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土壤水分特征曲线测定中低吸力段数据的影响分析
引用本文:王红兰,唐翔宇,宋松柏. 土壤水分特征曲线测定中低吸力段数据的影响分析[J]. 灌溉排水学报, 2012, 31(6): 56-59
作者姓名:王红兰  唐翔宇  宋松柏
作者单位:1. 西北农林科技大学水利与建筑工程学院,陕西杨凌712100 中国科学院/水利部成都山地灾害与环境研究所,成都610041
2. 中国科学院/水利部成都山地灾害与环境研究所,成都,610041
3. 西北农林科技大学水利与建筑工程学院,陕西杨凌,712100
基金项目:基金项目:“十二五”国家科技支撑计划项目,中国科学院“百人计划”择优支持项目,国家自然科学基金项目
摘    要:采用沙箱法与压力膜仪法分段测定坡耕地不同土层深度(0~10、10~20、20~30cm)的土壤水分特征曲线,应用RETC软件拟合求得van Genuchten模型参数。由沙箱结合压力膜仪数据拟合得到的全吸力范围曲线(log10h~θ)类似于"S"形,而仅使用压力膜仪测得的高吸力段(log10h>2)数据所获得的曲线并不表现出明显的"S"形特征。综合沙箱法和压力膜仪法二者的数据拟合得到的滞留含水率大于仅使用压力膜仪数据拟合所得值。

关 键 词:土壤水分特征曲线  压力膜仪法  沙箱法  van Genuchten模型参数

Analysis of the Influence of Data Obtained at Low Suctions on Soil Water Retention Curve
WANG Hong-lan,TANG Xiang-yu,SONG Song-bai. Analysis of the Influence of Data Obtained at Low Suctions on Soil Water Retention Curve[J]. Journal of Irrigation and Drainage, 2012, 31(6): 56-59
Authors:WANG Hong-lan  TANG Xiang-yu  SONG Song-bai
Affiliation:1(1.Northwest A&F University,College of Water Resources and Architectural Engineering, Yangling 712100,China;2.Institute of Mountain Hazards and Environment, Chinese Academy of Sciences,Chengdu 610041,China)
Abstract:In this study,soil water contents of three soil horizons(0~10 cm,10~20 cm and 20~30 cm) on a sloping farmland were measured by sand box method and pressure chamber method.The van Genuchten model(1980) was fitted to soil water retention data using RETC.The results showed that soil volumetric water content in the low suction range changed dramatically with the increase of suction,while changing slowly in the high suction range.The shapes of SWRC were similar for different soil horizons.The obvious "S" shape of SWRC obtained from data measured using both a sand box and a pressure chamber was not observed when the data were obtained using only a pressure chamber.The fitted value of soil residual water content(θr) was close to the soil water content measured at a suction of 15 000 cm only when data at low suctions were included.
Keywords:soil water retention curve pressure chamber sand box van Genuchten model parameter
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