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Drought risk assessment: Towards drought early warning system and sustainable environment in western Iran

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F20%3A82264" target="_blank" >RIV/60460709:41330/20:82264 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/abs/pii/S1470160X20302132?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/abs/pii/S1470160X20302132?via%3Dihub</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.ecolind.2020.106276" target="_blank" >10.1016/j.ecolind.2020.106276</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Drought risk assessment: Towards drought early warning system and sustainable environment in western Iran

  • Original language description

    Prolonged drought is considered as a creeping natural hazard, which has created a financial burden and unsustainable environment in Iran. Moreover, the effect of drought phenomenon in rural areas is more extensive, causing significant challenges to the rural economy in general and agricultural production in particular. A common strategy to manage drought is based on crisis management (ex-ante). However, for effective drought management, risk management seems to be more in line with drought early warning systems. This quantitative study used risk assessment, which is the function of two elements such as hazard (SPI and SDI indices) and vulnerability (exposure, sensitivity, and adaptive capacity). This study aims to build the foundations for drought early warning systems in limited resource areas such as Kermanshah Township in the northwestern part of Iran. The population of this study comprised of wheat farmers in which 293 farmers were selected using multistage cluster sampling method. In the next st

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50704 - Environmental sciences (social aspects)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    ECOLOGICAL INDICATORS

  • ISSN

    1470-160X

  • e-ISSN

    1872-7034

  • Volume of the periodical

    2020

  • Issue of the periodical within the volume

    114

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    12

  • Pages from-to

    1-12

  • UT code for WoS article

    000559966500006

  • EID of the result in the Scopus database

    2-s2.0-85082828165