Full Record Display for the EPA National Library Catalog

RECORD NUMBER: 187 OF 315

Main Title Landslide Databases as Tools for Integrated Assessment of Landslide Risk [electronic resource] /
Type EBOOK
Author Klose, Martin.
Publisher Springer International Publishing : Imprint: Springer,
Year Published 2015
Call Number GB5000-5030
ISBN 9783319204031
Subjects Geography ; Geology ; Geographical information systems ; Environmental economics
Internet Access
Description Access URL
http://dx.doi.org/10.1007/978-3-319-20403-1
Collation XIV, 156 p. 35 illus., 28 illus. in color. online resource.
Notes Due to license restrictions, this resource is available to EPA employees and authorized contractors only
Contents Notes Introduction -- Landslide Databases-State of Research and the Case of Germany -- Study Area -- Methodology -- Results -- Synthesis-Towards Integrated Assessment of Landslide Risk. 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.
Place Published Cham
Corporate Au Added Ent SpringerLink (Online service)
Title Ser Add Ent Springer Theses, Recognizing Outstanding Ph.D. Research,
Host Item Entry Springer eBooks
PUB Date Free Form 2015
Series Title Untraced Springer Theses, Recognizing Outstanding Ph.D. Research,
BIB Level m
Medium computer
Content text
Carrier online resource
Cataloging Source OCLC/T
OCLC Time Stamp 20150709191644
Language eng
Origin SPRINGER
Type EBOOK
OCLC Rec Leader 02906nam a22004695i 45