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The hydrologic sensitivity of the upper Indus River to glacier changes in the western Karakoram Himalayas.

机译:西部喀喇昆仑山脉喜马拉雅山的印度河上游对冰川变化的水文敏感性。

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摘要

Recent controversy regarding the rates of disappearance of glaciers in the Himalayas, the world's highest mountain chain, has primarily been focused on the eastern Himalayas. Studies carried out in the Central Karakoram Himalayan region suggest an expansion of glaciers. Little information exists about long-term glacier changes and their impact on streamflow in the Karakoram Himalayas where field surveys are difficult due to complex terrain and long term measurements have not been collected. The availability of global remotely sensed and climate datasets in the public domain provides an opportunity for studying large data sparse drainage basins. Following this approach, here I use remotely sensed datasets in combination with observational-based and simulated climate data to estimate glacier changes and their impact on streamflow variability in the Upper Indus Basin (UIB) located in the Karakoram Himalayas.;Using Landsat images acquired between 1977 and 2006 and climate data from the Climate Research Unit (CRU), change detection analysis shows that the extent of perennial snow cover at higher elevations in the Central Karakoram has increased coinciding with a significant increase in winter precipitation and a decrease in summer temperature. Similarly, analysis of glacier thickness change estimated from the Ice, Cloud and Land Elevation Satellite (ICESat) altimeter data available between 2003 and 2008 with respect to the Shuttle Radar Topography Mission (SRTM) elevation data acquired in year 2000 identifies two clear patterns of change in the UIB. Strong thickening rates are observed within highly glacierized northern sub-watersheds (i.e. the Hunza and Shyok River basins), while thinning glaciers are identified in southern sub-watersheds. Statistically significant decreasing streamflow trends identified in all seasons for the Hunza River basin and increasing trends identified in other sub-basins of UIB for the period of 1974 -- 2000 illustrate that observed streamflow response among sub-watersheds is closely related to the existence of distinct patterns in observed glacier changes.;Trend analysis of water equivalence, snowmelt and glacier melt simulated using the Variable Infiltration Capacity (VIC) model, modified to represent glacier storage and melt, clarifies that increasing trends in ice and snow water equivalence and positive glacier thickening rates in the Hunza River basin decrease the melt contribution from higher altitude areas. Conversely, in other sub-basins increasing trends in streamflow are associated with increases in snow and ice melt contributions to the total streamflow. As a result of this study, an improved understanding of the governing factors of annual variability and timing of flows allow us to better assess the impacts of glaciers on streamflow in a changing climate. Additionally, the presented methodology for estimating glacier changes and their impact on streamflow requires relatively few data, mostly derived from global datasets. It therefore can be utilized for other data sparse drainage basins of the world.
机译:关于世界上最高的山脉喜马拉雅山冰川消失速度的最新争议主要集中在喜马拉雅山脉东部。在中部喀喇昆仑山脉喜马拉雅山脉地区进行的研究表明,冰川正在扩大。关于长期冰川变化及其对喀喇昆仑山脉喜马拉雅山河流水流的影响的信息很少,那里由于地形复杂而难以进行实地调查,而且尚未收集长期测量数据。公共领域中全球遥感和气候数据集的可用性为研究大数据稀疏流域提供了机会。按照这种方法,在这里我将遥感数据集与基于观测和模拟的气候数据结合起来,以估算冰川变化及其对位于喀喇昆仑山脉喜马拉雅山上的印度河盆地(UIB)的流量变化的影响。 1977年和2006年以及气候研究部门(CRU)的气候数据,变化检测分析表明,喀喇昆仑中部较高海拔地区的常年积雪程度与冬季降水的显着增加和夏季温度的下降相吻合。同样,根据2000年至2008年间获得的航天飞机雷达地形任务(SRTM)海拔数据,根据冰,云和陆地高程卫星(ICESat)高度计数据估算的冰川厚度变化,得出了两种明显的变化模式在UIB中。在高度冰川化的北部子集水区(即Hunza和Shyok河流域)内观察到了强烈的增厚速率,而在南部子集水区发现了变薄的冰川。从统计上看,浑扎河流域所有季节的径流趋势都有下降趋势,而UIB其他子流域1974-2000年期间有上升趋势,这表明子流域之间观测到的径流响应与独特流域的存在密切相关。观测到的冰川变化的模式;;使用可变渗透能力(VIC)模型模拟​​的水当量,融雪和冰川融化的趋势分析,经修改以代表冰川的存储和融化,阐明了冰和雪水当量的增加趋势以及正的冰川增厚罕萨河流域的降温速率降低了高海拔地区的熔体贡献。相反,在其他子流域,流量增加的趋势与冰雪融化对总流量的贡献增加有关。这项研究的结果是,人们对年度变化和流量时间的控制因素有了更深入的了解,这使我们能够更好地评估气候变化时冰川对河流流量的影响。此外,提出的估算冰川变化及其对河流流量影响的方法需要相对较少的数据,这些数据主要来自全球数据集。因此,它可以用于世界其他稀疏流域数据。

著录项

  • 作者

    Naz, Bibi S.;

  • 作者单位

    Purdue University.;

  • 授予单位 Purdue University.;
  • 学科 Hydrology.;Remote Sensing.;Climate Change.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 206 p.
  • 总页数 206
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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