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The exploratory dataset of isotopic composition of different water sources across Kazakhstan.
Yapiyev, Vadim; Ongdas, Nurlan; Pinkerneil, Sylvia; Samarkhanov, Kanat; Kabdeshev, Arman; Karakulov, Yergali; Muzdybaev, Murat; Atalikhova, Aksholpan; Stefan, Catalin; Sagin, Jay; Fustic, Milovan.
Affiliation
  • Yapiyev V; International Science Complex Astana, Kabanbay Batyr Ave 8, Astana 020000, Kazakhstan.
  • Ongdas N; School of Mining and Geosciences, Nazarbayev University, 53 Kabanbay Batyr Ave, Astana, 010000, Kazakhstan.
  • Pinkerneil S; The Environment & Resource Efficiency Cluster (EREC), Nazarbayev University, 53 Kabanbay Batyr Ave, Astana, 010000, Kazakhstan.
  • Samarkhanov K; International Science Complex Astana, Kabanbay Batyr Ave 8, Astana 020000, Kazakhstan.
  • Kabdeshev A; Research Group INOWAS, Department of Hydro Sciences, Technische Universität Dresden, 01069 Dresden, Germany.
  • Karakulov Y; Section Climate Dynamics and Landscape Evolution, Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany.
  • Muzdybaev M; International Science Complex Astana, Kabanbay Batyr Ave 8, Astana 020000, Kazakhstan.
  • Atalikhova A; International Science Complex Astana, Kabanbay Batyr Ave 8, Astana 020000, Kazakhstan.
  • Stefan C; International Science Complex Astana, Kabanbay Batyr Ave 8, Astana 020000, Kazakhstan.
  • Sagin J; International Science Complex Astana, Kabanbay Batyr Ave 8, Astana 020000, Kazakhstan.
  • Fustic M; International Science Complex Astana, Kabanbay Batyr Ave 8, Astana 020000, Kazakhstan.
Data Brief ; 54: 110360, 2024 Jun.
Article de En | MEDLINE | ID: mdl-38590614
ABSTRACT
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.
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Data Brief Année: 2024 Type de document: Article Pays d'affiliation: Kazakhstan

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Data Brief Année: 2024 Type de document: Article Pays d'affiliation: Kazakhstan