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.

该印象-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），美国国家科学学院国家科学中心，美国国家科学院国家科学学院和Naval Research Global办公室（DOD）共同资助。这项研究将在多边国际合作伙伴关系中进行，该伙伴关系将加利福尼亚大学迭戈分校，新墨西哥州立大学（美国），乌克兰水信学研究所和塔拉斯·舍申科国立大学，基督教大学（乌克兰），波兰地理学研究所和波兰科学院的波兰地理研究中心，波兰语研究中心，波兰语研究中心（波兰）大学，维尔纽斯大学（立陶宛）和塔尔图塔尔图大学（爱沙尼亚）。美国合作努力的美国部分将由NSF OISE/OD，GEO/RISE和GEO/EAR）共同资助。GroundWater是全球一半人口的饮用水的关键来源，并且该资源受到耗尽的威胁。对其数量和质量的准确评估是持续的全球和民族挑战，尤其是在跨界地区。该项目旨在提高我们对地下水动力学的理解，并在精细的空间和时间尺度上实现综合水平衡参数化。结果对乌克兰特别有用，在乌克兰，地面观察网络的局限性需要基于遥感的更有效的评估技术。为了建立算法和模型以进行准确，及时的含水层评估，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。这项工作核心的强大国际合作，弥合了独特的跨界人类系统和互联的天然含水层系统，将加速进步，没有任何一学科或民族可以独自实现。同时，该项目将促进下一代研究领导者，并支持乌克兰现代创新生态系统的共同开发。该项目将在经跨围场中采用全面的跨学科方法来对地表水和地下水相互作用进行精细规模的建模。我们提出的技术解决方案将水文地质模型与卫星和基于地面的数据整合在一起，以使水资源评估在不确定性下进行决策。主要项目组成部分包括：（1）开发一个卫星，原位地下水和地表水观测值的合并空间数据库，以及乌克兰跨界地区和该地区合作伙伴国家的其他相关数据层； （2）使用高分辨率的地质，现场，地形，地形和土地覆盖数据，从重力恢复和气候实验跟进（GRACE-FO）任务中创建新的算法，以从重力恢复和气候实验跟进（GRACE-FO）任务中创建新的算法。 （3）培训人工智能模型将水平衡参数化扩展到与原位观察结果没有相关的宽限期数据的领域； （4）使用参与式建模方法生成概念化和模拟，以评估不同水文和用水场景下的含水层弹性； （5）构建一个国际参与的劳动力发展计划，该计划利用该项目的研究设计使乌克兰的最先进的创新基础设施能够。虽然研究任务的相互依存，创新和探索性的性质使该项目高危，但它有望在改变我们的理解和跨界地下水评估和管理实践方面具有很大的潜在影响。该奖项反映了NSF的法定任务，并被认为是通过该基金会的知识分子功能和广泛影响的评估来评估CRETERIA的评估。