{"title":"喜马拉雅冰川厚度绘图工具(HIGTHIM):绘制潜在冰川湖泊和现有湖泊扩展图的自动方法","authors":"Pradeep Srinivasalu , Anil V. Kulkarni , S.N. Remya , Tejal Shirsat , Ajanta Goswami","doi":"10.1016/j.polar.2023.101008","DOIUrl":null,"url":null,"abstract":"<div><p>Climate warming is the driving force behind the mass change of glaciers, resulting in their thinning and retreat. These changes could result in the formation of glacial lakes across the Himalayan landscape, posing a risk of glacial lake outburst flood (GLOF) hazards, causing enormous damage to the natural environment, human property, and lives. The present study demonstrates a semi-automated tool named 'Himalayan Glacier Thickness Mapper' (HIGTHIM), a Python script based on the ArcPy module. The tool provides the glacier's ice thickness, bed topography, location of the potential lake, and lake volume. It utilizes the laminar flow equation to model ice thickness by applying the surface velocity and slope. We used HIGTHIM in the Sutlej and Beas basins for 132 glaciers covering an area of 618 km<sup>2</sup> in the Western Himalaya for this investigation. The results indicate 118 potential lake sites covering a total area of 16 km<sup>2</sup> and a volume of 269 × 10<sup>6</sup> m<sup>3</sup>. The information provided by the HIGTHIM tool will be useful in understanding the formation and progression of future glacial lakes caused by deglaciation. Such data is required for the scientific community to perform dynamic modelling of outburst scenarios, hydrological modelling, and risk mitigation from GLOF.</p></div>","PeriodicalId":20316,"journal":{"name":"Polar Science","volume":"39 ","pages":"Article 101008"},"PeriodicalIF":1.5000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1873965223001159/pdfft?md5=a2b5a2799cc70936dd27a3e98a3dfc98&pid=1-s2.0-S1873965223001159-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Himalayan glacier thickness mapper (HIGTHIM) tool: An automated approach to map potential glacier lakes and expansion of existing lakes\",\"authors\":\"Pradeep Srinivasalu , Anil V. Kulkarni , S.N. Remya , Tejal Shirsat , Ajanta Goswami\",\"doi\":\"10.1016/j.polar.2023.101008\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Climate warming is the driving force behind the mass change of glaciers, resulting in their thinning and retreat. These changes could result in the formation of glacial lakes across the Himalayan landscape, posing a risk of glacial lake outburst flood (GLOF) hazards, causing enormous damage to the natural environment, human property, and lives. The present study demonstrates a semi-automated tool named 'Himalayan Glacier Thickness Mapper' (HIGTHIM), a Python script based on the ArcPy module. The tool provides the glacier's ice thickness, bed topography, location of the potential lake, and lake volume. It utilizes the laminar flow equation to model ice thickness by applying the surface velocity and slope. We used HIGTHIM in the Sutlej and Beas basins for 132 glaciers covering an area of 618 km<sup>2</sup> in the Western Himalaya for this investigation. The results indicate 118 potential lake sites covering a total area of 16 km<sup>2</sup> and a volume of 269 × 10<sup>6</sup> m<sup>3</sup>. The information provided by the HIGTHIM tool will be useful in understanding the formation and progression of future glacial lakes caused by deglaciation. Such data is required for the scientific community to perform dynamic modelling of outburst scenarios, hydrological modelling, and risk mitigation from GLOF.</p></div>\",\"PeriodicalId\":20316,\"journal\":{\"name\":\"Polar Science\",\"volume\":\"39 \",\"pages\":\"Article 101008\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2024-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S1873965223001159/pdfft?md5=a2b5a2799cc70936dd27a3e98a3dfc98&pid=1-s2.0-S1873965223001159-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Polar Science\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1873965223001159\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Polar Science","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1873965223001159","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECOLOGY","Score":null,"Total":0}
Himalayan glacier thickness mapper (HIGTHIM) tool: An automated approach to map potential glacier lakes and expansion of existing lakes
Climate warming is the driving force behind the mass change of glaciers, resulting in their thinning and retreat. These changes could result in the formation of glacial lakes across the Himalayan landscape, posing a risk of glacial lake outburst flood (GLOF) hazards, causing enormous damage to the natural environment, human property, and lives. The present study demonstrates a semi-automated tool named 'Himalayan Glacier Thickness Mapper' (HIGTHIM), a Python script based on the ArcPy module. The tool provides the glacier's ice thickness, bed topography, location of the potential lake, and lake volume. It utilizes the laminar flow equation to model ice thickness by applying the surface velocity and slope. We used HIGTHIM in the Sutlej and Beas basins for 132 glaciers covering an area of 618 km2 in the Western Himalaya for this investigation. The results indicate 118 potential lake sites covering a total area of 16 km2 and a volume of 269 × 106 m3. The information provided by the HIGTHIM tool will be useful in understanding the formation and progression of future glacial lakes caused by deglaciation. Such data is required for the scientific community to perform dynamic modelling of outburst scenarios, hydrological modelling, and risk mitigation from GLOF.
期刊介绍:
Polar Science is an international, peer-reviewed quarterly journal. It is dedicated to publishing original research articles for sciences relating to the polar regions of the Earth and other planets. Polar Science aims to cover 15 disciplines which are listed below; they cover most aspects of physical sciences, geosciences and life sciences, together with engineering and social sciences. Articles should attract the interest of broad polar science communities, and not be limited to the interests of those who work under specific research subjects. Polar Science also has an Open Archive whereby published articles are made freely available from ScienceDirect after an embargo period of 24 months from the date of publication.
- Space and upper atmosphere physics
- Atmospheric science/climatology
- Glaciology
- Oceanography/sea ice studies
- Geology/petrology
- Solid earth geophysics/seismology
- Marine Earth science
- Geomorphology/Cenozoic-Quaternary geology
- Meteoritics
- Terrestrial biology
- Marine biology
- Animal ecology
- Environment
- Polar Engineering
- Humanities and social sciences.