CAJ | 학술논문

为了分析空气中可吸入颗粒物含量与植被覆盖间的关系，进而为减轻雾霾污染提供依据和参考，该文立足于环首都地区的环境污染程度，对环首都地区的空气可吸入颗粒物进行了相关的研究和分析，建立以环首都地区100 km为单位的圈层，并对该圈层下植被、土壤、环境、地形等重要因子按照不同矩形格网尺度进行划分，并取格网中心点作为研究点。并以环首都地区2013年的植被分布特点和规律为基础，按照矩形格网法通过地统计学Moran’s I法结合SPSS软件非线性回归分析植被分布与空气中可吸入颗粒物浓度间随距离变化的关系。经过 Moran’s 指数法分析得出环首都地区植被分布与可吸入颗粒物间随着格网尺度的增大而自相关性降低，植被盖度的自相关影响范围是6620～7131 m，可吸入颗粒物自相关影响范围是2998～6864 m。通过SPSS软件的非线性回归分析得出植被分布与可吸入颗粒物间的空间相关性影响距离是41.87 km，标准误差P均在0.001～0.003之间，相关系数R2均在80%以上，非线性回归模型拟合较好，更好的说明了环首都地区植被分布与环境污染间的空间相关关系，为日后对其他地区的植被与环境污染指数的相关性分析的研究提供了理论依据。
위료분석공기중가흡입과립물함량여식피복개간적관계，진이위감경무매오염제공의거화삼고，해문립족우배수도지구적배경오염정도，대배수도지구적공기가흡입과립물진행료상관적연구화분석，건립이배수도지구100 km위단위적권층，병대해권층하식피、토양、배경、지형등중요인자안조불동구형격망척도진행화분，병취격망중심점작위연구점。병이배수도지구2013년적식피분포특점화규률위기출，안조구형격망법통과지통계학Moran’s I법결합SPSS연건비선성회귀분석식피분포여공기중가흡입과립물농도간수거리변화적관계。경과 Moran’s 지수법분석득출배수도지구식피분포여가흡입과립물간수착격망척도적증대이자상관성강저，식피개도적자상관영향범위시6620～7131 m，가흡입과립물자상관영향범위시2998～6864 m。통과SPSS연건적비선성회귀분석득출식피분포여가흡입과립물간적공간상관성영향거리시41.87 km，표준오차P균재0.001～0.003지간，상관계수R2균재80%이상，비선성회귀모형의합교호，경호적설명료배수도지구식피분포여배경오염간적공간상관관계，위일후대기타지구적식피여배경오염지수적상관성분석적연구제공료이론의거。
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.