Spatial correlation between vegetation distribution and respirable particulate matter around capital region

Abstract: With the increasing of the industrialization and urbanization, respirable particulate matter content in the air was increased, which caused serious damages to the surrounding environment of the capital region. In order to reduce the air pollution, analyzing the relationship between respirable particulate matter content in the air and vegetation cover is necessary. This paper researched and analyzed the relationship between respirable particulate matter and vegetation cover according to the region around the central capital , built the capital region with a virtual radius of 100km for the unit circle and divided the important factors such as vegetation, soil, environment, topography to different scales under rectangular grid. Five-year atmospheric pollutant data from 2008 to 2012 was used in this paper, which was provided by the Beijing Municipal Environmental Protection Bureau. The interpolation method of GS+ software and Moran's index were used to analyze spatial autocorrelation of the above variable factors and to calculate the radius of spatial influence in the capital region. Based on a rectangular grid method and Moran's index method, combined with SPSS software, this paper analyzed the distribution of vegetation and the concentration of respirable particulate matter in the air with the distance between the changes of the relationship. After Moran's index derived vegetation distribution and respirable particulate matter in the region around the capital concluded between the grid scale with increasing autocorrelation reduced. Autocorrelation range of vegetation cover is 6620-7131 m, and respirable particulate matter from the relevant sphere influence is 2 998-6 864 m. The spatial correlation distance between vegetation distribution and respirable particulate matter effect 41.87 km through nonlinear regression analysis with SPSS software, the standard errors(P) are between 0.001-0.003, correlation coefficient R2are more than 80%, and therefore non-linear regression model fits better. The accuracy of the model is more than 90%, while all kinds of factors aside 20% of the sample points to the selected model F-test, get outside accord accuracy above 90%.We use the gravitational extended formula to derive spatial correlation of vegetation (vegetation cover, biomass) and environmental factors-respirable particulate matter, the average spatial correlation of rainfall and temperature and calculate distance. The conclusion is drawn that the vegetation influence is decreased followed by the increase of the distance at different side length range and grid value. The innovation of this study is to establish the rectangular grid center in the Beijing Ring, and develop all kinds of elements in equality inside each grid. Each grid center is taken as the center point of the study sample. Through this study, the environmental pollution area is defined in the space radiation radius, which is helpful to remediation for that specific range, such as the introduction of appropriate measures, carrying out the reasonable control lest the car exhaust and factory emissions exceed the environmental capacity, and enhancing public awareness of environmental protection, afforestation according to "suitable tree" principle and in accordance with the rational allocation of species. Environmental effect of central capital region is closely associated with a variety of factors, and this study only establishes the basis of quantitative factors related to model and solves a major factor and the influence radius of various types of qualitative factors; further related research need to be carried in the further.