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Landslide Databases as Tools for Integrated Assessment of Landslide Risk
Martin Klose
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Description for Landslide Databases as Tools for Integrated Assessment of Landslide Risk
Hardback. Series: Springer Theses. Num Pages: 156 pages, 7 black & white illustrations, 28 colour illustrations, biography. BIC Classification: KCN; RGW; RNR. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 11. Weight in Grams: 426.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
2015
Publisher
Springer International Publishing AG Switzerland
Number of pages
156
Condition
New
Series
Springer Theses
Number of Pages
156
Place of Publication
Cham, Switzerland
ISBN
9783319204024
SKU
V9783319204024
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Martin Klose
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, ... Read more
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