Evaluation of the potential of NASA multi‐satellite precipitation analysis in global landslide hazard assessment

[1] Intense storms with high-intensity, long-duration rainfall have great potential to trigger rapidly moving landslides, resulting in casualties and property damage across the world. In recent years, through the availability of remotely sensed datasets, it has become possible to conduct global-scale landslide hazard assessment. This paper evaluates the potential of the real-time NASA TRMM-based Multi-satellite Precipitation Analysis (TMPA) system to advance our understanding of, and predictive ability for, rainfall-triggered landslides. Early results show that the landslide occurrences are closely associated with the spatial patterns and temporal distribution of rainfall characteristics. Particularly, the number of landslide occurrences and the relative importance of rainfall in triggering landslides rely on the influence of rainfall attributes (e.g. rainfall climatology, antecedent rainfall accumulation, and intensity-duration of rainstorms). TMPA precipitation data are available in both real-time and post-real-time versions, which are useful to assess the location and timing of rainfall-triggered landslide hazards by monitoring landslide-prone areas while receiving heavy rainfall. For the purpose of identifying rainfall-triggered landslides, an empirical global rainfall intensity-duration threshold is developed by examining a number of landslide occurrences and their corresponding TMPA precipitation characteristics across the world. These early results, in combination with TRMM real-time precipitation estimation system, may form a starting point for developing an operational early warning system for rainfall-triggered landslides around the globe.

[1]  Rex L. Baum,et al.  Rainfall characteristics for shallow landsliding in Seattle, Washington, USA , 2006 .

[2]  Ricardo Neiva d’Orsi,et al.  2,500 operational days of Alerta Rio System: history and technical improvements of Rio de JaneiroWarning System for severe weather , 2004 .

[3]  R. Hardy,et al.  The development of a remote sensing based technique to predict debris flow triggering conditions in the French Alps , 2000 .

[4]  W. Z. Savage,et al.  TRIGRS - A Fortran Program for Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability Analysis, Version 2.0 , 2002 .

[5]  Richard M. Iverson,et al.  Landslide triggering by rain infiltration , 2000 .

[6]  Andrew Simon,et al.  A rainfall intensity-duration threshold for landslides in a humid- tropical environment, Puerto Rico , 1993 .

[7]  J. Coe,et al.  Landslides triggered by Hurricane Mitch in Guatemala -- inventory and discussion , 2001 .

[8]  B. Dick,et al.  The International Federation of Red Cross and Red Crescent Societies , 1992, Tropical doctor.

[9]  W. M. Brown,et al.  Real-Time Landslide Warning During Heavy Rainfall , 1987, Science.

[10]  G. Wieczorek,et al.  Venezuelan debris flow and flash flood disaster of 1999 studied , 2001 .

[11]  J. Parks,et al.  Map showing landslide susceptibility in the Comerio Municipality, Puerto Rico , 1998 .

[12]  Fuchu Dai,et al.  Landslide risk assessment and management: an overview , 2002 .

[13]  Paula L. Gori,et al.  National landslide hazards mitigation strategy : a framework for loss reduction , 2000 .

[14]  Y. Hong,et al.  The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-Global, Multiyear, Combined-Sensor Precipitation Estimates at Fine Scales , 2007 .

[15]  Kevin M. Scott,et al.  Catastrophic precipitation‐triggered lahar at Casita volcano, Nicaragua: occurrence, bulking and transformation , 2005 .

[16]  R. Sidle,et al.  Landslides: Processes, Prediction, and Land Use , 2006 .

[17]  Manfred F. Buchroithner,et al.  Meteorological and earth observation remote sensing data for mass movement preparedness , 2002 .

[18]  J. Coe,et al.  Landslide susceptibility from topography in Guatemala , 2004 .

[19]  Russell H. Campbell,et al.  Soil slips, debris flows, and rainstorms in the Santa Monica Mountains and vicinity, southern California , 1975 .

[20]  Randall W. Jibson,et al.  Debris flows in southern Puerto Rico , 1989 .

[21]  Kerry Gartland,et al.  Book Review: World Disasters Report 1995 International Federation of Red Cross and Red Crescent Societies, Geneva, Switzerland [Book Review] , 1995 .

[22]  J.-P. Renaud,et al.  Geotechnical engineering meeting society's needs , 2001 .

[23]  R. Sidle,et al.  A distributed slope stability model for steep forested basins , 1995 .

[24]  P. Finlay,et al.  The relationship between the probability of landslide occurrence and rainfall , 1997 .

[25]  Jeffrey S. Kargel,et al.  Rapid ASTER Imaging Facilitates Timely Assessment of Glacier Hazards and Disasters , 2003 .

[26]  Andreas Kääb,et al.  Remote sensing based assessment of hazards from glacier lake outbursts: a case study in the Swiss Alps , 2002 .

[27]  N. Caine,et al.  The Rainfall Intensity - Duration Control of Shallow Landslides and Debris Flows , 1980 .

[28]  A. Lagmay,et al.  Scientists investigate recent Philippine landslide , 2006 .

[29]  J. Janowiak,et al.  The Version 2 Global Precipitation Climatology Project (GPCP) Monthly Precipitation Analysis (1979-Present) , 2003 .

[30]  R. Sidle,et al.  Distributed simulations of landslides for different rainfall conditions , 2004 .