WCR: Quantifying the Impact of Land Use and Climate Change on Groundwater/Surfacewater Interactions in Regional Great Lakes Watersheds

WCR：量化土地利用和气候变化对五大湖流域区域地下水/地表水相互作用的影响

• 批准号: 0233648
• 负责人: David Hyndman
• 金额: --
• 依托单位: Michigan State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-02-01 至 2008-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0233648&HistoricalAwards=false
• 关键词: WCR; Quantifying; Impact; Land; Use

0233648HyndmanChanges in land use and climate are both likely to adversely affect water cycle dynamics, however the potential impact of these changes are rarely quantified in regional watersheds. The PI's propose to explore complex climate-land-water interactions at scales that matter using an integrated modeling approach. Their proposed research will provide insight into the impacts of climate and land use changes separately, and then synergistically, on the spatial and temporal variation of water fluxes throughout regional Great Lakes watersheds. The models will also provide a framework to study the complex processes that control the interactions between surface water and groundwater at a watershed scale. High-resolution stream flow measurements and land use estimates will constrain process-based flow models. Pilot models of two experimental watersheds that drain into the Great Lakes will be refined to predict spatial and temporal dynamics of the water cycle fluxes. The proposed work has high intellectual merit because few studies have: (1) adequately addressed the interaction of climate and land use on water dynamics, (2) fully integrated three-dimensional groundwater and surface water flow models, (3) applied high-resolution stream flow data in a process model framework to estimate recharge rates for different land covers, and (4) developed mechanistic models of land-climate-hydrology interaction at the experimental watershed scale. The proposed work will have significant broader impacts. First, the results will help explain complex relationships between climate, land use and the water cycle at scales where decisions are commonly made. Second, scenarios of land use and climate change will be explored to provide information to local, state, regional and federal agencies. Third, the proposed education activities will provide students with a broad understanding of important climate-land-water interactions through a multidisciplinary environment. Finally, community stakeholders will be provided with information on how their actions impact water cycle dynamics.

[0233648]土地利用和气候变化都可能对水循环动态产生不利影响，但这些变化的潜在影响在区域流域很少被量化。PI建议使用综合建模方法在重要的尺度上探索复杂的气候-陆地-水相互作用。他们提出的研究将深入了解气候和土地利用变化对整个区域五大湖流域水通量时空变化的分别影响，然后协同影响。这些模型还将为研究在流域尺度上控制地表水和地下水相互作用的复杂过程提供一个框架。高分辨率的河流流量测量和土地利用估算将限制基于过程的流量模型。将改进流入五大湖的两个试验流域的试点模型，以预测水循环通量的空间和时间动态。本文的研究具有很高的智力价值，因为很少有研究：(1)充分解决气候和土地利用对水动力学的相互作用，(2)完全整合三维地下水和地表水流量模型，(3)在过程模型框架中应用高分辨率溪流流量数据来估计不同土地覆盖的补给率，以及(4)在实验流域尺度上建立陆地-气候-水文相互作用的机制模型。拟议的工作将产生更广泛的重大影响。首先，这些结果将有助于解释气候、土地利用和水循环之间的复杂关系，而这些关系通常是在尺度上做出决定的。其次，将探索土地利用和气候变化的情景，为地方、州、地区和联邦机构提供信息。第三，拟议的教育活动将通过多学科环境为学生提供对重要的气候-陆地-水相互作用的广泛理解。最后，将向社区利益相关者提供有关其行动如何影响水循环动态的信息。