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Precipitation in the mountains of Central Asia: isotopic composition and source regions

Zarina SaidaliyevaDepartment of Geography and Environmental Science, University of Reading, Reading, RG66AB, UKMaria ShahgedanovaDepartment of Geography and Environmental Science, University of Reading, Reading, RG66AB, UKVadim YapiyevDepartment of Geography and Environmental Science, University of Reading, Reading, RG66AB, UKAndrew J. WadeDepartment of Geography and Environmental Science, University of Reading, Reading, RG66AB, UKFakhriddin AkbarovMukhammed Esenaman uuluCentral-Asian Institute for Applied Geosciences, Bishkek, 720027, KyrgyzstanOlga KalashnikovaCentral-Asian Institute for Applied Geosciences, Bishkek, 720027, KyrgyzstanVassiliy KapitsaCentral Asian Regional Glaciological Centre Under the Auspices of UNESCO, Almaty, 050010, KazakhstanNikolay KasatkinCentral Asian Regional Glaciological Centre Under the Auspices of UNESCO, Almaty, 050010, KazakhstanIlkhomiddin RakhimovInstitute of Water Problems, Hydropower and Environment, Dushanbe, 734025, TajikistanRysbek SatylkanovDaniiar SayakbaevEleonora SemakovaUlugh Beg Astronomical Institute of the Uzbekistan Academy of Science Tashkent, 100052, UzbekistanIgor SeverskiyCentral Asian Regional Glaciological Centre Under the Auspices of UNESCO, Almaty, 050010, KazakhstanMaxim PetrovGulomjon UmirzakovNational University of Uzbekistan, Tashkent, 100174, UzbekistanRyskul UsubalievCentral-Asian Institute for Applied Geosciences, Bishkek, 720027, Kyrgyzstan
2023en
ABI

Аннотация

Abstract. Isotopic composition of precipitation in the mountains of four Central Asian countries (Kazakhstan, Kyrgyzstan, Tajikistan and Uzbekistan) was measured using 908 event-based precipitation samples collected at eight sites in 2019–2021, and 7 monthly samples from Dushanbe (Tajikistan) thereby filling a gap in stable isotope data for the region. Regional and seasonal patterns of δ18O, δD and D-excess were investigated. Local Meteoric Water Lines (LMWL) derived using seven regression methods using both non-weighted and weighted precipitation. It is recommended that the non-weighted Ordinary Least Squares Regression (OLSR) and Reduced Major Axis Regression (RMA) methods can be applied across the region except in summer, when the Precipitation-Weighted Least Squares Regression (PWLSR) method is recommended. An atmospheric back trajectory analysis and a mixing model were applied in combination for the first time, using the δ18O, δD and D-excess data, to identify the atmospheric moisture source regions and quantify the relative importance. The main distant sources were the Black and Caspian Seas region, Iran – eastern Mediterranean, and northern Kazakhstan – Siberia. The recycled moisture from the irrigated lower reaches of the Amu Darya and Syr Darya rivers, and from the study catchments, accounted for 29–71 % of the atmospheric moisture reaching the observation points. In spring, summer and winter, in the Chon-Kyzyl-Suu catchment, up to 85 % of the precipitation was estimated to be derived from local re-evaporation, most likely from Lake Issyk Kul. These findings highlight the importance of moisture from terrestrial sources, especially irrigated land, in precipitation formation in Central Asia.

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