Bortolozo, C.A., Souza, I.A., Andrade, M.R.M., Mendes, T.S.G., Dolif, G., Pryer, T., Simões, S.J.C., Mendes, R.M. and Metodiev, D. (2022) The Development of a Landslide Alert System Based on the Prediction of Soil Moisture in Critical Cities in Brazil—Preliminary Results with the Cemaden’s Observation Network. The AGU 2022 Fall Meeting, Chicago, 12-16 December 2022, NH42C-0437.
https://agu.confex.com/agu/fm22/meetingapp.cgi/Paper/1120182

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.