Results 81 to 90 of about 126 (100)

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

Shallow translational landslides on the east face of Araripe Plateau, northeastern Brazil: SHALSTAB model and Optically Stimulated Luminescence (OSL) dating

Journal of South American Earth Sciences
CARLOS De Oliveira Bispo, Fabrizio Listo, Danielle Gomes Da Silva Listo   +2 more
exaly   +2 more sources

Monte-Carlo SHALSTAB: uma abordagem probabilística para avaliação espacial de movimentos gravitacionais de massa

Peer Review
Este artigo apresenta uma abordagem probabilística para a avaliação da estabilidade de encostas. O método utiliza o modelo matemático SHALSTAB como base determinística, para levar em consideração incertezas, aplica o método Monte-Carlo em conjunto com funções densidade de probabilidade (PDF).
Gabriel Guerra Guaragna, Rafael Augusto dos Reis Higashi, Rogério Cid Bastos, Thiago Deeke Viek   +3 more
openaire   +1 more source

APPLICATION OF THE SHALSTAB MODEL, IN AN ARCVIEW ENVIRONMENT, FOR MAPPING AREAS SUSCEPTIBLE TO SHALLOW SLIPPING IN THE REGION OF QUADRILÁTERO FERRÍFERO (MG)

2022
Inúmeras metodologias vêm sendo desenvolvidas com o intuito de entender os fatores que condicionam o processo de movimento de massa. Neste propósito foi desenvolvido o modelo SHALSTAB que objetiva identificar e mapear as áreas de instabilidade nas encostas.
Moreira Ramos, Verônica, Fontes Guimarães, Renato, Luciancencov Redivo, André, Arnaldo Trancoso Gomes, Roberto, Ferreira Fernandes, Nelson, Abílio de Carvalho Júnior, Osmar   +5 more
openaire   +1 more source

Comparison between Shalstab and TRIGRS in the identification of landslides susceptible areas

Congresso Brasileiro de Mecânica dos Solos e Engenharia Geotécnica, 2020
Tehrrie Konig, Hermann Johann Heinrich Kux   +1 more
openaire   +1 more source

Landslide susceptibility mapping using the infinite slope, SHALSTAB, SINMAP, and TRIGRS models in Serra do Mar, Brazil

Journal of Mountain Science, 2022
Thiago Machado do Pinho, Oswaldo Augusto Filho   +1 more
openaire   +1 more source

Application of the SHALSTAB model for mapping susceptible landslide areas in mine zone (Quadrilaˊtero Ferriˊfero in southeast Brazil)

IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2004
Renato Fontes Guimarães, V. M. Ramos, André Luciancenov Redivo, Roberto Arnaldo Trancoso Gomes, Nelson Ferreira Fernandes, Osmar Abílio de Carvalho Jr.   +5 more
openaire   +1 more source

بررسی کارایی دو مدل پایه فیزیکی SINMAP و SHALSTAB در پهنه‌بندی خطر وقوع زمین لغزش(مطالعه موردی: محدوده منطقه چهاردانگه، استان مازندران)

2017
زمین­لغزش یکی از مهم‌ترین پدیده‌های زمین‌شناختی دامنه‌های البرز شمالی است که به‌طور تدریجی و گاهی در مدت‌زمان کوتاه باعث بروز خسارات قابل‌توجه می­گردد. در چندساله اخیر به دلیل تغییرات نامطلوب در کاربری‌ها و تخریب فزاینده مراتع و جنگل‌ها و اراضی زراعی و اجرای نامناسب پروژه­های عمرانی در مناطق مستعد لغزش، تشکیلات زمین‌شناسی مستعد به لغزش، میزان بارندگی و
openaire   +1 more source

Validation of the Shallow Landslide Model, SHALSTAB, for forest management

2001
William E. Dietrich, Dino Bellugi, Raphael Real de Asua   +2 more
openaire   +1 more source