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Landslide Databases as Tools for Integrated Assessment of Landslide Risk

  • Book
  • © 2015

Overview

Authors:
  1. Martin Klose

    1. Applied Physical Geography, University of Vechta, Vechta, Germany

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  • Nominated as an outstanding Ph.D. thesis by the University of Vechta, Germany
  • Presents unique insights into landslide economics
  • Outlines a novel approach to risk assessment
  • Provides statistics of landslide impact in Germany
  • Includes supplementary material: sn.pub/extras

Part of the book series: Springer Theses (Springer Theses)

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Table of contents (6 chapters)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Introduction

    • Martin Klose
    Pages 1-24

  3. Landslide Databases—State of Research and the Case of Germany

    • Martin Klose
    Pages 25-43

  4. Study Area

    • Martin Klose
    Pages 45-58

  5. Methodology

    • Martin Klose
    Pages 59-105

  6. Results

    • Martin Klose
    Pages 107-141

  7. Synthesis—Towards Integrated Assessment of Landslide Risk

    • Martin Klose
    Pages 143-156
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Keywords

About this book

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. Landslide risk is a pressing societal issue that is still poorly understood. 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 theeconomic relevance of landslide losses.

Authors and Affiliations

  • Applied Physical Geography, University of Vechta, Vechta, Germany

    Martin Klose

About the author

Martin Klose received his PhD in Physical Geography from the University of Vechta, Germany. His research interests lie in geohazard databases, landslide risk assessment, and urban planning. Before working on a national landslide database project for Germany, he had been affiliated with the University of Göttingen, Germany. Martin Klose was visiting scientist and student assistant at the U.S. Geological Survey, Potsdam Institute for Climate Impact Research, and Department of Remote Sensing at the University of Würzburg in cooperation with the German Aerospace Center (DLR). He holds a diploma degree in Geography from the University of Würzburg, Germany.

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