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	基于介电特性的土壤盐渍化实时检测研究及系统实现
其他题名	Research on Real-time Detection about Soil Salinization Based on Dielectric Properties
	池涛; 曹广溥; 李丙春; 孜克尔·阿不都热合曼; 王文龙
来源期刊	沈阳农业大学学报
ISSN	1000-1700
出版年	2018
卷号	49 期号:4 页码:491-497
中文摘要	土壤盐渍化是一种常见的土壤退化现象,尤其中国西部干旱、半干旱地区土壤盐渍化情况非常普遍,严重影响了当地生态环境。传统土壤盐渍化检测方法没有考虑到土壤含盐量、含水量之间复杂的耦合关系,所以无法达到预期的检测精度,更没有实现到实际应用之中。为了高效精确的检测土壤盐渍化程度,减少土壤水分对检测精度的影响,设计了一种基于土壤介电特性下土壤盐渍化实时检测系统,由正弦波信号发生模块、探针及信号处理模块和信号放大检测模块组成。通过检测极化信号的幅值差与相位差作为土壤盐渍化检测的影响因子,探究了土壤水盐含量与极化信号幅值差、相位差的相关关系,并建立预测土壤盐渍化程度的经验公式。分析结果表明:极化信号幅值差US与土壤盐渍化程度相关性为0.536,与土壤干旱程度相关性为0.68,均达到显著性相关,极化信号相位差alpha与土壤盐渍化程度相关性为0.147,基本不相关,而与土壤干旱程度相关性为0.976,达到显著性相关。使用多元线性回归方法可以建立土壤干旱程度与幅值差US、相位差alpha的映射方程,精确度为95.8%。通过观察检测数据规律,建立土壤含盐量与幅值差US、相位差alpha的经验方程,在土壤盐渍化程度分级精度要求下,实现了75%预测精度要求。与传统四电极土壤盐分检测设备相比,检测精度从55%提高到70%,满足了土壤盐渍化程度的测量要求。
英文摘要	Soil salinization is a common phenomenon of soil degradation, especially in arid and semi-arid areas in the west part of China, and severely disrupts local ecological environment. Because all of the traditional soil salinization detection methods have not considered the complex coupling relationships between the soil salinity and the water content, so it is impossible to obtain the desired results in the practical applications. In order to detect the degree of soil salinization efficiently and reduce the influence of soil moisture on the detection accuracy, a real-time detection system for soil salinization has been is designed based on the dielectric properties of soil, where the amplitude and phase of sensing signals were are used as the influence factors of soil water and salinity. Our system could can explore the correlation of soil water and salinity with the amplitude and phase of induction signal, and then establish empirical formulas for predicting the soil salinization and the drought degree. In the experiments of dielectric constant inversion, the correlations between the soil permittivity and the soil water/salt content were is analyzed. The results showed that the correlation between the amplitude difference and the degree of soil salinization wasis 0.536, the correlation between the amplitude difference and the soil drought degree wais 0.68, the correlation between the phase difference of induction signal and the soil salinization wais 0.147, the correlation between the phase difference of induction signal and the soil drought degree wais 0.976. Using multiple linear regression method,the mapping equation of soil drought degree and amplitude difference US /phase difference alpha wais established, and the accuracy wais 95.8%. By observing the detection data, the empirical equation of soil salt content and amplitude difference US /phase difference alpha wais established. Under the requirement of soil salinization degree classification precision, the 75% prediction precision wais realized. Comparing with traditional soil salinization detection methods, the detection precision increased from 55% to 70% , and our system could an meet the test requirements of soil water and salt content.
中文关键词	介电特性 ; 极化信号 ; 实时检测系统 ; 土壤盐渍化分级
英文关键词	dielectric properties polarization signal real-time detection system soil salinity classification
类型	Article
语种	中文
国家	中国
收录类别	CSCD
WOS类目	Automation & Control Systems
WOS研究方向	Automation & Control Systems
CSCD记录号	CSCD:6312312
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/238064
作者单位	池涛, 上海海洋大学信息学院;;农业部渔业信息重点实验室, ;;农业部渔业信息重点实验室, ;;, 上海;;上海 201306;;201306, 中国.; 曹广溥, 上海海洋大学信息学院;;农业部渔业信息重点实验室, ;;农业部渔业信息重点实验室, ;;, 上海;;上海 201306;;201306, 中国.; 李丙春, 喀什大学计算机科学技术学院, 喀什, 新疆 844006, 中国.; 孜克尔·阿不都热合曼, 喀什大学计算机科学技术学院, 喀什, 新疆 844006, 中国.; 王文龙, 喀什大学计算机科学技术学院, 喀什, 新疆 844006, 中国.
推荐引用方式 GB/T 7714	池涛,曹广溥,李丙春,等. 基于介电特性的土壤盐渍化实时检测研究及系统实现[J],2018,49(4):491-497.
APA	池涛,曹广溥,李丙春,孜克尔·阿不都热合曼,&王文龙.(2018).基于介电特性的土壤盐渍化实时检测研究及系统实现.沈阳农业大学学报,49(4),491-497.
MLA	池涛,et al."基于介电特性的土壤盐渍化实时检测研究及系统实现".沈阳农业大学学报 49.4(2018):491-497.