Researches On The Spatial Distribution Of Vegetation And Environment Effects Around The Central Metropolitan Correlation

This paper take the capital region100km loop as the study area, divided different areas of the grid scales based on the rectangular grid method, extraction and integration MODIS data, TM data, etc. of2013. The innovation of this study is to establish the rectangular grid take the Beijing Ring as the research center, and developed equalization of various elements inside the each grid, set radiation radius R. Using geo-statistics variogram to establish the best model of all kinds of factors changes followed with the radius. In this study, MODIS data and field survey are used to the data combination and acquisition, including meteorological data, soil data, vegetation data, terrain data and environmental data etc. Using air pollution index data provided by the Beijing Municipal Environmental Protection Bureau of air quality for6years from2007to2012were compared between three kinds of interpolation method of GS+software for variable data extracted spatial correlation studies. While taking advantage of Moran-Moran’s I index to analysis spatial autocorrelation of these variables factors and to calculate the radius of influence spatial effects of environmental factors capital region, such as soil factors, hydrological factors, rings and other types of vegetation factors, which grid at different scales of radiation radius R, then established the optimization model. The innovation of this study is to establish the rectangular grid center in Beijing Ring, and develop all kinds of elements is equality inside of each grid. Take grid center as the center point of the study sample, researches on the correlation studies of vegetation and the environment factors in accordance with3x3、5x5、7x7、9x9、11x11、13x13、15x15and17x17, the eight kinds of grids. Calculate the maximum distance of the vegetation could effect on the environment, based on the idea of spatial distance correlation method derived under different side length of the rectangular grid values. Based on the above, the main conclusions of this paper are as follows:(1)After interpolation algorithm relevance of each factor space radiation variable range ACalculated radius of space radiation effects of various types of factors based on GS+ software of geo-statistics, take the conclusion as follows:under different grid scales to the center of each grid point as a sample using interpolate kriging, interpolate inverse distance the weighting, interpolate conditional simulation for spatial interpolation of sample points to establish the best model spatial effect of various types of factors. Through the relevant model drawn, correlation influence radius is: Range(A) rainfall-max is113.45km, Range(A) rainfall-min is103.23km,Range(A)vegetation cover is74.40km,Range(a)DEM is132.15km,Range(A)Pmax is7.27km,Range(A)Pmin is232.20km,Range(A)K max is165.50km, Range(A)K min is93.30km, Range(A)Q is100.45km, Range(A)API is67.10km, concluded that less space relevant of the point with the increasing of the distance.(2) Moran index-Moran’s I calculate different influence grid scale of spatial autocorrelationBy using three kinds of interpolation variogram analysis of the space under all kinds of different rectangular grid scale factor correlations, we use Moran index-Moran’s I autocorrelation method to study space dots between the various types of factors, found that autocorrelation affected area is smaller than the radius of each factor generally change spatial correlation of radiation process, but with the same spatial variation function of various types of autocorrelation factor along with the distance between the dots increases reduced conclusions but the difference is in a reasonable scale grid will get this conclusion. Moran index was calculated the factors autocorrelation of influence is: Irvegetation cover∈(6620m,7131m),Irrainfall-max∈(6923m,9756m),Irrainfall-min∈(7112m,8933m), IrAPI∈(2998m,6864m),IrK∈(6623m,6789m), Irp∈(6016m,8827m), Irorgmic matter∈(6621m,6721m),IrDEM∈(8850m,8893m).Through Moran performed vario-gram and index analysis of all kinds of factors, which can affect the state of the environment in the Capital Region central100km range, it results in an optimal model at certain range of each factor grid-scale with spatial distance changes. The accuracy of the model are accord with above than98%, while all kinds of factors aside20%of the sample points to the selected model F-test, get outside accord accuracy above90%.(3) Spatial correlation between vegetation and environmental factorsAfter studied the correlation of vegetation factors, climatic factors, environmental factors, spatial soil factors and landforms, we use the gravitational extended formula derivation spatial correlation of vegetation (vegetation cover, biomass) and environmental factors (re-spirable particulate matter P M,SO2,NO2, the average spatial correlation of rainfall and temperature)and calculate distance. Get the conclusion is the vegetation influence is decreased followed by the increase of the distance at different side length range and grid value. The maximum impact from PM, SO2, NO2, the average rainfall and average temperature is14.74km,13.96km,13.59km,26.57km and18.0km.In summary, in the Capital Region, central range interactions between regions of the environmental impact of various types of factors as the distance between points increases and decreases, which through this study, the environmental pollution area defined in the space radiation radius correlation and remediation for that specific range, such as the introduction of appropriate measures to carry out the reasonable control of the car exhaust, factory emissions exceeding the surrounding proper migration, and enhance public awareness of environmental protection, according to " suitable tree " principle afforestation, in accordance with the adsorption mechanism of species such as the rational allocation of species. Environmental effect of central capital region is closely associated with a variety of factors, this study only known to establish the basis of quantitative factors related to model and solve a major factor and radius of influence of various types of qualitative factors, such as various types of human factors related research will be analysisied in the further.