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黔中白云岩坡耕地土壤界限含水量与机械组成量化关系研究
徐永服, 高华端, 杨海娇, 黄朝海
贵州大学 林学院, 贵州 贵阳 550025
摘要:
[目的]对黔中白云岩坡耕地土壤界限含水量与机械组成量化关系进行研究,为该区坡耕地土壤侵蚀过程机理研究提供科学依据。[方法]通过对野外采集土样、室内试验及SPSS软件分析。[结果]白云岩区坡耕地土壤塑限与土壤黏粒含量、粉粒含量和细砂粒含量都表现出正相关性,而与粗砂粒的含量表现出负相关性;白云岩区坡耕地土壤液限与土壤黏粒含量、粉粒含量和细砂粒含量的增加而随之增加,而随粗砂粒的含量增加而减少;白云岩区坡耕地土壤液性指数与土壤黏粒的含量具有显著正相关性,而与粗砂粒的含量具有显著负相关性;白云岩区坡耕地土壤机械组成与土壤的塑性指数无显著相关性。[结论]土壤机械组成与界限含水量关系密切,黔中白云岩区坡耕地土壤界限含水量值可以通过土壤机械组成得出。
关键词:  黔中  坡耕地  机械组成  界限含水量  量化研究
DOI:10.13961/j.cnki.stbctb.2018.04.014
分类号:
基金项目:国家自然科学基金项目“喀斯特坡耕地浅层孔(裂)隙水文过程及土壤侵蚀过程响应机制”(41671275)
Quantitative Relationship Between Soil Moisture and Mechanical Composition of Dolomite Slope Land in Central Guizhou Province
XU Yongfu, GAO Huaduan, YANG Haijiao, HUANG Chaohai
College of Forestry, Guizhou University, Guiyang, Guizhou 550025, China
Abstract:
[Objective] Studying the quantitative relationship between soil boundary water content and mechanical composition of dolomite slope farmland in Central Guizhou Province, which provided scientific basis for the study of soil erosion process mechanism of sloping farmland in this area.[Methods] Field sampling, laboratory test and analysis by SPSS software.[Results] In the dolomite area of the slope farmland, the relationship of the plastic limit with the soil clay content, powder content and fine sand content has a positive correlation, but has a negative correlation with the content of coarse sand; the soil liquid limit increases with the increase of soil clay content, but reduces with the increase of coarse sand. The soil liquid index was positively correlated with soil clay content, but negatively correlated with coarse sand content, and there is no significant correlation between the soil mechanical composition and the plastic index of the soil.[Conclusion] The soil mechanical composition of the slope farmland in dolomite area of Central Guizhou Provinceis closely related to the limit water content, the soil moisture content can be obtained by soil mechanical composition.
Key words:  sloping farmland  mechanical composition  boundary water content  quantitative research  Central Guizhou Province