Water Resources Management under Uncertainty and Climate Change
A special issue of Hydrology (ISSN 2306-5338). This special issue belongs to the section "Hydrology–Climate Interactions".
Deadline for manuscript submissions: 31 August 2024 | Viewed by 10731
Special Issue Editors
Interests: hydrogeology; water resources; modelling; uncertainty analysis
Interests: water resources; modelling; seawater intrusion
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Hydrological processes are inherently uncertain for various reasons, such as the stochastic nature of many natural parameters and measurement errors and computation/modelling errors, among others. Climate change is another significant factor that increases the uncertainty of hydrological processes, due to unexpected climate phenomena such as floods, droughts and wildfires. Extreme events such as heavy rainfall, snowstorms, floods and increases in temperature affect the water cycle in many ways, which requires special attention. Some of the direct impacts of climate change include water resource availability, land degradation, water pollution, flood risk and land use. Indirect impacts include land management, population, and economic and social development. Sustainable water resource management incorporates environmental, economic, and social factors, which requires a reliable knowledge of all factors affecting these sustainability measures. This makes water resource management a real challenge for hydrologists because of the interconnections between these factors and the uncertainty involved.
This Special Issue aims to compile state-of-the-art original research work on uncertainty quantification in hydrology and water resource management, considering the impact of climate change.
Suggested themes and article types for submissions include:
- New methods of modelling uncertainty in hydrological processes.
- Water resource management considering climate change.
- Impact of uncertainty and climate change on water quality.
- Using artificial intelligence tools to cope with uncertainty in hydrology.
Dr. Husam Musa Baalousha
Dr. Marwan Fahs
Guest Editors
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. Hydrology is an international peer-reviewed open access monthly 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 1800 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
- hydrological processes
- uncertainty analysis
- water resources management
- climate change
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