Artificial Intelligence Applications in River Management: Challenges and Insights From a Bibliometric Review

IF 2.1 3区环境科学与生态学 Q2 ECOLOGY

Ecohydrology Pub Date : 2025-06-10 DOI:10.1002/eco.70057

Yueya Chang, Jun Yang

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引用次数: 0

Abstract

This study conducts a systematic bibliometric analysis of the applications of artificial intelligence (AI) in river management systems from 2000 to 2024. By examining 477 publications retrieved from the Web of Science Core Collection and utilizing CiteSpace for visualization, we identify key research trends, collaborative networks and emerging themes in this rapidly advancing field. The findings reveal a significant geographical concentration of research output, with China (101 papers), the United States (76 papers) and the United Kingdom (29 papers) ranking as the leading contributors. The analysis highlights an exponential increase in publications, particularly after 2020, with a primary focus on machine learning applications for water quality monitoring and real-time prediction systems. Notable institutions, including the University of Malaya, the Chinese Academy of Sciences and Duy Tan University, have demonstrated high research productivity. Moreover, critical gaps are identified, such as insufficient stakeholder engagement and the need for more transparent AI model development. These insights offer valuable guidance to environmental managers and policymakers aiming to implement AI-driven solutions for sustainable river management.

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人工智能在河流管理中的应用：来自文献计量学综述的挑战和见解

本研究对2000 - 2024年人工智能（AI）在河流管理系统中的应用进行了系统的文献计量分析。通过对从Web of Science核心馆藏中检索到的477篇出版物进行分析，并利用CiteSpace进行可视化，我们确定了这一快速发展领域的关键研究趋势、合作网络和新兴主题。研究结果显示，研究成果的地理分布非常集中，中国（101篇）、美国（76篇）和英国（29篇）是主要贡献者。该分析强调了出版物的指数增长，特别是在2020年之后，主要关注机器学习在水质监测和实时预测系统中的应用。马来亚大学（University of Malaya）、中国科学院（Chinese Academy of Sciences）和duytan大学（duytan University）等知名机构都显示出了很高的研究生产力。此外，还确定了关键差距，例如利益相关者参与不足以及需要更透明的人工智能模型开发。这些见解为旨在实施人工智能驱动的可持续河流管理解决方案的环境管理者和政策制定者提供了宝贵的指导。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Ecohydrology 环境科学-生态学

CiteScore

5.10

自引率

7.70%

发文量

116

审稿时长

24 months

期刊介绍： Ecohydrology is an international journal publishing original scientific and review papers that aim to improve understanding of processes at the interface between ecology and hydrology and associated applications related to environmental management. Ecohydrology seeks to increase interdisciplinary insights by placing particular emphasis on interactions and associated feedbacks in both space and time between ecological systems and the hydrological cycle. Research contributions are solicited from disciplines focusing on the physical, ecological, biological, biogeochemical, geomorphological, drainage basin, mathematical and methodological aspects of ecohydrology. Research in both terrestrial and aquatic systems is of interest provided it explicitly links ecological systems and the hydrologic cycle; research such as aquatic ecological, channel engineering, or ecological or hydrological modelling is less appropriate for the journal unless it specifically addresses the criteria above. Manuscripts describing individual case studies are of interest in cases where broader insights are discussed beyond site- and species-specific results.