基于GIS的甘肃省城市PM_(2.5)的时空分布特征研究
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摘要
文章基于2015～2017年3年来甘肃省国控监测站的PM_(2.5)数据,采用GIS的空间分析方法,揭示甘肃省城市PM_(2.5)的时空分布特征。结果显示:近年来甘肃省城市空气中PM_(2.5)的整体呈下降趋势,且呈现明显的季节变化特征;根据季节变化特征分析,扬尘在甘肃西部地区的PM_(2.5)数值中的贡献率较大;甘肃省冬季城市的PM_(2.5)严重超标; PM_(2.5)高浓度集聚地带主要位于兰州市附近,以兰州市为中心,表现出以兰白都市经济圈向四周减弱的趋势。
The paper reveals the temporal and spatial distribution of PM_(2.5) in the urban of Gansu province by the spatial analysis method of GIS.All the data are based on the state monitoring stations in the past three years of Gansu Province.The results showed that:The overall trend of PM_(2.5) in the urban decreased in recent years,and it showed obvious seasonal change;According to the analysis of seasonal characteristics,the contribution of dust to the PM_(2.5) is relatively large in the western of Gansu province;The concentration of PM_(2.5) was seriously exceeding the limit in the winter of Gansu province;The area with high concentration of PM_(2.5) was located near to Lanzhou,meanwhile,the concentration of PM_(2.5) showed the weakened trend around Lanzhou-Baiyin metropolitan area.
The paper reveals the temporal and spatial distribution of PM_(2.5) in the urban of Gansu province by the spatial analysis method of GIS.All the data are based on the state monitoring stations in the past three years of Gansu Province.The results showed that:The overall trend of PM_(2.5) in the urban decreased in recent years,and it showed obvious seasonal change;According to the analysis of seasonal characteristics,the contribution of dust to the PM_(2.5) is relatively large in the western of Gansu province;The concentration of PM_(2.5) was seriously exceeding the limit in the winter of Gansu province;The area with high concentration of PM_(2.5) was located near to Lanzhou,meanwhile,the concentration of PM_(2.5) showed the weakened trend around Lanzhou-Baiyin metropolitan area.
引文
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[2]王振波,方创琳,许光,等.2014年中国城市PM2.5浓度的时空变化规律[J].地理学报,2015,70(11):1720-1734.
[3]赵敬国,王式功,张天宇,等.兰州市大气重污染气象成因分析[J].环境科学学报,2015,35(5):1547-1555.
[4]谢远扬,王森.泰森多边形在分析西安市PM2.5污染状况中的应用[J].环境科学与技术,2017,40(7):22-27.
[5]卢月明,王亮,仇阿根,等.局部加权线性回归模型的PM2.5空间插值方法[J].测绘科学,2018(11):1-9.
[6]李杰,翟亮,桑会勇,等.PM2.5浓度插值中不同空间插值方法对比[J].测绘科学,2016,41(4):50-54+101.
[7]陈迪,张永文,铁学熙.我国PM2.5空间关联性的探讨[J].中国科学:物理学力学天文学,2017,47(2):51-58.