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).
Verfasserangaben: | Georgy AyzelORCiD, Alexander IzhitskiyORCiD |
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DOI: | https://doi.org/10.5194/piahs-379-151-2018 |
ISSN: | 2199-899X |
Titel des übergeordneten Werks (Englisch): | Innovative Water Resources Management in a Changing Environment – Understanding and Balancing Interactions between Humankind and Nature |
Verlag: | Copernicus |
Verlagsort: | Göttingen |
Herausgeber*in(nen): | Z Peng Xu |
Publikationstyp: | Sonstiges |
Sprache: | Englisch |
Datum der Erstveröffentlichung: | 05.06.2018 |
Erscheinungsjahr: | 2018 |
Datum der Freischaltung: | 28.02.2022 |
Band: | 379 |
Seitenanzahl: | 8 |
Erste Seite: | 151 |
Letzte Seite: | 158 |
Fördernde 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] |
Organisationseinheiten: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Geowissenschaften |
DDC-Klassifikation: | 5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 550 Geowissenschaften |
Peer Review: | Referiert |
Publikationsweg: | Open Access / Gold Open-Access |
DOAJ gelistet | |
Lizenz (Deutsch): | CC-BY - Namensnennung 4.0 International |