Application of Machine Learning in Hydrological Monitoring
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrology".
Deadline for manuscript submissions: 30 January 2025 | Viewed by 44
Special Issue Editors
Interests: artificial intelligence; web technologies; augmented and virtual reality; hydroinformatics; large language models
Special Issue Information
Dear Colleagues,
The integration of machine learning, particularly deep learning, in hydrological monitoring has significantly transformed its efficiency and capability of analyzing and predicting water-related phenomena. This Special Issue, titled "Application of Machine Learning in Hydrological Monitoring", seeks to explore innovative machine learning methodologies specifically tailored for enhancing hydrological data analysis and decision-making processes. Contributions to this Issue will focus on novel machine learning techniques that improve the accuracy of hydrological predictions, optimize data retrieval and management, and enhance disaster analytics and decision support systems. We invite research that utilizes AI-driven models for tasks such as flood forecasting, water quality monitoring, streamflow prediction, and rainfall data analysis. Papers may also discuss advancements in data augmentation techniques, including the integration of multi-source data for comprehensive flood modeling and predictions, as well as conversational AI approaches using large language models (LLMs). By bringing together these focused studies, the Special Issue aims to highlight the transformative impact of machine learning in hydrology and encourage further interdisciplinary collaborations to advance water resource management.
Dr. Yusuf Sermet
Guest Editor
Dr. Zhouyayan Li
Guest Editor Assistant
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- machine learning
- hydrological monitoring
- AI-driven models
- data augmentation
- flood forecasting
- water quality analysis
- decision support systems
- streamflow prediction
- data retrieval techniques
- large language models
