Shallow landslides often occur duringheavy rainfall events, especially in areas ofmountainous terrain, in which soil’s hydrologicalcondition dominantly controls the shallowlandslide mechanism. In areas subject to shallowlandslides and operational landslide‐hydrologicalmonitoring as well as warning system is currentlyno in place, catchment scale hydrologicalmodelling that uses recent advance in satellitebasedrainfall information is one of new, low costand innovative technologies for the establishmentof an early shallow landslide‐warning system.Therefore, this paper is primarily concerned withthe potential capability analyses of a physically baseddistributed hydrological model that uses30‐minute current satellite‐based rainfallintensity, QMORPH, prepared by the NationalOceanic and Atmospheric Administration(NOAA) for soil saturation dynamic and shallowlandslide predictions at a large catchment area. Aframework for predicting the dynamic soilsaturation and its effect on landsliding initiationwas developed using a grid‐cell based distributedkinematic wave rainfall‐runoff model and infiniteslope instability approach. The potentialapplicability of the model for those purposes wastested and evaluated in the upland tropical basin,namely Upper Citarum River basin (2310 km2),Indonesia.
In Proceedings of the SATREPS Workshop on Landslides, pp. 238-245, 29-30 July 2014, Hanoi, Vietnam International Consortium on Landslides (ICL)
(2014)