Coupling physically based and data-driven models for assessing freshwater inflow into the Small Aral Sea
- The Aral Sea desiccation and related changes in hydroclimatic conditions on a regional level is a hot topic for past decades. The key problem of scientific research projects devoted to an investigation of modern Aral Sea basin hydrological regime is its discontinuous nature - the only limited amount of papers takes into account the complex runoff formation system entirely. Addressing this challenge we have developed a continuous prediction system for assessing freshwater inflow into the Small Aral Sea based on coupling stack of hydrological and data-driven models. Results show a good prediction skill and approve the possibility to develop a valuable water assessment tool which utilizes the power of classical physically based and modern machine learning models both for territories with complex water management system and strong water-related data scarcity. The source code and data of the proposed system is available on a Github page (https://github.com/SMASHIproject/IWRM2018).
Author details: | Georgy AyzelORCiD, Alexander IzhitskiyORCiD |
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DOI: | https://doi.org/10.5194/piahs-379-151-2018 |
ISSN: | 2199-899X |
Title of parent work (English): | Innovative Water Resources Management in a Changing Environment – Understanding and Balancing Interactions between Humankind and Nature |
Publisher: | Copernicus |
Place of publishing: | Göttingen |
Editor(s): | Z Peng Xu |
Publication type: | Other |
Language: | English |
Date of first publication: | 2018/06/05 |
Publication year: | 2018 |
Release date: | 2022/02/28 |
Volume: | 379 |
Number of pages: | 8 |
First page: | 151 |
Last Page: | 158 |
Funding institution: | Russian Foundation for Basic Research (RFBR)Russian Foundation for Basic Research (RFBR) [17-05-01175 A]; Russian Science FoundationRussian Science Foundation (RSF) [16-17-10039] |
Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Geowissenschaften |
DDC classification: | 5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 550 Geowissenschaften |
Peer review: | Referiert |
Publishing method: | Open Access / Gold Open-Access |
DOAJ gelistet | |
License (German): | CC-BY - Namensnennung 4.0 International |