摘要
运用基于ArcGIS的地统计学组件分析了河北省曲周县124个耕层土壤颗粒组成的空间特征。结果表明,区域土壤砂粒含量和粘粒含量在东西方向和南北方向的趋势分别为二阶趋势和一阶趋势;粉粒含量在东西方向呈二阶趋势,南北方向呈零阶趋势。在趋势参数为零阶、一阶和二阶条件下,砂粒含量的异向性分析结果为长轴方向变程接近,短轴方向分别为17.83km、16.12km和21.16km,但它们都比各向同性且趋势参数为一阶时的变程长。从误差分析和反映区域与局部趋势的结果两方面看,土壤砂粒含量在不同趋势参数或不同异向性参数条件下内插的等值线图以一阶趋势的内插结果最好。
Based on the investigation data of 124 sampling points in Quzhou county (the typical alluvial region of the North China Plain), spatial variation characteristics of soil particle composition were studied by the geostatistical component of ArcGIS (a kind of geographic information system tool). The results indicated that the trends of both sand and clay particle contents were second order in the east-west direction, and first order in the north-south direction. The trends of silt particle contents in the east-west direction and the north-south direction were second order and zero order, respectively. The anisotropy semivariance models of sand particle content showed that the ranges in the short axis direction were 17.83 km, 16.12 km and 21.16 km with zero order, the first order and second order trend effect, respectively. While the ranges in the long axis direction were approximate equal with all trend effects. The anisotropy semivariance models had longer ranges than the isotropy model with the first trend effects. It indicated that Kriging interpolation method considering anisotropy together with the first order trend effect was the best, by comparing the contour maps of soil sand particle content and the interpolation error of methods with different trend effects and anisotropy parameters.
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2004年第1期56-60,共5页
Transactions of the Chinese Society of Agricultural Engineering
基金
国家重点基础研究专项经费(G1999011700)
国家自然科学基金(40201023
50349012)
北京市科技新星计划(2003A57)
关键词
土壤颗粒组成
变异函数
克里格插值
趋势效应
异向性
soil particle composition
semivariance
kriging interpolation
trend effect
anisotropy
