The exploratory dataset of isotopic composition of different water sources across Kazakhstan
Vadim Yapiyev,
Nurlan Ongdas,
Sylvia Pinkerneil,
Kanat Samarkhanov,
Arman Kabdeshev,
Yergali Karakulov,
Murat Muzdybaev,
Aksholpan Atalikhova,
Catalin Stefan,
Jay Sagin,
Milovan Fustic
Affiliations
Vadim Yapiyev
International Science Complex Astana, Kabanbay Batyr Ave 8, Astana 020000, Kazakhstan; School of Mining and Geosciences, Nazarbayev University, 53 Kabanbay Batyr Ave, Astana, 010000, Kazakhstan; The Environment & Resource Efficiency Cluster (EREC), Nazarbayev University, 53 Kabanbay Batyr Ave, Astana, 010000, Kazakhstan; Corresponding author.
Nurlan Ongdas
International Science Complex Astana, Kabanbay Batyr Ave 8, Astana 020000, Kazakhstan; Research Group INOWAS, Department of Hydro Sciences, Technische Universität Dresden, 01069 Dresden, Germany
Sylvia Pinkerneil
Section Climate Dynamics and Landscape Evolution, Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany
Research Group INOWAS, Department of Hydro Sciences, Technische Universität Dresden, 01069 Dresden, Germany
Jay Sagin
Kazakh-British Technical University, Tole Bi Street 59, Almaty 050000, Kazakhstan; Western Michigan University, Kalamazoo, 49008, MI, United States
Milovan Fustic
School of Mining and Geosciences, Nazarbayev University, 53 Kabanbay Batyr Ave, Astana, 010000, Kazakhstan; University of Calgary, Department of Earth, Energy, and Environment, 2500 University Drive NW, Calgary, AB T2N 1N4, Canada
This work presents the dataset of stable water isotopes of oxygen and hydrogen measured in water samples from different sources (precipitation, surface water, groundwater, tap water) across Kazakhstan from 2017 to 2018 and from 2020 to 2023. The dataset includes results on isotopic composition of 399 water samples, namely precipitation: event-based (n = 108), cumulative monthly (n = 22); surface water: lakes, reservoirs, brooks, rivers, channels (n = 175), groundwater: shallow and artesian groundwater, spring (n = 85), tapwater (n = 9). For each sample name of the source, location, latitude, longitude and date of sampling, measurement uncertainty (one standard deviation) are available. The samples were assessed by plotting the data in dual δ18O vs. δ2H isotope space with reference to values found in the published literature and fitting a linear regression equation for Astana (event) precipitation. Overall, this is the first dataset covering wide range of sources across Kazakhstan, which could be used by global and regional water resource assessments and studies such as tracing water sources, hydrograph separation and end-member analyses, isotope mass balance, evapotranspiration partitioning, residence time analysis and groundwater recharge.
