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Evaluation of Susceptibility by Mass Movements through Stochastic and Statistical Methods for a Region of Bucaramanga, Colombia

Valencia Ortiz, Joaquín Andrés; Martínez-Graña, Antonio Miguel; Méndez, Lenny Mejía 1
1 Geophysikalisches Institut (GPI), Karlsruher Institut für Technologie (KIT)

Abstract:

Mass movements are one of the hydrometeorological phenomena with the most negative impacts on the study area, and their evaluation through the calculation of susceptibility provides a tool of vital importance within territorial planning and disaster risk management on natural and anthropic environments. Their evaluation took algorithms designed within stochastic and statistical methods, such as the artificial neural network, the bivariate statistical method, and the logistic regression method, which integrate inherent variables (geoenvironmental characterization) against events or dependent variables. This correlation simulates regions with a probability of occurrence of mass movement under training or weight assignment. Its construction for this study took, as a basis, 50% of the events (test) and 50% of the events (validation) randomly and with equivalent area distribution against the inherent variables. As a result, it was observed that the bivariate method presented a good performance in spatial prediction. This model presents values of AUC = 82.2% (test) and AUC = 76.9% (validation), grouping a total of 591 events of the 856 events in the high category (69%). ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000163636
Veröffentlicht am 31.10.2023
Originalveröffentlichung
DOI: 10.3390/rs15184567
Scopus
Zitationen: 7
Web of Science
Zitationen: 7
Dimensions
Zitationen: 7
Cover der Publikation
Zugehörige Institution(en) am KIT Geophysikalisches Institut (GPI)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2023
Sprache Englisch
Identifikator ISSN: 2072-4292
KITopen-ID: 1000163636
Erschienen in Remote Sensing
Verlag MDPI
Band 15
Heft 18
Seiten 4567
Vorab online veröffentlicht am 16.09.2023
Schlagwörter susceptibility; mass movements; geoenvironmental characterization; basins; stochastic; statistical
Nachgewiesen in Dimensions
Scopus
Web of Science
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