ELEMENTS: DATA: HDR: SWIM to a Sustainable Water Future

要素：数据：HDR：通过游泳实现可持续水未来

• 批准号: 1835897
• 负责人: Natalia Villanueva Rosales
• 金额: $ 59.95万
• 依托单位: University of Texas at El Paso
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1835897&HistoricalAwards=false
• 关键词: ELEMENTS; DATA; HDR; SWIM; Sustainable

The project develops a system that automates ingestion of data into models, the integration of decoupled models, and the dynamic generation and interpretation of models. The focus is on water resources. The team leverages software development from an ongoing USDA-funded project, and the expertise of an interdisciplinary, international team of scientists and students who are investigating future scenarios of water availability and use in the Middle Rio Grande valley of southern New Mexico, west Texas, and northern Chihuahua (Mexico).This project advances water sustainability research capabilities by creating a Sustainable Water through Integrated Modeling (SWIM) framework that automates ingestion of data into models, facilitates integration of decoupled models, and supports dynamic generation and interpretation of models. The four objectives are to: 1) foster use of water models by stakeholders (non-modelers) through direct participation enabled by a web-based interface and provenance capture; 2) enable seamless model-to-model integration through service-driven data exchange and transformation; 3) develop data- and technology-enabled approaches for reasoning with biophysical and social models; and 4) engage data providers, modelers and stakeholders in conceiving and testing the framework.The research and products of this project contribute to advanced research capabilities on water sustainability. By providing seamless integration of scientific data and models, and generating provenance data to create dynamic user interfaces, the project instills trust in the models generated through participatory analysis. This approach is built around a strong appreciation of the value of stakeholder engagement and alignment to achieving the described goals. The research is carried out by a diverse and experienced team, and will contribute to understanding of how to more effectively conduct convergent research with researchers and stakeholders.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.

该项目开发了一个系统，自动摄取数据到模型中，解耦模型的集成，以及模型的动态生成和解释。 重点是水资源。 该团队利用美国农业部资助的一个正在进行的项目的软件开发，以及一个跨学科的国际科学家和学生团队的专业知识，他们正在调查德克萨斯州西部新墨西哥州南部中格兰德河山谷的水资源可用性和使用情况，和北方奇瓦瓦州（墨西哥）。该项目通过创建一个可持续的水通过综合建模（SWIM）提高水的可持续性研究能力一个框架，自动将数据摄取到模型中，促进解耦模型的集成，并支持模型的动态生成和解释。这四个目标是：1）促进利益攸关方使用水模型（2）通过基于网络的界面和来源捕获实现模型与模型之间的无缝集成;（3）开发基于数据和技术的方法，用于生物物理和社会模型的推理;以及4）让数据提供者、建模者和利益相关者参与构想和测试框架。该项目的研究和产品有助于提高水可持续性的研究能力。 通过提供科学数据和模型的无缝集成，并生成出处数据以创建动态用户界面，该项目为通过参与式分析生成的模型注入了信任。 这一方法是建立在对利益相关者参与的价值的强烈赞赏和对实现所述目标的一致性的基础上的。 该研究由一个多元化和经验丰富的团队进行，将有助于了解如何更有效地与研究人员和利益相关者进行融合研究。该奖项反映了NSF的法定使命，并已被认为是值得支持的，通过评估使用基金会的知识价值和更广泛的影响审查标准。

项目成果

Supporting Regional Water Sustainability Decision-Making through Integrated Modeling

通过综合建模支持区域水可持续决策

• DOI: 10.1109/isc255366.2022.9922004
• 发表时间: 2022
• 期刊: 8th IEEE International Smart Cities Conference 2022
• 作者: Chavira, Luis Garnica;Villanueva-Rosales, Natalia;Heyman, Josiah;Pennington, Deana D.;Salas, Katalina
• 通讯作者: Salas, Katalina

Automating Multivariable Workflow Composition for Model-to-Model Integration

• DOI: 10.1109/escience55777.2022.00030
• 发表时间: 2022-10
• 期刊: 2022 IEEE 18th International Conference on e-Science (e-Science)
• 作者: Raul Alejandro Vargas-Acosta;L. G. Chavira;N. Villanueva-Rosales;D. Pennington

Least-Cost Provision of Ecosystem Services from Water: When, Where, and How Much?

以最低成本提供水生态系统服务：何时、何地以及多少？

• DOI: 10.1061/(asce)wr.1943-5452.0001511
• 发表时间: 2022
• 期刊: Journal of Water Resources Planning and Management
• 影响因子: 3.1
• 作者: Torell, Gregory L.;Lee, Katherine D.;Garnica, Luis A.;Mayer, Alex S.;Ward, Frank A.
• 通讯作者: Ward, Frank A.

Assessing the Effects of Climate Change on Middle Rio Grande Surface Water Supplies Using a Simple Water Balance Reservoir Model

• DOI: 10.1175/ei-d-21-0025.1
• 发表时间: 2022-01-01
• 期刊: EARTH INTERACTIONS
• 影响因子: 2
• 作者: Holmes, Robyn N.;Mayer, Alex;Chavira, Luis Garnica
• 通讯作者: Chavira, Luis Garnica