Abstract
An early warning system has been developed to predict rainfall-induced shallow landslides over Java Island, Indonesia. The prototyped early warning system integrates three major components: (1) a susceptibility mapping and hotspot identification component based on a land surface geospatial database (topographical information, maps of soil properties, and local landslide inventory, etc.); (2) a satellite-based precipitation monitoring system (http://trmm.gsfc.nasa.gov) and a precipitation forecasting model (i.e., Weather Research Forecast); and (3) a physically based, rainfall-induced landslide prediction model SLIDE. The system utilizes the modified physical model to calculate a factor of safety that accounts for the contribution of rainfall infiltration and partial saturation to the shear strength of the soil in topographically complex terrains. In use, the land-surface “where” information will be integrated with the “when” rainfall triggers by the landslide prediction model to predict potential slope failures as a function of time and location. In this system, geomorphologic data are primarily based on 30-m Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data, digital elevation model (DEM), and 1-km soil maps. Precipitation forcing comes from both satellite-based, real-time National Aeronautics and Space Administration (NASA) Tropical Rainfall Measuring Mission (TRMM), and Weather Research Forecasting (WRF) model forecasts. The system’s prediction performance has been evaluated using a local landslide inventory, and results show that the system successfully predicted landslides in correspondence to the time of occurrence of the real landslide events. Integration of spatially distributed remote sensing precipitation products and in-situ datasets in this prototype system enables us to further develop a regional, early warning tool in the future for predicting rainfall-induced landslides in Indonesia.
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References
Baum RL, Savage WZ, Godt JW (2002) TRIGR—a Fortran program for transient rainfall infiltration and grid-based regional slope-stability analysis. U.S. Geological Survey Open File Report
Christanto N, Hadmoko DS, Westen CJ, Lavigne F, Sartohadi J, Setiawan MA (2008) Characteristic and behavior of rainfall induced landslides in Java Island, Indonesia: an overview. Geophys Res Abstr 11
Dietrich WE, Montgomery DR (1998) SHALSTAB: a digital terrain model for mapping shallow landslide potential. NCASI (National Council of the Paper Industry for Air and Stream Improvement) Technical Report, February 1998, p 29
Fredlund DG, Rahardjo H (1991) Calculation procedures for slope stability analyses involving negative pore-water pressures. Proc. Int. Conf. on Slope Stability Engineering, Development Applications, Isle of Wight, pp 43–50
Fredlund DG, Xing A, Fredlund MD, Barbour SL (1996) The relationship of the unsaturated soil shear strength to the soil-water characteristic curve. Can Geotech J 33(3):440–448
Hong Y, Adler R, Huffman G (2006) Evaluation of the potential of NASA multi-satellite precipitation analysis in global landslide hazard assessment. Geophys Res Lett 33:L22402. doi:10.1029/2006GRL028010
Hong Y, Adler RF (2007) Towards an early-warning system for global landslides triggered by rainfall and earthquake. Int J Remote Sens 28(16):3713–3719
Iverson RM (2000) Landslide triggering by rain infiltration. Water Resour Res 36(7):1897–1910
Kirschbaum DB, Adler R, Hong Y, Hill S, Lerner-Lam AL (2009a) A global landslide catalog for hazard applications—method, results and limitations. doi:10.1007/s11069-009-9401-4
Kirschbaum D, Adler B, Hong Y, Lerner-Lam A (2009b) Evaluation of a preliminary satellite-based landslide hazard algorithm using global landslide inventories. Nat Hazards Earth Syst Sci 9:673–686
Lu N, Godt JW (2008) Infinite-slope stability under steady unsaturated conditions. Water Resour Res 44:W11404. doi:10.1029/2008WR006976
Michalakes J, Chen S, Dudhia J, Hart L, Klemp J., Middlecoff J, Skamarock W (2001) Development of a next generation regional weather research and forecast model. In: Zwieflhofer W, Kreitz N (eds) Developments in Teracomputing: Proceedings of the Ninth ECMWF Workshop on the Use of High Performance Computing in Meteorology. World Scientific, River Ridge. pp 269–276
Montrasio L, Valentino R (2008) A model for triggering mechanisms of shallow landslides. Nat Hazards Earth Syst Sci 8:1149–1159
Sidle RC, Wu W (1999) Simulating effects of timber harvesting on the temporal and spatial distribution of shallow landslides. Z Geomorph NF 43:185–201
Skamarock WC, Klemp JB, Dudhia J, Gill DO, Barker DM, Wang W, Powers JG (2005) A description of the advanced research WRF version 2. NCAR Tech. Note NCAR/TN-4681STR, p 94
Wardani SPR, Kodoatie RJ (2008) Disaster management in Central Java Province, Indonesia. In: Liu D, Chu (eds) Geotechnical engineering for disaster mitigation and rehabilitation. Springer, Berlin
Acknowledgement
Support for this study from NASA Headquarter Applied Science Program and International Programme on Landslides (IPL C105: Early Warning of Landslides) are acknowledged for providing in situ landslide inventory data and field investigation. We also thank the satellite remote sensing from NASA and USGS.
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Liao, Z., Hong, Y., Wang, J. et al. Prototyping an experimental early warning system for rainfall-induced landslides in Indonesia using satellite remote sensing and geospatial datasets. Landslides 7, 317–324 (2010). https://doi.org/10.1007/s10346-010-0219-7
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DOI: https://doi.org/10.1007/s10346-010-0219-7