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Climate Change Impacts on Sediment Yield and Debris‐Flow Activity in an Alpine Catchment
Author(s) -
Hirschberg Jacob,
Fatichi Simone,
Bennett Georgina L.,
McArdell Brian W.,
Peleg Nadav,
Lane Stuart N.,
Schlunegger Fritz,
Molnar Peter
Publication year - 2021
Publication title -
journal of geophysical research: earth surface
Language(s) - English
Resource type - Journals
eISSN - 2169-9011
pISSN - 2169-9003
DOI - 10.1029/2020jf005739
Subject(s) - environmental science , climate change , debris flow , debris , sediment , precipitation , hydrology (agriculture) , surface runoff , drainage basin , geology , geomorphology , ecology , geography , meteorology , oceanography , geotechnical engineering , cartography , biology
Climate change impacts on sediment production and transfer processes on hillslopes and through channels are governed by possible changes in precipitation, runoff, and air temperature. These hydrological and geomorphological impacts are difficult to predict in temperature‐sensitive Alpine environments. In this study, we combined a stochastic weather generator model with the most current climate change projections to feed a hillslope‐channel sediment cascade model for a major debris‐flow system in the Swiss Alps (the Illgraben). This allowed us to quantify climate change impacts and their uncertainties on sediment yield and the number of debris flows at hourly temporal resolution. We show that projected changes in precipitation and air temperature lead to a reduction in both sediment yield (−48%) and debris‐flow occurrence (−23%). This change is caused by a decrease in sediment supply from hillslopes, which is driven by frost‐weathering. Additionally, we conduct model experiments that show the sensitivity of projected changes in sediment yield and debris‐flow hazard to basin elevation, with important implications for assessing natural hazards and risks in mountain environments. Future changes in hydrological and sediment fluxes are characterized by high uncertainty, mainly due to irreducible internal climate variability. Therefore, this stochastic uncertainty needs to be considered in climate change impact assessments for geomorphic systems.