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以延河流域羊圈沟为研究对象,基于土壤水分空间自相关理论,在土壤水分环境影响因子多元回归基础上,建立了土壤水分空间化模型,并探讨了土壤水分空间分布特征。结果表明:研究区内土壤水分空间分布具有正相关性,且相关性显著,在空间上表现为聚集状态;表层土壤水分与植被覆盖度、高程、坡度、地表粗糙度、地形起伏度和地表切割程度等因素密切相关,且与地表切割程度呈正相关关系,而与植被覆盖度、高程、坡度、地表粗糙度以及地形起伏度因子呈负相关;与普通克里格(OK)、反距离加权(IDW)、径向基函数(RBF)和全局多项式(GPI)的土壤水分空间内插方法相比,多元回归+普通克里格方法(MROK)的拟合程度最高,是表层土壤水分空间化较好模型;土壤水分空间分布格局明显,主要表现为西部和东北部土壤水分含量低,东南部土壤水分含量高。该研究揭示了土壤水分环境因子相关性及空间分异规律,对区域生态文明建设具有一定的促进意义。
Based on the theory of spatial autocorrelation of soil moisture, based on the multiple regression of soil moisture environmental factors, a spatial model of soil moisture was established and the spatial distribution characteristics of soil moisture were discussed. The results showed that: the spatial distribution of soil moisture in the study area was positively correlated, and the correlation was significant, showing spatial aggregation; the surface soil moisture and vegetation coverage, elevation, slope, surface roughness, topographic relief and surface cutting Degree and other factors are closely related and have a positive correlation with the degree of surface cutting, but negatively correlated with vegetation coverage, elevation, slope, surface roughness and terrain fluctuation factors; with common kriging (OK), inverse distance weighted Multivariate Regression + Ordinary Kriging (MROK) method had the highest fitting degree compared with the Spatial Interpolation Method of Spatial Radial Basis Function (RBF) and Global Polynomial (GPI) Good model. The spatial distribution pattern of soil moisture is obvious, mainly because of low soil moisture content in the west and northeast and high soil moisture content in the southeast. The study revealed the correlation and spatial differentiation of soil moisture environmental factors, which is of some significance to the construction of regional ecological civilization.