Climate warming is constantly causing hydro-meteorological perturbations,especially in high-altitude mountainous regions,which lead to the occurrences of landslides.The impact of climatic variables(i.e.,precipitation ...Climate warming is constantly causing hydro-meteorological perturbations,especially in high-altitude mountainous regions,which lead to the occurrences of landslides.The impact of climatic variables(i.e.,precipitation and temperature)on the distribution of landslides in the eastern regions of the Himalayas is poorly understood.To address this,the current study analyzes the relationship between the spatial distribution of landslide characteristics and climatic variables from 2013 to 2021.Google Earth Engine(GEE)was employed to make landslide inventories using satellite data.The results show that 2163,6927,and 9601 landslides were heterogeneously distributed across the study area in 2013,2017,and 2021,respectively.The maximum annual temperature was positively correlated with the distribution of landslides,whereas precipitation was found to have a non-significant impact on the landslide distribution.Spatially,most of the landslides occurred in areas with maximum annual precipitation ranging from 800 to 1600 mm and maximum annual temperature above 15℃.However,in certain regions,earthquake disruptions marginally affected the occurrence of landslides.Landslides were highly distributed in areas with elevations ranging between 3000 and 5000 m above sea level,and many landslides occurred near the lower permafrost limit and close to glaciers.The latter indicates that temperature change-induced freeze-thaw action influences landslides in the region.Temperature changes have shown a positive correlation with the number of landslides within elevations,indicating that temperature affects their spatial distribution.Various climate projections suggest that the region will experience further warming,which will increase the likelihood of landslides in the future.Thus,it is crucial to enhance ground observation capabilities and climate datasets to effectively monitor and mitigate landslide risks.展开更多
堰塞坝会对山区河流的纵剖面产生强烈扰动,在某些情况下,堰塞坝造成的河流纵剖面变陡很容易与构造作用下基准面下降的迁移裂点混淆。然而,在何种程度下堰塞坝会影响基于地貌测量的构造分析还没有系统的研究。因此本文选取青藏高原东缘...堰塞坝会对山区河流的纵剖面产生强烈扰动,在某些情况下,堰塞坝造成的河流纵剖面变陡很容易与构造作用下基准面下降的迁移裂点混淆。然而,在何种程度下堰塞坝会影响基于地貌测量的构造分析还没有系统的研究。因此本文选取青藏高原东缘的雅砻江流域为研究对象,利用遥感影像解译,结合数字高程模型(DEM),来研究堰塞坝对河流纵剖面的影响。通过遥感影像解译和部分野外判识,在雅砻江流域共发现了34个堰塞坝;同时利用TopoToolbox工具包,选用30 m SRTM DEM提取了雅砻江流域河流纵剖面、河流裂点、河流陡峭指数等地貌参数。分析结果表明,有18个堰塞坝与河流裂点在空间上重叠,其中有8个堰塞坝形成高差>100 m的裂点,对河流纵剖面有显著的影响,并发现滑坡坝比泥石流坝对河流纵剖面的影响更大。进一步分析雅砻江主干流及其支流力丘河,发现堰塞坝所在的河段河流陡峭指数相对较大;在排除岩性和断层活动的影响后,发现堰塞作用也能够解释河流裂点的成因。本研究结果指示,在利用DEMs来提取和分析区域构造信息时,必须考虑由堰塞坝引起的河流裂点的影响。展开更多
基金supported by the Second Tibetan Plateau Scientific Expedition and Research (STEP) (2019QZKK0903)the National Natural Science Foundation of China (No. 42071017)+1 种基金the science and technology research program of the Chinese Academy of Sciences' Institute of Mountain Hazards and Environment (No.IMHE-ZDRW-03)the Alliance of International Science Organizations (ANSO) provided funding for a master's degree
文摘Climate warming is constantly causing hydro-meteorological perturbations,especially in high-altitude mountainous regions,which lead to the occurrences of landslides.The impact of climatic variables(i.e.,precipitation and temperature)on the distribution of landslides in the eastern regions of the Himalayas is poorly understood.To address this,the current study analyzes the relationship between the spatial distribution of landslide characteristics and climatic variables from 2013 to 2021.Google Earth Engine(GEE)was employed to make landslide inventories using satellite data.The results show that 2163,6927,and 9601 landslides were heterogeneously distributed across the study area in 2013,2017,and 2021,respectively.The maximum annual temperature was positively correlated with the distribution of landslides,whereas precipitation was found to have a non-significant impact on the landslide distribution.Spatially,most of the landslides occurred in areas with maximum annual precipitation ranging from 800 to 1600 mm and maximum annual temperature above 15℃.However,in certain regions,earthquake disruptions marginally affected the occurrence of landslides.Landslides were highly distributed in areas with elevations ranging between 3000 and 5000 m above sea level,and many landslides occurred near the lower permafrost limit and close to glaciers.The latter indicates that temperature change-induced freeze-thaw action influences landslides in the region.Temperature changes have shown a positive correlation with the number of landslides within elevations,indicating that temperature affects their spatial distribution.Various climate projections suggest that the region will experience further warming,which will increase the likelihood of landslides in the future.Thus,it is crucial to enhance ground observation capabilities and climate datasets to effectively monitor and mitigate landslide risks.
文摘堰塞坝会对山区河流的纵剖面产生强烈扰动,在某些情况下,堰塞坝造成的河流纵剖面变陡很容易与构造作用下基准面下降的迁移裂点混淆。然而,在何种程度下堰塞坝会影响基于地貌测量的构造分析还没有系统的研究。因此本文选取青藏高原东缘的雅砻江流域为研究对象,利用遥感影像解译,结合数字高程模型(DEM),来研究堰塞坝对河流纵剖面的影响。通过遥感影像解译和部分野外判识,在雅砻江流域共发现了34个堰塞坝;同时利用TopoToolbox工具包,选用30 m SRTM DEM提取了雅砻江流域河流纵剖面、河流裂点、河流陡峭指数等地貌参数。分析结果表明,有18个堰塞坝与河流裂点在空间上重叠,其中有8个堰塞坝形成高差>100 m的裂点,对河流纵剖面有显著的影响,并发现滑坡坝比泥石流坝对河流纵剖面的影响更大。进一步分析雅砻江主干流及其支流力丘河,发现堰塞坝所在的河段河流陡峭指数相对较大;在排除岩性和断层活动的影响后,发现堰塞作用也能够解释河流裂点的成因。本研究结果指示,在利用DEMs来提取和分析区域构造信息时,必须考虑由堰塞坝引起的河流裂点的影响。
