乌克兰河流流域的高分辨率水文数据集与交互式Web界面

IF 2.4 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
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

摘要

乌克兰水资源的持续重建和战后重建对粮食生产、公共卫生、能源、工业和环境保护至关重要。这是欧洲自第二次世界大战以来最雄心勃勃的努力,由于缺乏有效管理水生态系统的可获得的决策支持工具,因此面临挑战。作为回应,我们利用SWAT(水土评估工具)模型开发了乌克兰流域的高分辨率水文模型,以评估覆盖873,600平方公里面积的所有九个主要河流流域的水平衡。该模型被集成到一个名为“土地和水”的交互式web界面中,该界面为模型输入和输出提供公共访问,并考虑了FAIR(可查找、可访问、可互操作、可重用)原则进行设计。多方面的校准方法,结合软硬方法,确保地表,横向和地下水动态的平衡性能。该平台使用户能够可视化和下载模型结果,支持专家和非专家进行与水有关的决策。该研究展示了该模型如何帮助填补关键的数据缺口——提供跨界流入的河流流量、Kakhovka水库周围的总流量和地下水流量以及潜在的蒸腾和作物生长的估算,以评估灌溉需求。总体而言,该数据集为乌克兰的复苏提供了一个有价值的工具,促进了透明的水治理,并支持水质、气候适应和可持续农业方面的环境研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A High-Resolution Hydrological Dataset for Ukrainian River Basins With an Interactive Web Interface

A High-Resolution Hydrological Dataset for Ukrainian River Basins With an Interactive Web Interface

A High-Resolution Hydrological Dataset for Ukrainian River Basins With an Interactive Web Interface

A High-Resolution Hydrological Dataset for Ukrainian River Basins With an Interactive Web Interface

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.

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来源期刊
Geoscience Data Journal
Geoscience Data Journal GEOSCIENCES, 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.
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