| 引用本文: | 徐兴倩,王海军,屈 新,等.土壤介电常数模型研究综述[J].灌溉排水学报,2024,43(3):61-70. |
| XU Xingqian,WANG Haijun,QU Xin,et al.土壤介电常数模型研究综述[J].灌溉排水学报,2024,43(3):61-70. |
|
| 摘要: |
| 【目的】调查影响土壤介电常数的主控因子，归纳分析土壤介电常数模型的研究现状。【方法】从土壤介电理论出发，系统梳理土壤介电常数的主要影响因素，对现有土壤介电常数模型进行分类总结，并对比分析各模型的优势、局限和应用现状及其发展趋势。【结果】国内外不同土壤类型的介电常数主控影响因素各异，且对测试频率的依赖性较大，但能有效反映土壤的水分状态；土壤介电常数模型分为四类：理论模型、半经验理论模型、经验模型和边界模型。【结论】目前针对区域性特殊土类的介电特性及模型构建研究较少；考虑土壤三相组比、矿物成分和微观结构对介电常数的贡献度将有助于提升模型精度，进而拓展基于介电常数测试的土壤理化性质评价分析方面的应用研究。 |
| 关键词: 土壤；含水率；电磁波；介电常数；模型 |
| DOI：10.13522/j.cnki.ggps.2023380 |
| 分类号: |
| 基金项目: |
|
| Study on soil dielectric constant models: A review |
|
XU Xingqian, WANG Haijun, QU Xin, PENG Guangcan, ZHAO Xi
|
|
1. College of Water Conservancy, Yunnan Agricultural University, Kunming 650201, China;
2. School of Civil and Construction Engineering, Anyang Institute of Technology, Anyang 455000, China
|
| Abstract: |
| 【Objective】Soil dielectric constant measures the ability of a soil to transmit electric fields. It is the ratio of the capacitance of a soil sample to the capacitance of air-filled space of the same volume. In this paper, we systematically analyze the factors that influence the dielectric constant, offering an updated perspective on soil dielectric constant modeling.【Method】This study systematically identifies the primary factors influencing soil dielectric constant based on soil dielectric theory. Additionally, it categorizes and summarizes existing soil dielectric constant models, facilitating a comparative analysis of their strengths, weaknesses, applications, and future development.【Result】The primary influencing factors governing the dielectric constant varied with soil types, with notable dependence on testing frequency. However, the dielectric constant remains a valuable indicator of soil water content. The soil dielectric constant models were broadly categorized into four types: theoretical, semi-empirical, empirical, and boundary models.【Conclusion】Presently, there is a dearth of research focusing on the dielectric properties and model development specific to regional soils. Enhancing model accuracy necessitates incorporating the influence of soil-phase composition, mineral composition, and microstructure on the dielectric constant. This refinement will broaden the application studies for assessing and analyzing soil physical and chemical properties based on dielectric constant testing. |
| Key words: soil; water content; electromagnetic wave; dielectric constant; model |
