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Impacts of Climate Change in Snowmelt-Dominated Alpine Catchments: Development and Assessment of Comparative Methods to Quantify the Role of Dynamic Storage and Subsurface Hydrologic Processes

机译:气候变化对融雪为主的高山流域的影响:量化动态存储和地下水文过程作用的比较方法的开发和评估

摘要

Snowmelt-dominated systems are a significant source of water supply for the Western United States. Changes in timing and duration of snowmelt are predicted to continue under climate change; however, the impact this change will have on water resources is not well understood. The ability to compare hydrologic processes across space and time is critical to accurately assess the physical and chemical response of headwater systems to climate change. This dissertation builds upon previous work by using long-term data from two snowmelt dominated catchments to investigate the response of hydrologic processes at different temporal and spatial scales. First, results from an hourly spatially-distributed energy balance snowmelt model were spatially and temporally aggregated to provide daily, catchment-wide snowmelt estimates, which, along with measured discharge and hydrochemical data were used to assess and compare hydrologic processes which occur on an annual scale in two headwater catchments for an eleven year study period. Second, the magnitude and timing of snowmelt, discharge fluxes and hydrochemical data were used to assess and compare inter-annual catchment response in two headwater catchments for an eleven year study period. Third, a pseudoinverse method was developed to compare mineral weathering fluxes in a series of nested sub-catchments over an eleven year study period. Advances from this work include the use of an independently-created energy balance snowmelt model for spatially-distributed hydrologic input for catchment-scale water balance, application of a quantifiable measure of catchment-scale hydrologic flux hysteresis and the development of a method to quantify and compare mineral weathering reactions between source waters across space and time. These methods were utilized to quantify and assess its role of dynamic storage in mitigating climate change response.
机译:融雪为主的系统是美国西部的重要供水来源。预计随着气候变化,融雪时间和持续时间的变化将继续。然而,这种变化将对水资源产生的影响尚不清楚。比较跨时空的水文过程的能力对于准确评估源头系统对气候变化的物理和化学响应至关重要。本文基于先前的工作,利用来自两个融雪为主的流域的长期数据来研究不同时空尺度上水文过程的响应。首先,将时空分布的能量平衡融雪模型的结果在空间和时间上进行汇总,以提供集水区范围内的每日每日融雪估算,再结合测得的流量和水化学数据来评估和比较每年发生的水文过程。在为期11年的研究期内,在两个上游水源流域进行规模化。其次,在十一年的研究期内,利用融雪的大小和时间,排放通量和水化学数据来评估和比较两个上游水源流域的年际流域响应。第三,开发了一种伪逆方法来比较十一年研究期内一系列嵌套子汇水区的矿物风化通量。这项工作的进展包括:使用独立创建的能量平衡融雪模型进行集水规模水平衡的空间分布式水文输入,应用可量化的集水规模水文通量滞后,以及开发一种量化和定量方法。比较跨时空源水之间的矿物风化反应。这些方法被用来量化和评估其动态存储在缓解气候变化响应中的作用。

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    Driscoll Jessica Margit;

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  • 年度 2015
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  • 正文语种 en_US
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