Remote Sensing and Statistical Analysis of Fracture Populations Around Lake Thingvallavatn, SW Iceland

This study aims at a description and statistical analysis of tectonic and magmatic fractures in the Western Volcanic Zone (WVZ) on Iceland. Two fracture populations are studied with respect to their distance to the Hengill volcano: The southern area is between 0-10 kilometers from the volcano and th...

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Main Author: Oxenstierna, Johan
Format: Others
Language:English
Published: Uppsala universitet, Institutionen för geovetenskaper 2012
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-182201
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spelling ndltd-UPSALLA1-oai-DiVA.org-uu-1822012018-06-28T05:29:05ZRemote Sensing and Statistical Analysis of Fracture Populations Around Lake Thingvallavatn, SW IcelandengOxenstierna, JohanUppsala universitet, Institutionen för geovetenskaper2012GeologyGeologiThis study aims at a description and statistical analysis of tectonic and magmatic fractures in the Western Volcanic Zone (WVZ) on Iceland. Two fracture populations are studied with respect to their distance to the Hengill volcano: The southern area is between 0-10 kilometers from the volcano and the northern area is between 16-25 kilometers from the volcano. The description and analysis of fractures is carried out separately for the two areas as well as for the two areas together to test different mapping procedures, statistical methods and the influence of the volcano on the properties of the fractures. There are various reasons for considering this an important study: Firstly, this is not an extensively researched field and there are many unanswered methodological questions on how to map and describe the fractures. In this study, problems such as how maps are stitched and georeferenced, how fractures are divided into segments and mapped in respect to topography, are discussed. The potential errors caused by these methodological problems are concluded to be large enough to significantly affect statistical tests analyzing fracture populations. In the analysis part, the properties of the fracture populations are studied using Kolmogorov Smirnov and χ 2 goodness-of-fit tests, scatter-plots, simple count and ratios among other methods. It was found that the fracture populations follow distributions that are not easily defined, but that they are of the same and quantifiable type. With more data their common distribution could therefore be modeled, and the factor by which the Hengill volcano affects the strike of fractures per distance unit from the volcano could be calculated. It was also found that magmatic fractures are formed in a similar, but not necessarily the same stress-field as tectonic fractures. Therefore change in magma pressure might change the local stress regime around magmatic fractures, affecting their strike.    Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-182201Självständigt arbete i geovetenskap ; 37application/pdfinfo:eu-repo/semantics/openAccess
collection NDLTD
language English
format Others
sources NDLTD
topic Geology
Geologi
spellingShingle Geology
Geologi
Oxenstierna, Johan
Remote Sensing and Statistical Analysis of Fracture Populations Around Lake Thingvallavatn, SW Iceland
description This study aims at a description and statistical analysis of tectonic and magmatic fractures in the Western Volcanic Zone (WVZ) on Iceland. Two fracture populations are studied with respect to their distance to the Hengill volcano: The southern area is between 0-10 kilometers from the volcano and the northern area is between 16-25 kilometers from the volcano. The description and analysis of fractures is carried out separately for the two areas as well as for the two areas together to test different mapping procedures, statistical methods and the influence of the volcano on the properties of the fractures. There are various reasons for considering this an important study: Firstly, this is not an extensively researched field and there are many unanswered methodological questions on how to map and describe the fractures. In this study, problems such as how maps are stitched and georeferenced, how fractures are divided into segments and mapped in respect to topography, are discussed. The potential errors caused by these methodological problems are concluded to be large enough to significantly affect statistical tests analyzing fracture populations. In the analysis part, the properties of the fracture populations are studied using Kolmogorov Smirnov and χ 2 goodness-of-fit tests, scatter-plots, simple count and ratios among other methods. It was found that the fracture populations follow distributions that are not easily defined, but that they are of the same and quantifiable type. With more data their common distribution could therefore be modeled, and the factor by which the Hengill volcano affects the strike of fractures per distance unit from the volcano could be calculated. It was also found that magmatic fractures are formed in a similar, but not necessarily the same stress-field as tectonic fractures. Therefore change in magma pressure might change the local stress regime around magmatic fractures, affecting their strike.   
author Oxenstierna, Johan
author_facet Oxenstierna, Johan
author_sort Oxenstierna, Johan
title Remote Sensing and Statistical Analysis of Fracture Populations Around Lake Thingvallavatn, SW Iceland
title_short Remote Sensing and Statistical Analysis of Fracture Populations Around Lake Thingvallavatn, SW Iceland
title_full Remote Sensing and Statistical Analysis of Fracture Populations Around Lake Thingvallavatn, SW Iceland
title_fullStr Remote Sensing and Statistical Analysis of Fracture Populations Around Lake Thingvallavatn, SW Iceland
title_full_unstemmed Remote Sensing and Statistical Analysis of Fracture Populations Around Lake Thingvallavatn, SW Iceland
title_sort remote sensing and statistical analysis of fracture populations around lake thingvallavatn, sw iceland
publisher Uppsala universitet, Institutionen för geovetenskaper
publishDate 2012
url http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-182201
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