Spokes: MEDIUM: MIDWEST: Collaborative: An Integrated Big Data Framework for Water Quality Issues in the Upper Mississippi River Basin

辐条：媒介：中西部：协作：密西西比河流域上游水质问题的综合大数据框架

• 批准号: 1761887
• 负责人: Ibrahim Demir
• 金额: $ 60万
• 依托单位: University of Iowa
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-08-01 至 2022-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1761887&HistoricalAwards=false
• 关键词: Spokes; MEDIUM; MIDWEST; Collaborative; Integrated

This project will develop a cyberinfrastructure framework to facilitate research on the efficient management of agricultural practices and their impact on water resources in the Upper Mississippi River Basin (UMRB). Large-scale data acquisition, integration, analysis, and visualization using data-enabled information technologies will accelerate the dissemination of knowledge, experience, and shared resources (e.g., technology, equipment, and people) among communities and partners. The key element of the project is a new cyber platform, the Upper Mississippi Information System (UMIS), which will provide water quality data within a rich spatio-temporal hydrologic context. The UMIS directly addresses three of the Grand Challenges for Engineering identified by the National Academy of Engineering: i) provide access to clean drinking water; ii) manage the nitrogen cycle; and iii) engineer the tools of scientific discovery. The UMIS will immediately begin facilitating data access, integration, and scientific discovery for water quality challenges in the UMRB. UMIS will offer internet-based open access to water quality information in its meteorological, hydrological, and geographical context, providing almost endless potential benefits for stakeholders. For example, the experimental design of the UMIS will enable researchers to study spatial scaling, efficiency of various land use and agricultural practices to improve water quality, and the impact of climate change on land management and water quality. Decision-makers, producers, and extension staff will be able to assess the relative efficacy of local (e.g., best management practices) versus system-level (e.g., state programs) solutions designed to reduce pollution, optimize the use of resources, and evaluate tradeoffs among competing objectives. For all stakeholders, the UMIS will support partnerships and collaborations, increase dissemination of information about a critical natural resource to empower stakeholders at all levels, and set new standards in the communication of scientific data.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.

该项目将开发一个网络基础设施框架，以促进对农业实践的有效管理及其对密西西比河上游流域（UMRB）水资源影响的研究。 利用数据信息技术进行大规模数据采集、集成、分析和可视化将加速知识、经验和共享资源（例如技术、设备和人员）在社区和合作伙伴之间的传播。 该项目的关键要素是一个新的网络平台，即密西西比河上游信息系统（UMIS），它将在丰富的时空水文背景下提供水质数据。 UMIS 直接解决了美国国家工程院确定的三大工程重大挑战：i) 提供清洁饮用水； ii) 管理氮循环； iii) 设计科学发现的工具。 UMIS 将立即开始促进数据访问、集成和科学发现，以应对 UMRB 的水质挑战。 UMIS 将提供基于互联网的气象、水文和地理水质信息的开放获取，为利益相关者提供几乎无穷无尽的潜在利益。 例如，UMIS 的实验设计将使研究人员能够研究空间尺度、各种土地利用的效率和改善水质的农业实践，以及气候变化对土地管理和水质的影响。 决策者、生产者和推广人员将能够评估旨在减少污染、优化资源利用的本地解决方案（例如最佳管理实践）与系统级解决方案（例如国家计划）的相对功效，并评估相互竞争的目标之间的权衡。 对于所有利益相关者而言，UMIS 将支持伙伴关系和协作，加强关键自然资源信息的传播，以增强各级利益相关者的能力，并在科学数据的交流方面制定新标准。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获得支持。

项目成果

Analysis of alternative climate datasets and evapotranspiration methods for the Upper Mississippi River Basin using SWAT within HAWQS

使用 HAWQS 内的 SWAT 分析密西西比河流域上游的替代气候数据集和蒸散方法

• DOI: 10.1016/j.scitotenv.2020.137562
• 发表时间: 2020-06
• 期刊: Science of The Total Environment
• 影响因子: 9.8
• 作者: Chen, Manyu;Gassman, Philip W.;Srinivasan, Raghavan;Cui, Yuanlai;Arritt, Raymond
• 通讯作者: Arritt, Raymond