STUDY OF CONTRIBUTING AREAS OF THE CRITICAL POINTS IN LOCALITIES WITH THE OCCURRENCE OF FLASH FLOODS

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00020711%3A_____%2F23%3A10154924" target="_blank" >RIV/00020711:_____/23:10154924 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.geomorfologie.cz/materialy/konference/sgr_2023.pdf" target="_blank" >https://www.geomorfologie.cz/materialy/konference/sgr_2023.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

STUDY OF CONTRIBUTING AREAS OF THE CRITICAL POINTS IN LOCALITIES WITH THE OCCURRENCE OF FLASH FLOODS

Popis výsledku v původním jazyce

Flash floods are one of the most destructive types of floods (Borga et al., 2014). The impact of flash floods depends on the causative rainfall but also on the physiographic parameters of the catchments (Šercl, 2009; Borga et al., 2014; Halásová and Brázdil, 2020). Therefore, the main goal of this study is to analyze the physiographic parameters of contributing areas of the critical points, which have been hit by flash floods in the past. The database of flash floods occurrence in the years 2000-2020 was created for the study area of the Zlín region, which follows the database of flash floods done by Halásová and Brázdil (2020) in Moravia and Silesia for the period 1801-2000. Identification of localities, where flash floods are dangerous for built-up areas, was done by Drbal et al. (2009) by the methodology of critical points. For 37 of the chosen contributing areas of the critical points which have been hit by flash floods in the past, a database of physiographic parameters and land use has been made. The attention was focused on the statistical evaluation of physiographic parameters, which have been determined as high-risk parameters, causing the formation and a dangerous course of flash floods. The analyzed physiographic parameters are the area of a river basin, the slope of the basin, the basin&apos;s shape coefficient, the length of the talweg, the longitudinal slope of the talweg, proportion of arable land, forest area, maximum altitude, Melton index, and CNII. A cluster analysis, Principal component analysis, and factor analysis were used for a statistical evaluation. Cluster analysis established four clusters with similar characteristics among the groups. Principal component analysis and factor analysis established the quality of the variable&apos;s representation and the relationship between the variables themselves.

Název v anglickém jazyce

STUDY OF CONTRIBUTING AREAS OF THE CRITICAL POINTS IN LOCALITIES WITH THE OCCURRENCE OF FLASH FLOODS

Popis výsledku anglicky

Flash floods are one of the most destructive types of floods (Borga et al., 2014). The impact of flash floods depends on the causative rainfall but also on the physiographic parameters of the catchments (Šercl, 2009; Borga et al., 2014; Halásová and Brázdil, 2020). Therefore, the main goal of this study is to analyze the physiographic parameters of contributing areas of the critical points, which have been hit by flash floods in the past. The database of flash floods occurrence in the years 2000-2020 was created for the study area of the Zlín region, which follows the database of flash floods done by Halásová and Brázdil (2020) in Moravia and Silesia for the period 1801-2000. Identification of localities, where flash floods are dangerous for built-up areas, was done by Drbal et al. (2009) by the methodology of critical points. For 37 of the chosen contributing areas of the critical points which have been hit by flash floods in the past, a database of physiographic parameters and land use has been made. The attention was focused on the statistical evaluation of physiographic parameters, which have been determined as high-risk parameters, causing the formation and a dangerous course of flash floods. The analyzed physiographic parameters are the area of a river basin, the slope of the basin, the basin&apos;s shape coefficient, the length of the talweg, the longitudinal slope of the talweg, proportion of arable land, forest area, maximum altitude, Melton index, and CNII. A cluster analysis, Principal component analysis, and factor analysis were used for a statistical evaluation. Cluster analysis established four clusters with similar characteristics among the groups. Principal component analysis and factor analysis established the quality of the variable&apos;s representation and the relationship between the variables themselves.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

10511 - Environmental sciences (social aspects to be 5.7)

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

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