Results 111 to 120 of about 763 (139)

Fragilidade potencial das vertentes à ocorrência de deslizamentos na bacia hidrográfica do Caeté, Alfredo Wagner, estado de Santa Catarina, Brasil [PDF]

, 2014
Kobiyama, Masato, Vestena, Leandro Redin
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Monte Carlo SHALSTAB: A probabilistic-based SHALSTAB Analysis

ENSUS2023 - XI Encontro de Sustentabilidade em Projeto, 2023
ABSTRACT
Gabriel Guerra Guaragna, Rafael Augusto dos Reis Higashi, Thiago Deeke Viek   +2 more
exaly   +2 more sources

Shalstab mathematical model and WorldView-2 satellite images to identification of landslide-susceptible areas

Natural Hazards, 2019
Natural hazards, occurring all over the world, may become a disaster when humans and nature interact. In Brazil, landslides triggered by heavy rainfall are the most common phenomenon that affects the population. Due to the economic and social losses and deaths, the identification and monitoring of risk areas are extremely important.
Téhrrie König, Rodolfo Moreda Mendes
exaly   +2 more sources

Comparative analysis of SHALSTAB and SINMAP for landslide susceptibility mapping in the Cunha River basin, southern Brazil

Journal of Soils and Sediments, 2014
The Shallow Landsliding Stability Model (SHALSTAB) and Stability Index Mapping (SINMAP) models have been applied to various landslide management and research studies. Both models combine a hydrological model with an infinite slope stability model for predicting landslide occurrence.
Gean Paulo Michel, Masato Kobiyama, Roberto Fabris Goerl   +2 more
exaly   +2 more sources

Assessing shallow landslide hazards using the TRIGRS and SHALSTAB models, Serra do Mar, Brazil

Environmental Earth Sciences, 2018
The hillslopes of the Serra do Mar, a system of escarpments and mountains that extend more than 1500 km along the southern and southeastern Brazilian coast, are regularly affected by heavy rainfall that generates widespread mass movements, causing large numbers of casualties and economic losses.
Bianca Carvalho Vieira, Nelson Ferreira Fernandes, Oswaldo Augusto Filho   +2 more
exaly   +2 more sources

Prediction on landslides induced by heavy rainfalls and typhoons for Shih-Men watershed in Taiwan using SHALSTAB program

2009
B Lin, C Kao, W Leung, C Hsu, C Cheng, J Lian   +5 more
exaly   +3 more sources

MODELO SHALSTAB APLICADO EM BACIAS HIDROGRÁFICAS: ANÁLISES EM DIFERENTES CONDIÇÕES DE OCUPAÇÃO URBANA

Geosciences = Geociências, 2021
Desde os períodos mais remotos da história da humanidade, os Homens procuram aglomerar sua ocupação em áreas próximas à grandes corpos hídricos, contudo, tal herança histórica/cultural, resulta em ocupações que podem expor as pessoas a movimentos naturais do relevo contidos na abrangência das Bacias Hidrográficas, portanto, é de extrema importância ...
Diogo ZIMMERMANN, Rafael Augusto dos Reis HIGASHI   +1 more
openaire   +1 more source

Comparative analysis of the shalstab model from 1:10,000 and 1:50,000 scales

IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004, 2004
Landslides are natural phenomena that model the terrain and cause great damage to humanity, both financially and in terms of loss of life. Therefore predicting this phenomenon is extremely important as it can lead to better city planning and a more effective preventative containment work.
Renato Fontes Guimarães, Osmar Abílio de Carvalho Jr., Roberto Arnaldo Trancoso Gomes, Nelson Ferreira Fernandes   +3 more
openaire   +1 more source

Assessing shallow landslide susceptibility by using the SHALSTAB model in Eastern Liguria (Italy)

Rendiconti online della Società Geologica Italiana, 2015
On 25 October 2011 a heavy rainstorm hit Eastern Liguria (Vara Valley and Cinque Terre) and North-western Tuscany (Magra Valley), causing floods and hundreds of shallow landslides.This study aims at assessing the shallow landslide susceptibility using the physically based model SHALSTAB (Shallow Landslide Stability Model) in the Pogliaschina Torrent ...
BARTELLETTI, CARLOTTA, D'AMATO AVANZI, GIACOMO ALFREDO, GALANTI, YURI, GIANNECCHINI, ROBERTO, Mazzali, A.   +4 more
openaire   +1 more source

Assessment of Shallow Landslides Susceptibility Using SHALSTAB and SINMAP at Serra Do Mar, Brazil

2020
The Serra do Mar mountain range in Brazil is highly susceptible to shallow landslides initiation, due to its relief and high rainfall index. The aim of this study is the application and comparative performance analysis of SHALSTAB and SINMAP in the landslide susceptibility assessment of the Pereque watershed at the Serra do Mar escarpments.
Victor Carvalho Cabral, Fábio Augusto Gomes Vieira Reis   +1 more
openaire   +1 more source