TY - GEN
T1 - Predictive Algorithm for Landslide Using MATLAB Simulink
AU - Villalobos, Diego
AU - Gatica, Gustavo
AU - Descote, Pierre Yves
AU - Robledo, Luis F.
AU - Fustos, Ivo
AU - Tapia, Vicente
AU - Jian, Wenbin
AU - Nie, Wen
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - The study of earth movements and their occurrence factors contributes positively to the reduction of damages resulting from disasters caused by landslides, falls or alluvium. The investigation of early warning systems for landslide events that is developed for this case uses main variables for the generation of movement. In this case, the main conditioning factor is the slope, and the triggering factor is the precipitation, measured through the daily precipitation history of the mountain town of San Jose de Maipo, Chile. Using fuzzy logic rules, an algorithm capable of establishing logical relationships between variables with a prediction accuracy ratio of over 88% is developed, which implies that the applied model is efficient at the time of detecting a real warning signal.
AB - The study of earth movements and their occurrence factors contributes positively to the reduction of damages resulting from disasters caused by landslides, falls or alluvium. The investigation of early warning systems for landslide events that is developed for this case uses main variables for the generation of movement. In this case, the main conditioning factor is the slope, and the triggering factor is the precipitation, measured through the daily precipitation history of the mountain town of San Jose de Maipo, Chile. Using fuzzy logic rules, an algorithm capable of establishing logical relationships between variables with a prediction accuracy ratio of over 88% is developed, which implies that the applied model is efficient at the time of detecting a real warning signal.
KW - Early warning systems
KW - Fuzzy logic
KW - Geological hazard
KW - Geological modeling
KW - Landslide
KW - Predictive algorithm
KW - Simulink
UR - http://www.scopus.com/inward/record.url?scp=85187645826&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-48715-6_8
DO - 10.1007/978-3-031-48715-6_8
M3 - Conference contribution
AN - SCOPUS:85187645826
SN - 9783031487149
T3 - Advances in Science, Technology and Innovation
SP - 33
EP - 36
BT - Recent Research on Geotechnical Engineering, Remote Sensing, Geophysics and Earthquake Seismology - Proceedings of the 2nd MedGU, Marrakesh 2022 Volume 3
A2 - Bezzeghoud, Mourad
A2 - Ergüler, Zeynal Abiddin
A2 - Rodrigo-Comino, Jesús
A2 - Jat, Mahesh Kumar
A2 - Kalatehjari, Roohollah
A2 - Bisht, Deepak Singh
A2 - Biswas, Arkoprovo
A2 - Chaminé, Helder I.
A2 - Shah, Afroz Ahmad
A2 - Radwan, A.E.
A2 - Knight, Jasper
A2 - Panagoulia, Dionysia
A2 - Kallel, Amjad
A2 - Turan, Veysel
A2 - Chenchouni, Haroun
A2 - Ciner, Attila
A2 - Gentilucci, Matteo
PB - Springer Nature
T2 - 2nd International conference on Mediterranean Geosciences Union, MedGU 2022
Y2 - 27 November 2022 through 30 November 2022
ER -