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晋西黄土区土壤水分空间异质性的地统计学分析
引用本文:毕华兴,李笑吟,刘鑫,李俊,郭孟霞.晋西黄土区土壤水分空间异质性的地统计学分析[J].北京林业大学学报,2006,28(5):59-66.
作者姓名:毕华兴  李笑吟  刘鑫  李俊  郭孟霞
作者单位:1.1 北京林业大学林木花卉遗传育种教育部重点实验室 2 江西农业大学园林艺术学院3 河北科技师范学院生命科学系
基金项目:国家重点基础研究发展计划(973计划)
摘    要:土壤水分的空间分布存在着一定的随机性和结构性特征,而对不同尺度土壤水分空间变异规律的研究是土壤水分研究中的热点问题.该文通过2004—2005年对山西吉县蔡家川小流域不同取样尺度(20 m×20 m、2 m×2 m) 391个样点土壤水分的测定(TDR土壤水分测定法),使用地统计学方法进行土壤水分的空间异质性分析,以区域化变量理论为基础,以变异函数为主要工具,以克立格法为基本方法进行土壤水分异质性研究.结果表明:研究区土壤水分的理论变异模型为球状模型,20 m×20 m网格取样变程为494.16 m,2 m×2 m网格取样变程为27.4 m,试验区土壤水分的变异属于中等程度的变异;通过克立格插值估计,整个研究区坡面土壤水分平均值为10.94%(0~30 cm)和11.88%(30~60 cm). 

关 键 词:土壤水分时空异质性    TDR    黄土区    变异函数    克立格插值
文章编号:1000-1522(2006)05-0059-08
收稿时间:09 11 2005 12:00AM
修稿时间:2005-09-11

Spatial heterogeneity of soil moisture using geological statistics method in the loess region of west Shanxi Province.
BI Hua-xing,LI Xiao-yin,LIU Xin,LI Jun,GUO Meng-xia.Spatial heterogeneity of soil moisture using geological statistics method in the loess region of west Shanxi Province.[J].Journal of Beijing Forestry University,2006,28(5):59-66.
Authors:BI Hua-xing  LI Xiao-yin  LIU Xin  LI Jun  GUO Meng-xia
Institution:1 Key Laboratory of Soil and Water Conservation and Desertification Combating, Ministry of Education, Beijing Forestry University,100083, P.R. China; 2 School of Soil and Water Conservation, Beijing Forestry University, 100083, P.R. China.
Abstract:Taking the Caijiachuan Watershed (40.10 km2, Jixian County, Shanxi Province) as an example of the Loess Plateau of China, this paper analyzed the spatial heterogeneity of soil moisture using geological statistics method and the spatial distribution of soil moisture using Kriging Interpolating Method, vary function and regional variable theory. In the research area, 391 soil moisture sites were arranged according to two different sample scales (20 m×20 m and 2 m×2 m) on slope and the soil moisture was detected by TRIME-TDR from year 2004 to 2005. The results showed that: 1) the model of soil moisture variation in the research area was a spherical model; 2) the variation ranges of soil moisture were 494.16 m and 27.4 m for the different sample scales (20 m×20 m, 2 m×2 m), respectively; 3) the variation of soil moisture in the research area was a kind of medium variation; and 4) the average soil moisture in different depths of soil profile were 10.94% (0-30 cm) and 11.88% (30-60 cm).
Keywords:spatial and temporal heterogeneity of soil moisture  TDR  loess area  vary function  Kriging Interpolating Method
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