基于电阻率成像技术的土层精细划分

张平松; 欧元超; 汪武; 李建宁

doi:10.13870/j.cnki.stbcxb.2018.03.053

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基于电阻率成像技术的土层精细划分

更新时间：2025-03-12

- 基于电阻率成像技术的土层精细划分
- Experimental Study on the Accurate Division of Soil Layers Based on Resistivity Imaging
- 水土保持学报 2018年32卷第3期页码：352-357
- 作者机构：
  
  安徽理工大学地球与环境学院,安徽,淮南,232001
- 作者简介：
  
  [ "张平松(1971-),男,教授,博士生导师,主要从事地球物理探测技术教学与研究。E-mail:pszhang@sohu.com" ]
- 基金信息：
  
  国家重点研发计划项目（2016YFC0600900）国家自然科学基金项目（41172137）安徽省高校学科（专业）拔尖人才学术资助重点项目（gxbjZD2016048）
- DOI：10.13870/j.cnki.stbcxb.2018.03.053
  中图分类号：
- 纸质出版：2018
- 稿件说明：
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张平松, 欧元超, 汪武, 等. 基于电阻率成像技术的土层精细划分[J]. 水土保持学报, 2018,32(3):352-357.

ZHANG Pingsong, OU Yuanchao, WANG Wu, et al. Experimental Study on the Accurate Division of Soil Layers Based on Resistivity Imaging[J]. 2018, 32(3): 352-357.
张平松, 欧元超, 汪武, 等. 基于电阻率成像技术的土层精细划分[J]. 水土保持学报, 2018,32(3):352-357. DOI： 10.13870/j.cnki.stbcxb.2018.03.053.

ZHANG Pingsong, OU Yuanchao, WANG Wu, et al. Experimental Study on the Accurate Division of Soil Layers Based on Resistivity Imaging[J]. 2018, 32(3): 352-357. DOI： 10.13870/j.cnki.stbcxb.2018.03.053.

摘要

土壤层次的精确划分关系到土壤学相关研究结果的精确程度。为对田间尺度上层状土壤进行无损精细分层，采用电阻率成像技术，同时结合电阻率曲线纵向上的变化特征精细划分土壤层次，并将精细分层结果应用于层状土壤电阻率空间变异性研究。结果表明：运用电阻率曲线法对反演电阻率数据进行精细划分后，形成结果图能很好的满足研究过程中可视化呈现及精细化表达等需要；根据温纳四极反演电阻率曲线法将研究区内的剖面浅层土壤划分为5—13，13—24，24—50，50—70 cm 4个层次；5—13 cm （耕作层）电阻率值的变异系数最高（0.28），13—24 cm （犁底层）平均电阻率值最低（17.35 Ω·m）。研究成果可为土壤水文学和精准农业等相关研究提供技术支撑。

Abstract

Layered soil medium is a commonly existed soil layer structure. The accurate division of soil layers determines the accuracy of related researches on soil science. Therefore

it is of practical significance to study the techniques of fine soil layering. In order to classify the upper soil non-destructively in the field scale

the resistivity imaging technology was used. Based on the changes of the resistivity curve longitudinally

the stratification results were adopted to study the spatial variability of the soil resistivity. Results showed that:After finely classifying resistivity data using resistivity curve method

the result map could meet the need of visualization and fine expression in the research process. Using the Wenner quadrupole inversion resistivity curve method

the shallow soil in the research area were divided into four layers

including 5-13

13-24

24-50 and 50-70 cm

the prediction value and actual value were closest. I was found that the coefficient of variation of 5-13 cm (plough layer) was the highest (0.28) and the average resistivity value at 13-24 cm (plow bottom layer) was the lowest (17.35 Ω·m). The results conformed to the actual soil conditions in the test area

through this method

the soil condition could be obtained accurately

quickly and even non-destructively. The findings attained in this research provided technical support for the research on accurate agriculture and preferential flow of soil fracture.

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