| 时域反射仪（TDR）测定土壤含水量标定曲线评价与方案推荐 |
| |
| 引用本文： | 徐玲玲,高彩虹,王佳铭,金会军,吴青柏,DYCK Miles,何海龙.时域反射仪（TDR）测定土壤含水量标定曲线评价与方案推荐[J].冰川冻土,2020,42(1):265-275. |
| |
| 作者姓名： | 徐玲玲 高彩虹 王佳铭 金会军 吴青柏 DYCK Miles 何海龙 |
| |
| 作者单位： | 1.西北农林科技大学 资源环境学院 旱区农业水土工程教育部重点实验室，陕西 杨凌 712100;2.中国科学院 西北生态环境资源研究院 冻土工程国家重点实验室，甘肃 兰州 730000;3.University of Alberta，Edmonton AB T6G 2E3，Canada |
| |
| 基金项目： | 国家自然科学基金项目(41501231);陕西省自然科学基金项目(2016JQ4008);西北农林科技大学青年英才培育计划;冻土工程国家重点实验室开放基金项目(SKLFSE201503);高等学校学科创新引智计划(B12007) |
| |
| 摘 要： | 时域反射仪（Time Domain Reflectometry）可用于室内和田间快速、 准确、 自动测定土壤含水量， 是目前应用最广泛的土壤含水量测定方法之一。适宜的土壤含水量标定曲线（即土壤表观介电常数和土壤含水量之间的关系）是TDR准确测定土壤含水量的关键。目前文献中存在大量的土壤含水量标定曲线， 但尚未有研究对这些标定曲线进行系统的验证和分析评价。因此， 它们的准确性和适用范围尚不明晰， 严重影响到与土壤含水量测定相关的研究。通过查阅大量国内外文献， 收集整理了一系列土壤含水量标定曲线的经验公式（19个）和半经验半物理模型（5个）， 并利用大量的文献实测数据对其进行综合评价。同时运用均方根差（RMSE）， 平均误差（AD）， 纳什效率系数（NSE）等三个指标对比分析和评价这些标定曲线的准确性和可靠性。研究结果表明： 经验公式中Topp、 Roth（1992）2、 Jacobosen、 Yoshikawa2、 Alharathi模型和半经验模型中Malicki1公式及其修订模型综合性能较好。研究成果可为利用TDR准确测定土壤含水量及土壤含水量标定曲线的选择提供参考和指导。
|
| 关 键 词： | 时域反射仪（TDR） 土壤含水量标定曲线 土壤含水量 经验公式/模型 半经验公式/模型 |
| 收稿时间： | 2019-04-22 |
| 修稿时间： | 2020-04-08 |
Evaluation and analysis of TDR calibration curves for soil water content measurement |
| |
| Lingling XU,Caihong GAO,Jiaming WANG,Huijun JIN,Qingbai WU,Miles DYCK,Hailong HE.Evaluation and analysis of TDR calibration curves for soil water content measurement[J].Journal of Glaciology and Geocryology,2020,42(1):265-275. |
| |
| Authors: | Lingling XU Caihong GAO Jiaming WANG Huijun JIN Qingbai WU Miles DYCK Hailong HE |
| |
| Institution: | 1.Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas，Ministry of Education，College of Natural Resources and Environment，Northwest A & F University，Yangling 712100，Shaanxi，China;2.State Key Laboratory of Frozen Soil Engineering，Northwest Institute of Eco-Environment and Resources，Chinese Academy of Sciences，Lanzhou 730000，China;3.University of Alberta，Edmonton AB T6G 2E3，Canada |
| |
| Abstract: | As a rapid， accurate and economic way for measuring soil water content， time domain reflectometry （TDR） has been widely used around the world. Appropriate TDR calibration curve （i.e.， the relationship between the soil apparent dielectric constant and soil water content） is critical for the accurate measurement of soil water content. At present， many TDR calibration curves are available in literature and the accuracy of the soil water measurement is largely determined by the choice of TDR calibration curves. However， no study attempted to systematically verify or assess their performance. The objectives of the study were therefore to collect the available empirical and semi-empirical formulas in literature， and evaluate them with a compiled high quality literature data. A total of 19 empirical models and 5 semi-empirical models were collated. Their performances were evaluated by three indices including the root mean squared error （RMSE）， average deviation （AD）， and NSE. The result showed that the formulas of Jacobsen， Topp， Roth（1992）2， Jacobosen， Yoshikawa2， Alharathi and four Malicki functions have the best performance based on NSE， AD and RMSE indices. Because of the nature of empirical models， empirical and semi-empirical TDR calibration curves can only be used for certain types of soils tested. The reader are encouraged to test or establish new calibration curves using the recommended calibration curves with new parameters for soils not mentioned in this study. The result of this study will contribute to the appropriate selection of TDR calibration curves for accurate measurement of soil water content. |
| |
| Keywords: | time domain reflectometry （TDR） water content calibration curve soil water content empirical model semi-empirical model |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《冰川冻土》浏览原始摘要信息 |
| 点击此处可从《冰川冻土》下载免费的PDF全文 |
