Researches on the Spatial Distribution of Digital Elevation Model and Particulate Matter Around the Central Metropolitan Correlation Based on Hyperspectral Ring
MAO Hai-ying
Specialized Forces College of the Chinese Armed Police Force, Beijing 102202, China
Abstract：Increased concentration of air respirable particulate matter associated with a number of combination factors. Spatial dispersion is also correlated with elevation DEM. In order to study the fog haze pollution associated with digital elevation model of spatial relations, this paper used the capital area ring within 100 km as the research scope, partitioning different length scale grid according to the rectangular grid method in the study area, obtaining visible light image data and hyperspectral image data by using unmanned aerial vehicle (UAV) for the extraction and integration air pollution factor and elevation factor within the scope of this study. GS+ software of kriging interpolation method was used to research the spatial correlation of variable data extraction; the MODIS remote sensing image data combined with field survey were used to analyze nonlinear regression of the terrain and environmental data.With the Calculation of variation effects of the particulate matter in the air and the spatial of the elevation factor under different grid scale ring of capital region, an optimization model of spatial correlation between them was established. Then the relation between the concentration of PM10 and height was determined. The biggest influence distance of elevation DEM associated with particulate matter API is 14.74 km. DEM space since the correlation of waning with the increase of the distance between sample points, which is also an important innovation of this paper. This result shows that the spatial correlation between the elevation DEM and environment conforms to the statistical spherical Gaussian model, correlation coefficient R2 were over 90%, which model fittings good. This study provides a certain theoretical and practical guidance for the control of air pollution index in the future as the change of height to select different tree species for afforestation.
毛海颖 . 基于高光谱的环首都地区数字高程模型与可吸入颗粒物的空间相关性研究 [J]. 光谱学与光谱分析, 2016, 36(09): 2946-2950.
MAO Hai-ying . Researches on the Spatial Distribution of Digital Elevation Model and Particulate Matter Around the Central Metropolitan Correlation Based on Hyperspectral Ring . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(09): 2946-2950.
