基于信息熵原理的土壤pH影响因素空间相关性分析

土壤酸碱度是土壤重要的基本性质之一,它受特定的生物气候条件、地形、母质来源以及人为活动的影响.本文选取发育于不同母质和不同地形部位,且土地利用方式多样的丘陵区土壤,进行高密度土壤剖面样品的采集,分析获取表层和底层土壤pH数据.基于信息熵原理对土壤pH与母质、地形和土地利用方式之间的空间相关性进行定量分析,结果表明表层土壤pH主要受土地利用方式的控制,耕作土壤pH值明显小于自然土壤;而底层土壤pH主要受母质的影响,不同母质上发育的土壤pH值从高到低依次排列为紫红色砂页岩风化物、下蜀黄土和砂岩风化物.本文的研究特色是应用联合信息熵算法,在定性变量和定量变量之间进行定量的空间相关性分析,这点克服了以前定性变量和定量变量之间相关关系研究的不足.

Spatial Similarity Analysis of Soil pH'S Influence Factor Based on Information Entropy Theory

Acidity and alkalinity is a basic property of soil, which is influenced by biology, climate, landform, parent material and artificial activity. This paper selected the soils developed from different parent material and landform positions and land use types in a hill section. The data of pH value of topsoil and bottom soil were got by digging soil profile and experimental analysis. Spatial similarity was analyzed between soil pH and parent material, landform, land use pattern respectively by information entropy theory. The results showed that topsoil pH was mainly influenced by land use pattern, pH value of cultivate soil was lower than natural soil. And the bottom soil pH was mostly influenced by parent material, pH-value of soil developed from sandstone rotten material was the lowest, then the Xiashu loess, the maximal one was sandstones and fuchsia shale material. This paper was characterized by a quantitative spatial relativity analysis between the qualitative and quantitative variables based on unite entropy theory, it could overcome the deficiency existed in the previous studies.