Vše

Co hledáte?

Vše
Projekty
Výsledky výzkumu
Subjekty

Rychlé hledání

  • Projekty podpořené TA ČR
  • Významné projekty
  • Projekty s nejvyšší státní podporou
  • Aktuálně běžící projekty

Chytré vyhledávání

  • Takto najdu konkrétní +slovo
  • Takto z výsledků -slovo zcela vynechám
  • “Takto můžu najít celou frázi”

The role of snow and spring moisture conditions in terms of geomorphic activity inferred from tree-ring based chronologies in Central European mid-mountains

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F22%3AA2302G19" target="_blank" >RIV/61988987:17310/22:A2302G19 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://www.sciencedirect.com/science/article/pii/S034181622200426X?casa_token=_4Qvpisa_uQAAAAA:ZY7nAtWOiiMmnSivchPoE4Pdw9cqKTXuDGK0ES_zZsqkJo0lqbaLn1xJ7yABvktYeRmINdb5TZI" target="_blank" >https://www.sciencedirect.com/science/article/pii/S034181622200426X?casa_token=_4Qvpisa_uQAAAAA:ZY7nAtWOiiMmnSivchPoE4Pdw9cqKTXuDGK0ES_zZsqkJo0lqbaLn1xJ7yABvktYeRmINdb5TZI</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.catena.2022.106440" target="_blank" >10.1016/j.catena.2022.106440</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    The role of snow and spring moisture conditions in terms of geomorphic activity inferred from tree-ring based chronologies in Central European mid-mountains

  • Popis výsledku v původním jazyce

    The role of snow is underrated in the dendrogeomorphic research in terms of the interpretation of the climate factors responsible for the geomorphic activity. We analysed snow parameters and the combined effect of spring and summer climate variables to interpret their role in debris flow/flood and flow-like landslide initiation in two Central European mid-mountain regions. We revisited the tree-ring based chronologies based on a total of 1043 trees for four debris flow/flood catchments and four flow-like landslide bodies. Three approaches were used to determine the event year, including a floating event-response index and different weighted index thresholds. In addition, data from precipitation and streamflow gauges were used to identify the best indicators of rapid snow melting and find the best explanatory climate factors during event years using logistic regression. We identified 24–40 event years with hydrogeomorphic activity and 10–29 years with flow-like landslide reactivations during 1961–2017. The amount of melted snowpack and rain-on-snow during spring were considered the best rapid snowmelt parameters obtained from the precipitation gauges due to highest correlations with the stream gauge data (R = 0.69–0.70). We identified very likely rapid snowmelt in seven debris flow/flood event years and six landslide event years since 1981. Furthermore, high maximum snowpack in spring combined with extreme one-day rainfall in summer were the best explanatory factors for hydrogeomorphic activity, but probably not during the high-magnitude debris flows, which were more dependent on the extreme summer rainfall alone. Landslide reactivations were most likely to occur during years with extreme one-day rainfall events in May to September preceded by a wet period since the last day of continuous snow cover.

  • Název v anglickém jazyce

    The role of snow and spring moisture conditions in terms of geomorphic activity inferred from tree-ring based chronologies in Central European mid-mountains

  • Popis výsledku anglicky

    The role of snow is underrated in the dendrogeomorphic research in terms of the interpretation of the climate factors responsible for the geomorphic activity. We analysed snow parameters and the combined effect of spring and summer climate variables to interpret their role in debris flow/flood and flow-like landslide initiation in two Central European mid-mountain regions. We revisited the tree-ring based chronologies based on a total of 1043 trees for four debris flow/flood catchments and four flow-like landslide bodies. Three approaches were used to determine the event year, including a floating event-response index and different weighted index thresholds. In addition, data from precipitation and streamflow gauges were used to identify the best indicators of rapid snow melting and find the best explanatory climate factors during event years using logistic regression. We identified 24–40 event years with hydrogeomorphic activity and 10–29 years with flow-like landslide reactivations during 1961–2017. The amount of melted snowpack and rain-on-snow during spring were considered the best rapid snowmelt parameters obtained from the precipitation gauges due to highest correlations with the stream gauge data (R = 0.69–0.70). We identified very likely rapid snowmelt in seven debris flow/flood event years and six landslide event years since 1981. Furthermore, high maximum snowpack in spring combined with extreme one-day rainfall in summer were the best explanatory factors for hydrogeomorphic activity, but probably not during the high-magnitude debris flows, which were more dependent on the extreme summer rainfall alone. Landslide reactivations were most likely to occur during years with extreme one-day rainfall events in May to September preceded by a wet period since the last day of continuous snow cover.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    10508 - Physical geography

Návaznosti výsledku

  • Projekt

  • Návaznosti

    S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2022

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    CATENA

  • ISSN

    0341-8162

  • e-ISSN

  • Svazek periodika

  • Číslo periodika v rámci svazku

    September

  • Stát vydavatele periodika

    NL - Nizozemsko

  • Počet stran výsledku

    16

  • Strana od-do

  • Kód UT WoS článku

    000832990300003

  • EID výsledku v databázi Scopus

    2-s2.0-85132381525