A 2D Moving Mesh Finite Element Analysis of Heat Transfer in Arctic Soils

Author:

Wilber MichelleORCID,Hailu GetuORCID

Abstract

Accurate soil heat transfer models are needed to predict and adapt to a warming arctic. A numerical model to accurately predict temperatures and thaw depths in soils, both with depth and with horizontal distance from features such as cliffs, was developed in Matlab using the finite element method. The model was validated against analytical solutions to simple versions of the problem and experimental temperature data from borehole thermistor strings on the north shore of Alaska. The current model is most useful for short term (on the order of days) predictions of thaw depth and near surface temperatures in homogeneous soils with existing data to allow the calibration of soil thermal parameters. These are exactly the time scales and capabilities that would integrate well with erosional models to predict the erosion during storm events and summer thaw conditions. Comparisons with analytical solutions show the model to be fairly accurate in predictions of temperatures thaw-depth and temperatures, within about 0.25 °C and 0.02 m respectively, for reasonable arctic soil parameters. Differences between predicted temperatures and thaw-depth against borehole data from Barter Island, Alaska are within about 1 °C and 0.5 m respectively. Comparison to commercial software, which does not directly track and move the phase change boundary, shows that this moving-mesh model has much better agreement. The model developed in this work is flexible and can be modified to model a wide variety of problems, but is efficiently set up to take a surface and thaw-boundary profile (not necessarily horizontal) and use soil parameters and surface boundary conditions appropriate to Arctic regions. It has been verified to appropriately model cliffs, which are particularly vulnerable to erosion.

Publisher

MDPI AG

Subject

Building and Construction

Reference18 articles.

1. Stocker, T.F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. (2013). Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press.

2. Modeling erosion of ice-rich permafrost bluffs along the Alaskan Beaufort Seacoast;Barnhart;J. Geophys. Res. Earth Surf.,2014

3. Zottola, J. (2016). Feasibility of Thermosyphons to Impede the Progress of Coastal Permafrost Erosion Along the Northern Coastline of Alaska. [Master’s Thesis, University of Alaska].

4. Anchor ice, seabed freezing, and sediment dynamics in shallow Arctic Seas;Reimnitz;J. Geophys. Res. Ocean.,1987

5. Ravens, T., Hailu, G., Peng, J., Ulmgren, M., and Wilber, M. (2017, January 18–21). Arctic-capable coastal geomorphic change modeling with application to Barter Island, Alaska. Proceedings of the Oceans 17 Conference MTS/IEEE, Anchorage, AK, USA. Available online: http://www.oceans17mtsieeeanchorage.org.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3