Spatial modelling of avalanches by application of GIS on selected slopes of the Western Tatra Mts. and Belianske Tatra Mts., Slovakia
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13440%2F16%3A43888414" target="_blank" >RIV/44555601:13440/16:43888414 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/00216208:11310/16:10329182
Výsledek na webu
<a href="http://rcin.org.pl/igipz/Content/58257/WA51_78455_r2016-t89-no1_G-Polonica-Botliziar.pdf" target="_blank" >http://rcin.org.pl/igipz/Content/58257/WA51_78455_r2016-t89-no1_G-Polonica-Botliziar.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.7163/GPol.0047" target="_blank" >10.7163/GPol.0047</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Spatial modelling of avalanches by application of GIS on selected slopes of the Western Tatra Mts. and Belianske Tatra Mts., Slovakia
Popis výsledku v původním jazyce
The avalanches represent a significant and very dynamic process within the Tatra high-mountain landscape. Undoubtedly avalanche run-out distances play a key role in land use planning within avalanche prone areas. The Žiarska valley and Predné Meďodoly valley are considered as one of the most avalanche prone valleys in Tatra Mts. This environment represents an excellent opportunity for studying and modelling extreme avalanche run-outs. Primarily avalanche release zones were estimated by using an existing model proposed by Hreško (1998). This model was modified and calibrated for both valleys. The alpha-beta regression model developed in Norway has been used to estimate avalanche run-outs. Data processing and model calibration have been elaborated in GIS environment. Avenue script for ArcGIS was written to perform automated runout estimation based on alpha-beta regression model. Model managed to estimate run-outs on some slopes while it failed to model run-ups. Finally the results were visualized by creating the fly-through simulations and 3D views. Comparison between model calculation and avalanche cadastre showed correlation.
Název v anglickém jazyce
Spatial modelling of avalanches by application of GIS on selected slopes of the Western Tatra Mts. and Belianske Tatra Mts., Slovakia
Popis výsledku anglicky
The avalanches represent a significant and very dynamic process within the Tatra high-mountain landscape. Undoubtedly avalanche run-out distances play a key role in land use planning within avalanche prone areas. The Žiarska valley and Predné Meďodoly valley are considered as one of the most avalanche prone valleys in Tatra Mts. This environment represents an excellent opportunity for studying and modelling extreme avalanche run-outs. Primarily avalanche release zones were estimated by using an existing model proposed by Hreško (1998). This model was modified and calibrated for both valleys. The alpha-beta regression model developed in Norway has been used to estimate avalanche run-outs. Data processing and model calibration have been elaborated in GIS environment. Avenue script for ArcGIS was written to perform automated runout estimation based on alpha-beta regression model. Model managed to estimate run-outs on some slopes while it failed to model run-ups. Finally the results were visualized by creating the fly-through simulations and 3D views. Comparison between model calculation and avalanche cadastre showed correlation.
Klasifikace
Druh
J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS
CEP obor
—
OECD FORD obor
10508 - Physical geography
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2016
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Geographia Polonica
ISSN
0016-7282
e-ISSN
—
Svazek periodika
89
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
PL - Polská republika
Počet stran výsledku
12
Strana od-do
79-90
Kód UT WoS článku
000409949300007
EID výsledku v databázi Scopus
2-s2.0-84962022339