2016-2018年中国PM_(2.5)时空分布特征分析  

Analysis of PM_(2.5)Spatiotemporal Distribution Characteristics in China from 2016 to 2018

作　　者：周志浩 潘梦清 谢劭峰 ZHOU Zhihao;PAN Mengqing;XIE Shaofeng(Land Reorganization and Reserve Center of Luohu District,Shenzhen City,Shenzhen 518023,China;Guilin Institute of Surveying and Mapping,Guilin 541100,China;College of Geomatics and Geoinformation,Guilin University of Technology,Guilin 541006,China)

机构地区：[1]深圳市罗湖区土地整备中心,广东深圳518023 [2]桂林市测绘研究院,广西桂林541100 [3]桂林理工大学测绘地理信息学院,广西桂林541006

出　　处：《测绘与空间地理信息》2022年第12期26-29,共4页Geomatics & Spatial Information Technology

基　　金：国家自然科学基金项目(41864002)资助。

摘　　要：采用地统计分析、聚类和异常值分析方法,对2016—2018年全国367个城市的PM_(2.5)浓度监测数据进行分析。结果表明:全国及重点区域的PM_(2.5)浓度月际变化趋势具有一致性和周期性,呈“U”形分布;PM_(2.5)浓度存在明显的季节变化特征,2016—2018年我国的PM_(2.5)浓度年均值逐年递减。从整体空间分布来看,我国PM_(2.5)浓度在东西、南北2个方向上的变化情况不同,东西方向的差异比南北方向更大,表现出了各向异性。我国PM_(2.5)高-高聚类模式主要集中在北京、天津、河南、河北、山西、山东西部、安徽北部,低-低聚类模式主要分布在云南、福建、广东沿海地区。PM_(2.5)concentration monitoring data of 367 cities in China from 2016 to 2018 were analyzed by using geostatistical analysis,clustering and outlier analysis methods.The results show that the monthly change trends of PM_(2.5)concentration in the country and its key regional are consistent and periodic,showing"U"distribution.The PM_(2.5)concentration has obvious seasonal variation characteristics,and the annual mean value of PM_(2.5)concentration in China decrease year by year from 2016 to 2018.From the overall spatial distribution,the variation of PM_(2.5)concentration in our country in east-west and north-south directions is different,and the difference in east-west direction is greater than that of north-south direction,showing anisotropy.The high-high clustering patterns of PM_(2.5)are mainly concentrated in Beijing,Tianjin,He′nan,Hebei,Shanxi,western Shandong and northern Anhui.While,the low-low clustering patterns of PM_(2.5)are mainly distributed in Yunnan,Fujian,and coastal area of Guangdong.

关 键 词：PM_(2.5) 时空分布 地统计分析 聚类模式 中国 

分 类 号：P208[天文地球—地图制图学与地理信息工程]