摘要
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。
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
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2015年第1期220-227,共8页
Transactions of the Chinese Society of Agricultural Engineering
基金
国家科技支撑计划项目(2012BAH34B01)
关键词
植被
气体
地统计
莫兰指数
格网
空间相关性
vegetation
gases
statistics
Moran’s index
grid
spatial correlation
