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DOI10.1016/j.geoderma.2021.115207
Evaluation of 14 frozen soil thermal conductivity models with observations and SHAW model simulations
He, Hailong; Flerchinger, Gerald N.; Kojima, Yuki; He, Dong; Hardegree, Stuart P.; Dyck, Miles F.; Horton, Robert; Wu, Qingbai; Si, Bingcheng; Lv, Jialong; Wang, Jinxin
发表日期2021
ISSN0016-7061
EISSN1872-6259
卷号403
英文摘要Frozen soil thermal conductivity (FSTC, lambda(eff)) is a critical thermophysical property that is required for a variety of science and engineering applications. Measurements of lambda(eff) in frozen soils are prone to errors because the currently available thermal methods result in phase change (i.e., thawing and refreezing of ice) that affects the estimated lambda(eff), especially near the freezing point of soil water (e.g., 4 to 0 degrees C) where rapid phase change occurs. In addition, measured lambda(eff) data are few compared to other physical properties. Therefore, many FSTC algorithms have been developed and a few of them have been incorporated in numerical simulation programs for calculating lambda(eff). However, large discrepancies between simulated and observed soil thermal regimes have been reported. Previous studies either evaluated the performance of a few FSTC algorithms with limited.eff or simply compared the performance of the algorithms in numerical simulation programs. No study has been performed to systematically assess the performance of the FSTC algorithms included in numerical simulation programs with both observations and model simulations. In this study, 14 FSTC algorithms incorporated in various numerical simulation programs were evaluated with a compiled dataset consisting of 331.eff measurements on 27 soils from seven studies made at temperatures on or below -4 degrees C. The Becker 1992 algorithm provided the best estimates of the lambda(eff) measurements, but the accuracy of the estimates was not good (i.e., RMSE = 0.46 W m(-1)degrees C-1, Bias = -0.04 W m(-1)degrees C-1 and NSE = 0.51). These FSTC algorithms were also incorporated in the Simultaneous Heat and Water (SHAW) model to compare their effects on the simulating soil temperature and water content at two field sites with contrasting soil textures in USA. The simulation results showed that the average bias of simulated and observed soil temperature for all depths ranged from -2.2 to 2.8 degrees C and the average differences of liquid water content ranged from -0.08 to 0.1 cm(3) cm(-3). Generally no FSTC algorithm combined with the SHAW model satisfactorily estimated the dynamic soil thermal regime. Perspectives on future studies are discussed.
英文关键词Frozen soil thermal conductivity algorithms; SHAW model; Performance evaluation; Liquid water content; Ice content
语种英语
WOS研究方向Agriculture
WOS类目Soil Science
WOS关键词LAND-SURFACE SCHEME ; WATER-CONTENT ; GERMINATION RESPONSE ; PARAMETER-ESTIMATION ; SIMULTANEOUS HEAT ; VEGETATION COVER ; NUMERICAL-MODEL ; MOISTURE ; TEMPERATURE ; UNFROZEN
WOS记录号WOS:000671591200012
来源期刊GEODERMA
来源机构中国科学院西北生态环境资源研究院
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/240321
作者单位[He, Hailong; Lv, Jialong; Wang, Jinxin] Northwest A&F Univ, Coll Nat Resources & Environm, Yangling 712100, Shaanxi, Peoples R China; [He, Hailong; He, Dong] Northwest A&F Univ, Key Lab Agr Soil & Water Engn Arid & Semiarid Are, Minist Educ, Yangling 712100, Shaanxi, Peoples R China; [Flerchinger, Gerald N.; Hardegree, Stuart P.] USDA ARS, Northwest Watershed Res Ctr, Boise, ID 83712 USA; [Kojima, Yuki] Gifu Univ, Dept Civil Engn, 1-1 Yanagido, Gifu, Gifu 5011193, Japan; [Dyck, Miles F.] Univ Alberta, Dept Renewable Resources, Edmonton, AB T6G 2H1, Canada; [Horton, Robert] Iowa State Univ, Dept Agron, Ames, IA USA; [Wu, Qingbai] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Frozen Soil Engn, Lanzhou, Gansu, Peoples R China; [Si, Bingcheng] Univ Saskatchewan, Dept Soil Sci, Saskatoon, SK, Canada; [Lv, Jialong; Wang, Jinxin] Northwest A&F Univ, Minist Agr, Key Lab Plant Nutr & Agrienvironm Northwest China, Yangling 712100, Shaanxi, Peoples R China
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He, Hailong,Flerchinger, Gerald N.,Kojima, Yuki,et al. Evaluation of 14 frozen soil thermal conductivity models with observations and SHAW model simulations[J]. 中国科学院西北生态环境资源研究院,2021,403.
APA He, Hailong.,Flerchinger, Gerald N..,Kojima, Yuki.,He, Dong.,Hardegree, Stuart P..,...&Wang, Jinxin.(2021).Evaluation of 14 frozen soil thermal conductivity models with observations and SHAW model simulations.GEODERMA,403.
MLA He, Hailong,et al."Evaluation of 14 frozen soil thermal conductivity models with observations and SHAW model simulations".GEODERMA 403(2021).
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