Modeling Heat Transfer through Permafrost Soil Subjected to Seasonal Freeze-Thaw

The present paper proposes an iterative implicit numerical method for simulating the thaw depth of permafrost soil. For this purpose, the enthalpy-porosity model was used for the phase change process, and the finite difference scheme FTCS (Forward Time Centered Space) was used for discretization. An...

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Published in:Land
Main Authors: Alain Lubini Tshumuka, Abdelkader Krimi, Musandji Fuamba
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2022
Subjects:
Online Access:https://doi.org/10.3390/land11101770
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author Alain Lubini Tshumuka
Abdelkader Krimi
Musandji Fuamba
author_facet Alain Lubini Tshumuka
Abdelkader Krimi
Musandji Fuamba
author_sort Alain Lubini Tshumuka
collection MDPI Open Access Publishing
container_issue 10
container_start_page 1770
container_title Land
container_volume 11
description The present paper proposes an iterative implicit numerical method for simulating the thaw depth of permafrost soil. For this purpose, the enthalpy-porosity model was used for the phase change process, and the finite difference scheme FTCS (Forward Time Centered Space) was used for discretization. An artificial mushy zone was maintained with the same thickness by keeping the regularization parameter proportional to the temperature gradient. In doing so, we made the scheme more stable and convergence occurred faster. The model accuracy was validated by comparing the numerical results with the analytical Stefan solution and with the results of a derived numerical model, based on an explicit scheme. The model performance was also tested against observation data collected on four different landscapes with different soil profiles and located on a basin underlain by continuous permafrost. It was found that the proposed model matched noticeably well the analytical solution for a volumetric liquid fraction (phi) equal to 0.5 regardless of the grid resolution. Furthermore, compared with the observation data, the model reproduced the annual maximum thaw depth with an absolute error lying between 0.7 and 7.7%. In addition, the designed algorithm allowed the model to converge after a maximum of eight iterations, reducing the computational time by around 75% compared to the explicit model. The results were so encouraging that the model can be included in a hydrological modeling of permafrost watersheds or cold regions in general.
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genre permafrost
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op_doi https://doi.org/10.3390/land11101770
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op_source Land; Volume 11; Issue 10; Pages: 1770
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spelling ftmdpi:oai:mdpi.com:/2073-445X/11/10/1770/ 2025-01-17T00:14:30+00:00 Modeling Heat Transfer through Permafrost Soil Subjected to Seasonal Freeze-Thaw Alain Lubini Tshumuka Abdelkader Krimi Musandji Fuamba agris 2022-10-12 application/pdf https://doi.org/10.3390/land11101770 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/land11101770 https://creativecommons.org/licenses/by/4.0/ Land; Volume 11; Issue 10; Pages: 1770 Stefan problem permafrost active layer finite difference iterative method thaw depth Text 2022 ftmdpi https://doi.org/10.3390/land11101770 2023-08-01T06:50:55Z The present paper proposes an iterative implicit numerical method for simulating the thaw depth of permafrost soil. For this purpose, the enthalpy-porosity model was used for the phase change process, and the finite difference scheme FTCS (Forward Time Centered Space) was used for discretization. An artificial mushy zone was maintained with the same thickness by keeping the regularization parameter proportional to the temperature gradient. In doing so, we made the scheme more stable and convergence occurred faster. The model accuracy was validated by comparing the numerical results with the analytical Stefan solution and with the results of a derived numerical model, based on an explicit scheme. The model performance was also tested against observation data collected on four different landscapes with different soil profiles and located on a basin underlain by continuous permafrost. It was found that the proposed model matched noticeably well the analytical solution for a volumetric liquid fraction (phi) equal to 0.5 regardless of the grid resolution. Furthermore, compared with the observation data, the model reproduced the annual maximum thaw depth with an absolute error lying between 0.7 and 7.7%. In addition, the designed algorithm allowed the model to converge after a maximum of eight iterations, reducing the computational time by around 75% compared to the explicit model. The results were so encouraging that the model can be included in a hydrological modeling of permafrost watersheds or cold regions in general. Text permafrost MDPI Open Access Publishing Land 11 10 1770
spellingShingle Stefan problem
permafrost
active layer
finite difference
iterative method
thaw depth
Alain Lubini Tshumuka
Abdelkader Krimi
Musandji Fuamba
Modeling Heat Transfer through Permafrost Soil Subjected to Seasonal Freeze-Thaw
title Modeling Heat Transfer through Permafrost Soil Subjected to Seasonal Freeze-Thaw
title_full Modeling Heat Transfer through Permafrost Soil Subjected to Seasonal Freeze-Thaw
title_fullStr Modeling Heat Transfer through Permafrost Soil Subjected to Seasonal Freeze-Thaw
title_full_unstemmed Modeling Heat Transfer through Permafrost Soil Subjected to Seasonal Freeze-Thaw
title_short Modeling Heat Transfer through Permafrost Soil Subjected to Seasonal Freeze-Thaw
title_sort modeling heat transfer through permafrost soil subjected to seasonal freeze-thaw
topic Stefan problem
permafrost
active layer
finite difference
iterative method
thaw depth
topic_facet Stefan problem
permafrost
active layer
finite difference
iterative method
thaw depth
url https://doi.org/10.3390/land11101770