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利用遥感和水动力模型进行冰川湖溃决洪水风险评估:以印度西喜马拉雅地区萨特莱杰河流域为例

Glacial lake outburst flood risk assessment using remote sensing and hydrodynamic modeling: a case study of Satluj basin, Western Himalayas, India.

作者信息

Rawat Manish, Jain Sanjay Kumar, Ahmed Rayees, Lohani Anil Kumar

机构信息

Department of Water Resources Development & Management, Indian Institute of Technology Roorkee, Roorkee, 247664, India.

Water Resources System Division, National Institute of Hydrology, Roorkee, 247664, India.

出版信息

Environ Sci Pollut Res Int. 2023 Mar;30(14):41591-41608. doi: 10.1007/s11356-023-25134-1. Epub 2023 Jan 12.

DOI:10.1007/s11356-023-25134-1
PMID:36633748
Abstract

Glacier-associated hazards are becoming a common and serious challenge to the high mountainous regions of the world. Glacial lake outburst floods (GLOFs) are one of the most serious unanticipated glacier hazards, with the potential to release a huge amount of water and debris in a short span of time, resulting in the loss of lives, property, and severe damage to downstream valleys. The present study used multi-temporal Landsat and Google earth imageries to analyze the spatio-temporal dynamism of the selected glacial lake (moraine-dammed) in the Satluj basin of Western Himalayas. Furthermore, GLOF susceptibility of the lake was assessed using a multi-criteria decision-based method. The results show that the lake area has increased from 0.11 to 0.26 km over the past 28 years from 1990 to 2018. The susceptibility index value for the lake was calculated as 0.75, which indicates that the lake is highly susceptible to the GLOF. The depth and volume of the lake were estimated to be 16 m and 57 × 10 m, respectively, using an empirical formula. HEC-RAS, HECGeo-RAS, and Arc-GIS software were utilized in this study to perform unsteady flow analysis and to determine the GLOF impact on the downstream area. The worst-case GLOF scenario (breach width of 75 m) was revealed during an overtopping failure of the moraine dam, resulted in a peak discharge of 4060 m/s and releasing a total water volume of 57 × 10 m. The breach hydrograph has been routed to calculate the spatial and temporal distribution of peak flood, inundation depth, velocity, water surface elevation, and flood peak arrival time along the river channel. The analysis further reveals that the routed flood waves reach the nearest settlement, i.e., Rajpur town, situated at a distance of 102 km in the downstream valley of the lake at 6 h after the beginning of the lake breach event with a peak discharge/flood of 1757 m/s and maximum flow velocity of 1.5 m/s. With the ongoing climate warming and glacier retreat, moraine-dammed lakes are becoming more hazardous and thus increasing the total threat. Therefore, it is mandatory to monitor and assess such lakes at regular intervals of time to lessen the disastrous impacts of GLOFs on the livelihood and infrastructure in the downstream valleys. The findings of this study will aid in the creation of risk management plans, preparatory tactics, and risk reduction techniques for GLOF hazards in the region.

摘要

与冰川相关的灾害正成为世界高山地区常见且严峻的挑战。冰川湖突发洪水(GLOFs)是最严重的意外冰川灾害之一,有可能在短时间内释放大量的水和碎屑,导致人员伤亡、财产损失以及对下游山谷造成严重破坏。本研究利用多时相陆地卫星和谷歌地球图像,分析了西喜马拉雅萨特卢杰河流域选定的冰碛堰塞湖的时空动态变化。此外,采用基于多准则决策的方法评估了该湖发生GLOF的易发性。结果表明,在1990年至2018年的过去28年里,该湖面积从0.11平方千米增加到了0.26平方千米。该湖的易发性指数值计算为0.75,这表明该湖极易发生GLOF。利用经验公式估算出该湖的深度和容积分别为16米和57×10立方米。本研究使用HEC-RAS、HECGeo-RAS和Arc-GIS软件进行非恒定流分析,并确定GLOF对下游地区的影响。在冰碛坝漫顶溃决期间,揭示了最不利的GLOF情景(溃口宽度为75米),导致峰值流量为4060立方米/秒,总泄水量为57×10立方米。对溃口水文过程进行演算,以计算沿河道的洪峰、淹没深度、流速、水面高程和洪水峰值到达时间的空间和时间分布。分析进一步表明,演算后的洪水波在湖泊溃决事件开始6小时后到达距离湖泊下游山谷102千米处的最近定居点,即拉杰布尔镇,峰值流量/洪水为1757立方米/秒,最大流速为1.5米/秒。随着气候持续变暖以及冰川退缩,冰碛堰塞湖正变得更加危险,从而增加了总体威胁。因此,必须定期对这类湖泊进行监测和评估,以减轻GLOFs对下游山谷生计和基础设施的灾难性影响。本研究结果将有助于制定该地区GLOF灾害的风险管理计划、应对策略和减灾技术。

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