CNH2-S: Water-mediated coupling of natural-human systems: drought and water allocation across spatial scales

CNH2-S：水介导的自然-人类系统耦合：跨空间尺度的干旱和水分配

• 批准号: 2009922
• 负责人: Ben Livneh
• 金额: $ 74.33万
• 依托单位: University of Colorado at Boulder
• 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: 2020-09-01 至 2025-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2009922&HistoricalAwards=false
• 关键词: CNH2; Water; mediated; coupling; natural

In many parts of the country, rivers are the primary water source for uses such as irrigation, recreation, cities, and power generation. Each water use has a different economic value. Also, the withdrawal of water from each river may follow a different institutional rule-system, for example private ownership of ‘water rights’ versus a public system of water allocation. Differences in the value of water combined with the local rule-system can lead to more- or less-productive outcomes, both economically and in terms of environmental sustainability. The effects of these differences are not well understood across scales and climate regimes, but it is known that any differences will be exacerbated during periods of water scarcity, e.g. droughts. To investigate these interactions, this research plan combines models of hydrology, infrastructure, and economics for different river systems and evaluates outcomes following a range of water allocation systems. The investigated water allocation systems span a spectrum ranging from more rigid systems based on established water rights, to those in which water goes to the highest-value uses. The modeling framework permits analyzing systems at different spatial scales and for rivers that primarily receive water from snowmelt versus rainfall. As populations grow and climate changes, the rules used to manage water will need to evolve and adapt, underscoring the importance of this research.The demand for water exceeds supply for many river systems in the drought-prone western U.S. This shortfall necessitates enhanced knowledge of the linkages and feedbacks between the natural variations in water availability and the human decisions that govern water movement in these stream-supplied systems. In these systems, water is used for agriculture, recreation, municipal uses, power generation, and other activities—each with a different valuation of water. Variations in the natural system, in particular drought, constrain the total amount of water available for human use. Water allocation rules and available water infrastructure connect the natural and human components. The proposed effort will advance knowledge of how hydrologic, climatic and economic processes jointly determine the value and allocation of water, across a range of drought intensities and spatial scales. Previous studies have shown that feedbacks and thresholds influence the coupling between hydrologic and societal systems. Yet, development and evaluation of advanced modeling approaches is needed to more fully understand the implications of human-natural interactions for different watersheds. The proposed research will develop a new system for modeling water-focused coupled human and natural systems that utilizes an operational water allocation model to link the hydrologic and economic components. This architecture will enable a direct evaluation of how two contrasting agent-based models of human behavior (microeconomic versus institutional-based rules) yield different outcomes across a range of conditions and scales. The growing demands for water and changing climate will require new ways of managing water, highlighting the importance of this research.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.

在主要水源的许多部分中水分分配。当地的规则系统可以导致或较少生产的结果，在经济上和这些差异的影响方面都无法在尺度上得到充分了解，气候制度差异将在水稀缺期间加剧，调查国际F的水文学，基础设施和经济学针对一系列水分配系统的不同河流系统结果。在高中，在高中。在美国西部易用的西部时代，对水的需求超过了水的供应和人类决定之间的反馈。用途，发电和其他活动 - 具有不同的估值水的含量。 。用于建模以水为中心的人类和自然系统建模的新系统，该系统利用模型将水文和经济学连接起来，这种架构将评估两个基于人类行为的基于人类行为的模型如何基于人类行为的规则）在条件和量表的各种情况下产生不同的结果。对水的需求不断增长，需要新的水来管理这项研究。该奖项反映了NSF的幻想，并被认为是值得通过评估的智力优点和更广泛的影响的审查标准。

项目成果

Investigating the Role of Snow Water Equivalent on Streamflow Predictability during Drought

研究干旱期间雪水当量对径流可预测性的作用

• DOI: 10.1175/jhm-d-21-0229.1
• 发表时间: 2022
• 期刊: Journal of Hydrometeorology
• 影响因子: 3.8
• 作者: Modi, Parthkumar A.;Small, Eric E.;Kasprzyk, Joseph;Livneh, Ben
• 通讯作者: Livneh, Ben

Water Allocation, Return Flows, and Economic Value in Water-Scarce Environments: Results from a Coupled Natural-Human System Model

缺水环境中的水分配、回流和经济价值：自然-人类耦合系统模型的结果

• DOI: 10.3390/w14203280
• 发表时间: 2022
• 期刊: Water
• 影响因子: 3.4
• 作者: Wobus, Cameron;Small, Eric;Carbone, Jared C.;Modi, Parthkumar;Kamen, Hannah;Szafranski, William;Livneh, Ben
• 通讯作者: Livneh, Ben