摘要
以汉中市中心城区2016年至2018年大气颗粒物PM2.5监测数据为基础,利用数理统计和空间插值方法,分别从时间和空间的角度研究了该地区PM2.5的分布变化特征,并分析了其影响因素.研究结果表明,PM2.5的月均值浓度呈"单峰单谷"型,极大值和极小值分别出现在1月和7月,分别为100.8μg·m-3和22.6μg·m^3.PM2.5的浓度随季节变化的特征较为明显:冬季>春季>秋季>夏季.从空间分布来看,总体上呈南高北低的分布特征,其中高浓度主要集中在西南部,并向东南一带递减延伸.
Based on the monitoring data of the concentration of atmospheric particulates named PM2.5 in the main urban area of Hanzhong from 2016 to 2018,using the methods of mathematical statistics and spatial interpolation,the temporal and spatial variation characteristics and influencing factors have been analyzed deeply in that urban areas through the time and spatial scale.The research results show that the monthly trend of the concentration of PM2.5 is"Single peak valley".The maximum value is 100.8μg·m-3and the minimal value is 22.6μg·m^3appearing in January and July respectively.The seasonal change of the concentration of PM2.5 is winter"spring"autumn?summer.The concentration spatial distribution of PM2.5 is high in the south and low in north as a whole.The high value area is mainly concentrated in the southwest of the area,extending to the southeast of the main urban area of Hanzhong gradually diminishing.
作者
刘杰
李鹏飞
LIU Jie;LI Peng fei(School of Mathematics and Computer Science,Shaanxi Sci-Tech University,Hanzhong 723000,China;Shaanxi Province Hanzhong Central Station of Environment Monitoring,Hanzhong 723000,China)
出处
《数学的实践与认识》
北大核心
2020年第13期258-263,共6页
Mathematics in Practice and Theory
基金
汉中市汉台区自然生态环境保护专项(2018kx-21)。
关键词
汉中市中心城区
PM2.5
数理统计
空间插值
时空变化特征
影响因素
main urban area of Hanzhong
PM2.5
Mathematical statistics
Spatial interpolation
the temporal and spatial variation characteristics
influence factor