中文摘要：

采用地理信息系统和地统计学相结合的方法，以泾惠渠灌区麦田土壤导气率空间分布特征为基础进行相关研究。结果表明：地统计学方法较好地模拟了土壤导气率空间变异特征，反映出该地区土壤气体动力学参数具有较强的空间变异特征；容重、饱和含水率、饱和度与土壤导气率的空间自相关（C／（C0＋C））均在0．9以上，说明由自相关部分引起的空间异质性占总空间异质性的程度较大；推荐土壤导气率的采样间距参考值大约为7．5km；土壤导气率与容重的Pearson相关系数绝对值为0．595，两者显著相关；土壤导气率与饱和度的Pearson相关系数绝对值达0．959，两者高度相关；交互相关关系说明容重、饱和度是影响土壤导气率的主成因素，在95％的置信水平上，容重、饱和度对土壤导气率的影响范围均为-20～20km。

英文摘要：

In order to define the spatial distribution of soil air permeability and do correlation analysis of its impact factors in basin scale, researches in Jinghui irrigation district at the middle of Shaanxi province were made. Based on the spatial analysis function of geographic information systems, the results show that the optimal fitting model for air permeability is an exponential model, and the statistical method is suitable to simulate the spatial structure and variation characteristics of soil air permeability. The bulk density, saturated moisture content, saturated degree and soil air permeability＇ s spatial autocorrelation C/（C ＋ Co） are all greater than 0.9. It shows the spatial heterogeneity induced by the autocorrelation has a strong degree in the spatial heterogeneity of the study scale. Recommend sampling distances of air permeability is 7.5 km. Significant correlation is found between bulk density and soil air permeability, and the absolute value of Pearson correlation coefficient is 0. 595. High correlation is found between soil air permeability and saturated degree, and the absolute value of Pearson correlation coefficient is 0. 959. The bulk density and the saturated degree are proved to be the main impact factors by interactive correlation analysis between air permeability and soil physical parameters. The influence ranges of bulk density and soil saturation degree on air permeability are both from - 20 km to 20 km at 95% confidence level.