Data-Driven Approaches for Sustainable Water Management and Flood Resilience in River Basins
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Water Management".
Deadline for manuscript submissions: 28 February 2027 | Viewed by 565
Editor
Interests: non-structural measures; flood forecasting; urban drainage systems; optimization; sustainability; resilience; artificial intelligence; reliability
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Sustainable water management and flood resilience in river basins are very important. Studies are required for investigation of river basin management for improving flood resilience. In addition to studies for sustainable water management techniques, studies to predict the risk of sustainable water system using data-driven approaches are also required. From this point of view, an application of various methods such as deep learning and meta-heuristic optimization algorithms will be a good way to increase the sustainability of river basin.
This Special Issue aims to collect papers focused on new research results regarding ‘Data-Driven Approaches for Sustainable Water Management and Flood Resilience in River Basins’.
This Special Issue seeks contributions spanning a broad range of topics related, but not limited to, the following:
- Application of data-driven approaches in river basins;
- Flood forecasting using deep learning techniques;
- Simulation/experiment of water management;
- Assessment of water management;
- Resilience in water system and management.
I look forward to receiving your contributions.
Dr. Eui Hoon Lee
Guest Editor
Manuscript Submission Information
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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. Sustainability 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 2400 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
- data-driven approaches
- sustainable water management
- flood resilience
- deep learning
- nature-based solutions
- meta-heuristic optimization algorithm
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