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Doctoral Dissertation Research: Modeling Basin-Scale Snow Water Equivalent: Present Day and Projected Future Impacts on Stream Flow in the Oregon Cascades

Doctoral Dissertation Research: Modeling Basin-Scale Snow Water Equivalent: Present Day and Projected Future Impacts on Stream Flow in the Oregon Cascades
博士论文研究:盆地规模雪水当量建模:当前和预计的未来对俄勒冈州瀑布水流的影响
批准号:
0903118
负责人:
Anne Nolin
金额:
$1.19万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-08-01 至 2012-05-31

项目摘要

项目成果

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中文摘要
翻译
积雪融化的喀斯喀特山脉为农业、生态系统和市政当局提供了关键的供水。在整个太平洋西北部,对预测的气候变化影响的分析显示,气温上升导致积雪减少,预计这将导致夏季河流流量的下降。位于俄勒冈州中西部喀斯喀兹的麦肯齐河流域,呈现出美国西部许多河流系统的典型特征。在这个分水岭,农民、鱼类、水电和市政用户争夺有限的水供应,特别是在河流流量最小的夏季。未来的气候预测预计冬季会更温暖但更潮湿,夏季会更长、更干燥,但这些区域预测的分水岭规模的影响还没有得到很好的了解。虽然积雪已经在当地尺度上测量了几十年,但在整个盆地范围内对积雪的准确测量还不存在。由于缺乏流域范围的供水预测,水资源管理者没有决策支持工具来有效地规划气候变化。本博士论文研究项目将采用定量和定性相结合的研究方法(1)量化麦肯齐河流域整个流域的雪水当量分布,并在十年尺度上量化未来潜在气候情景的水当量项目分布;(2)在十年尺度上量化积雪对麦肯齐河流域上游径流的贡献和项目对未来潜在气候情景径流的影响;以及(3)设计并测试由用户输入形成的“水文仪表板”的有效性,以向广泛的利益相关者传播科学信息。这项研究项目将首次提供俄勒冈瀑布中空间分布的雪-水当量的定量表示。它将预测未来雪水当量的分布,并预测这些影响将如何影响河流流量。由于图形水文仪表板的开发将由利益攸关方(包括联邦、州和地方机构、公用事业公司和非营利组织)推动,这一决策支持工具应提高研究的可及性和重要性,并为水资源管理人员提供宝贵的信息。该项目还应帮助科学家学习如何更好地传播他们的研究成果。作为博士论文研究改进奖,该奖项还将提供支持,使有前途的学生建立一个强大的独立研究生涯。
英文摘要
The snowmelt-dominated Cascade Mountains provide critical water supply for agriculture, ecosystems, and municipalities. Throughout the Pacific Northwest, analyses of projected climate change impacts show rising temperatures resulting in diminished snowpacks, which is expected to lead to declines in summertime in-stream flow. The McKenzie River basin, which is located in the central western Cascades of Oregon, exhibits characteristics typical of many river systems in the western United States. In this watershed, farmers, fish, hydropower, and municipal users compete for a limited supply of water, especially in summer when in-stream flows reach a minimum. Future climate projections anticipate warmer but wetter winters and longer, drier summers, but watershed-scale impacts of these regional projections are not well understood. While snowpack has been measured at the local scale for decades, accurate basin-wide measurements of snowpack do not exist. The lack of basin-scale water supply projections leave water resource managers without decision-support tools to plan effectively in the face of climate change. This doctoral dissertation research project will use a mix of quantitative and qualitative research methods (1) to quantify the basin-wide distribution of snow-water equivalent for the McKenzie River watershed and project distributions of -water equivalent for potential future climate scenarios on the decadal scale; (2) quantify snowpack contributions to streamflow in the upper reaches of the McKenzie River watershed and project impacts on stream flow for potential future climate scenarios on the decadal scale; and (3) design and test the effectiveness of a "hydrologic dashboard" shaped by user input to disseminate scientific information to a broad base of stakeholders.This research project will provide the first quantitative representation of spatially distributed snow-water equivalent in the Oregon Cascades. It will project future distributions of snow-water equivalent and predict how these impacts will affect stream flow. Because the development of the graphical hydrologic dashboard will be driven by stakeholder input (including federal, state, and local agencies; public utilities; and non-profit organizations), this decision-support tool should improve the accessibility and saliency of the research and provide water resource managers with valuable information. The project should also assist scientists in learning how to better disseminate their research results. As a Doctoral Dissertation Research Improvement award, this award also will provide support to enable a promising student to establish a strong independent research career.
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会议论文
SRS RN (Track 2): Nevada Water: A Science-With-Society Research and Education Network
NSF Rapid Proposal: Flows of the future: Capitalizing on an extreme weather year to evaluate future summer streamflows in the Cascades
  • 批准号:
    1551483
  • 项目类别:
    Standard Grant
  • 资助金额:
    $4.74万
  • 财政年份:
    2015
  • 负责人:
    Anne Nolin
  • 依托单位:
EAGER PROPOSAL: IceTrendr: An Automated Visualization and Analysis Tool for Mapping Changes in Glacier Extent from Landsat
  • 批准号:
    1449784
  • 项目类别:
    Standard Grant
  • 资助金额:
    $17.93万
  • 财政年份:
    2014
  • 负责人:
    Anne Nolin
  • 依托单位:
Rapid Response Research (RAPID) Proposal to NSF Hydrologic Sciences: Impacts of Forest Fire on Snow Accumulation and Melt
  • 批准号:
    1213612
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.84万
  • 财政年份:
    2012
  • 负责人:
    Anne Nolin
  • 依托单位:
海外基金