English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Journal Article

The exploratory dataset of isotopic composition of different water sources across Kazakhstan

Authors

Yapiyev,  Vadim
External Organizations;

Ongdas,  Nurlan
External Organizations;

/persons/resource/sytopi

Pinkerneil,  Sylvia
4.3 Climate Dynamics and Landscape Evolution, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Samarkhanov,  Kanat
External Organizations;

Kabdeshev,  Arman
External Organizations;

Karakulov,  Yergali
External Organizations;

Muzdybaev,  Murat
External Organizations;

Atalikhova,  Aksholpan
External Organizations;

Stefan,  Catalin
External Organizations;

Sagin,  Jay
External Organizations;

Fustic,  Milovan
External Organizations;

External Ressource
No external resources are shared
Fulltext (public)

5026280.pdf
(Publisher version), 879KB

Supplementary Material (public)
There is no public supplementary material available
Citation

Yapiyev, V., Ongdas, N., Pinkerneil, S., Samarkhanov, K., Kabdeshev, A., Karakulov, Y., Muzdybaev, M., Atalikhova, A., Stefan, C., Sagin, J., Fustic, M. (2024): The exploratory dataset of isotopic composition of different water sources across Kazakhstan. - Data in Brief, 54, 110360.
https://doi.org/10.1016/j.dib.2024.110360


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5026280
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.