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Monitoring Ice-dammed Glacier Lake Outburst Floods in the Karakoram Using Visible-Infrared Satellite Remote Sensing Observations

机译:利用可见红外卫星遥感观测监测喀喇昆仑冰阻冰川湖暴发洪水

摘要

Glaciers are an important part of the hydrological cycle because they act as freshwater storage. Glacier ice contains about three-quarters of the world’s freshwater; supplying most of the base flow for rivers originating from high mountains (National Snow & Ice Data Centre, 2015). Glacial Lake Outburst Floods (GLOFs) are one of the common natural hazards in high mountain environments. The lack of a long term and regional GLOF monitoring program in the high mountain, has posed significant challenges in understanding the relationship between glacier mechanics and GLOFs in a changing climate. Remote sensing observations from space offer a promising alternative to reduce the number of in situ field surveys used to monitor glaciers and GLOFs. This thesis contextualizes the physical characteristics and hydrological, climatological, and societal importance of the Karakoram glaciers. Various approaches in GLOF monitoring and modelling are discussed in detail. The resulting objective of this research is to assess the practicality of modeling ice-dammed GLOFs using visible-infrared satellite observations and digital elevation models (DEM) available in the public domain. Kyagar Lake, Lake Virjerab, and the historical 1929 Chong Khumdan event are identified as case studies based on previous GLOF events in the Karakoram. Cloud-free satellite images between 1975 and 2015 were retrieved from the Landsat 2-8 archive. Lake extent isolation was performed using an object-based feature extraction and lake volume was estimated by integrating the feature extraction results with a DEM. GLOF magnitudes were estimated using the Clague and Mathews (1973) empirical model and the Walder and Costa (1996) semi-physical model. Model estimates were compared with limited observation data of flood discharge and lake volumes to evaluate the model performance.This research confirms the practicality of using satellite remote sensing observations to monitor GLOFs through the case studies and historical GLOF reconstruction. The results suggest that further research on integrating radar satellite observation, high resolution DEMs, and a continuous record of river discharge data in the Karakoram mountains, would provide a better understanding of the GLOF dynamics. Multiple upcoming Earth observation satellite missions and the accumulation of current Earth observation data would make possible a long-term and regional scale GLOF monitoring program.
机译:冰川是水文循环的重要组成部分,因为它们起着淡水储存的作用。冰川冰含有全球约四分之三的淡水。为来自高山的河流提供大部分基本流量(国家冰雪数据中心,2015年)。冰河湖爆发洪水(GLOF)是高山环境中常见的自然灾害之一。高山地区缺乏长期和区域性的GLOF监测计划,这在理解气候变化的冰川力学与GLOF之间的关系方面提出了重大挑战。从太空进行的遥感观测为减少用于监测冰川和GLOF的现场实地调查的数量提供了一种有希望的替代方法。本文将喀喇昆仑冰川的物理特征以及水文,气候和社会重要性进行了背景研究。详细讨论了GLOF监视和建模中的各种方法。这项研究的最终目的是,使用在公共领域中可用的可见红外卫星观测数据和数字高程模型(DEM)来评估对冰封的GLOF进行建模的可行性。根据喀喇昆仑山以前的GLOF事件,将案例研究确定为Kyagar湖,Virjerab湖和1929年历史悠久的Chong Khumdan事件。从Landsat 2-8档案中检索了1975年至2015年之间的无云卫星图像。利用基于对象的特征提取进行湖泊范围隔离,并通过将特征提取结果与DEM集成来估计湖泊的体积。使用Clague和Mathews(1973)的经验模型以及Walder和Costa(1996)的半物理模型来估计GLOF的大小。通过将模型估计值与洪水和湖泊流量的有限观测数据进行比较,以评估模型性能。本研究通过案例研究和历史GLOF重建,证实了使用卫星遥感观测来监测GLOF的实用性。结果表明,进一步研究集成雷达卫星观测,高分辨率DEM和对Karakoram山区的河流流量数据进行连续记录,可以更好地了解GLOF动态。即将进行的多次地球观测卫星任务和当前地球观测数据的积累将使长期和区域规模的GLOF监测计划成为可能。

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  • 作者

    Chan Jeffrey;

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  • 年度 2015
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  • 正文语种 en
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