@Article{PachecoKuxCors:2022:AdMoAp,
               author = "Pacheco, T{\'e}hrrie Caroline Konig Ferraz and Kux, Hermann 
                         Johann Heinrich and Corsi, Alessandra C.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto de 
                         Pesquisas Tecnol{\'o}gicas (IPT)}",
                title = "Advanced Models Applied for the Elaboration of Landslide-Prone 
                         Maps, a Review",
              journal = "International Journal of Geosciences",
                 year = "2022",
               volume = "13",
               number = "3",
                pages = "174--198",
             keywords = "Disaster, Shalstab, TRIGRS, Sinmap, Landslide Susceptibility.",
             abstract = "Landslides are a natural phenomenon that happens all around the 
                         world. When happening in urban areas they become a disaster, 
                         disrupting the lifestyle of a community or society. Human losses, 
                         social impacts, and structural damage are some of the landslides 
                         effects. The current climate variability shows an increase in 
                         extreme weather conditions, either with long periods of drought or 
                         heavy and long-term rainfall. In Brazil, landslides are one of the 
                         deadliest disasters; they are usually preceded and triggered by 
                         heavy rainfall and already have affected more than 4 million 
                         people. Moreover, with the population growth, areas with high 
                         declivities have been occupied and turned into urban areas. Those 
                         people living there are vulnerable to suffering from landslides, 
                         losing their homes, and in extreme cases, losing their life. The 
                         identification and monitoring of landslide-prone areas are crucial 
                         to avoid disasters. Several advanced models, with different 
                         approaches, were developed to identify the landslide-prone areas. 
                         Aiming to decide the model that provides more satisfactory 
                         results, this paper presents a literature review of the 
                         applicability and limitations of three advanced models. The three 
                         models are Sinmap, Shalstab and TRIGRS. The analysis determined 
                         that all three models are adequate for stability management in 
                         slope areas. Moreover, TRIGRS results are more accurate than 
                         Shalstab, and the Sinmap model provides an over-estimation of 
                         landslide-prone areas.",
                  doi = "10.4236/ijg.2022.133010",
                  url = "http://dx.doi.org/10.4236/ijg.2022.133010",
                 issn = "2156-8367 and 2156-8367",
                label = "lattes: 4136902188810339 1 KonigKuxCors:2022:AdMoAp",
             language = "en",
           targetfile = "ijg_2022031514325306.pdf",
                  url = "https://www.scirp.org/journal/paperinformation.aspx?paperid=115907",
        urlaccessdate = "25 jun. 2024"
}