A community-centric intelligent cyberinfrastructure for addressing nitrogen pollution using web systems and conversational AI

IF 5.2 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Environmental Science & Policy Pub Date : 2025-04-02 DOI:10.1016/j.envsci.2025.104055
Samrat Shrestha , Jerry Mount , Gabriel Vald , Yusuf Sermet , Dinesh Jackson Samuel , Chelsea Bryant , Ana C. Peralta , Marcus W. Beck , Steven D. Meyers , Frank E. Muller-Karger , David Cwiertny , Ibrahim Demir
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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.
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一个以社区为中心的智能网络基础设施,用于使用网络系统和会话人工智能解决氮污染问题
蓝绿行动平台(BlueGAP)信息系统(IS)是一个智能网络基础设施框架,旨在支持在人口统计和有关水问题的社区故事背景下进行大规模水质评估。该系统优先与三个试点流域的相关方合作,并在美国的爱荷华州、坦帕和美属维尔京群岛等地实施了测试案例。BlueGAP IS利用人工智能(AI)技术和基于区域营养管理问题和社区知识的大型语言模型,提供获取水质信息的途径。该系统目前的重点是饮用水、河流和水道中的硝酸盐,可以扩展到其他水质信息。“蓝色行动计划”确定可能的伙伴关系,并促进不同利益攸关方之间的合作,以促进对氮相关分析物的有效评估,指导解决可能的污染的行动,并概述可持续的水管理实践。BlueGAP IS还通过人工智能技术将水质数据与包容性和可访问性的教育内容联系起来,强调其教育使命。通过将氮数据和水质问题整合到教育资源中,BlueGAP促进了对不同社区水质问题的更深入了解,使用户能够做出明智的决策,并为可持续的水管理实践做出贡献。
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来源期刊
Environmental Science & Policy
Environmental Science & Policy 环境科学-环境科学
CiteScore
10.90
自引率
8.30%
发文量
332
审稿时长
68 days
期刊介绍: Environmental Science & Policy promotes communication among government, business and industry, academia, and non-governmental organisations who are instrumental in the solution of environmental problems. It also seeks to advance interdisciplinary research of policy relevance on environmental issues such as climate change, biodiversity, environmental pollution and wastes, renewable and non-renewable natural resources, sustainability, and the interactions among these issues. The journal emphasises the linkages between these environmental issues and social and economic issues such as production, transport, consumption, growth, demographic changes, well-being, and health. However, the subject coverage will not be restricted to these issues and the introduction of new dimensions will be encouraged.
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