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RESEARCH PRODUCT
Mapping Susceptibility to Debris Flows Triggered by Tropical Storms: A Case Study of the San Vicente Volcano Area (El Salvador, CA)
Mario Ernesto Reyes-martínezAbel Alexei Argueta-plateroEdoardo RotiglianoJacqueline Yamileth Rivera-ayalaClaudio MercurioChiara MartinelloChristian Conoscentisubject
Multivariate Adaptive Regression Splines (MARS)Multivariate adaptive regression splineslow-pressure system 96EReceiver operating characteristicSettore GEO/04 - Geografia Fisica E GeomorfologiaStormLandslideMars Exploration ProgramDebrisDebris flowdebris flowsSan Vicente volcanodebris flowEl Salvadorlandslide susceptibilitytropical storm IdaTropical cycloneGeomorphologyGeologydescription
In this study, an inventory of storm-triggered debris flows performed in the area of the San Vicente volcano (El Salvador, CA) was used to calibrate predictive models and prepare a landslide susceptibility map. The storm event struck the area in November 2009 as the result of the simultaneous action of low-pressure system 96E and Hurricane Ida. Multivariate Adaptive Regression Splines (MARS) was employed to model the relationships between a set of environmental variables and the locations of the debris flows. Validation of the models was performed by splitting 100 random samples of event and non-event 10 m pixels into training and test subsets. The validation results revealed an excellent (area under the receiver operating characteristic (ROC) curve (AUC) = 0.80) and stable (AUC std. dev. = 0.01) ability of MARS to predict the locations of the debris flows which occurred in the study area. However, when using the Youden&rsquo
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2021-01-31 | Earth |