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土壤特性与Philip入渗公式标定因子的空间变异性关系
引用本文:武世亮,;聂卫波,;马孝义.土壤特性与Philip入渗公式标定因子的空间变异性关系[J].排灌机械,2014(8):730-736.
作者姓名:武世亮  ;聂卫波  ;马孝义
作者单位:[1]西北农林科技大学旱区农业水土工程教育部重点实验室,陕西杨凌712100; [2]西安理工大学水资源研究所,陕西西安710048
基金项目:国家863计划项目(2011AA100509); “十二五”国家科技支撑计划项目(2012BAD08B01,2011BAD25B03); 国家自然科学基金资助项目(51279167,51209171)
摘    要:以在杨凌地区的土壤野外垂直入渗试验为基础,利用标定理论对Philip入渗方程进行标定,用多重分形法和联合多重分形法定量分析了标定因子和土壤物理特性多尺度下的空间变异性及空间相关性,并构建了标定因子的土壤转换函数.研究表明:算数标定因子的标定效果最优;研究区域内的标定因子和各土壤物理特性具有多重分形特征,在单一尺度上和多尺度上,标定因子和沙粒质量分数的空间变异性较强,不同尺度区间上的高值信息对其空间分布影响较大,而粗粉粒质量分数的空间变异性由不同尺度区间上的低值造成;单一尺度上,标定因子与有机质质量分数和黏粒质量分数的相关性具有统计学意义,在多尺度上,标定因子与土壤容重、黏粒质量分数和有机质质量分数的相关性具有统计学意义;基于联合多重分形建立的标定因子的土壤转换函数的预测效果比较理想,具有较强的理论基础和理论价值.

关 键 词:土壤入渗  标定因子  土壤物理特性  空间变异性  多重分形  土壤转换函数

Spatial variation of soil physical characteristics and calibration factor of Philip infiltration formula
Institution:Wu Shiliang, Nie Weibo, Ma Xiaoyi ( 1. Key Laboratory for Agricultural Soil and Water Engineering in Arid Area of Ministry of Education, Northwest A&F University, Yang ling, Shaanxi 712100, China ; 2. Institute of Water Resources, Xi'an University of Technology, Xi'an, Shaanxi 710048, China)
Abstract:With a soil field infiltration test in the Yangling area as the basis, Philip's infiltration equation was calibrated by using the calibration theory. The calibration coefficient and the spatial variability of soil physical properties were analyzed using the multifractal method, and based on the joint multifraetal theory, a pedo-transfer function of calibration factors was constructed. The research has shown that the calibration results of arithmetic calibration factors are the most optimum. Calibration factors and soil physical properties within the research area possess multifractal characteristics, and on single and multiple scales, the spatial variability of calibration factors, sand content and organic matter content are relatively strong. The spatial variability of calibration factors and sand content is composed of high values in different scale intervals, and the spatial variability of coarse dust content is composed of low values in different scale intervals. On a single scale, there is relatively significant correlation between calibration factors and the content of organic matter as well as clay particles, and on a multiple scale, there is a significant correlation between calibration factors and soil bulk density, clay particle content and organic matter content. The soil transformation function of calibration factors from joint multifractal theory has relatively small calculation errors, and the pedo-transfer function from joint multifractal analysis can possesses a strong theoretical basis and value.
Keywords:soil water infiltration  calibration factor  soil physical properties  spatial variation  multifractal  soil transformation function
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