Dynamical Flash Flood Risk Forecast

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27350%2F18%3A10236721" target="_blank" >RIV/61989100:27350/18:10236721 - isvavai.cz</a>

Alternative codes found

RIV/61989100:27350/17:10236721 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>

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

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10501 - Hydrology

Project

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

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2018

Confidentiality

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

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

000457178200027