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The 2020 glacial lake outburst flood at Jinwuco, Tibet: causes, impacts, and implications for hazard and risk assessment

机译:金武贺市的2020次冰川湖爆发洪水:对危害和风险评估的原因,影响和影响

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We analyze and reconstruct a recent glacial lake outburst flood (GLOF) process chain on 26 June 2020, involving the moraine-dammed proglacial lake – Jinwuco (30.356 ° ?N, 93.631 ° ?E) in eastern Nyainqentanglha, Tibet, China. Satellite images reveal that from 1965 to 2020, the surface area of Jinwuco has expanded by 0.2?km 2 ( + 56?%) to 0.56?km 2 and subsequently decreased to 0.26?km 2 ( ? 54?%) after the GLOF. Estimates based on topographic reconstruction and sets of published empirical relationships indicate that the GLOF had a volume of 10?million cubic meters, an average breach time of 0.62?h, and an average peak discharge of 5602?m 3 /s at the dam. Based on pre- and post-event high-resolution satellite scenes, we identified a large debris landslide originating from western lateral moraine that was most likely triggered by extremely heavy, south-Asian-monsoon-associated rainfall in June 2020. We back-calculate part of the GLOF process chain, using the GIS-based open-source numerical simulation tool r.avaflow. Two scenarios are considered, assuming a debris-landslide-induced impact wave with overtopping and resulting retrogressive erosion of the moraine dam (Scenario?A), as well as retrogressive erosion without a major impact wave (Scenario?B). Both scenarios are in line with empirically derived ranges of peak discharge and breach time. The breaching process is characterized by a slower onset and a resulting delay in Scenario?B compared to Scenario?A. Comparison of the simulation results with field evidence points towards Scenario B, with a peak discharge of 4600?m 3 /s. There were no casualties from this GLOF, but it caused severe destruction of infrastructure (e.g., roads and bridges) and property losses in downstream areas. Given the clear role of continued glacial retreat in destabilizing the adjacent lateral moraine slopes and directly enabling the landslide to deposit into the expanding lake body, the GLOF process chain can be plausibly linked to anthropogenic climate change, while downstream consequences have been enhanced by the development of infrastructure on exposed flood plains. Such process chains could become more frequent under a warmer and wetter future climate, calling for comprehensive and forward-looking risk reduction planning.
机译:我们于2020年6月26日分析并重建了最近的冰川湖突出洪水(GLOF)过程链,涉及森林·瓦(Moraine-Damed Proglacial Lake - Jinwuco)(30.356°?N,93.631°e)在中国西藏,西藏,中国。卫星图像显示,从1965年到2020年,JinWuco的表面积已扩展为0.2Ωpm2(+56Ω%)至0.56Ωmp2,随后在GLOF之后减少至0.26μm2(Δ54Ω%)。基于地形重建的估计和公布的经验关系集表明,GLOF的体积为10?百万立方米,平均泄露时间为0.62Ω·h,平均峰值放电5602?m 3 / s在大坝处。基于事后的高分辨率卫星场景,我们确定了源自西部羊水的大型碎片滑坡,这是最有可能在2020年6月的极度沉重,南亚季风相关降雨引发的。我们回到计算一部分GLOF处理链,使用基于GIS的开源数值模拟工具R.avaFlow。考虑了两种情景,假设碎片 - 滑坡诱导的冲击波具有泛展,并导致冰碛大坝(情景?a)的倒退侵蚀,以及没有重大冲击波的倒退侵蚀(情景?b)。这两种情况都与经验衍生的峰值放电和突破时间相符合。突发过程的特征在于,与场景相比,场景速度较慢,结果延迟?a。模拟结果与现场证据指向场景B的仿真结果,峰值放电4600?M 3 / s。此GLOF没有伤亡,但它引起了严重破坏了基础设施(例如,道路和桥梁)和下游地区的财产损失。鉴于持续冰川撤退的明确作用在稳定地稳定的侧湿冰雪坡上,直接使滑坡能够存放在扩张湖泊中,GLOF过程链可以合理地与人为气候变化相连,而开发的下游后果则得到了增强的下游后果暴露洪水平原上的基础设施。在温暖和潮湿的未来气候下,这种过程链可能变得更加频繁,呼吁全面和前瞻性的风险降低规划。

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