO_2和NO_2最高浓度低于一级标准浓度限值,高浓度区域分布在主城区中心。
Based on the monitoring data of 6 pollutants from 6 national sampling sites, the meteorological data and basic spatial data in the main urban area of Fuzhou in 2015, the spatial distribution characteristics of the pollutants were analyzed by using spatial interpolation method after adding more sites. Results showed that the maximum of PM_(2.5) and PM_(10 ) were 35.57 μg/m~3 and 62.35 μg/m~(3 ), respectively. The areas of high concentration were in the central city and the suburbs. The pollution in Taijiang district was relatively serious. The maximum of O_3was 94.85 μg/m~3, and the high concentration area was mainly in high altitude forest in Jinan district. The highest concentrations of CO, SO_2 and NO_2 were all below the corresponding standard limits of first grade, and the high concentration area was in central city.
Based on the monitoring data of 6 pollutants from 6 national sampling sites, the meteorological data and basic spatial data in the main urban area of Fuzhou in 2015, the spatial distribution characteristics of the pollutants were analyzed by using spatial interpolation method after adding more sites. Results showed that the maximum of PM_(2.5) and PM_(10 ) were 35.57 μg/m~3 and 62.35 μg/m~(3 ), respectively. The areas of high concentration were in the central city and the suburbs. The pollution in Taijiang district was relatively serious. The maximum of O_3was 94.85 μg/m~3, and the high concentration area was mainly in high altitude forest in Jinan district. The highest concentrations of CO, SO_2 and NO_2 were all below the corresponding standard limits of first grade, and the high concentration area was in central city.
引文
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[3]黄巍,龙恩深.成都PM2.5与气象条件的关系及城市空间形态的影响[J].中国环境监测,2014,30(4):93-99.
[4]李国翠,王建国,连志鸾.石家庄大气污染与沙尘天气的关系分析[J].气象与环境学报,2007,23(2):1-5.
[5]杨叶,郑刘根,程桦.淮南市大气颗粒物污染特征研究[J].环境监测管理与技术,2017,29(1):16-20.
[6]KANG C M,ACHILLEOS S,LAWRENCE J,et al.Interlab comparison of elemental analysis for low ambient urban PM2.5levels[J].Environmental Science and Technology,2014,48(20):12150-12156.
[7]KEUKEN M P,MOERMAN M,VOOGT M,et al.Source contributions to PM2.5and PM10at an urban background and a street location[J].Atmospheric Environment,2013,71(2):26-35.
[8]隋平,冯宏芳,王宏,等.海西城市群灰霾天气特征及其影响因子分析[J].环境科学与技术,2013,36(7):53-57.
[9]冯宏芳,隋平,邱丽葭.福州市污染物浓度时空分布及影响因子分析[J].气象科技,2003,31(6):356-360.
[10]姜迪,李聪.南京市区PM2.5扩散与气象条件的关系[J].环境监测管理与技术,2016,28(1):36-40
[11]赵晨曦,王云琦,王玉杰,等.北京地区冬春PM2.5和PM10污染水平时空分布及其与气象条件的关系[J].环境科学,2014,35(2):418-427.
[12]MATEJICEK L,ENGST P,JANˇOUR Z.A GIS-based approach to spatio-temporal analysis of environmental pollution in urban areas:a case study of Prague’s environment extended by LIDAR data[J].Ecological Modelling,2006,199(3):261-277.
[13]孟健,马小明.Kriging空间分析法及其在城市大气污染中的应用[J].数学的实践与认识,2002,32(2):309-312.
[14]李淑婷.成都市大气环境污染时空特征分析及质量评价[D].成都:电子科技大学,2012.
[15]RODRGUEZ M C,DUPONT-COURTADE L,OUESLATI W.Air pollution and urban structure linkages:evidence from European cities[J].Renewable and Sustainable Energy Reviews,2016,53:1-9.
[16]WANG G L,XUE J J,ZHANG J Z,et al.Analysis of spatial-temporal distribution characteristics and main cause of air pollution in Beijing-Tianjin-Hebei region in 2014[J].Meteorological and Environmental Sciences,2016(1):34-42.
[17]张健.南京市大气环境污染点源数据的空间插值方法[D].南京:南京信息工程大学,2009.
[18]卢毅敏,岳天祥,陈传法,等.中国区域年降水空间分布高精度曲面建模[J].自然资源学报,2010,25(7):1194-1205.