On the cause of thermal erosion on ice-rich permafrost (Lena River Delta/ Siberia) - An assessment on geomorphological parameters for erosion susceptibility mapping using logistic regression

Vast parts of Arctic Siberia are underlain by ice-rich permafrost, which is exposed to different processes of degradation due to global warming. Thermal erosion as a key process for landscape degradation causes the recent reactivation and formation of new landforms like thermoerosional valleys and g...

Full description

Bibliographic Details
Main Author: Veh, Georg
Format: Thesis
Language:unknown
Published: 2015
Subjects:
Ice
Online Access:https://epic.awi.de/id/eprint/39225/
https://epic.awi.de/id/eprint/39225/1/Veh_2015_MA.pdf
https://hdl.handle.net/10013/epic.46440
https://hdl.handle.net/10013/epic.46440.d001
id ftawi:oai:epic.awi.de:39225
record_format openpolar
spelling ftawi:oai:epic.awi.de:39225 2023-05-15T15:05:52+02:00 On the cause of thermal erosion on ice-rich permafrost (Lena River Delta/ Siberia) - An assessment on geomorphological parameters for erosion susceptibility mapping using logistic regression Veh, Georg 2015-08 application/pdf https://epic.awi.de/id/eprint/39225/ https://epic.awi.de/id/eprint/39225/1/Veh_2015_MA.pdf https://hdl.handle.net/10013/epic.46440 https://hdl.handle.net/10013/epic.46440.d001 unknown https://epic.awi.de/id/eprint/39225/1/Veh_2015_MA.pdf https://hdl.handle.net/10013/epic.46440.d001 Veh, G. (2015) On the cause of thermal erosion on ice-rich permafrost (Lena River Delta/ Siberia) - An assessment on geomorphological parameters for erosion susceptibility mapping using logistic regression , Master thesis, Katholische Universität Eichstätt-Ingolstadt. hdl:10013/epic.46440 EPIC391 p. Thesis notRev 2015 ftawi 2021-12-24T15:40:57Z Vast parts of Arctic Siberia are underlain by ice-rich permafrost, which is exposed to different processes of degradation due to global warming. Thermal erosion as a key process for landscape degradation causes the recent reactivation and formation of new landforms like thermoerosional valleys and gullies. However, a statistical assessment about the decisive factors and the locations most susceptible for this phenomenon is still missing. This study investigates the influence of different geomorphological parameters on the occurrence of recently observed thermal erosion using a GIS-based approach and statistical modeling by logistic regression. The study site is located on an island within the Arctic Lena River Delta and is mainly composed of ice- and organic-rich deposits. Field surveys and mapping of high-resolution remotely sensed data revealed that thermal erosion occurs predominantly i) on very steep slopes along the margins of the island, ii) in the upper reaches of deeply incised thermo-erosional valleys and iii) in thermo-erosional gullies. Several potentially influencing environmental parameters were derived by a combination of high-resolution satellite imagery and 2 m-DEM. The full set of parameters was reduced stepwise within the logistic regression model. This approach allows the selection of a parsimonious model, i.e. a best-fit model using as few variables as possible. The parameters Contribution of warm open surface water, Relief ratio, Direct solar radiation and Snow accumulation turned out be the decisive factors for thermal erosion. Uncertainties in the model due to sampling and model selection were evaluated statistically and spatially through the generation of 100 models. Receiver Operating Characteristics (ROCs) were used to validate the spatial predictive capability of each model run. The consensus map as the median of all susceptibility models represents the final susceptibility map. The agreement between mapped and predicted erosion is generally very high within the study site, confirmed by an Area under the ROC curve (AUC) of 0.957 for the consensus map. The variability of predicted erosion probabilities between the single models is about four percentage points per cell within the study site and thus, very low. Mismatches between observed and predicted erosion could be attributed to the generation of the explanatory environmental parameters and the modeling approach. Model results seem promising for the spatial prediction of susceptible sites for thermal erosion, but require external validation on other sites with comparable environmental conditions. Thesis Arctic Global warming Ice lena river permafrost Siberia Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Arctic
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 Vast parts of Arctic Siberia are underlain by ice-rich permafrost, which is exposed to different processes of degradation due to global warming. Thermal erosion as a key process for landscape degradation causes the recent reactivation and formation of new landforms like thermoerosional valleys and gullies. However, a statistical assessment about the decisive factors and the locations most susceptible for this phenomenon is still missing. This study investigates the influence of different geomorphological parameters on the occurrence of recently observed thermal erosion using a GIS-based approach and statistical modeling by logistic regression. The study site is located on an island within the Arctic Lena River Delta and is mainly composed of ice- and organic-rich deposits. Field surveys and mapping of high-resolution remotely sensed data revealed that thermal erosion occurs predominantly i) on very steep slopes along the margins of the island, ii) in the upper reaches of deeply incised thermo-erosional valleys and iii) in thermo-erosional gullies. Several potentially influencing environmental parameters were derived by a combination of high-resolution satellite imagery and 2 m-DEM. The full set of parameters was reduced stepwise within the logistic regression model. This approach allows the selection of a parsimonious model, i.e. a best-fit model using as few variables as possible. The parameters Contribution of warm open surface water, Relief ratio, Direct solar radiation and Snow accumulation turned out be the decisive factors for thermal erosion. Uncertainties in the model due to sampling and model selection were evaluated statistically and spatially through the generation of 100 models. Receiver Operating Characteristics (ROCs) were used to validate the spatial predictive capability of each model run. The consensus map as the median of all susceptibility models represents the final susceptibility map. The agreement between mapped and predicted erosion is generally very high within the study site, confirmed by an Area under the ROC curve (AUC) of 0.957 for the consensus map. The variability of predicted erosion probabilities between the single models is about four percentage points per cell within the study site and thus, very low. Mismatches between observed and predicted erosion could be attributed to the generation of the explanatory environmental parameters and the modeling approach. Model results seem promising for the spatial prediction of susceptible sites for thermal erosion, but require external validation on other sites with comparable environmental conditions.
format Thesis
author Veh, Georg
spellingShingle Veh, Georg
On the cause of thermal erosion on ice-rich permafrost (Lena River Delta/ Siberia) - An assessment on geomorphological parameters for erosion susceptibility mapping using logistic regression
author_facet Veh, Georg
author_sort Veh, Georg
title On the cause of thermal erosion on ice-rich permafrost (Lena River Delta/ Siberia) - An assessment on geomorphological parameters for erosion susceptibility mapping using logistic regression
title_short On the cause of thermal erosion on ice-rich permafrost (Lena River Delta/ Siberia) - An assessment on geomorphological parameters for erosion susceptibility mapping using logistic regression
title_full On the cause of thermal erosion on ice-rich permafrost (Lena River Delta/ Siberia) - An assessment on geomorphological parameters for erosion susceptibility mapping using logistic regression
title_fullStr On the cause of thermal erosion on ice-rich permafrost (Lena River Delta/ Siberia) - An assessment on geomorphological parameters for erosion susceptibility mapping using logistic regression
title_full_unstemmed On the cause of thermal erosion on ice-rich permafrost (Lena River Delta/ Siberia) - An assessment on geomorphological parameters for erosion susceptibility mapping using logistic regression
title_sort on the cause of thermal erosion on ice-rich permafrost (lena river delta/ siberia) - an assessment on geomorphological parameters for erosion susceptibility mapping using logistic regression
publishDate 2015
url https://epic.awi.de/id/eprint/39225/
https://epic.awi.de/id/eprint/39225/1/Veh_2015_MA.pdf
https://hdl.handle.net/10013/epic.46440
https://hdl.handle.net/10013/epic.46440.d001
geographic Arctic
geographic_facet Arctic
genre Arctic
Global warming
Ice
lena river
permafrost
Siberia
genre_facet Arctic
Global warming
Ice
lena river
permafrost
Siberia
op_source EPIC391 p.
op_relation https://epic.awi.de/id/eprint/39225/1/Veh_2015_MA.pdf
https://hdl.handle.net/10013/epic.46440.d001
Veh, G. (2015) On the cause of thermal erosion on ice-rich permafrost (Lena River Delta/ Siberia) - An assessment on geomorphological parameters for erosion susceptibility mapping using logistic regression , Master thesis, Katholische Universität Eichstätt-Ingolstadt. hdl:10013/epic.46440
_version_ 1766337540256694272