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Methodological aspects of snow cover sampling for chemical analysis

  • Natalia I. Ianchenko EMAIL logo and Ekaterina I. Kotova

Abstract

At present there is a steady increase in scientific publications on studying the chemical composition of snow cover. At the same time, there are practically no modern publications on the methods of snow cover sampling for chemical analysis. The rapid development of analytical ways to determine the composition of samples in general justifies the need to improve the methodology of snow cover sampling. Today, researchers use a variety of adapted sampling methods depending on the goal, the geographic location of the study area, and the analyzed component. Each publication contains a rationale for the sampling method used. This article describes the methodology of sampling snow cover to determine its density. Methods of taking snow cover samples to determine its chemical composition most often depend on the chosen practices. The primary systematization of snow cover sampling methods has been carried out. Synthesis of literature reveals some problems, including the need for improved standardized techniques of snow sampling for chemical analysis and for the development of applied instrumentation to address snow geochemistry.


Corresponding author: Natalia I. Ianchenko, Irkutsk National Research Technical University, 83, Lermontov Street, Irkutsk, 664074, Russia, e-mail:

Article note: Snow cover, atmospheric precipitation, aerosols: chemistry and climate: reports of the III Baikal international scientific conference endorsed by IUPAC (March 23–27, 2020).


Funding source: Shirshov Institute of Oceanology, Russian Academy of Sciences http://dx.doi.org/10.13039/501100019703

Award Identifier / Grant number: 0128-2021-0006

Funding source: Russian Foundation for Basic Research http://dx.doi.org/10.13039/501100002261

Award Identifier / Grant number: 19-05-00938

  1. Research funding: The results of the studies were obtained within the state task (No. 0128-2019-0006). The reported study was funded by RFBR according to the research project № 19-05-00938.

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Published Online: 2021-12-17
Published in Print: 2022-03-28

© 2021 IUPAC & De Gruyter. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. For more information, please visit: http://creativecommons.org/licenses/by-nc-nd/4.0/

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