利用综合地理统计和空间水文方法评估气候变化对东兴都库什地区冰湖溃决洪水(GLOF)的影响

Mariam Sarwar, Shakeel Mahmood
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摘要

冰川退缩是气候变化的一个主要影响,在世界许多地方都在持续发生,它继续增加了巴基斯坦北部冰湖溃决洪水(GLOF)的风险。巴基斯坦北部山区(包括兴都库什山脉、喜马拉雅山脉和喀喇昆仑山脉)的冰川迅速融化,导致形成了 3044 个冰川湖,其中 33 个被确定为特别容易受到冰湖溃决洪水的影响。本研究采用遥感和地理信息系统 (GIS) 方法绘制冰湖洪水地图并对其进行描述。根据湖泊面积、体积和深度的观测数据,通过统计方法建立了经验方程。只有 Chitral-GL2 和 Swat-G31 这两个湖泊被归类为极有可能发生冰湖溢流的湖泊。通过使用 HEC-RAS 和 HEC-GeoRAS 空间水文模型与地理信息系统遥感相结合的建模技术,对不同湖泊体积下的淹没空间范围和深度进行了评估。分析结果表明,有 20.56 平方公里的总面积容易被冰湖洪水淹没,其中吉德拉尔-GL2 洪水淹没面积为 14.80 平方公里,斯瓦特-GL31 洪水淹没面积为 5.79 平方公里。不同类型的土地受到临界水深的影响,建筑用地和农业用地共 2.7 平方公里,荒地 8.93 平方公里,洪水深度从不足 5 米到超过 15 米不等。
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Assessing the Impact of Climate Change on Glacial Lake Outburst Flood (GLOF) in Eastern Hindu Kush Region Using Integrated Geo-Statistical and Spatial Hydrological Approach
Glacier retreat, a major impact of climate change that continues to occur in many parts of the world, continues to increase the risk of glacial lake outburst floods (GLOFs) in northern Pakistan. The rapid melting of glaciers in the mountains of Northern Pakistan, including the Hindu Kush, the Himalayas and the Karakoram, the rapid melting of glacier has led to the formation of 3044 glacial lakes, with 33 identified as particularly vulnerable to GLOFs. This study uses remote sensing and geographic information systems (GIS) methods for mapping and representing GLOFs. Based on the observational data of lake area, volume, and depth, empirical equations are developed through statistical methods. Only two lakes, Chitral-GL2 and Swat-G31, are classified as lakes with high potential for GLOF. Through modeling techniques using HEC-RAS and HEC-GeoRAS spatial hydrological models integrated with GIS remote sensing, the spatial extent and depth of inundations under different lake volumes are assessed. The analysis reveals that a total area of 20.56 km2 is susceptible to submersion by GLOFs, with Chitral-GL2 flooding area of 14.80 km2 and Swat-GL31 5.79 km2. Different land types are impacted by critical water depths, with built-up and agricultural lands 2.7 km2 totally, and barren lands 8.93 km2 under different flood depths ranging from less than 5 m to over 15 m.
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