Collaborative Research: EAGER: IMPRESS-U: Groundwater Resilience Assessment through iNtegrated Data Exploration for Ukraine (GRANDE-U)

合作研究：EAGER：IMPRESS-U：通过乌克兰综合数据探索进行地下水恢复力评估 (GRANDE-U)

• 批准号: 2409395
• 负责人: Ilya Zaslavsky
• 金额: $ 24.8万
• 依托单位: University of California-San Diego
• 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: 2024-04-01 至 2026-03-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2409395&HistoricalAwards=false
• 关键词: Collaborative; Research; EAGER; IMPRESS; Groundwater

This IMPRESS-U project is jointly funded by NSF, Estonian Research Council (ETAG), Latvian Council of Science (LCS), Research Council of Lithuania (LMT), National Science Center of Poland (NCN), US National Academy of Sciences, and Office of Naval Research Global (DoD). The research will be performed in a multilateral international partnership that unites the University of California-San Diego, New Mexico State University (US), Ukrainian Hydrometeorological Institute and Taras Shevchenko National University, Kyiv (Ukraine), Polish Geological Institute and Space Research Center of the Polish Academy of Sciences, Warsaw (Poland), University of Latvia, Riga (Latvia), Vilnius University, Vilnius (Lithuania), and University of Tartu, Tartu (Estonia). US portion of the collaborative effort will be co-funded by NSF OISE/OD, GEO/RISE, and GEO/EAR).Groundwater is a critical source of drinking water for half of the population worldwide, and this resource is under threat of depletion. An accurate assessment of its quantity and quality is a persistent global and national challenge, particularly in transboundary regions. This project seeks to improve our understanding of groundwater dynamics and achieve integrated water balance parameterization at fine spatial and temporal scales. The results will be especially useful to Ukraine, where the limitations of the ground observation network require more efficient assessment techniques based on remote sensing. To build algorithms and models for accurate and timely aquifer assessment, this project will bring together researchers from six countries: the United States, Ukraine, Poland, Latvia, Lithuania, and Estonia. The robust international collaboration at the core of this effort, bridging distinct transboundary human systems and connected natural aquifer systems, will accelerate progress that no single discipline or nation could achieve alone. Simultaneously, this project will foster the next generation of research leaders and support the co-development of a modern innovation ecosystem in Ukraine.This project will pioneer a comprehensive transdisciplinary approach to fine-scale modeling of surface water and groundwater interactions in a transboundary setting. Our proposed technical solution integrates hydrogeologic models with satellite and ground-based data to enable water resource assessment for decision-making under uncertainty. The main project components include: (1) Developing a consolidated spatial database of satellite and in-situ groundwater and surface water observations and other relevant data layers for transboundary areas in Ukraine and the partner countries in the region; (2) Creating novel algorithms to downscale satellite remote sensing data from the Gravity Recovery and Climate Experiment Follow-On (GRACE-FO) mission using higher-resolution geologic, in-situ, topographic, and land cover data, over areas with sufficiently dense ground observations; (3) Training artificial intelligence models to extend water balance parameterization to areas where GRACE-FO data have not been correlated with in-situ observations; (4) Generating conceptualizations and simulations to assess aquifer resilience under different hydrogeologic and water use scenarios, using participatory modeling approaches; and (5) Building an internationally-engaged workforce development program leveraging the project's research design to enable state-of-the-art innovation infrastructure in Ukraine. While the research tasks' interdependent, innovative and exploratory nature make the project high-risk, it promises a high potential impact in transforming our understanding and the practice of transboundary groundwater assessment and management.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 IMPRESS-U 项目由 NSF、爱沙尼亚研究委员会 (ETAG)、拉脱维亚科学委员会 (LCS)、立陶宛研究委员会 (LMT)、波兰国家科学中心 (NCN)、美国国家科学院和全球海军研究办公室（DoD）。该研究将在多边国际合作伙伴关系中进行，该合作伙伴关系包括加州大学圣地亚哥分校、新墨西哥州立大学（美国）、乌克兰水文气象研究所和基辅塔拉斯舍甫琴科国立大学（乌克兰）、波兰地质研究所和空间研究中心。华沙波兰科学院（波兰）、里加拉脱维亚大学（拉脱维亚）、维尔纽斯维尔纽斯大学（立陶宛）和塔尔图大学，塔尔图（爱沙尼亚）。美国部分的合作工作将由 NSF OISE/OD、GEO/RISE 和 GEO/EAR 共同资助。地下水是全球一半人口的重要饮用水源，而这种资源正面临枯竭的威胁。准确评估其数量和质量是一项持续存在的全球和国家挑战，特别是在跨境地区。该项目旨在提高我们对地下水动态的理解，并在精细的空间和时间尺度上实现综合水平衡参数化。研究结果对乌克兰特别有用，因为乌克兰地面观测网络的局限性需要更有效的基于遥感的评估技术。为了建立准确及时的含水层评估的算法和模型，该项目将汇集来自六个国家的研究人员：美国、乌克兰、波兰、拉脱维亚、立陶宛和爱沙尼亚。这一努力的核心是强有力的国际合作，将不同的跨界人类系统和相连的天然含水层系统联系起来，将加速任何单一学科或国家无法单独实现的进步。同时，该项目将培养下一代研究领导者，并支持乌克兰现代创新生态系统的共同开发。该项目将开创一种全面的跨学科方法，对跨境环境中的地表水和地下水相互作用进行精细建模。我们提出的技术解决方案将水文地质模型与卫星和地面数据相结合，以便在不确定的情况下进行水资源评估以供决策。项目主要组成部分包括： (1) 开发乌克兰及该地区伙伴国家跨界地区的卫星和实地地下水和地表水观测及其他相关数据层的综合空间数据库； (2) 创建新颖的算法，使用更高分辨率的地质、原位、地形和土地覆盖数据，在足够密集的区域缩小重力恢复和气候实验后续 (GRACE-FO) 任务中的卫星遥感数据地面观测； （3）训练人工智能模型，将水平衡参数化扩展到GRACE-FO数据尚未与现场观测关联的地区； (4) 使用参与式建模方法，生成概念和模拟，以评估不同水文地质和用水情景下含水层的恢复力； (5) 利用该项目的研究设计建立一个国际参与的劳动力发展计划，以在乌克兰建立最先进的创新基础设施。虽然研究任务的相互依存性、创新性和探索性使该项目具有高风险，但它有望在改变我们对跨界地下水评估和管理的理解和实践方面产生巨大的潜在影响。该奖项反映了 NSF 的法定使命，并被认为是值得的通过使用基金会的智力优势和更广泛的影响审查标准进行评估来提供支持。