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

作     者：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 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

作者机构：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 

出 版 物：《International Journal of Geosciences》 (地球科学国际期刊（英文）)

年 卷 期：2023年第14卷第11期

页      面：1146-1159页

学科分类：081803[工学-地质工程] 08[工学] 0818[工学-地质资源与地质工程] 

主　　题：Natural Disasters Landslide Early Warning System (LEWS) SNAKE System CEMADEN Brazil 

摘      要：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.