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Updated: Mar 2, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
A novel intelligent expert system for exploring water quality data
Gabriel Vald1,2, Yusuf Sermet1,3,4, Jerry Mount1
1IIHR Hydroscience and Engineering, University of Iowa, Iowa City, IA 52246, USA.
Abstract:
Despite advancements in environmental monitoring, the gap between data collection and user-friendly data interpretation remains. This paper introduces the Artificial Intelligence Data Expert (AI-DE), a novel data analytics system designed to facilitate on-demand analysis of time-series monitoring data for water quality using natural language queries. The AI-DE leverages features of ChatGPT, including named entity recognition, geocoding, and sentiment analysis, enabling natural language-based data analysis. This system allows for immediate, ad-hoc querying and interpretation of environmental data, tailored to the needs of diverse user groups. Key features include chat controls that customize user interaction, a chat bypass enabling data synchronization with an information system, and a data interpretation mode for detailed analysis. The AI-DE enhances user engagement with an understanding of water quality data, aiming to support informed decisions and actions for environmental management. The AI-DE represents a step forward in increasing access to complex environmental data through conversational AI technologies.
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