Valeriy Osypov, Arun Bawa, Nataliia Osadcha, Volodymyr Osadchyi, Oleksii Shevchenko, Andrii Bonchkovskyi, Oleksandr Kostetskyi, Viktor Nikoriak, Yurii Ahafonov, Yevhenii Matviienko, Herman Mossur, Fearghal O'Donncha, Michael Jacobs, Raghavan Srinivasan, Jeff Arnold, Michael J. White
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引用次数: 0
Abstract
The ongoing and post-war reconstruction of Ukrainian water resources is critical for food production, public health, energy, industry and environmental protection. This effort, the most ambitious in Europe since World War II, faces challenges due to a lack of accessible decision-support tools for managing water ecosystems effectively. In response, we developed a high-resolution hydrological model of the Ukrainian Watershed using the SWAT (Soil and Water Assessment Tool) model to assess water balance across all nine major river basins, covering an area of 873,600 km2. The model is integrated into an interactive web interface—named ‘Land & Water’—which provides public access to model inputs and outputs and was designed considering FAIR (Findable, Accessible, Interoperable, Reusable) principles. A multifaceted calibration approach, combining soft and hard methods, ensures balanced performance for surface, lateral and groundwater dynamics. The platform enables users to visualise and download model results, supporting both experts and non-experts in water-related decision making. The study demonstrates how the model helps close critical data gaps—providing estimates of river discharge for transboundary inflows, total and groundwater flow around the Kakhovka reservoir, and potential transpiration and crop growth to assess irrigation needs. Overall, the dataset offers a valuable tool for Ukraine's recovery, fosters transparent water governance, and supports environmental research on water quality, climate adaptation and sustainable agriculture.
Geoscience Data JournalGEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
5.90
自引率
9.40%
发文量
35
审稿时长
4 weeks
期刊介绍:
Geoscience Data Journal provides an Open Access platform where scientific data can be formally published, in a way that includes scientific peer-review. Thus the dataset creator attains full credit for their efforts, while also improving the scientific record, providing version control for the community and allowing major datasets to be fully described, cited and discovered.
An online-only journal, GDJ publishes short data papers cross-linked to – and citing – datasets that have been deposited in approved data centres and awarded DOIs. The journal will also accept articles on data services, and articles which support and inform data publishing best practices.
Data is at the heart of science and scientific endeavour. The curation of data and the science associated with it is as important as ever in our understanding of the changing earth system and thereby enabling us to make future predictions. Geoscience Data Journal is working with recognised Data Centres across the globe to develop the future strategy for data publication, the recognition of the value of data and the communication and exploitation of data to the wider science and stakeholder communities.