摘要
为深入了解区域气溶胶的空间分布特征,采用地统计学中的Moran’s I系数、Moran散点图、LISA聚集图、双变量自相关分析等方法,分析了湖北省2003～2008年的气溶胶光学厚度的空间自相关性、自相关尺度、局部聚集特征以及气溶胶光学厚度与其部分影响因子的空间耦合规律。结果发现,湖北省气溶胶光学厚度具有很显著的空间自相关性,其自相关性尺度约为400km;全省具有高-高、低-低两类及多个聚集区,其中高值聚集区主要分布在武汉城市圈和江汉平原地区,低值聚集区主要位于鄂西山区,并且空间自相关程度与格局在时序上表现较为稳定,未发现巨大差异;高程和森林覆盖率与气溶胶光学厚度具有负空间自相关性,并且其空间格局耦合度要明显好于具有正自相关性的人口密度和工业总产值。
In this paper, we employ some geostatistics methods including Moran＇s I, Moran scatter plot, LISA cluster map and bivariate spatial autocorrelation to study regional spatial autocorrelation and the pattern of aerosol optical depth. Hubei Province is taken as a case study, its spatial autocorrelation degree, the scale of autocorrelation, local spatial agglomer- ation and spatial coupling features of aerosol optical depth and its impact factors during 2003- 2008 were analyzed. The results were as follows. ①The spatial distribution of aerosol opti- cal depth in Hubei Province shows a remarkable level of spatial autocorrelation, the scale of autocorrelation is about 400 km;② There are 2 types of spatial agglomeration area which are high-high and low-low, the areas with high value of aerosol optical depth are distributed mainly over Wuhan Metropolitan and Jianghan plain, and the areas with low value are loca- ted in mountain areas of western Hubei Province; ③ The degree and pattern of spatial auto- correlation were temporally stable in a comparison between the years 2003-2008;④ Elevation and forest coverage are negatively autocorrelated to aerosol optical depth, the degree of spa- tial coupling is greater than the population density and total value of industrial output, which are negatively autocorrelated with the aerosol optical depth.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2013年第7期869-874,共6页
Geomatics and Information Science of Wuhan University
基金
国家863计划资助项目(2009AA122001)
中央高校基本科研业务费专项基金资助项目(201120502020002)
关键词
气溶胶光学厚度
空间格局
空间自相关
双变量空间自相关
aerosol optical depth
spatial pattern
spatial autocorrelation
bivariate spatialautocorrelation
