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Evaluation of Landslide Inventory Information: Extreme Precipitation and Global Patterns

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Landslide Science and Practice

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Abstract

This study has identified an increase in the number of reported rainfall-triggered landslides in 2010 based on a global database of reports compiled since 2007. Three test areas are identified as having an increased number of landslide reports, including Central America, the Himalayan Arc, and central eastern China, and are compared with precipitation signatures from Tropical Rainfall Measuring Mission (TRMM) data at monthly and daily time scales for a record from 1998 to 2010. Several test statistics confirm that the monthly and daily rainfall patterns were anomalous for 2010 and closely mirror the occurrence of landslide reports over each region. Findings suggest that with additional landslide information and rainfall data, we may be able to better define relationships between extreme precipitation and landslide activity at regional and global scales.

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Notes

  1. 1.

    GLC information and documentation is available at http://trmm.gsfc.nasa.gov/publications_dir/potential_landslide.html

  2. 2.

    www.gpm.nasa.gov

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Acknowledgments

The authors greatly appreciate the individuals who helped to develop the GLC: Stephanie Hill, Teddy Allen, and David Adler. This work was supported by the GPM mission and NASA’s Applied Sciences Program.

Author information

Authors and Affiliations

  1. Hydrological Sciences Branch, NASA Goddard Space Flight Center, Greenbelt, MD, USA

    Dalia Kirschbaum

  2. Earth Science Interdisciplinary Center, University of Maryland, College Park, MD, USA

    Robert Adler

Authors
  1. Dalia Kirschbaum
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  2. Robert Adler
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Corresponding author

Correspondence to Dalia Kirschbaum .

Editor information

Editors and Affiliations

  1. Geological Survey of Italy, ISPRA - Italian Institute for Environmen, Rome, Italy

    Claudio Margottini

  2. ICL - International Consortium on Landsl, Florence, Italy

    Paolo Canuti

  3. Kyoto University Uji-Campus, Uji, Kyoto, Japan

    Kyoji Sassa

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Kirschbaum, D., Adler, R. (2013). Evaluation of Landslide Inventory Information: Extreme Precipitation and Global Patterns. In: Margottini, C., Canuti, P., Sassa, K. (eds) Landslide Science and Practice. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31313-4_17

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