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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URN: | urn:nbn:de:kobv:517-opus4-427873 |
DOI: | https://doi.org/10.25932/publishup-42787 |
ISSN: | 1866-8372 |
Title of parent work (English): | Postprints der Universität Potsdam Mathematisch-Naturwissenschaftliche Reihe |
Publication series (Volume number): | Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe (703) |
Publication type: | Postprint |
Language: | English |
Date of first publication: | 2019/04/26 |
Publication year: | 2018 |
Publishing institution: | Universität Potsdam |
Release date: | 2019/04/26 |
Tag: | Asia; catchments; climate-change; river-basin; runoff |
Issue: | 703 |
Number of pages: | 8 |
First page: | 151 |
Last Page: | 158 |
Source: | Proceedings of the International Association of Hydrological Sciences (PIAHS) 379 (2018), pp. 151–158 DOI: 10.5194/piahs-379-151-2018 |
Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät |
DDC classification: | 5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 550 Geowissenschaften |
Peer review: | Referiert |
Publishing method: | Open Access |
Grantor: | Copernicus |
License (German): | CC-BY - Namensnennung 4.0 International |