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.

为了应对淡水短缺的紧迫挑战，特别是对脆弱社区的影响，这个融合加速器轨道 K 项目建议开发一个用户定制的灌溉水管理决策支持中心，重点关注加利福尼亚州中央谷。该项目利用卫星遥感、天气预报和土壤/作物模型，旨在为个体种植者提供高空间分辨率的日常灌溉建议，整合可用土壤水和作物需水量。此外，该工具还将为水区和监管机构提供农作物需水和消耗的汇总数据，支持区域层面的公平水分配决策。当所提出的工具开发出来并供公众使用时，它将有助于缓解地下水枯竭，提高用水效率，降低灌溉成本，并有助于考虑水公平、水资源可用性和环境约束的区域水分配。该项目的技术目标包括利益相关者参与、概念模型开发、基于网络的工具创建以及测试和评估。利益相关者将参与整个研究，为设计要求和评估分析做出贡献。该概念模型集成了创新的遥感产品、天气预报和用户输入，将指导基于网络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近地表土壤湿度、根区土壤湿度和蒸散量的高分辨率（10 米，每日）数据。该工具将产生农场层面的产出，包括灌溉建议，以及区域层面的产出，包括总耗水量和需求数据。该原型工具将在中央谷的各个试点农场进行测试，涵盖不同的气候、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湿度和蒸散数据，以及进行实地活动以监测作物生长状况和灌溉计划决策。此外，还将进行经济分析，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力的影响。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响进行评估，被认为值得支持审查标准。