基于MODIS 数据的山西省气溶胶时空变化特征
郭丽梅，杨伟
（太原师范学院地理科学学院，山西 晋中 030600）
摘要： 山西省是中国重要的煤炭生产基地，环境污染较为严重，探究气溶胶时空变化对该区域大气环境的研究具有
重要意义。利用MODIS 数据反演1 km 分辨率的气溶胶光学厚度（AOD） 产品，采用GIS 统计分析法和热点分析
（Getis-Ord G*） 法，对山西省11 个地级市的气溶胶光学厚度时空变化进行研究。结果表明，时间分布上，AOD 年际变
化整体呈现先升高后降低的趋势，年内变化表现为1—8 月波动上升，8—12 月波动下降，且夏季最高，春季次之，秋冬
两季最低。空间分布上，山西省AOD 值整体处在相对较低的水平，但也有部分区域AOD 值较高。热点区域演变上，
AOD 热点区分布与AOD 空间格局基本一致，但不同水平程度的AOD 热点演变情况有所差异，且集聚效应整体上呈现由
集聚加强到集聚减弱的趋势。
关键词： MODIS；气溶胶光学厚度；时空变化；热点分析；山西省
中图分类号： X513；X87     文献标识码： A     文章编号： 2095-0802-(2020)07-0069-04
Temporal and Spatial Distribution of Aerosols in Shanxi Province Based on MODIS Data
GUO Limei, YANG Wei
(School of Geographical Science, Taiyuan Normal University, Jinzhong 030600, Shanxi, China)
Abstract: Shanxi Province is an important coal production base in China, with serious environmental pollution. It is of great significance
to explore the temporal and spatial distribution of aerosols to the atmospheric environment of this region. In this paper,
the MODIS data were used to invert the aerosol optical depth (AOD) product with 1 km resolution, and the GIS statistical analysis
method and the hot spot analysis(Getis-Ord G*) method were used to study the spatial and temporal distribution characteristics of
aerosol optical depth of 11 prefecture-level cities in Shanxi Province. The results show that, in the time distribution, the interannual
variation of AOD shows a trend of increasing first and then decreasing. The annual variation shows the fluctuation from
January to August, the fluctuation from August to December, and the highest in summer, followed by spring, the lowest in the two
seasons of autumn and winter. In terms of spatial distribution, the AOD value of Shanxi Province is generally at a relatively low
level, but some areas have higher AOD values. In the evolution of hotspots, the distribution of AOD hotspots is basically consistent
with the spatial pattern of AOD, but the evolution of AOD hotspots at different levels is different, and the agglomeration effect on
the whole shows the trend of agglomeration strengthening to agglomeration weakening.

Key words: MODIS; aerosol optical depth; temporal and spatial distribution; hot spot analysis; Shanxi Province