Application of satellite precipitation data to model the extreme rainfall-induced landslide event

Thapthai Chaithong, Daisuke Komori

Research output: Contribution to conferencePaperpeer-review

Abstract

Precipitation data are fundamental to generating a landslide hazard map or for back-calculating landslide events. The spatial variation characteristic of precipitation data plays a critical role in the spatial analysis of landslides. Traditionally, observation data from rain-gauge stations and spatial interpolation techniques such as IDW or Kriging are used to generate the spatial data of precipitation. This method can analyze landslide events, but it is limited by the number of rain-gauge stations in the study area and the conditions for the spatial interpolation methods. In recent years, satellite precipitation data have been developed and collected by numerous organizations such as Global Precipitation Measurement (GPM) and the Tropical Rainfall Measuring Mission (TRMM). Satellite precipitation data can provide good regional information about the distribution of rainfall, especially when compared to rain-gauge data. However, there are disadvantages to satellite precipitation data such as coarse resolution and questionable accuracy. The purpose of this study is to propose a conceptual framework for spatial analysis of extreme rainfall-induced landslides using satellite precipitation data from a case study of tropical storm Nanmadol (2017) in the city of Asakura, Fukuoka prefecture, Japan. The satellite precipitation data were calibrated and downscaled to obtain the final rainfall dataset. The rainfall-induced landslide model was developed based on a combination of the Green-Ampt infiltration model and the infinite slope model. According to our calculations, this conceptual framework using satellite precipitation data can identify landslide areas in the city of Asakura, Fukuoka prefecture, Japan.

Original languageEnglish
Publication statusPublished - 2020
Event22nd Congress of the International Association for Hydro-Environment Engineering and Research-Asia Pacific Division: Creating Resilience to Water-Related Challenges, IAHR-APD 2020 - Sapporo, Virtual, Japan
Duration: 2020 Sep 142020 Sep 17

Conference

Conference22nd Congress of the International Association for Hydro-Environment Engineering and Research-Asia Pacific Division: Creating Resilience to Water-Related Challenges, IAHR-APD 2020
Country/TerritoryJapan
CitySapporo, Virtual
Period20/9/1420/9/17

Keywords

  • Extreme rainfall
  • Landslide
  • Satellite precipitation
  • Slope failure
  • Typhoon

ASJC Scopus subject areas

  • Ecology
  • Environmental Engineering

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