000727903 000__ 02880cam\a2200457Ii\4500
000727903 001__ 727903
000727903 005__ 20230306140942.0
000727903 006__ m\\\\\o\\d\\\\\\\\
000727903 007__ cr\cn\nnnunnun
000727903 008__ 150626s2015\\\\sz\ab\\\ob\\\\000\0\eng\d
000727903 020__ $$a9783319204031$$qelectronic book
000727903 020__ $$a3319204033$$qelectronic book
000727903 020__ $$z9783319204024
000727903 035__ $$aSP(OCoLC)ocn911911995
000727903 035__ $$aSP(OCoLC)911911995
000727903 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dN$T$$dGW5XE$$dIDEBK$$dYDXCP$$dUPM$$dEBLCP$$dAZU
000727903 049__ $$aISEA
000727903 050_4 $$aQE599.2
000727903 08204 $$a551.3/07$$223
000727903 1001_ $$aKlose, Martin,$$eauthor.
000727903 24510 $$aLandslide databases as tools for integrated assessment of landslide risk$$h[electronic resource] /$$cMartin Klose.
000727903 264_1 $$aCham :$$bSpringer,$$c2015.
000727903 300__ $$a1 online resource :$$billustrations, maps.
000727903 336__ $$atext$$btxt$$2rdacontent
000727903 337__ $$acomputer$$bc$$2rdamedia
000727903 338__ $$aonline resource$$bcr$$2rdacarrier
000727903 4901_ $$aSpringer theses,$$x2190-5061
000727903 500__ $$a"Doctoral thesis accepted by the University of Vechta, Germany."
000727903 504__ $$aIncludes bibliographical references.
000727903 5050_ $$aIntroduction -- Landslide Databases -- State of Research and the Case of Germany -- Study Area -- Methodology -- Results -- Synthesis -- Towards Integrated Assessment of Landslide Risk.
000727903 506__ $$aAccess limited to authorized users.
000727903 520__ $$aThis doctoral thesis presents a novel approach to landslide risk assessment that explores the various dimensions of landslide risk in an integrated perspective. The research approach introduced here is tailored for use with landslide databases and Geographic Information Systems (GIS). A landslide susceptibility model is at the heart of this new approach, enabling to identify and delineate areas at risk of landslides and to assess infrastructure exposure. Landslide risk is a pressing societal issue that is still poorly understood. Temporal landslide hazard is derived from landslide frequency statistics and a hydrological simulation approach to estimate triggering thresholds. These methods are integrated into a powerful toolset for cost modeling that uses historical data to compile, model, and extrapolate damage costs on different spatial scales over time. The combination of this toolset with techniques to analyze fiscal cost impacts supports integrated risk assessment by quantifying the economic relevance of landslide losses.
000727903 588__ $$aOnline resource; title from PDF title page (viewed June 29, 2015).
000727903 650_0 $$aLandslide hazard analysis$$xData processing.
000727903 650_0 $$aLandslides$$xRisk assessment.
000727903 650_0 $$aLandslides$$xPrevention.
000727903 830_0 $$aSpringer theses.
000727903 852__ $$bebk
000727903 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-20403-1$$zOnline Access$$91397441.1
000727903 909CO $$ooai:library.usi.edu:727903$$pGLOBAL_SET
000727903 980__ $$aEBOOK
000727903 980__ $$aBIB
000727903 982__ $$aEbook
000727903 983__ $$aOnline
000727903 994__ $$a92$$bISE