[1]张 优,王 娟,张 杰,等.基于GIS与地统计学的土壤水分空间插值方法[J].四川师范大学学报(自然科学版),2019,(05):703-710.[doi:10.3969/j.issn.1001-8395.2019.05.020]
 ZHANG You,WANG Juan,ZHANG Jie,et al.Study on Interpolation Method of Soil Moisture based on GIS and Statistical Models[J].Journal of SichuanNormal University,2019,(05):703-710.[doi:10.3969/j.issn.1001-8395.2019.05.020]
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基于GIS与地统计学的土壤水分空间插值方法()
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《四川师范大学学报(自然科学版)》[ISSN:1001-8395/CN:51-1295/N]

卷:
期数:
2019年05期
页码:
703-710
栏目:
基础理论
出版日期:
2019-07-15

文章信息/Info

Title:
Study on Interpolation Method of Soil Moisture based on GIS and Statistical Models
文章编号:
1001-8395(2019)05-0703-08
作者:
张 优12 王 娟12 张 杰12 彭文甫12* 朱亚兰12
1.四川师范大学 地理与资源科学学院, 四川 成都 610066; 2.四川师范大学 西南土地资源评价与监测教育部重点实验室, 四川 成都 610066
Author(s):
ZHANG You12 WANG Juan12 ZHANG Jie12 PENG Wenfu12 ZHU Yalan12
1.Institute of Geography and Resources Science, Sichuan Normal University, Chengdu 610066, Sichuan; 2.Key Lab of Land Resources Evaluation and Monitoring in Southwest of Ministry of Education, Sichuan Normal University, Chengdu 610066, Sichuan
关键词:
地统计学 GIS 土壤水分 空间插值
Keywords:
geostatistics GIS soil moisture interpolation
分类号:
S158
DOI:
10.3969/j.issn.1001-8395.2019.05.020
文献标志码:
A
摘要:
空间连续的土壤属性数据是土壤信息系统工作的基础,土壤水分在土壤形成和土壤肥力上有着不可替代的作用.作为土壤水分变化的时空定量监测方法,土壤水分空间插值方法及其精度是数字土壤研究的重点,但不同空间插值方法对山地平原过渡地带土壤水分的影响尚不清楚.以龙门山与成都平原过渡地带的绵竹市部分区域为研究区,在土壤采样、测试获取土壤水分数据基础上,采用反距离权重法(IDW)、普通克里格插值法(Kriging)、径向基函数插值法(RBF)和回归克里格法(RK)等不同方法对土壤水分进行空间插值,并以土壤样点水分数据为参考值
Abstract:
Spatial distribution of soil properties is the basis of soil information system.Soil moisture content, one part of soil properties, plays a key role in the process of soil formation and its fertility.The spatial interpolation method used to monitor soil moisture and its precision are the key of digital soil study, however, the precision between each interpolation methods on soil moisture in the transitional zone from mountain to plain is unclear yet.In this article, partial region in Mianzhu was used as study area, which is located in the transition from Longmen Mountain to Chengdu plain.The soil water was interpolated by different methods, such as IDW, Kriging, RBF and RK, to analyze which interpolation method is better for soil moisture content in the transitional zone, based on soil water data is obtained from soil sampling and testing.The result showed that: 1)the different index will lead to different precision in numerous interpolation methods.The Kriging interpolation is of the best applicability for the transitional zone when the target variable space correlation is weak and the correlation between environmental factors is strong, regression kriging interpolation method is more superior.The most suitable method is IDW when the local phenomenon presents variability.As well as RBF is not appropriate when the surface value appears to have a sharp change in short-distance or if the sample value is likely to have a measurement error or uncertainty.2)The results show that in addition to the choice of interpolation method, the density of sampling points and the set of parameters in number, the interpolation method and the scope and degree of spatial autocorrelation are all factors that affect the precision.3)The spatial distribution characteristics of soil moisture content in the transition from Longmen Mountain to Chengdu plain can be seen from the effect of interpolation, which is the mountains in northwest is more than southeast Plain and the soil moisture content around town less than it's surrounding land.According to the spatial and temporal distribution of soil moisture content, the corresponding agricultural activities can be arranged.

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备注/Memo

备注/Memo:
收稿日期:2017-09-12 接受日期:2018-06-04
基金项目:国家自然科学基金(41371125)和教育部人文社科研究规划基金(17YJA850007)
*通信作者简介:彭文甫(1964—),男,副教授,主要从事环境遥感的研究,E-mail:pwfzh@126.com
更新日期/Last Update: 2019-07-15