Estimating excess ground ice in Arctic tundra landscapes by a statistical analysis of drained thermokarst lake basins - A comparison between research sites in Alaska.

Excess ice is determining the sensibility of permafrost landscapes in a warming climate. As excess ice thaws several morphodynamical processes can occur, which can change the Arctic landscape significantly. Up until now, the excess ice content is only known for small areas of the Arctic, but not Arc...

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Main Author: Schramm, Lisa
Format: Thesis
Language:unknown
Published: 2019
Subjects:
Ice
Online Access:https://epic.awi.de/id/eprint/51207/
https://epic.awi.de/id/eprint/51207/1/Masterthesis_LisaSchramm.pdf
https://hdl.handle.net/10013/epic.131bce9a-bc23-4532-aeaf-def3f3ff5c96
id ftawi:oai:epic.awi.de:51207
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spelling ftawi:oai:epic.awi.de:51207 2024-09-15T17:50:56+00:00 Estimating excess ground ice in Arctic tundra landscapes by a statistical analysis of drained thermokarst lake basins - A comparison between research sites in Alaska. Schramm, Lisa 2019-09-24 application/pdf https://epic.awi.de/id/eprint/51207/ https://epic.awi.de/id/eprint/51207/1/Masterthesis_LisaSchramm.pdf https://hdl.handle.net/10013/epic.131bce9a-bc23-4532-aeaf-def3f3ff5c96 unknown https://epic.awi.de/id/eprint/51207/1/Masterthesis_LisaSchramm.pdf Schramm, L. (2019) Estimating excess ground ice in Arctic tundra landscapes by a statistical analysis of drained thermokarst lake basins - A comparison between research sites in Alaska. , Master thesis, Institute of Geography, Catholic University of Eichstätt - Ingolstadt. hdl:10013/epic.131bce9a-bc23-4532-aeaf-def3f3ff5c96 EPIC377 p. Thesis notRev 2019 ftawi 2024-06-24T04:23:24Z Excess ice is determining the sensibility of permafrost landscapes in a warming climate. As excess ice thaws several morphodynamical processes can occur, which can change the Arctic landscape significantly. Up until now, the excess ice content is only known for small areas of the Arctic, but not Arctic wide. Mappings that cover large areas are mostly based on classifications of the land surface and are therefore not very precise. The limited amount of data about excess ice affects the precision of the modelling of the degradation of Permafrost, because it affects the sensitivity of permafrost landscapes including all biogeochemical and geophysical processes. To estimate the amount of excess ice in a landscape, differences in altitude formed by thermoerosion processes were analyzed. Height differences are formed by melting excess ice in the ground, causing subsidence. It is presumed that the content of excess ice around the thermoerosion structures is about as thick as the subsidence of the structure itself. Some factors, like erosion, slope and others, must be kept in mind when interpreting the results. The research question of the thesis is: Is it possible to make a rough estimation of the excess ice content of permafrost soil in tundra landscapes by an analysis of a digital elevation model (DEM)? The Barrow Peninsula and the Seward Peninsula, both located in Alaska, U. S., are the two research sites of this work, characterized by current thermokarst lakes and former ones, which are nowadays Drained Thermokarst Lake Basins (DTLBs). For the analysis of the basin height in comparison to the surrounding area, the Arctic DEM is used as main data resource together with data of the DTLBs. ArcGIS and R were used to calculate the height of the lakes and DTLBs and to statistically analyze the results. Various height differences and elevation distribution patterns for the two research sites were found out without a significantly related distribution pattern with the age or general elevation of the DTLBs. The discussion ... Thesis Arctic Barrow Ice permafrost Seward Peninsula Thermokarst Tundra Alaska Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center)
institution Open Polar
collection Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center)
op_collection_id ftawi
language unknown
description Excess ice is determining the sensibility of permafrost landscapes in a warming climate. As excess ice thaws several morphodynamical processes can occur, which can change the Arctic landscape significantly. Up until now, the excess ice content is only known for small areas of the Arctic, but not Arctic wide. Mappings that cover large areas are mostly based on classifications of the land surface and are therefore not very precise. The limited amount of data about excess ice affects the precision of the modelling of the degradation of Permafrost, because it affects the sensitivity of permafrost landscapes including all biogeochemical and geophysical processes. To estimate the amount of excess ice in a landscape, differences in altitude formed by thermoerosion processes were analyzed. Height differences are formed by melting excess ice in the ground, causing subsidence. It is presumed that the content of excess ice around the thermoerosion structures is about as thick as the subsidence of the structure itself. Some factors, like erosion, slope and others, must be kept in mind when interpreting the results. The research question of the thesis is: Is it possible to make a rough estimation of the excess ice content of permafrost soil in tundra landscapes by an analysis of a digital elevation model (DEM)? The Barrow Peninsula and the Seward Peninsula, both located in Alaska, U. S., are the two research sites of this work, characterized by current thermokarst lakes and former ones, which are nowadays Drained Thermokarst Lake Basins (DTLBs). For the analysis of the basin height in comparison to the surrounding area, the Arctic DEM is used as main data resource together with data of the DTLBs. ArcGIS and R were used to calculate the height of the lakes and DTLBs and to statistically analyze the results. Various height differences and elevation distribution patterns for the two research sites were found out without a significantly related distribution pattern with the age or general elevation of the DTLBs. The discussion ...
format Thesis
author Schramm, Lisa
spellingShingle Schramm, Lisa
Estimating excess ground ice in Arctic tundra landscapes by a statistical analysis of drained thermokarst lake basins - A comparison between research sites in Alaska.
author_facet Schramm, Lisa
author_sort Schramm, Lisa
title Estimating excess ground ice in Arctic tundra landscapes by a statistical analysis of drained thermokarst lake basins - A comparison between research sites in Alaska.
title_short Estimating excess ground ice in Arctic tundra landscapes by a statistical analysis of drained thermokarst lake basins - A comparison between research sites in Alaska.
title_full Estimating excess ground ice in Arctic tundra landscapes by a statistical analysis of drained thermokarst lake basins - A comparison between research sites in Alaska.
title_fullStr Estimating excess ground ice in Arctic tundra landscapes by a statistical analysis of drained thermokarst lake basins - A comparison between research sites in Alaska.
title_full_unstemmed Estimating excess ground ice in Arctic tundra landscapes by a statistical analysis of drained thermokarst lake basins - A comparison between research sites in Alaska.
title_sort estimating excess ground ice in arctic tundra landscapes by a statistical analysis of drained thermokarst lake basins - a comparison between research sites in alaska.
publishDate 2019
url https://epic.awi.de/id/eprint/51207/
https://epic.awi.de/id/eprint/51207/1/Masterthesis_LisaSchramm.pdf
https://hdl.handle.net/10013/epic.131bce9a-bc23-4532-aeaf-def3f3ff5c96
genre Arctic
Barrow
Ice
permafrost
Seward Peninsula
Thermokarst
Tundra
Alaska
genre_facet Arctic
Barrow
Ice
permafrost
Seward Peninsula
Thermokarst
Tundra
Alaska
op_source EPIC377 p.
op_relation https://epic.awi.de/id/eprint/51207/1/Masterthesis_LisaSchramm.pdf
Schramm, L. (2019) Estimating excess ground ice in Arctic tundra landscapes by a statistical analysis of drained thermokarst lake basins - A comparison between research sites in Alaska. , Master thesis, Institute of Geography, Catholic University of Eichstätt - Ingolstadt. hdl:10013/epic.131bce9a-bc23-4532-aeaf-def3f3ff5c96
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