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A landslide susceptibility assessment in urban areas based on existing data: an example from the Iguaná Valley, Medellín City, Colombia

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985891%3A_____%2F10%3A00353646" target="_blank" >RIV/67985891:_____/10:00353646 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    A landslide susceptibility assessment in urban areas based on existing data: an example from the Iguaná Valley, Medellín City, Colombia

  • Original language description

    Article provides methodological approach for landslide susceptibility assessment with incomplete input data. It also describes landsldie susceptibility of the study area and suggests important though easy to implement improvements for landslide inventorymapping for future susceptibility assessment.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    DE - Earth magnetism, geodesy, geography

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GP205%2F09%2FP383" target="_blank" >GP205/09/P383: Landslide risk assessment in the urban areas of the Outer Western Carpathians, Czech Republic</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2010

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Natural Hazards and Earth System Sciences

  • ISSN

    1561-8633

  • e-ISSN

  • Volume of the periodical

    10

  • Issue of the periodical within the volume

    10

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    13

  • Pages from-to

  • UT code for WoS article

    000283665500004

  • EID of the result in the Scopus database