Research ArticleOpen AccessGoogle Scholar indexed
The SNAKE System: CEMADEN’s Landslide Early Warning System (LEWS) Mechanism
CEMADEN—National Center for Monitoring and Early Warning of Natural Disasters, General Coordination of Research and Development, São José dos Campos, Brazil
CEMADEN—National Center for Monitoring and Early Warning of Natural Disasters, General Coordination of Research and Development, São José dos Campos, Brazil
CEMADEN—National Center for Monitoring and Early Warning of Natural Disasters, General Coordination of Research and Development, São José dos Campos, Brazil
CEMADEN—National Center for Monitoring and Early Warning of Natural Disasters, General Coordination of Research and Development, São José dos Campos, Brazil
CEMADEN—National Center for Monitoring and Early Warning of Natural Disasters, General Coordination of Research and Development, São José dos Campos, Brazil
CEMADEN—National Center for Monitoring and Early Warning of Natural Disasters, General Coordination of Research and Development, São José dos Campos, Brazil
CEMADEN—National Center for Monitoring and Early Warning of Natural Disasters, General Coordination of Research and Development, São José dos Campos, Brazil
CEMADEN—National Center for Monitoring and Early Warning of Natural Disasters, General Coordination of Research and Development, São José dos Campos, Brazil
Department of Mathematical Sciences, University of Bath, Bath, UK
CEMADEN—National Center for Monitoring and Early Warning of Natural Disasters, General Coordination of Research and Development, São José dos Campos, Brazil
CEMADEN—National Center for Monitoring and Early Warning of Natural Disasters, General Coordination of Research and Development, São José dos Campos, Brazil
- 1 CEMADEN—National Center for Monitoring and Early Warning of Natural Disasters, General Coordination of Research and Development, São José dos Campos, Brazil
- 2 CEMADEN—National Center for Monitoring and Early Warning of Natural Disasters, General Coordination of Research and Development, São José dos Campos, Brazil
- 3 CEMADEN—National Center for Monitoring and Early Warning of Natural Disasters, General Coordination of Research and Development, São José dos Campos, Brazil
- 4 CEMADEN—National Center for Monitoring and Early Warning of Natural Disasters, General Coordination of Research and Development, São José dos Campos, Brazil
- 5 CEMADEN—National Center for Monitoring and Early Warning of Natural Disasters, General Coordination of Research and Development, São José dos Campos, Brazil
- 6 CEMADEN—National Center for Monitoring and Early Warning of Natural Disasters, General Coordination of Research and Development, São José dos Campos, Brazil
- 7 CEMADEN—National Center for Monitoring and Early Warning of Natural Disasters, General Coordination of Research and Development, São José dos Campos, Brazil
- 8 CEMADEN—National Center for Monitoring and Early Warning of Natural Disasters, General Coordination of Research and Development, São José dos Campos, Brazil
- 9 Department of Mathematical Sciences, University of Bath, Bath, UK
- 10 CEMADEN—National Center for Monitoring and Early Warning of Natural Disasters, General Coordination of Research and Development, São José dos Campos, Brazil
- 11 CEMADEN—National Center for Monitoring and Early Warning of Natural Disasters, General Coordination of Research and Development, São José dos Campos, Brazil
International Journal of Geosciences·Volume 14 (2023)·Pages 1146–1159·Published 13 November 2023·DOI10.4236/ijg.2023.1411058
Copy link · social · email
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.
KeywordsNatural DisastersLandslide Early Warning System (LEWS)SNAKE SystemCEMADENBrazil
- Marengo, J.A., Alcantara, E., Cunha, A.P., Seluchi, M., Nobre, C.A., Dolif, G., Goncalves, D., De Assis Dias, M., Cuartas, L.A., Bender, F., Ramos, A.M., Mantovani, J.R., Alvalá, R.C. and Moraes, O.L. (2023) Flash Floods and Landslides in the City of Recife, Northeast Brazil after Heavy Rain on May 25-28, 2022: Causes, Impacts, and Disaster Preparedness. Weather and Climate Extremes, 25, Article ID: 100545. https://doi.org/10.1016/j.wace.2022.100545
- 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
- Debortoli, N.S., et al. (2016) índice de Vulnerabilidade aos Desastres Naturais no Brasil, no contexto das Mudanças Climáticas. In: Teixeira, B.S., Orsini, J.A.M. and da Cruz, M.R., Eds., Modelagem Climática e Vulnerabilidades Setoriais à Mudança do Clima no Brasil, MCTI, Brasília, Vol. 1, 321-386.
- De Assis Dias, M.C., et al. (2018) Estimation of Exposed Population to Landslides and Floods Risk Areas in Brazil, on an Intra-Urban Scale. International Journal of Disaster Risk Reduction, 31, 449-459. https://doi.org/10.1016/j.ijdrr.2018.06.002
- Marengo, J.A., Jones, R., Alves, L. and Valverde, M. (2009) Future Change of Temperature and Precipitation Extremes in South America as Derived from the PRECIS Regional Climate Modeling System. International Journal of Climatology, 29, 2241-2255. https://doi.org/10.1002/joc.1863
- Puente, B., Brasil, F. and Alpaca, N. (2022) Tragédia em Petrópolis completa três meses neste domingo. CNN Brasil, Rio de Janeiro. https://www.cnnbrasil.com.br/nacional/tragedia-em-petropolis-completa-tres-meses-neste-domingo
- Bortolozo, C.A., Andrade, M.R.M., Mendes, T.S.G., Egas, H.M., Moraes, M.A.E., Pryer, T., Prieto, C.C., Metodiev, D., Simões, S.J.C. and Mendes, R.M. (2022) The Tragedy of Morro do Centenário in Petrópolis—RJ, Brazil (February 15, 2022): Landslide Complexity Analyzed from a Multidisciplinary Perspective. The AGU 2022 Fall Meeting, Chicago, 12-16 December 2022, NH15B-07. https://agu.confex.com/agu/fm22/meetingapp.cgi/Paper/1122883
- Andrade, M.R.M., Bortolozo, C.A., Mendes, R.M. and Metodiev, D. (2023) Interpretação da Variação da Umidade do Solo Monitorado Pela PCD Geotecnica Ur12 Cohab II no Evento Meteo-rológico de Maio de 2022 em Recife/PE. In: III Encontro Nacional de Desastres, 2023, Niteroi. Anais do III Encontro Nacional de Desastres.