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@article{1799591,
author = {Rapant, Petr and Kolejka, Jaromír},
article_location = {Basel},
article_number = {15},
doi = {http://dx.doi.org/10.3390/rs13152943},
keywords = {flash flood; flash flooding hazard; qualitative hazard forecasting; weather radar; early warning},
language = {eng},
journal = {Remote Sensing},
title = {Dynamic Pluvial Flash Flooding Hazard Forecast Using Weather Radar Data},
url = {https://www.mdpi.com/2072-4292/13/15/2943},
volume = {13},
year = {2021}
}
TY - JOUR
ID - 1799591
AU - Rapant, Petr - Kolejka, Jaromír
PY - 2021
TI - Dynamic Pluvial Flash Flooding Hazard Forecast Using Weather Radar Data
JF - Remote Sensing
VL - 13
IS - 15
SP - 2943
EP - 2943
PB - MDPI
KW - flash flood
KW - flash flooding hazard
KW - qualitative hazard forecasting
KW - weather radar
KW - early warning
UR - https://www.mdpi.com/2072-4292/13/15/2943
N2 - Pluvial flash floods are among the most dangerous weather-triggered disasters, usually affecting watersheds smaller than 100 km2, with a short time to peak discharge (from a few minutes to a few hours) after causative rainfall. Several warning systems in the world try to use this time lag to predict the location, extent, intensity, and time of flash flooding. They are based on numerical hydrological models processing data collected by on-ground monitoring networks, weather radars, and precipitation nowcasting. However, there may be areas covered by weather radar data, in which the network of ground-based precipitation stations is not sufficiently developed or does not even exist (e.g., in an area covered by portable weather radar). We developed a method usable for designing an early warning system based on a different philosophy for such a situation. This method uses weather radar data as a 2D signal carrying information on the current precipitation distribution over the monitored area, and data on the watershed and drainage network in the area. The method transforms (concentrates) the 2D signal on precipitation distribution into a 1D signal carrying information on potential runoff distribution along the drainage network. For sections of watercourses where a significant increase in potential runoff can be expected (i.e., a significant increase of the 1D signal strength is detected), a warning against imminent flash floods can be possibly issued. The whole curve of the potential runoff development is not essential for issuing the alarm, but only the significant leading edge of the 1D signal is important. The advantage of this procedure is that results are obtained quickly and independent of any on-ground monitoring system; the disadvantage is that it does not provide the exact time of the onset of a flash flooding or its extent and intensity. The generated alert only warns that there is a higher flash flooding hazard in a specific section of the watercourse in the coming hours. The forecast is presented as a dynamic map of the flash flooding hazard distribution along the segments of watercourses.
ER -
RAPANT, Petr and Jaromír KOLEJKA. Dynamic Pluvial Flash Flooding Hazard Forecast Using Weather Radar Data. Online. \textit{Remote Sensing}. Basel: MDPI, 2021, vol.~13, No~15, p.~2943-2960. Available from: https://dx.doi.org/10.3390/rs13152943.
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