铜陵土壤有机质空间变异分析  

Spatial Variability Analysis of Soil Organic Matter in Tongling

作　　者：王强[1] 张莉莉[2,3] 马友华[1] 

机构地区：[1]安徽农业大学资源与环境学院,合肥230036 [2]安徽农业大学信息与计算机学院,合肥230036 [3]安徽粮食工程职业学院,合肥230011

出　　处：《中国农学通报》2013年第33期193-199,共7页Chinese Agricultural Science Bulletin

基　　金：国家科技支撑计划"南方平原稻作区农业面源污染防控技术集成与示范"(No.2012BAD15B03)

摘　　要：为了研究安徽省铜陵市土壤有机质空间变异特征,采用地理信息系统与地统计学相结合的方法,按照普通克里格方法选择不同的半方差模型进行插值,同时通过标准化均方根误差(RMSE)验证和同一系数(AC)验证进行精度对比。结果表明,对数转换后的插值结果并未提高,标准化均方根误差验证利用原插值样点交叉验证进行数据验证结果的参考价值有限,独立样本的验证是非常必要。研究区内土壤有机质含量的变异系数一般,主要受到研究区内地形的影响,整个区域内分布并不均匀,有机质含量较高区域分布于高海拔位置。The research took Tongling County as the study area,apply geostatistics combined with GIS,selected the soil organic matter as research object,and analyzed the spatial variability feature. According to Kriging interpolation theory,the study further applies different semivariogram model and compares the accuracy between the Root Mean Square Standardized Error（RMSSE） and the Agreement Coefficient（AC）. The research indicated that,the spatial interpolation by log transformation cannot improve accuracy,using the RMSSE to compare the accuracy with the original interpolation sample was only a reference,independent validation samples were necessary. The coefficient of variation of soil organic matter was general,the content distribution was uneven and the higher organic matter distributed in the high-altitude location,influenced mainly by the terrain of the region.

关 键 词：土壤有机质 克立格插值 对数转换 空间变异性 同一系数 

分 类 号：S153.6[农业科学—土壤学]