Project: Regional rainfall thresholds for landslides forecasting in Peru
Institution: SENAMHI, Peru

Brief description

This document show 3D scatterplot of 3 rainfall variables associated to landslides in Peru triggering by heavy rainfall.

Libraries

library(plotly)
library(dplyr)

Database

# BaseDatos <- read.csv(file = "../8UmbralesLluvias/BaseDatos.csv") %>%
#   mutate(Size=case_when(Class==0~10,Class==1~15))
BaseDatos <- read.csv(file = "BaseDatos.csv") %>%
  mutate(Size=case_when(Class==0~10,Class==1~15))

reg_names <- c("Pacific 1","Pacific 2","Andes 1","Andes 2","Andes 3","Andes 4","Andes 5","Andes 6","Amazon 1","Amazon 2","Amazon 3")
Region_Name <- data.frame(Cluster = 1:11, Region_Name= reg_names)
BaseDatos <- left_join(BaseDatos,Region_Name, "Cluster")

BaseDatos$Region_Name <- forcats::fct_relevel(BaseDatos$Region_Name,levels=reg_names)

3D Scatter plot

Note that the colors show 11 landslides regions for Peru. The marker size shows the difference between rainfall events that trigger a landslides (big size) and rainfall events that no trigger landslides (small size). This is an interactive plot.

This research is supported by the Peruvian National Service of Meteorology and Hydrology (SENMAHI, https://www.gob.pe/senamhi).

The results of this research contribute to the improvement of the mass movement monitoring service SILVIA (https://www.senamhi.gob.pe/?p=monitoreo-silvia).