{"title":"冰沉积物中过量冰的垂直分布及其根据岩土数据的统计估计(西北地区Tuktoyaktuk海岸和Anderson平原)","authors":"A. Castagner, A. Brenning, S. Gruber, S. Kokelj","doi":"10.1139/as-2021-0041","DOIUrl":null,"url":null,"abstract":"Excess ice, found as massive ice and within icy sediments, is an important variable to quantify as it is a dominant control on the terrain and geotechnical response to permafrost thaw. A large amount of permafrost borehole data are available from the Tuktoyaktuk Coastlands, however, field geotechnical assessments typically only involve the estimation of visible ice. To add significant value to these datasets, a cryostratigraphic dataset collected along the Inuvik-Tuktoyaktuk Highway (566 boreholes) is used to develop a beta regression model which predicts the excess ice content of icy sediments based on interval depth, visible ice content, material type, and Quaternary deposits. The resulting predictions are compared to recorded massive ice intervals and show that ground ice within icy sediments can contribute up to 65% of the excess ice and potential thaw strain within the first 10 meters from the surface in this area. This study shows the general applicability of this approach and indicates that comparable, quantitative data on ground ice conditions should be collected with drilling programs to derive geotechnical variables and reduce modeling uncertainties so that ground ice data are available for quantitative analysis.","PeriodicalId":48575,"journal":{"name":"Arctic Science","volume":" ","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2022-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Vertical distribution of excess ice in icy sediments and its statistical estimation from geotechnical data (Tuktoyaktuk Coastlands and Anderson Plain, Northwest Territories)\",\"authors\":\"A. Castagner, A. Brenning, S. Gruber, S. Kokelj\",\"doi\":\"10.1139/as-2021-0041\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Excess ice, found as massive ice and within icy sediments, is an important variable to quantify as it is a dominant control on the terrain and geotechnical response to permafrost thaw. A large amount of permafrost borehole data are available from the Tuktoyaktuk Coastlands, however, field geotechnical assessments typically only involve the estimation of visible ice. To add significant value to these datasets, a cryostratigraphic dataset collected along the Inuvik-Tuktoyaktuk Highway (566 boreholes) is used to develop a beta regression model which predicts the excess ice content of icy sediments based on interval depth, visible ice content, material type, and Quaternary deposits. The resulting predictions are compared to recorded massive ice intervals and show that ground ice within icy sediments can contribute up to 65% of the excess ice and potential thaw strain within the first 10 meters from the surface in this area. This study shows the general applicability of this approach and indicates that comparable, quantitative data on ground ice conditions should be collected with drilling programs to derive geotechnical variables and reduce modeling uncertainties so that ground ice data are available for quantitative analysis.\",\"PeriodicalId\":48575,\"journal\":{\"name\":\"Arctic Science\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2022-11-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Arctic Science\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1139/as-2021-0041\",\"RegionNum\":3,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Arctic Science","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1139/as-2021-0041","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECOLOGY","Score":null,"Total":0}
Vertical distribution of excess ice in icy sediments and its statistical estimation from geotechnical data (Tuktoyaktuk Coastlands and Anderson Plain, Northwest Territories)
Excess ice, found as massive ice and within icy sediments, is an important variable to quantify as it is a dominant control on the terrain and geotechnical response to permafrost thaw. A large amount of permafrost borehole data are available from the Tuktoyaktuk Coastlands, however, field geotechnical assessments typically only involve the estimation of visible ice. To add significant value to these datasets, a cryostratigraphic dataset collected along the Inuvik-Tuktoyaktuk Highway (566 boreholes) is used to develop a beta regression model which predicts the excess ice content of icy sediments based on interval depth, visible ice content, material type, and Quaternary deposits. The resulting predictions are compared to recorded massive ice intervals and show that ground ice within icy sediments can contribute up to 65% of the excess ice and potential thaw strain within the first 10 meters from the surface in this area. This study shows the general applicability of this approach and indicates that comparable, quantitative data on ground ice conditions should be collected with drilling programs to derive geotechnical variables and reduce modeling uncertainties so that ground ice data are available for quantitative analysis.
Arctic ScienceAgricultural and Biological Sciences-General Agricultural and Biological Sciences
CiteScore
5.00
自引率
12.10%
发文量
81
期刊介绍:
Arctic Science is an interdisciplinary journal that publishes original peer-reviewed research from all areas of natural science and applied science & engineering related to northern Polar Regions. The focus on basic and applied science includes the traditional knowledge and observations of the indigenous peoples of the region as well as cutting-edge developments in biological, chemical, physical and engineering science in all northern environments. Reports on interdisciplinary research are encouraged. Special issues and sections dealing with important issues in northern polar science are also considered.