NSF Convergence Accelerator Track K: Spatially Resolved Solutions for Field to Regional Irrigation Water Management to Promote Equitable Sharing of Limited Water Resources

NSF 融合加速器轨道 K：田间到区域灌溉用水管理的空间解决方案，以促进有限水资源的公平共享

• 批准号: 2344487
• 负责人: Mekonnen Gebremichael
• 金额: $ 65万
• 依托单位: University of California-Los Angeles
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-03-15 至 2025-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2344487&HistoricalAwards=false
• 关键词: NSF; Convergence; Accelerator; Track; Spatially

In response to the pressing challenge of freshwater scarcity, particularly impacting vulnerable communities, this Convergence Accelerator Track K Project proposes the development of a user-tailored irrigation water management decision-support hub, focusing on Central Valley, California. Utilizing satellite remote sensing, weather forecasts, and soil/crop models, the project aims to provide individual growers with daily irrigation advice at a high spatial resolution, integrating available soil water and crop water demand. Additionally, the tool will offer water districts and regulators aggregated crop water demand and consumption data, supporting regional-level decisions on equitable water allocation. When the proposed tool is developed and distributed for public use, it will help mitigate groundwater depletion, enhance water use efficiency, lower irrigation costs, and contribute to regional water allocations that take into account water equity, water resource availability, and environmental constraints. The project's technical goals encompass stakeholder engagement, conceptual model development, web-based tool creation, and testing and evaluation. Stakeholders will be engaged throughout the research, contributing to design requirements and evaluation analysis. The conceptual model, which integrates innovative remote sensing products, weather forecasts, and user inputs, will guide the development of a web-based decision-support tool. This research will involve creating innovative remote sensing products, such as high-resolution (10-m, daily) data for near-surface soil moisture, root-zone soil moisture, and evapotranspiration based on satellite data. The tool will produce farm-level outputs, including irrigation advice, and regional-level outputs including aggregated water consumption and demand data. The prototype tool will undergo testing on various pilot farms in Central Valley, encompassing diverse climates, crop types, and irrigation methods. This testing phase will include the installation of sensors to measure soil moisture and evapotranspiration data, as well as field campaigns to monitor crop growth conditions and irrigation scheduling decisions. Additionally, economic analysis will be conducted to assess growers' willingness to adopt the tool and quantify its impacts on irrigation efficiency and farm productivity.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.

为了应对淡水稀缺性的紧迫挑战，尤其是影响弱势社区的趋势，这种融合加速器轨道项目提出了一个用户限制的灌溉水管理决策枢纽的开发，重点是加利福尼亚州中部山谷。该项目利用卫星遥感，天气预报和土壤/作物模型，旨在为个人种植者提供高空间分辨率的每日灌溉建议，将可用的土壤水和作物水需求整合在一起。此外，该工具将为水区和监管机构提供汇总的作物水需求和消费数据，从而支持有关公平水分配的区域层面的决定。当提出的工具是开发和分发供公共使用时，它将有助于减轻地下水耗尽，提高用水效率，降低灌溉成本，并促进考虑水权益，水资源可用性和环境限制的区域水分配。该项目的技术目标包括利益相关者参与，概念模型开发，基于Web的工具创建以及测试和评估。利益相关者将在整个研究过程中参与其中，从而有助于设计要求和评估分析。整合创新的遥感产品，天气预报和用户输入的概念模型将指导基于Web的决策支持工具的开发。这项研究将涉及创建创新的遥感产品，例如，基于卫星数据的高分辨率（10-m，每日）数据，用于近地面土壤水分，根区的土壤水分和蒸散液。该工具将产生农场级别的产出，包括灌溉建议以及区域级别的产出，包括汇总的用水量和需求数据。原型工具将对中央山谷的各个飞行员农场进行测试，包括各种气候，农作物类型和灌溉方法。该测试阶段将包括安装传感器来测量土壤水分和蒸散数据，以及监测农作物生长条件和灌溉计划决策的现场运动。此外，将进行经济分析，以评估种植者采用该工具的意愿并量化其对灌溉效率和农场生产率的影响。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影响的评估来评估值得支持的。