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Dynamical Flash Flood Risk Forecast

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27350%2F17%3A10236721" target="_blank" >RIV/61989100:27350/17:10236721 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27350/18:10236721 RIV/68145535:_____/18:00506923

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007/978-3-319-61297-3_27" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-61297-3_27</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-61297-3_27" target="_blank" >10.1007/978-3-319-61297-3_27</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Dynamical Flash Flood Risk Forecast

  • Original language description

    Flash floods represent very dynamical natural phenomenon. Mostly, they are the result of torrential rains which can rise suddenly in any part of a country and are tough to predict. Of course, there are many weather forecasting systems, but their spatial and temporal resolution is usually insufficient for these purposes. There are also monitoring systems which can either register precipitation over the ground (a network of rain gauge stations) or runoff in riverbeds (a network of hydrometric stations). Again, spatial (and possibly temporal) resolution is not sufficient, and in the case of runoff monitoring, there is a substantial delay between actual rainfall and registration of runoff in riverbeds. And, of course, when the hydrometric station registers higher runoff than the flash floods is running or even over. From the point of early warning, all these systems reveal disadvantages. Aside from these systems, there is one which provides us with timely information about the spatial and temporal distribution of precipitation intensity over the ground. That is weather radar. We will demonstrate possible usage of these data for dynamic prediction of flash flood risk distribution in space and time over the monitored area. Proper processing of these data in combination with soil saturation indicator established using Flash flood guidance methodology developed by the US Hydrologic Research Center can generate timely information usable for early warning with a substantially reduced level of false warnings.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10501 - Hydrology

Result continuities

  • Project

    <a href="/en/project/VG20132015106" target="_blank" >VG20132015106: Disaster management support scenarios using geoinformation technologies</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Lecture notes in geoinformation and cartography. Volume 1

  • ISBN

    978-3-319-61296-6

  • ISSN

    1863-2246

  • e-ISSN

    1863-2351

  • Number of pages

    8

  • Pages from-to

    373-381

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Ostrava

  • Event date

    Mar 22, 2017

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article