Shallow landslide studies generally require a distributed hydrological model
coupled with a slope stability model. For example, a topography-based hydrological model linked with a slope stability model was applied to predict the location of
shallow landslides in a mountain catchment in the Dolomites, Italy (Borga
et al. 1998). SHETRAN is a physically based distributed basin hydrology and
sediment transport model system coupled with a geotechnical stability model to
assess the impact of forest cover on shallow landslides (Bathurst et al. 2010). The
TIN (triangulated irregular network) based Real-Time Integrated Basin Simulator
(tRIBS) implemented with the Stability module and Movement module are also
tools used to simulate spatio-temporal hydrologic processes (infiltration, evapotranspiration, groundwater dynamics and soil moisture conditions) affecting shallow landslides (Arnone et al. 2011). Distributed hydrologic rainfall-runoff models
linked with geotechnical models have also been developed and applied for shallow
landslide prediction using satellite-derived estimated rainfall in the upper Citarum
catchment, Indonesia (Apip et al. 2010). Previous studies show numerous instances
where hydrological rainfall-runoff models coupled with geotechnical models are
developed and applied in large-scale areas for assessing the triggering conditions of
shallow landslides. However, the detail assessment of shallow landslide risk in a
large scale by using the improved hydro-geotechnical model has not been done yet.
This chapter presents a GIS framework and a distributed hydrologicalgeotechnical model that together identify the location and likelihood of shallow
landslide on Kyushu Island, Japan. Additionally, spatial shallow landslide hazard
maps are presented using results from modeling simulations and ArcGIS. The
results of this study provide guidelines for spatial shallow landslide risk analysis.
This chapter is organized in the following sections: Section 11.2 “Methodology”;
Section 11.3 “Application Study in Kyushu Island”; Section 11.4 “Analysis
Results”; Section 11.5 “Discussion”; Section 11.6 “Conclusion”.
11.2 Methodology
This section describes the methodology through which GIS and hydro-geotechnical
modeling systems can be used to analyze shallow landslide risk. GIS is used to
prepare input data and display outputs for the hydro-geotechnical modeling system.
A detailed introduction to hydrological and slope stability models is also given in
this section. The methodology is applied in the context of a large island, Kyushu,
Japan, and results are presented in Sect. 11.3.
11.2.1 GIS Process and Framework of the Modeling System
There are three main parts to the GIS process including Automated Meteorological
Data Acquisition System (AmeDAS) rainfall data, hydrological and soil types and
11 Modelling Shallow Landslide Risk Using GIS and a Distributed. . .
223
coupled with a slope stability model. For example, a topography-based hydrological model linked with a slope stability model was applied to predict the location of
shallow landslides in a mountain catchment in the Dolomites, Italy (Borga
et al. 1998). SHETRAN is a physically based distributed basin hydrology and
sediment transport model system coupled with a geotechnical stability model to
assess the impact of forest cover on shallow landslides (Bathurst et al. 2010). The
TIN (triangulated irregular network) based Real-Time Integrated Basin Simulator
(tRIBS) implemented with the Stability module and Movement module are also
tools used to simulate spatio-temporal hydrologic processes (infiltration, evapotranspiration, groundwater dynamics and soil moisture conditions) affecting shallow landslides (Arnone et al. 2011). Distributed hydrologic rainfall-runoff models
linked with geotechnical models have also been developed and applied for shallow
landslide prediction using satellite-derived estimated rainfall in the upper Citarum
catchment, Indonesia (Apip et al. 2010). Previous studies show numerous instances
where hydrological rainfall-runoff models coupled with geotechnical models are
developed and applied in large-scale areas for assessing the triggering conditions of
shallow landslides. However, the detail assessment of shallow landslide risk in a
large scale by using the improved hydro-geotechnical model has not been done yet.
This chapter presents a GIS framework and a distributed hydrologicalgeotechnical model that together identify the location and likelihood of shallow
landslide on Kyushu Island, Japan. Additionally, spatial shallow landslide hazard
maps are presented using results from modeling simulations and ArcGIS. The
results of this study provide guidelines for spatial shallow landslide risk analysis.
This chapter is organized in the following sections: Section 11.2 “Methodology”;
Section 11.3 “Application Study in Kyushu Island”; Section 11.4 “Analysis
Results”; Section 11.5 “Discussion”; Section 11.6 “Conclusion”.
11.2 Methodology
This section describes the methodology through which GIS and hydro-geotechnical
modeling systems can be used to analyze shallow landslide risk. GIS is used to
prepare input data and display outputs for the hydro-geotechnical modeling system.
A detailed introduction to hydrological and slope stability models is also given in
this section. The methodology is applied in the context of a large island, Kyushu,
Japan, and results are presented in Sect. 11.3.
11.2.1 GIS Process and Framework of the Modeling System
There are three main parts to the GIS process including Automated Meteorological
Data Acquisition System (AmeDAS) rainfall data, hydrological and soil types and
11 Modelling Shallow Landslide Risk Using GIS and a Distributed. . .
223