An integrated cyberinfrastructure system for water quality resources in the Upper Mississippi River Basin

Jerry Mount, Y. Sermet, Christopher S. Jones, Keith E. Schilling, P. Gassman, Larry J. Weber, W. Krajewski, Ibrahim Demir
{"title":"An integrated cyberinfrastructure system for water quality resources in the Upper Mississippi River Basin","authors":"Jerry Mount, Y. Sermet, Christopher S. Jones, Keith E. Schilling, P. Gassman, Larry J. Weber, W. Krajewski, Ibrahim Demir","doi":"10.2166/hydro.2024.079","DOIUrl":null,"url":null,"abstract":"\n \n The Upper Mississippi Information System (UMIS) is a cyberinfrastructure framework designed to support large-scale real-time water-quality data integration, analysis, and visualization for the Upper Mississippi River Basin (UMRB). UMIS is intended to directly address three of the Grand Challenges for Engineering including (1) understanding access to clean drinking water, (2) management of the nitrogen cycle, and (3) engineering the tools of scientific discovery. The UMIS is designed to provide significant immediate and long-term impacts including a central platform for data access, integration, discovery, and adoption of cyberinfrastructure tools and services. The UMIS demonstrates that public data aggregators and central repositories can provide important services to anyone interested in water-quality research or education. In addition, working across multiple scales (e.g., state, region, county, or watershed) allows researchers to understand broad and narrow effects of water-quality strategies. Exploration of data across these scales encourages the development of problem-based research questions that can eventually provide feedback to public policies.","PeriodicalId":507813,"journal":{"name":"Journal of Hydroinformatics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hydroinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2166/hydro.2024.079","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The Upper Mississippi Information System (UMIS) is a cyberinfrastructure framework designed to support large-scale real-time water-quality data integration, analysis, and visualization for the Upper Mississippi River Basin (UMRB). UMIS is intended to directly address three of the Grand Challenges for Engineering including (1) understanding access to clean drinking water, (2) management of the nitrogen cycle, and (3) engineering the tools of scientific discovery. The UMIS is designed to provide significant immediate and long-term impacts including a central platform for data access, integration, discovery, and adoption of cyberinfrastructure tools and services. The UMIS demonstrates that public data aggregators and central repositories can provide important services to anyone interested in water-quality research or education. In addition, working across multiple scales (e.g., state, region, county, or watershed) allows researchers to understand broad and narrow effects of water-quality strategies. Exploration of data across these scales encourages the development of problem-based research questions that can eventually provide feedback to public policies.
密西西比河上游流域水质资源综合网络基础设施系统
密西西比河上游信息系统(UMIS)是一个网络基础设施框架,旨在支持密西西比河上游流域(UMRB)的大规模实时水质数据整合、分析和可视化。UMIS 旨在直接应对工程学的三大挑战,包括:(1) 了解获得清洁饮用水的途径;(2) 氮循环管理;(3) 科学发现工具的工程化。UMIS 旨在提供重大的直接和长期影响,包括数据访问、集成、发现和采用网络基础设施工具和服务的中央平台。UMIS 表明,公共数据聚合器和中央存储库可以为任何对水质研究或教育感兴趣的人提供重要服务。此外,跨多个尺度(如州、地区、县或流域)的工作使研究人员能够了解水质战略的广泛和狭义影响。对跨尺度数据的探索有助于提出基于问题的研究问题,最终为公共政策提供反馈。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信