Landslide susceptibility mapping in the Northern part of Los Glaciares National Park, Southern Patagonia, Argentina using remote sensing, GIS and frequency ratio model

被引:3
|
作者
Moragues, Silvana [1 ,2 ]
Lenzano, Maria Gabriela [1 ]
Jeanneret, Pilar [1 ]
Gil, Veronica [3 ]
Lannutti, Esteban [1 ,2 ,4 ]
机构
[1] UNCuyo, Inst Argentino Nivol Glaciol & Ciencias Ambientale, CONICET, Lab Geomat Andina LAGEAN,Gobierno Mendoza, Avda Ruiz Leal S-N,Parque Gen San Martin, RA-5500 Mendoza, Argentina
[2] Univ Nacl Cuyo, Ctr Univ, Dept Geog, Parque San Martin S-N,M5502JMA, Mendoza, Argentina
[3] Univ Nacl Sur CONICET DGyT UNS, Dept Geog & Turismo, 12 Octubre 1198, RA-8000 Bahia Blanca, Argentina
[4] Univ Tecnol Nacl, Coronel Rodriguez 273, Mendoza, Argentina
来源
关键词
Predisposing factors; Remote sensing; Frequency ratio; Landslide susceptibility map; Los glaciares national park; ANALYTICAL HIERARCHY PROCESS; LOGISTIC-REGRESSION; SLOPE INSTABILITY; HAZARD ASSESSMENT; GLACIER; GEOMORPHOLOGY; MULTIVARIATE; BASIN; LAKE; MOUNTAINS;
D O I
10.1016/j.qsa.2023.100146
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
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.
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页数:18
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