Journal article
An integrated cyberinfrastructure system for water quality resources in the Upper Mississippi River Basin
Journal of hydroinformatics, Vol.26(8), pp.1970-1988
08/08/2024
DOI: 10.2166/hydro.2024.079
Appears in UI Libraries Support Open Access
Abstract
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.
Details
- Title: Subtitle
- An integrated cyberinfrastructure system for water quality resources in the Upper Mississippi River Basin
- Creators
- Jerry Mount - University of IowaYusuf Sermet - University of IowaChristopher S. Jones - University of IowaKeith E. Schilling - University of IowaPhilip W. Gassman - Iowa State UniversityLarry J. Weber - University of IowaWitold F. Krajewski - University of IowaIbrahim Demir - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Journal of hydroinformatics, Vol.26(8), pp.1970-1988
- DOI
- 10.2166/hydro.2024.079
- ISSN
- 1464-7141
- eISSN
- 1465-1734
- Publisher
- IWA Publishing
- Grant note
- National Science Foundation: 1761887
This paper is based upon work supported by the National Science Foundation under Grant No. (1761887).
- Language
- English
- Date published
- 08/08/2024
- Academic Unit
- Electrical and Computer Engineering; Civil and Environmental Engineering; Earth and Environmental Sciences; IIHR--Hydroscience and Engineering; Injury Prevention Research Center
- Record Identifier
- 9984696931702771
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