Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

An Economic and Geographic Appraisal of a Spatial Natural Hazard Risk

A Study of Landslide Mitigation Rules

Bibliographic Data

ID5100376
AuthorsR L Bernknopf (US Geological Survey, MS 922, Reston, VA 22092, USA), Richard Bernknopf (0000-0002-7137-9703, United States Geological Survey), David S Brookshire (University of Wyoming), R H Campbell (US Geological Survey, MS 922, Reston, VA 22092, USA), Carl D Shapiro (0000-0002-1598-6808, United States Geological Survey)
Year1988
Volume20
Issue5
Pages621-631
Publication date1988-05-01
Open AccessYes
TypeARTICLE
VenueEnvironment and Planning A Economy and Space (JOURNAL)
Journal identifiersISSN: 0308-518X • E-ISSN: 1472-3409
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1068/a200621
OpenAlexW2002114100
LanguageEN
References cited2

Natural hazards in the form of landslides are pervasive throughout the United States. Efficient mitigation of natural hazards requires a spatial representation of the risk, based upon the geographic distribution of physical parameters and man-related development activities. Through such a representation, the spatial probability of landslides based upon physical science concepts is estimated for Cincinnati, Ohio. Mitigation programs designed to reduce loss from landslide natural hazards are then evaluated. An optimum mitigation rule is suggested that is spatially selective and is determined by objective measurements of hillside slope and properties of the underlying soil

Business · Cartography · Environmental resource management · Geographic information system · Geography · Geotechnical engineering · Hazard · Landslide · Meteorology · Natural hazard · Remote sensing · Spatial analysis · Agricultural Innovations and Practices · Agricultural risk and resilience · Climate change impacts on agriculture · Computer Science · Environmental Science · Ecology · Geology

  • Limited-dependent and qualitative variables in econometrics

    G S Maddala•Limited-Dependent and Qualitative…•1983

Highly citedNo

Tools

Open DOISci-Hub
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae