Doctoral Dissertation Research: Assessing Factors that Influence Streamflow

博士论文研究：评估影响水流的因素

• 批准号: 2003248
• 负责人: Steven Quiring
• 金额: $ 1.7万
• 依托单位: Ohio State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-06-15 至 2021-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2003248&HistoricalAwards=false
• 关键词: Doctoral; Dissertation; Research; Assessing; Factors; Doctoral; Dissertation; Research; Assessing; Factors

This project will quantify how factors that influence streamflow change over space and time. Streamflow is an important source of water for industrial and domestic uses. Changes and intra-annual variations in streamflow pose management challenges and may cause devastating societal and economic consequences. Therefore, it is necessary to investigate the underlying mechanisms that drive such changes. This project will significantly improve the understanding of the water cycle, support the development of more effective water balance models, and provide improved projections of future water availability. This project will identify areas that face water shortages and require greater priority in future water management efforts. Research findings will be disseminated to local and regional watershed and water resources managers. In addition, the project will promote teaching and training by involving undergraduates in modeling water availability and by supporting an undergraduate research assistant.Unraveling the relative importance of different factors that influence streamflow is essential for a holistic understanding of hydrology. There is a knowledge gap regarding knowing which non-climatic factors are the most important contributors to streamflow variations at various timescales, and how the relative importance of climatic and non-climatic factors varies over time. To address the knowledge gap, this project has three research questions: (1) How does the relative role of climatic and non-climatic drivers change over space and time? (2) What non-climatic factors are the most important and how do they vary over space and time? (3) How will streamflow change in the next thirty years? These questions will be answered using a water balance model combined with statistical analyses across a large number of watersheds in the continental United States. This project will inform adaptive watershed management and will have significant implications for future interactions between water, energy, food security, and human wellbeing.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目将量化影响流流的因素如何随时间和时间变化。水流是工业和家庭用途的重要水源。流量的变化和年龄段的变化构成了管理挑战，并可能导致毁灭性的社会和经济后果。因此，有必要研究驱动这种变化的基本机制。该项目将显着提高对水周期的理解，支持更有效的水平衡模型的发展，并提供改进的未来水利用率的预测。该项目将确定面临水短缺的领域，并需要在未来的水管理工作中获得更高的优先级。研究发现将被传播到地方和地区分水岭和水资源经理。此外，该项目将通过涉及大学生对水的可用性进行建模并支持本科研究助理来促进教学和培训。关于知道哪些非气候因素是各个时间尺度上流量变化的最重要因素，以及气候和非气候因素的相对重要性随时间变化。为了解决知识差距，该项目有三个研究问题：（1）气候和非气候驱动因素的相对作用如何在时空和时间上改变？ （2）哪些非气候因素是最重要的，它们如何在时空和时间上有所不同？ （3）在未来30年中，流汇将如何变化？这些问题将使用水平模型以及在美国大陆的大量流域进行的统计分析来回答。该项目将为自适应分水岭管理提供信息，并将对水，能源，粮食安全和人类福祉之间的未来互动产生重大影响。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的影响来通过评估来支持的。