A statistical model for presence of late-season frozen ground in discontinuous permafrost at Dublin Gulch, Yukon
This paper describes geostatistical analyses completed at a discontinuous permafrost site in central Yukon to develop a predictive model for the presence of late-season frozen ground in support of planning and design for potential site development. The most important factors in the bivariate statist...
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crcansciencepubl:10.1139/cgj-2012-0318 2023-12-17T10:48:33+01:00 A statistical model for presence of late-season frozen ground in discontinuous permafrost at Dublin Gulch, Yukon Quinn, P.E. 2013 http://dx.doi.org/10.1139/cgj-2012-0318 http://www.nrcresearchpress.com/doi/full-xml/10.1139/cgj-2012-0318 http://www.nrcresearchpress.com/doi/pdf/10.1139/cgj-2012-0318 en eng Canadian Science Publishing http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining Canadian Geotechnical Journal volume 50, issue 8, page 889-898 ISSN 0008-3674 1208-6010 Civil and Structural Engineering Geotechnical Engineering and Engineering Geology journal-article 2013 crcansciencepubl https://doi.org/10.1139/cgj-2012-0318 2023-11-19T13:39:19Z This paper describes geostatistical analyses completed at a discontinuous permafrost site in central Yukon to develop a predictive model for the presence of late-season frozen ground in support of planning and design for potential site development. The most important factors in the bivariate statistical model were soil type, as determined through terrain analysis, and slope aspect, as inferred from available topographic data. The other three factors included in the final model were profile curvature, slope angle, and ground elevation, each interpreted from available topographic data. The resulting model subdivides the site into three broad classes of frozen ground likelihood: low, where frozen ground can be expected to be encountered in late summer at 15% of observation locations; medium, where 50% of the ground is expected to remain frozen; and high, where 85% of the ground is expected to remain frozen. New test pit and borehole data from the summer of 2012 were used to verify model performance. The inferred correlations between frozen ground and soil type, aspect, curvature, slope, and elevation obtained in this case study may provide useful information relative to expected permafrost occurrence at sites in central Yukon with similar geology and physiography. Article in Journal/Newspaper permafrost Yukon Canadian Science Publishing (via Crossref) Yukon Gulch ENVELOPE(-61.483,-61.483,-63.997,-63.997) Dublin Gulch ENVELOPE(-135.804,-135.804,64.043,64.043) Canadian Geotechnical Journal 50 8 889 898 |
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Open Polar |
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Canadian Science Publishing (via Crossref) |
op_collection_id |
crcansciencepubl |
language |
English |
topic |
Civil and Structural Engineering Geotechnical Engineering and Engineering Geology |
spellingShingle |
Civil and Structural Engineering Geotechnical Engineering and Engineering Geology Quinn, P.E. A statistical model for presence of late-season frozen ground in discontinuous permafrost at Dublin Gulch, Yukon |
topic_facet |
Civil and Structural Engineering Geotechnical Engineering and Engineering Geology |
description |
This paper describes geostatistical analyses completed at a discontinuous permafrost site in central Yukon to develop a predictive model for the presence of late-season frozen ground in support of planning and design for potential site development. The most important factors in the bivariate statistical model were soil type, as determined through terrain analysis, and slope aspect, as inferred from available topographic data. The other three factors included in the final model were profile curvature, slope angle, and ground elevation, each interpreted from available topographic data. The resulting model subdivides the site into three broad classes of frozen ground likelihood: low, where frozen ground can be expected to be encountered in late summer at 15% of observation locations; medium, where 50% of the ground is expected to remain frozen; and high, where 85% of the ground is expected to remain frozen. New test pit and borehole data from the summer of 2012 were used to verify model performance. The inferred correlations between frozen ground and soil type, aspect, curvature, slope, and elevation obtained in this case study may provide useful information relative to expected permafrost occurrence at sites in central Yukon with similar geology and physiography. |
format |
Article in Journal/Newspaper |
author |
Quinn, P.E. |
author_facet |
Quinn, P.E. |
author_sort |
Quinn, P.E. |
title |
A statistical model for presence of late-season frozen ground in discontinuous permafrost at Dublin Gulch, Yukon |
title_short |
A statistical model for presence of late-season frozen ground in discontinuous permafrost at Dublin Gulch, Yukon |
title_full |
A statistical model for presence of late-season frozen ground in discontinuous permafrost at Dublin Gulch, Yukon |
title_fullStr |
A statistical model for presence of late-season frozen ground in discontinuous permafrost at Dublin Gulch, Yukon |
title_full_unstemmed |
A statistical model for presence of late-season frozen ground in discontinuous permafrost at Dublin Gulch, Yukon |
title_sort |
statistical model for presence of late-season frozen ground in discontinuous permafrost at dublin gulch, yukon |
publisher |
Canadian Science Publishing |
publishDate |
2013 |
url |
http://dx.doi.org/10.1139/cgj-2012-0318 http://www.nrcresearchpress.com/doi/full-xml/10.1139/cgj-2012-0318 http://www.nrcresearchpress.com/doi/pdf/10.1139/cgj-2012-0318 |
long_lat |
ENVELOPE(-61.483,-61.483,-63.997,-63.997) ENVELOPE(-135.804,-135.804,64.043,64.043) |
geographic |
Yukon Gulch Dublin Gulch |
geographic_facet |
Yukon Gulch Dublin Gulch |
genre |
permafrost Yukon |
genre_facet |
permafrost Yukon |
op_source |
Canadian Geotechnical Journal volume 50, issue 8, page 889-898 ISSN 0008-3674 1208-6010 |
op_rights |
http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining |
op_doi |
https://doi.org/10.1139/cgj-2012-0318 |
container_title |
Canadian Geotechnical Journal |
container_volume |
50 |
container_issue |
8 |
container_start_page |
889 |
op_container_end_page |
898 |
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1785572751881273344 |