Estimating thermal conductivity of frozen soils from air‐filled porosity
dc.contributor.author | Tian, Zhengchao | |
dc.contributor.author | Ren, Tusheng | |
dc.contributor.author | Horton, Robert | |
dc.contributor.author | Heitman, Joshua | |
dc.contributor.author | Horton, Robert | |
dc.contributor.department | Agronomy | |
dc.date | 2020-06-02T17:34:06.000 | |
dc.date.accessioned | 2020-06-29T23:06:55Z | |
dc.date.available | 2020-06-29T23:06:55Z | |
dc.date.copyright | Wed Jan 01 00:00:00 UTC 2020 | |
dc.date.embargo | 2021-05-25 | |
dc.date.issued | 2020-05-25 | |
dc.description.abstract | <p>Soil thermal conductivity (λ) is an important thermal property for environmental, agricultural, and engineering heat transfer applications. Existing λ models for frozen soils are complicated to use because they require estimates of both liquid water content and ice content. This study introduces a new approach to estimate λ of partially frozen soils from air‐filled porosity (<em>n </em>a), which can be determined by using an oven‐drying method. A λ and <em>n </em>a relationship was established based on measurements for 28 partially frozen soils. A strong exponential relationship between λ and <em>n </em>a was found (with R2 of 0.82). Independent tests on 10 partially frozen soils showed that the exponential λ‐<em>n </em>a model produced reliable λ estimates with a RMSE of 0.319 W m−1 K−1, which was smaller than those of two widely used λ models for partially frozen soils. The λ‐<em>n </em>a model is easier to use than existing models, because it requires fewer parameters. Note that the λ‐<em>n </em>a model ignores the effect of temperature on λ of frozen soils and is most applicable to soil at temperatures ≤ ‐4°C.</p> | |
dc.description.comments | <p>This is a manuscript of an article published as Tian, Zhengchao, Tusheng Ren, Joshua L. Heitman, and Robert Horton. "Estimating thermal conductivity of frozen soils from air‐filled porosity." <em>Soil Science Society of America Journal </em>(2020). doi: <a href="https://doi.org/10.1002/saj2.20102">10.1002/saj2.20102</a>. Posted with permission.</p> | |
dc.format.mimetype | application/pdf | |
dc.identifier | archive/lib.dr.iastate.edu/agron_pubs/659/ | |
dc.identifier.articleid | 1706 | |
dc.identifier.contextkey | 17934952 | |
dc.identifier.s3bucket | isulib-bepress-aws-west | |
dc.identifier.submissionpath | agron_pubs/659 | |
dc.identifier.uri | https://dr.lib.iastate.edu/handle/20.500.12876/5033 | |
dc.language.iso | en | |
dc.source.bitstream | archive/lib.dr.iastate.edu/agron_pubs/659/2020_Horton_EstimatingThermalManuscript.pdf|||Sat Jan 15 01:24:51 UTC 2022 | |
dc.source.uri | 10.1002/saj2.20102 | |
dc.subject.disciplines | Soil Science | |
dc.subject.disciplines | Statistical Models | |
dc.title | Estimating thermal conductivity of frozen soils from air‐filled porosity | |
dc.type | article | |
dc.type.genre | article | |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | d3fb0917-6868-417e-9695-a010896cfafa | |
relation.isOrgUnitOfPublication | fdd5c06c-bdbe-469c-a38e-51e664fece7a |
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