摘要
2005年4～8月期间，利用Trime水分速测系统，采用网格化取样方式对烟台农科院梨园的土壤（0～30cm）水分的90个样点进行了四次取样，并运用传统统计学和地统计学方法对土壤水分的数据统计特征、半方差函数和分维数及其时空分布规律进行了分析。结果表明，土壤水分具有明显的空间变异性，测量期内土壤水分变异系数CV分别为0．0889，0．2479，0．1291和0．2191．半方差函数的变程分别为27．25m，4．25m，9．73m和5．32m，分维值依次为1．842．1．957，1．926和1．929。降雨后测量（第一次测量和第三次测量）的土壤水分变异系数和分维数偏低且变程偏大，说明降雨使得土壤水分的空间依赖性增强，分布趋于均匀，而随后的土壤蒸发则有减弱土壤水分的空间依赖性和促使分布不均匀的效应。
Based on gridding sampling, soil water was conducted with Trime measuring system in pear orchard of Yantai Academy of Agricultural Sciences from April to August in 2005, and the soil water statistic characteristic, semivariance, fractal dimension and the law of temporal and spatial distribution were also studied. The result showed that the soil water had obviously spatial variability, and the coefficients of variation were 0. 0889,0. 2479,0. 1291 and 0. 2191, respectively . Furthermore the ranges were 27.25,4.25,9.73 and 5.32 m, and fractal dimensions were 1. 842, 1. 957, 1. 926 and 1. 929. The coefficient of variation and fractal dimension of soil water measured after rainfall were the least, at the same time range was the largest, which showed that rainfall maked spatial dependence of soil water more obvious and its distribution more even, but the succedent evaporation of soil maked them opposite.
出处
《水土保持研究》
CSCD
北大核心
2006年第6期159-162,共4页
Research of Soil and Water Conservation
基金
烟台师范学院重点基金项目(043201)
人才引进基金(000444)资助
关键词
土壤含水量
半方差函数
时空分布
分维数
soil water content
semivariance
temporal and spatial distribution
fractal dimension
