Climate change alters snowpack evolution,which in turn influences the likelihood of snow avalanches and flood risks.The lack of systemic observational data on key snow characteristics in high mountains remains a scien...Climate change alters snowpack evolution,which in turn influences the likelihood of snow avalanches and flood risks.The lack of systemic observational data on key snow characteristics in high mountains remains a scientific challenge in terms of systematically elucidating the dynamic chain of variations in climate-snowpack-snow disasters.This restricts our understanding and poses challenges in the prediction of snow-related disaster risks.As such,this study analysed the variations of temperature and snowfall and the physical characteristics of snowpacks based on ground-based observations from the Kunse River Valley situated in the Tianshan Mountains from 1967 to 2021.The results reveal that the temperature increased significantly by 0.32°C per decade(p<0.01)during the snow season,along with more extreme snowfall events.The snow-cover duration was observed to have been shortened by 4.77 d per decade(p<0.01)from 1967 to 2021,which is characterised by later snow-cover onset and earlier snowmelt.Concurrently,average and maximum snow depths increased along with an increase in peak snow water equivalent,thus indicating a higher frequency of extremely scarce or abundant snow years.The low snowpack temperature gradient and earlier snowmelt dates in spring lead to earlier occurrences of snowmelt floods and wet avalanches.As the risks of these events increase,they pose greater threats to farmlands,road transportation,water-electricity infrastructure and several other human activities.Therefore,these insights are critical for providing vital information that can deepen our understanding of the impact of climate change on snowpack characteristics and improve management strategies for snow-related disaster prevention and mitigation.展开更多
基金the Second Tibetan Plateau Scientific Expeditionand ResearchProgram(STEP)(2019QZKK0903)the Young Elite Scientists Sponsorship Program by CAST(2022QNRC001)+2 种基金Xinjiang Key Laboratory of Water Cycle and Utilization in Arid Zone(XJYS0907-2023-24)the National Cryosphere Desert Data Center(2021kf02)Xinjiang Transportation Investment Co.,Ltd.(ZKXFWCG2022060004).
文摘Climate change alters snowpack evolution,which in turn influences the likelihood of snow avalanches and flood risks.The lack of systemic observational data on key snow characteristics in high mountains remains a scientific challenge in terms of systematically elucidating the dynamic chain of variations in climate-snowpack-snow disasters.This restricts our understanding and poses challenges in the prediction of snow-related disaster risks.As such,this study analysed the variations of temperature and snowfall and the physical characteristics of snowpacks based on ground-based observations from the Kunse River Valley situated in the Tianshan Mountains from 1967 to 2021.The results reveal that the temperature increased significantly by 0.32°C per decade(p<0.01)during the snow season,along with more extreme snowfall events.The snow-cover duration was observed to have been shortened by 4.77 d per decade(p<0.01)from 1967 to 2021,which is characterised by later snow-cover onset and earlier snowmelt.Concurrently,average and maximum snow depths increased along with an increase in peak snow water equivalent,thus indicating a higher frequency of extremely scarce or abundant snow years.The low snowpack temperature gradient and earlier snowmelt dates in spring lead to earlier occurrences of snowmelt floods and wet avalanches.As the risks of these events increase,they pose greater threats to farmlands,road transportation,water-electricity infrastructure and several other human activities.Therefore,these insights are critical for providing vital information that can deepen our understanding of the impact of climate change on snowpack characteristics and improve management strategies for snow-related disaster prevention and mitigation.
