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Landslide Databases as Tools for Integrated Assessment of Landslide Risk

  • Martin Klose

Part of the Springer Theses book series (Springer Theses)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Martin Klose
    Pages 1-24
  3. Martin Klose
    Pages 45-58
  4. Martin Klose
    Pages 59-105
  5. Martin Klose
    Pages 107-141

About this book

Introduction

Landslide risk is a pressing societal issue that is still poorly understood.This doctoral thesis presents a novel approach to landslide risk assessment that explores the various dimensions of landslide risk in an integrated perspective. The research approach introduced here is tailored for use with landslide databases and Geographic Information Systems (GIS). A landslide susceptibility model is at the heart of this new approach, enabling to identify and delineate areas at risk of landslides and to assess infrastructure exposure. Temporal landslide hazard is derived from landslide frequency statistics and a hydrological simulation approach to estimate triggering thresholds. These methods are integrated into a powerful toolset for cost modeling that uses historical data to compile, model, and extrapolate damage costs on different spatial scales over time. The combination of this toolset with techniques to analyze fiscal cost impacts supports integrated risk assessment by quantifying the economic relevance of landslide losses.

Keywords

Data Mining and Landslide Databases Frequency Statistics Regional Landslide Geographic Information Systems (GIS) Geohazards and Landslide Risk Geohazards and Urban Planning Hydrological Triggers and Landslide Infrastructures Integrated Risk Assessment Landslide Impacts and Damage Costs Susceptibility Models Vulnerability and Exposure of Critical

Authors and affiliations

  • Martin Klose
    • 1
  1. 1.Applied Physical GeographyUniversity of VechtaVechtaGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-20403-1
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Earth and Environmental Science
  • Print ISBN 978-3-319-20402-4
  • Online ISBN 978-3-319-20403-1
  • Series Print ISSN 2190-5053
  • Series Online ISSN 2190-5061
  • Buy this book on publisher's site
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