Silvana Moragues , María Gabriela Lenzano , Pilar Jeanneret , Verónica Gil , Esteban Lannutti
{"title":"利用遥感、地理信息系统和频率比模型绘制阿根廷南巴塔哥尼亚洛斯冰川国家公园北部的滑坡易发性地图","authors":"Silvana Moragues , María Gabriela Lenzano , Pilar Jeanneret , Verónica Gil , Esteban Lannutti","doi":"10.1016/j.qsa.2023.100146","DOIUrl":null,"url":null,"abstract":"<div><p>The valleys in the northern part of Los Glaciares National Park, Southern Patagonia, Argentina, are highly dynamic due to glacier shrinkage. To improve our understanding of slope instability in deglaciated environments, we generated and analyzed a Landslide Susceptibility Map (LSM). The proposed methodology includes remote sensing, interpretation of geological maps, both performed in a Geographic Information System (GIS), and finally a Frequency Ratio Model (FRM). Factors included in the slope instability analysis were lithology, geomorphology, land cover/land use, slope, aspect, elevation, curvature, distance to geologic fault, and distance to roads and trails. Slope instability events identified in the inventory include moraine landslides, debris flows, and rockfalls. The area is modeled by glacial action and has numerous geographic features related to erosional and depositional processes of glaciofluvial, cryogenic, and paraglacial origin. According to their high frequency ratio values, geomorphology, land cover and land use, lithology, and elevation are the most influential predisposing factors. The three best performing classes are Quaternary deposits, ice-contact topography, and the innermost lateral moraines on the western side of the study area, which surround glaciers and proglacial lakes. The performance and accuracy of the LSM was evaluated and verified using the Area Under Curve (AUC) with an accuracy of 0.804. The study provides knowledge of the deglaciated environment and landslide-prone areas in the study area. In this way it will help to provide tools for action to prevent and manage potential hazards to infrastructure, residents and/or tourists.</p></div>","PeriodicalId":34142,"journal":{"name":"Quaternary Science Advances","volume":"13 ","pages":"Article 100146"},"PeriodicalIF":2.9000,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666033423000783/pdfft?md5=b94c02cd45bef8b94db9e442b800defd&pid=1-s2.0-S2666033423000783-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Landslide susceptibility mapping in the Northern part of Los Glaciares National Park, Southern Patagonia, Argentina using remote sensing, GIS and frequency ratio model\",\"authors\":\"Silvana Moragues , María Gabriela Lenzano , Pilar Jeanneret , Verónica Gil , Esteban Lannutti\",\"doi\":\"10.1016/j.qsa.2023.100146\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The valleys in the northern part of Los Glaciares National Park, Southern Patagonia, Argentina, are highly dynamic due to glacier shrinkage. To improve our understanding of slope instability in deglaciated environments, we generated and analyzed a Landslide Susceptibility Map (LSM). The proposed methodology includes remote sensing, interpretation of geological maps, both performed in a Geographic Information System (GIS), and finally a Frequency Ratio Model (FRM). Factors included in the slope instability analysis were lithology, geomorphology, land cover/land use, slope, aspect, elevation, curvature, distance to geologic fault, and distance to roads and trails. Slope instability events identified in the inventory include moraine landslides, debris flows, and rockfalls. The area is modeled by glacial action and has numerous geographic features related to erosional and depositional processes of glaciofluvial, cryogenic, and paraglacial origin. According to their high frequency ratio values, geomorphology, land cover and land use, lithology, and elevation are the most influential predisposing factors. The three best performing classes are Quaternary deposits, ice-contact topography, and the innermost lateral moraines on the western side of the study area, which surround glaciers and proglacial lakes. The performance and accuracy of the LSM was evaluated and verified using the Area Under Curve (AUC) with an accuracy of 0.804. The study provides knowledge of the deglaciated environment and landslide-prone areas in the study area. 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引用次数: 0
摘要
阿根廷南巴塔哥尼亚洛斯冰川国家公园(Los Glaciares National Park)北部的山谷因冰川收缩而极具活力。为了提高我们对冰川退化环境中斜坡不稳定性的认识,我们绘制并分析了滑坡易发图(LSM)。建议的方法包括遥感、地质图解释(均在地理信息系统(GIS)中进行)以及频率比模型(FRM)。斜坡不稳定性分析中包含的因素有岩性、地貌、土地覆盖/土地利用、坡度、坡向、海拔、曲率、与地质断层的距离以及与道路和小径的距离。清单中确定的斜坡不稳定性事件包括冰碛滑坡、泥石流和岩崩。该地区以冰川作用为模型,具有许多与冰川流、低温和副冰川起源的侵蚀和沉积过程有关的地理特征。根据其高频率比值,地貌、土地覆盖和土地利用、岩性和海拔是影响最大的诱发因素。表现最好的三个类别是第四纪沉积、冰雪接触地形以及研究区西侧最内侧的冰碛,这些冰碛环绕着冰川和冰川湖。使用曲线下面积(AUC)对 LSM 的性能和精确度进行了评估和验证,精确度为 0.804。这项研究提供了关于研究区域内冰川退化环境和滑坡易发区的知识。因此,它将有助于提供行动工具,以预防和管理对基础设施、居民和/或游客造成的潜在危害。
Landslide susceptibility mapping in the Northern part of Los Glaciares National Park, Southern Patagonia, Argentina using remote sensing, GIS and frequency ratio model
The valleys in the northern part of Los Glaciares National Park, Southern Patagonia, Argentina, are highly dynamic due to glacier shrinkage. To improve our understanding of slope instability in deglaciated environments, we generated and analyzed a Landslide Susceptibility Map (LSM). The proposed methodology includes remote sensing, interpretation of geological maps, both performed in a Geographic Information System (GIS), and finally a Frequency Ratio Model (FRM). Factors included in the slope instability analysis were lithology, geomorphology, land cover/land use, slope, aspect, elevation, curvature, distance to geologic fault, and distance to roads and trails. Slope instability events identified in the inventory include moraine landslides, debris flows, and rockfalls. The area is modeled by glacial action and has numerous geographic features related to erosional and depositional processes of glaciofluvial, cryogenic, and paraglacial origin. According to their high frequency ratio values, geomorphology, land cover and land use, lithology, and elevation are the most influential predisposing factors. The three best performing classes are Quaternary deposits, ice-contact topography, and the innermost lateral moraines on the western side of the study area, which surround glaciers and proglacial lakes. The performance and accuracy of the LSM was evaluated and verified using the Area Under Curve (AUC) with an accuracy of 0.804. The study provides knowledge of the deglaciated environment and landslide-prone areas in the study area. In this way it will help to provide tools for action to prevent and manage potential hazards to infrastructure, residents and/or tourists.