Dynamical Flash Flood Risk Forecast

Kód výsledku v 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>

Nalezeny alternativní kódy

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

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Dynamical Flash Flood Risk Forecast

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Dynamical Flash Flood Risk Forecast

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10501 - Hydrology

Projekt

<a href="/cs/project/VG20132015106" target="_blank" >VG20132015106: Scénáře podpory krizového řízení geoinformačními technologiemi</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

Lecture notes in geoinformation and cartography. Volume 1

ISBN

978-3-319-61296-6

ISSN

1863-2246

e-ISSN

1863-2351

Počet stran výsledku

8

Strana od-do

373-381

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Ostrava

Datum konání akce

22. 3. 2017

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

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