Determination of Thermophysical Parameters of the Soil according to Dynamic Data on Its Temperature

IF 1.4 4区 农林科学 Q4 SOIL SCIENCE
R. Mikail, E. Hazar, E. Shein, F. Mikailsoy
{"title":"Determination of Thermophysical Parameters of the Soil according to Dynamic Data on Its Temperature","authors":"R. Mikail, E. Hazar, E. Shein, F. Mikailsoy","doi":"10.1134/s1064229323700278","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>Methods for determining the thermal diffusivity coefficient from point temperature records in soil of a given thickness have been developed. Data on the dynamics of soil temperature measured at the same depth eight times per day with an interval of 3 hours are used. The proposed methods are based on solving inverse problems of the heat transfer equation (with two harmonics on the soil surface). Experimental studies on the temperature of the layers (0, 5, 10, 15, 20, and 40 cm) of gley alluvial soil (Calcaric Gleyic Pantofluvic Fluvisol) in the Igdır region (eastern Turkey) were carried out using Elitech RC-4 sensors during the summer season. Using the obtained data, various methods were used to calculate the thermophysical properties of the soil, namely thermal conductivity, thermal diffusivity, attenuation depth, heat transfer, and heat flux. Based on statistical criteria, it has been proven that the proposed point model is the best one. It has been established that for the studied soil, the thermal diffusivity κ is 1.1035×10<sup>–6</sup> m<sup>2</sup>/s, thermal conductivity λ is 1.7612 W/(m <sup>о</sup>С), damping depth <i>d</i> is 17.42 cm, and thermal effusivity <i>e</i> is 27.9431 W h<sup>0.5</sup>/m<sup>2</sup> °C. In addition, in accordance with the model obtained, it was determined that the largest heat flux on the soil surface occurs at 12:00 pm (<i>q</i> = 106.85 W/m<sup>2</sup>), and the lowest heat flux, at 03:00 am (<i>q</i> = –64.62 W/m<sup>2</sup>).</p>","PeriodicalId":11892,"journal":{"name":"Eurasian Soil Science","volume":null,"pages":null},"PeriodicalIF":1.4000,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eurasian Soil Science","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1134/s1064229323700278","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"SOIL SCIENCE","Score":null,"Total":0}
引用次数: 0

Abstract

Methods for determining the thermal diffusivity coefficient from point temperature records in soil of a given thickness have been developed. Data on the dynamics of soil temperature measured at the same depth eight times per day with an interval of 3 hours are used. The proposed methods are based on solving inverse problems of the heat transfer equation (with two harmonics on the soil surface). Experimental studies on the temperature of the layers (0, 5, 10, 15, 20, and 40 cm) of gley alluvial soil (Calcaric Gleyic Pantofluvic Fluvisol) in the Igdır region (eastern Turkey) were carried out using Elitech RC-4 sensors during the summer season. Using the obtained data, various methods were used to calculate the thermophysical properties of the soil, namely thermal conductivity, thermal diffusivity, attenuation depth, heat transfer, and heat flux. Based on statistical criteria, it has been proven that the proposed point model is the best one. It has been established that for the studied soil, the thermal diffusivity κ is 1.1035×10–6 m2/s, thermal conductivity λ is 1.7612 W/(m оС), damping depth d is 17.42 cm, and thermal effusivity e is 27.9431 W h0.5/m2 °C. In addition, in accordance with the model obtained, it was determined that the largest heat flux on the soil surface occurs at 12:00 pm (q = 106.85 W/m2), and the lowest heat flux, at 03:00 am (q = –64.62 W/m2).

Abstract Image

根据土壤温度动态数据确定土壤热物理参数
摘要 已开发出根据给定厚度土壤中的点温度记录确定热扩散系数的方法。使用了每天在同一深度测量 8 次、间隔 3 小时的土壤温度动态数据。所提出的方法以解决传热方程的逆问题(土壤表面有两次谐波)为基础。在夏季,使用 Elitech RC-4 传感器对伊格代尔地区(土耳其东部)的格莱冲积土(钙钙格莱泛氟土壤)各层(0、5、10、15、20 和 40 厘米)的温度进行了实验研究。利用获得的数据,采用各种方法计算了土壤的热物理性质,即热导率、热扩散率、衰减深度、热传导和热通量。根据统计标准,证明所提出的点模型是最佳模型。对于所研究的土壤,热扩散率 κ 为 1.1035×10-6 m2/s,导热系数 λ 为 1.7612 W/(m оС),阻尼深度 d 为 17.42 cm,热效率 e 为 27.9431 W h0.5/m2°C。此外,根据所获得的模型,可以确定土壤表面最大的热通量出现在中午 12:00 时(q = 106.85 W/m2),最低的热通量出现在凌晨 03:00 时(q = -64.62 W/m2)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Eurasian Soil Science
Eurasian Soil Science 农林科学-土壤科学
CiteScore
2.70
自引率
35.70%
发文量
137
审稿时长
12-24 weeks
期刊介绍: Eurasian Soil Science publishes original research papers on global and regional studies discussing both theoretical and experimental problems of genesis, geography, physics, chemistry, biology, fertility, management, conservation, and remediation of soils. Special sections are devoted to current news in the life of the International and Russian soil science societies and to the history of soil sciences. Since 2000, the journal Agricultural Chemistry, the English version of the journal of the Russian Academy of Sciences Agrokhimiya, has been merged into the journal Eurasian Soil Science and is no longer published as a separate title.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信