Arctic geohazard mapping tools for civil infrastructure planning: A systematic review

Arctic geohazard mapping tools for civil infrastructure planning: A systematic review
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DOI:
10.1016/j.coldregions.2023.103969
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发表时间:
2023-07
影响因子:
4.1
通讯作者:
Ziyi Wang;Ming Xiao;Min Liew;Anne Jensen;L. Farquharson;V. Romanovsky;D. Nicolsky;Christopher McComb-Ch
Ziyi Wang;Ming Xiao;Min Liew;Anne Jensen;L. Farquharson;V. Romanovsky;D. Nicolsky;Christopher McComb-Ch
中科院分区:
工程技术3区
文献类型:
--
作者:
Ziyi Wang;Ming Xiao;Min Liew;Anne Jensen;L. Farquharson;V. Romanovsky;D. Nicolsky;Christopher McComb-Ch

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Civil engineers design buildings, roads, and utility pipelines in the Arctic to rest on firm frozen ground. But as permafrost thaws due to increased air temperature, the ground subsides and infrastructure fails. This paper assesses the current tools used for mapping Arctic geohazard for civil infrastructure planning in the warming Arctic. We formulate an integrated framework to inform science-based decisions and policymaking in response to the ongoing environmental changes. This study first conducts a systematic review of the Arctic geohazard mapping tools. Tools used for Arctic geohazard mapping fall into three categories: analytical or statistical equations for geohazard assessment, modeling approaches for predicting the extent of permafrost degradation, and remote and in-situ sensing for monitoring the natural and built environments and data collection. A description of these tools, along with their limitations and applicability, is provided. Co-production of knowledge is important in developing a robust geohazard assessment tool. Based on the scientific and gray literature, however, we find that the literature of the use of knowledge co-production in the development of evaluation tools outside of health care and public governance is highly sparse. Through the review of Arctic geohazard mapping tools, we provide an integrated framework for Arctic high spatial-resolution multi-geohazards evaluation for civil infrastructure planning. Indigenous knowledge and local observations are included in the proposed framework.