Application of distributed temperature sensing for mountain permafrost mapping

Permafrost distribution in mountains is typically more heterogeneous relative to low‐relief environments due to greater variability in the factors controlling the ground thermal regime, such as topography, snow depth, and sediment grain size (e.g., coarse blocks). Measuring and understanding the geo...

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Published in:Permafrost and Periglacial Processes
Main Authors: Jordan S. Harrington, Masaki Hayashi
Format: Article in Journal/Newspaper
Language:unknown
Subjects:
Online Access:https://doi.org/10.1002/ppp.1997
id ftrepec:oai:RePEc:wly:perpro:v:30:y:2019:i:2:p:113-120
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spelling ftrepec:oai:RePEc:wly:perpro:v:30:y:2019:i:2:p:113-120 2023-05-15T17:55:41+02:00 Application of distributed temperature sensing for mountain permafrost mapping Jordan S. Harrington Masaki Hayashi https://doi.org/10.1002/ppp.1997 unknown https://doi.org/10.1002/ppp.1997 article ftrepec https://doi.org/10.1002/ppp.1997 2020-12-04T13:31:03Z Permafrost distribution in mountains is typically more heterogeneous relative to low‐relief environments due to greater variability in the factors controlling the ground thermal regime, such as topography, snow depth, and sediment grain size (e.g., coarse blocks). Measuring and understanding the geothermal variability in high mountains remains challenging due to logistical constraints. This study presents one of the first applications of distributed temperature sensing (DTS) in periglacial environments to measure ground surface temperatures in a mountain permafrost area at much higher spatial resolution than possible with conventional methods using discrete temperature sensors. DTS measures temperature along a fibre‐optic cable at high spatial resolution (i.e., ≤ 1 m). Its use can be limited by power supply and calibration requirements, although recent methodological developments have relaxed some of these restrictions. Spatially continuous DTS measurements at a studied rock glacier provided greater resolution of geothermal variability and facilitated the interpretation of bottom temperature of snowpack data to map patchy permafrost distribution. This research highlights the potential for DTS to be a useful tool for permafrost mapping, ground thermal regime interpretation, conceptual geothermal model development, and numerical model evaluation in areas of heterogeneous mountain permafrost. Article in Journal/Newspaper permafrost RePEc (Research Papers in Economics) Permafrost and Periglacial Processes 30 2 113 120
institution Open Polar
collection RePEc (Research Papers in Economics)
op_collection_id ftrepec
language unknown
description Permafrost distribution in mountains is typically more heterogeneous relative to low‐relief environments due to greater variability in the factors controlling the ground thermal regime, such as topography, snow depth, and sediment grain size (e.g., coarse blocks). Measuring and understanding the geothermal variability in high mountains remains challenging due to logistical constraints. This study presents one of the first applications of distributed temperature sensing (DTS) in periglacial environments to measure ground surface temperatures in a mountain permafrost area at much higher spatial resolution than possible with conventional methods using discrete temperature sensors. DTS measures temperature along a fibre‐optic cable at high spatial resolution (i.e., ≤ 1 m). Its use can be limited by power supply and calibration requirements, although recent methodological developments have relaxed some of these restrictions. Spatially continuous DTS measurements at a studied rock glacier provided greater resolution of geothermal variability and facilitated the interpretation of bottom temperature of snowpack data to map patchy permafrost distribution. This research highlights the potential for DTS to be a useful tool for permafrost mapping, ground thermal regime interpretation, conceptual geothermal model development, and numerical model evaluation in areas of heterogeneous mountain permafrost.
format Article in Journal/Newspaper
author Jordan S. Harrington
Masaki Hayashi
spellingShingle Jordan S. Harrington
Masaki Hayashi
Application of distributed temperature sensing for mountain permafrost mapping
author_facet Jordan S. Harrington
Masaki Hayashi
author_sort Jordan S. Harrington
title Application of distributed temperature sensing for mountain permafrost mapping
title_short Application of distributed temperature sensing for mountain permafrost mapping
title_full Application of distributed temperature sensing for mountain permafrost mapping
title_fullStr Application of distributed temperature sensing for mountain permafrost mapping
title_full_unstemmed Application of distributed temperature sensing for mountain permafrost mapping
title_sort application of distributed temperature sensing for mountain permafrost mapping
url https://doi.org/10.1002/ppp.1997
genre permafrost
genre_facet permafrost
op_relation https://doi.org/10.1002/ppp.1997
op_doi https://doi.org/10.1002/ppp.1997
container_title Permafrost and Periglacial Processes
container_volume 30
container_issue 2
container_start_page 113
op_container_end_page 120
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