三峡山地土壤水分特征曲线及模型拟合

发布时间：2018-03-04 21:39

本文选题：山地土壤　切入点：水分特征曲线　出处：《灌溉排水学报》2017年09期 　论文类型：期刊论文

【摘要】：为揭示土壤涵养水源的机制,并为山区生态治理提供依据,以三峡库首大老岭和夷陵山地为研究区,采集温性阔叶林棕壤、针阔混交林黄棕壤、茶园地和暖性针叶林黄壤的原状土样,通过离心法分析并拟合了山地土壤的水分特征曲线。结果表明,三峡山地土壤随吸力增大,土壤含水率呈先迅速降低后趋于平缓的变化规律。黄壤的持水性较差,黄棕壤相对于其他林地土壤有着更强的持水性。茶园持水能力比棕壤和黄棕壤差,与黄壤差异较小。孔隙分布随土壤剖面深度的增加而减少。大孔隙以黄壤体积比最大,其次是黄棕壤和棕壤,茶园最小。用van Genuchten模型拟合山地土壤的水分特征曲线,决定系数R2均大于0.95,模型可靠性高。van Genuchten模型参数n与有机质(P0.05)和粉粒(P0.05)的相关性较高,参数α与理化性质相关性较差。
[Abstract]:In order to reveal the mechanism of soil water conservation and to provide basis for ecological management in mountainous areas, yellow brown soil of temperate broad-leaved forest and mixed coniferous and broad-leaved forest were collected from the three Gorges Reservoir, the Shouda Dalaoling and Yiling mountains as study areas. The undisturbed soil samples of tea garden land and warm coniferous forest yellow soil were analyzed and fitted by centrifugal method. The results showed that the soil moisture characteristics of the three Gorges mountainous area increased with the increase of suction. The water holding capacity of yellow brown soil was lower than that of other woodland soil, and the water holding capacity of tea garden was lower than that of brown soil and yellow brown soil, and the water holding capacity of yellow brown soil was lower than that of brown soil and yellow brown soil, and the water holding capacity of tea garden was lower than that of brown soil and yellow brown soil. The porosity distribution decreased with the increase of soil depth. The largest porosity was yellow soil volume ratio, followed by yellow brown soil and brown soil, and the tea garden was the smallest. The van Genuchten model was used to fit the water characteristic curve of mountain soil. The determination coefficient R2 is greater than 0.95.The reliability of the model is high. Van Genuchten model parameter n has a higher correlation with organic matter (P 0.05) and silt particle (P 0.05), and the parameter 伪 has a poor correlation with physical and chemical properties.
【作者单位】：华中师范大学城市与环境科学学院;地理过程分析与模拟湖北省重点实验室;
【基金】：国家自然科学基金项目(41001125) 湖北省自然科学基金重点项目(2015CFA141)
【分类号】：S152.7

【相似文献】