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Climate Change Impact Assessment on Freshwater Inflow into the Small Aral Sea

  • During the last few decades, the rapid separation of the Small Aral Sea from the isolated basin has changed its hydrological and ecological conditions tremendously. In the present study, we developed and validated the hybrid model for the Syr Darya River basin based on a combination of state-of-the-art hydrological and machine learning models. Climate change impact on freshwater inflow into the Small Aral Sea for the projection period 2007-2099 has been quantified based on the developed hybrid model and bias corrected and downscaled meteorological projections simulated by four General Circulation Models (GCM) for each of three Representative Concentration Pathway scenarios (RCP). The developed hybrid model reliably simulates freshwater inflow for the historical period with a Nash-Sutcliffe efficiency of 0.72 and a Kling-Gupta efficiency of 0.77. Results of the climate change impact assessment showed that the freshwater inflow projections produced by different GCMs are misleading by providing contradictory results for the projectionDuring the last few decades, the rapid separation of the Small Aral Sea from the isolated basin has changed its hydrological and ecological conditions tremendously. In the present study, we developed and validated the hybrid model for the Syr Darya River basin based on a combination of state-of-the-art hydrological and machine learning models. Climate change impact on freshwater inflow into the Small Aral Sea for the projection period 2007-2099 has been quantified based on the developed hybrid model and bias corrected and downscaled meteorological projections simulated by four General Circulation Models (GCM) for each of three Representative Concentration Pathway scenarios (RCP). The developed hybrid model reliably simulates freshwater inflow for the historical period with a Nash-Sutcliffe efficiency of 0.72 and a Kling-Gupta efficiency of 0.77. Results of the climate change impact assessment showed that the freshwater inflow projections produced by different GCMs are misleading by providing contradictory results for the projection period. However, we identified that the relative runoff changes are expected to be more pronounced in the case of more aggressive RCP scenarios. The simulated projections of freshwater inflow provide a basis for further assessment of climate change impacts on hydrological and ecological conditions of the Small Aral Sea in the 21st Century.zeige mehrzeige weniger

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Metadaten
Verfasserangaben:Georgy AyzelORCiD, Alexander IzhitskiyORCiD
DOI:https://doi.org/10.3390/w11112377
ISSN:2073-4441
Titel des übergeordneten Werks (Englisch):Water
Verlag:MDPI
Verlagsort:Basel
Publikationstyp:Wissenschaftlicher Artikel
Sprache:Englisch
Datum der Erstveröffentlichung:13.11.2019
Erscheinungsjahr:2019
Datum der Freischaltung:11.10.2020
Freies Schlagwort / Tag:Small Aral Sea; climate change; hydrology; machine learning; modeling
Band:11
Ausgabe:11
Seitenanzahl:19
Fördernde Institution:Russian Foundation for Basic Research (RFBR)Russian Foundation for Basic Research (RFBR) [17-05-01175]; RFBRRussian Foundation for Basic Research (RFBR) [19-35-60005]; Russian Science FoundationRussian Science Foundation (RSF) [16-17-10039]; Ministry of Science and Education of Russia [0149-2019-0003]
Organisationseinheiten:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Umweltwissenschaften und Geographie
DDC-Klassifikation:5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 550 Geowissenschaften
Peer Review:Referiert
Publikationsweg:Open Access
Open Access / Gold Open-Access
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