International Journal of River Basin Management
Published by Taylor & Francis
ISSN : 1571-5124 eISSN : 1814-2060
Abbreviation : Int. J. River Basin Manag.
Aims & Scope
There is a need now more than ever to apply an integrated, cross-disciplinary approach to river basin management as recognised by the UN Watercourses Convention, World Water Vision, World Water Council and Global Water Partnership.
The International Journal of River Basin Management addresses this need.
It brings together research dedicated to all aspects of integrated river and floodplain management including catchments, wetlands and estuarine systems.
Examples topics include but are not limited to: • integrated water resources management • spatial planning and management of watershed • flood/drought forecasting and risk management • floodplain, river and estuarine restoration • terrestrial hydrometeorology • ecohydrology • climate change impacts, adaption and mitigation measures • water quality • operation and maintenance strategies for engineered river systems and structures • project-affected-people and stakeholder participation • sustainable and adaptive management • institutional, legislative, social and policy issues • international river basin studies The journal welcomes high-quality submissions from different disciplines across river basin management i.e. hydrology, meteorology, climatology, physical geography, hydraulic engineering, water management and governance.
We invite contributions which include GIS, remote sensing, monitoring, modelling applications and risk assessment.
Submitted papers must be presented clearly and be understandable to researchers who are not subject experts in your particular specialism.
Please see the Instructions for Authors for further details before submitting.
View Aims & ScopeMetrics & Ranking
Impact Factor
Year | Value |
---|---|
2025 | 1.9 |
2024 | 2.20 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 0.533 |
Quartile
Year | Value |
---|---|
2024 | Q2 |
h-index
Year | Value |
---|---|
2024 | 48 |
Journal Rank
Year | Value |
---|---|
2024 | 10899 |
Journal Citation Indicator
Year | Value |
---|---|
2024 | 476 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Environmental Science, designed to support cutting-edge academic discovery.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
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Development of a nonâ€intrusive and efficient flow monitoring technique: The spaceâ€time image velocimetry (STIV)
Citation: 206
Authors: Ichiro, Hideki, Ryota
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Room for the River: delivering integrated river basin management in the Netherlands
Citation: 183
Authors: Jeroen, Sebastiaan, Chris, Richard
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A Brief review of flood forecasting techniques and their applications
Citation: 182
Authors: Sharad Kumar, Pankaj, Sanjay K., Pavithra, Vijay P., Desiree, Sanjay, S. P., A. P.
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Resilience strategies for flood risk management in the Netherlands
Citation: 171
Authors: M., F., K.M., M.
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Prediction of water quality index (WQI) using support vector machine (SVM) and least square-support vector machine (LS-SVM)
Citation: 169
Authors: Wei Cong, Alireza, Jie, Z.
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Development of a European flood forecasting system
Citation: 166
Authors: Ad P.J., Ben, Jutta, Jens, Paolina, Ezio, Paul D., Matt, Neil, Keith, Florian, Erdmann, Gdaly, Michael, Anthony, Bo, Jaap, Paolo, Marc, Kai, Eric
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Determination of flow resistance caused by nonâ€submerged woody vegetation
Citation: 165
Authors: Juha
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Rivers, chars and char dwellers of Bangladesh
Citation: 159
Authors: Maminul Haque, Iffat, Mustafa, Rob
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A framework for uncertainty analysis in flood risk management decisions
Citation: 157
Authors: Jim, Dimitri
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A model conditional processor to assess predictive uncertainty in flood forecasting
Citation: 157
Authors: E.