Journal article
A community-centric intelligent cyberinfrastructure for addressing nitrogen pollution using web systems and conversational AI
Environmental science & policy, Vol.167, p.104055
05/2025
DOI: 10.1016/j.envsci.2025.104055
Abstract
The Blue-Green Action Platform (BlueGAP) information system (IS) is an intelligent cyberinfrastructure framework designed to support large-scale water quality assessments in the context of demographic statistics and community stories about water issues. The system prioritizes collaboration with interested parties in three pilot watersheds with test cases implemented in US locations including Iowa, Tampa, and the U.S. Virgin Islands. The BlueGAP IS leverages Artificial Intelligence (AI) technologies with large language models based on regional nutrient management issues and community knowledge to provide access to water quality information. The current focus of the system is on nitrate in drinking water, rivers, and waterways, and can be expanded to incorporate other water quality information. BlueGAP identifies possible partnerships and promotes collaborations among diverse stakeholders to facilitate effective evaluation of nitrogen-related analytes, guide action to address possible pollution, and outline sustainable water management practices. The BlueGAP IS also emphasizes its educational mission by connecting water quality data with inclusive and accessible educational content through AI technology. By integrating nitrogen data and water quality issues into educational resources, BlueGAP fosters a deeper understanding of water quality issues across diverse communities, empowering users to make informed decisions and contribute to sustainable water management practices.
•Utilizing sensor data for charts and visual tools for clear and effective data presentation.•Combines water quality data with local demographic statistics and community narratives.•Facilitates partnerships and collaboration among diverse stakeholders to tackle water quality issues.•Synergy and integration with BlueGAP AI Hub to promote data exploration•Utilizes AI to support comprehensive water quality assessments focusing on nitrate levels.
Details
- Title: Subtitle
- A community-centric intelligent cyberinfrastructure for addressing nitrogen pollution using web systems and conversational AI
- Creators
- Samrat Shrestha - University of IowaJerry Mount - University of IowaGabriel Vald - University of IowaYusuf Sermet - University of IowaDinesh Jackson Samuel - Pittsburg State UniversityChelsea Bryant - University of South FloridaAna C. Peralta - University of South FloridaMarcus W. Beck - Tampa Bay Estuary ProgramSteven D. Meyers - University of South FloridaFrank E. Muller-Karger - University of South FloridaDavid Cwiertny - University of IowaIbrahim Demir - Tulane University
- Resource Type
- Journal article
- Publication Details
- Environmental science & policy, Vol.167, p.104055
- DOI
- 10.1016/j.envsci.2025.104055
- ISSN
- 1462-9011
- eISSN
- 1873-6416
- Publisher
- Elsevier Ltd
- Grant note
- National Science Foundation: 2230710
This project was funded by the National Science Foundation (#2230710) .
- Language
- English
- Date published
- 05/2025
- Academic Unit
- Electrical and Computer Engineering; Center for Health Effects of Environmental Contamination; Civil and Environmental Engineering; IIHR--Hydroscience and Engineering; Injury Prevention Research Center; Chemistry; Chemical and Biochemical Engineering
- Record Identifier
- 9984808567702771
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