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    2000—2022年念青唐古拉山西段冰川物质平衡变化研究

    Variations in glacier mass balance in the western Nyainqentanglha Range from 2000 to 2022

    • 摘要: 冰川物质平衡作为气候变化的敏感指标,对于区域水资源管理以及冰川灾害防治具有重要意义。近年来,在青藏高原地区气候加速变暖、冰川急剧退缩的背景下,念青唐古拉山西段冰川的物质平衡变化成为研究的重点。该文采用大地测量法,利用资源三号光学立体测绘数据和航天飞机雷达地形测绘任务(shuttle Radar topography mission, SRTM)地形数据获取2000—2022年念青唐古拉山西段的冰川高程变化和物质平衡变化情况。结果表明,2000—2022年念青唐古拉山西段冰川整体呈现消融状态,高程变化为-9.90±0.38 m,物质平衡变化为-0.38±0.03 m·w.e./a,其中北坡和南坡的物质平衡变化分别为-0.48±0.12 m·w.e./a和-0.35±0.04 m·w.e./a,北坡冰川物质平衡损失大于南坡。该文验证了高质量光学立体测绘卫星数据在估算山地冰川年际物质平衡的可行性,获取了念青唐古拉山西段冰川物质平衡的最新监测结果,为该地区水资源管理提供了数据基础。

       

      Abstract: Glacier mass balance, a sensitive indicator of climate change, holds significant importance for regional water resource management and glacier hazard prevention. Recent years have witnessed intensified climate warming and rapid glacier retreat in the Tibetan Plateau. However, the variations of glacier mass balance in the western Nyainqentanglha Range remained poorly understood. Given this, this study investigated the variations in glacier elevation and mass balance from 2000 to 2022 in the western Nyainqentanglha Range. These variations were derived from the optical stereo mapping data obtained by the Ziyuan-3 satellite and topographic data obtained by the Shuttle Radar Topography Mission (SRTM) using the geodetic method. The results indicate that the glaciers in the western Nyainqentanglha Range experienced an overall ablation from 2000 to 2022, with variations in elevation and mass balance estimated to be -9.90 ± 0.38 m and -0.38±0.03 m·w.e./a, respectively. Specifically, the north-facing slope exhibited a mass balance change of -0.48±0.12 m·w.e./a while the south-facing slope showed -0.35±0.04 m·w.e./a, indicating greater mass balance loss on the north-facing slope. This study verified the feasibility of high-quality optical stereo mapping satellite data to estimate the interannual mass balance of mountain glaciers. Moreover, it obtained the latest monitored glacier mass balance in the western Nyainqentanglha Range, providing a data basis for water resource management in this region.

       

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