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Sousa, I.A., Bortolozo, C.A., Mendes, T.S.G., Andrade, M.R.M., Dolif, G., Metodiev, D., Pryer, T., Howley, N., Simoes, S.J.C. and Mendes, R.M. (2023) Development of a Soil Moisture Forecasting Method for a Landslide Early Warning System (LEWS): Pilot Cases in Coastal Regions of Brazil. Journal of South American Earth Sciences, 131, Article ID: 104631.
https://doi.org/10.1016/j.jsames.2023.104631

has been cited by the following article:

• TITLE: The SNAKE System: CEMADEN’s Landslide Early Warning System (LEWS) Mechanism

  AUTHORS: Marcio Roberto Magalhães de Andrade, Cassiano Antonio Bortolozo, Adenilson Roberto Carvalho, Harideva Marturano Egas, Klaifer Garcia, Daniel Metodiev, Tulius Dias Nery, Carla Prieto, Tristan Pryer, Silvia Midori Saito, Graziela Scofield

  KEYWORDS: Natural Disasters, Landslide Early Warning System (LEWS), SNAKE System, CEMADEN, Brazil

  JOURNAL NAME: International Journal of Geosciences, Vol.14 No.11, November 30, 2023

  ABSTRACT: In Brazil, the prominent climate-induced disasters are floods and mass movements, with the latter being the most lethal. The spate of major landslide events, especially those in 2011, catalyzed the creation of CEMADEN (National Center for Monitoring and Early Warning of Natural Disasters). This article introduces one of CEMADEN’s pivotal systems for early landslide warnings and traces its developmental timeline. The highlighted SNAKE System epitomizes advancements in digital monitoring, forecasting, and alert mechanisms. By leveraging precipitation data from pluviometers in observed municipalities, the system bolsters early warnings related to potential mass movements, like planar slides and debris flows. Its deployment in CEMADEN’s Situation Room attests to its suitability for overseeing high-risk municipalities, attributed primarily to its robustness and precision.