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Making waves: A conceptual framework exploring how large language model-based multi-agent systems could reshape water engineering

delete2025-12-12
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OA
AI
S
Seyed Hossein Hosseini *
B
Babak Zolghadr‐Asli
H
Henrikki Tenkanen
K
Kaveh Madani
M
Mir A. Matin
İ
İbrahim Demir
A
Avi Ostfeld
V
Vijay P. Singh
D
Dragan Savić
DOI:10.1016/j.watres.2025.125157delete
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Abstract

Abstract

En 中文
• LLM-MA systems can enhance water engineering by improving data integration, monitoring, and decision-making. • Specialized agents can support groundwater monitoring, irrigation scheduling, reservoir management, and post-disaster response. • Key challenges include data access, computational demands, bias, hallucinations, and governance issues.
Keywords:
Large language model-based multi-agent (LLM-MA)
Water engineering
Decision support systems
Adaptive AI systems
Generative AI
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Water Research cover
Water Research
IF:
12.4
Papers:
3.1W
Citations:
15.7W

Organization

A
Aalto University
Scholars:
1.6W
Papers: 1.5W
Citations: 2.1W
T
tulane university
Scholars:
1.3W
Papers: 1.0W
Citations: 9
U
University of Exeter
Scholars:
2.0W
Papers: 2.1W
Citations: 3.6W
M
m university
Scholars:
1.3K
Papers: 619
Citations: 1
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