Assessment of landscape impact on snow chemical composition in terms of mineral geochemical exploration; Applied Geochemistry; Vol. 178
| Parent link: | Applied Geochemistry.— .— Amsterdam: Elsevier Science Publishing Company Inc. Vol. 178.— 2025.— Article number 106238, 13 p. |
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| Συγγραφή απο Οργανισμό/Αρχή: | |
| Άλλοι συγγραφείς: | , , , , , , , |
| Περίληψη: | In areas with cold climate seasonal snowpack is an attractive sampling material for geochemical exploration of deep mineral accumulations. However, previous studies on assessment of exploration efficiency of snow cover have paid little attention to snow composition variability conditioned by local landscape structure.
The layered sampling of snow sections was performed in different landscape settings of the local area. The research area is characterized by the absence of ore mineralization zones and low anthropogenic load. The physical-chemical parameters and concentration of wide range of elements were identified in snowmelt. Multi-component data was integrated by means of factor principal component analysis. Besides, additive and differential geochemical indexes were used. The classification snow models were developed using hierarchical cluster analysis. The variance of chemical elements distribution and factor models of geochemical pattern were compared before and after reduction of background fluctuation. In terms of variation coefficient values of chemical elements the area has background parameters of chemical inhomogeneity. In total variance a lateral component prevails over a vertical one. The highest concentrations of chemical elements were found in snow section of forest landscape. It is necessary to take into account the fact of geochemical background fluctuation when interpreting the data of metal assay snow survey.
After the reduction of lateral geochemical background fluctuation, the factor model has better classified the chemical elements in terms of their connection with soluble and insoluble occurrence forms. The values of differential index of liquid and solid phases have a similar satisfactory vertical variability in different landscapes. The analysis of chemical elements concentration reveals snow horizons that were or are affected by thaw and percolating water. The snow bottom layer, which is sampled at geochemical exploration, is not strong influenced by elution Текстовый файл AM_Agreement |
| Γλώσσα: | Αγγλικά |
| Έκδοση: |
2025
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| Θέματα: | |
| Διαθέσιμο Online: | https://doi.org/10.1016/j.apgeochem.2024.106238 |
| Μορφή: | Ηλεκτρονική πηγή Κεφάλαιο βιβλίου |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=678052 |
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| 200 | |a Assessment of landscape impact on snow chemical composition in terms of mineral geochemical exploration |f Igor S. Sobolev, Roman Yu Gavrilov, Egor G. Yazikov [et al.] | ||
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| 330 | |a In areas with cold climate seasonal snowpack is an attractive sampling material for geochemical exploration of deep mineral accumulations. However, previous studies on assessment of exploration efficiency of snow cover have paid little attention to snow composition variability conditioned by local landscape structure. The layered sampling of snow sections was performed in different landscape settings of the local area. The research area is characterized by the absence of ore mineralization zones and low anthropogenic load. The physical-chemical parameters and concentration of wide range of elements were identified in snowmelt. Multi-component data was integrated by means of factor principal component analysis. Besides, additive and differential geochemical indexes were used. The classification snow models were developed using hierarchical cluster analysis. The variance of chemical elements distribution and factor models of geochemical pattern were compared before and after reduction of background fluctuation. In terms of variation coefficient values of chemical elements the area has background parameters of chemical inhomogeneity. In total variance a lateral component prevails over a vertical one. The highest concentrations of chemical elements were found in snow section of forest landscape. It is necessary to take into account the fact of geochemical background fluctuation when interpreting the data of metal assay snow survey. After the reduction of lateral geochemical background fluctuation, the factor model has better classified the chemical elements in terms of their connection with soluble and insoluble occurrence forms. The values of differential index of liquid and solid phases have a similar satisfactory vertical variability in different landscapes. The analysis of chemical elements concentration reveals snow horizons that were or are affected by thaw and percolating water. The snow bottom layer, which is sampled at geochemical exploration, is not strong influenced by elution | ||
| 336 | |a Текстовый файл | ||
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| 461 | 1 | |t Applied Geochemistry |c Amsterdam |n Elsevier Science Publishing Company Inc. | |
| 463 | 1 | |t Vol. 178 |v Article number 106238, 13 p. |d 2025 | |
| 610 | 1 | |a Snow section | |
| 610 | 1 | |a Local landscape | |
| 610 | 1 | |a Layer-by-layer sampling | |
| 610 | 1 | |a Chemical composition | |
| 610 | 1 | |a Factor model | |
| 610 | 1 | |a Lateral and vertical variability | |
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
| 701 | 1 | |a Sobolev |b I. S. |g Igor Stanislavovich | |
| 701 | 1 | |a Gavrilov |b R. Yu. |c Russian geologist |c Associate Professor of Tomsk Polytechnic University, Candidate of geological and mineralogical sciences |f 1978- |g Roman Yurievich |9 16478 | |
| 701 | 1 | |a Yazikov |b Y. G. |c Doctor of geological and mineralogical sciences |c Professor of Tomsk Polytechnic University |f 1955 |g Yegor (Egor) Grigoryevich |9 14738 | |
| 701 | 1 | |a Tentyukov |b M. P. |g Mikhail Panteleymonovich | |
| 701 | 1 | |a Matveenko |b I. A. |g Irina Alekseevna | |
| 701 | 1 | |a Khvaschevskaya |b A. A. |c hydrogeologist |c Associate Professor of Tomsk Polytechnic University, Candidate of geological and mineralogical sciences |f 1969- |g Albina Anatolievna |9 15191 | |
| 701 | 1 | |a Soboleva |b N. P. |c specialist in the field of landscape |c Associate Professor of Tomsk Polytechnic University, Candidate of geographical sciences |f 1975- |g Nadezhda Petrovna |9 16353 | |
| 701 | 1 | |a Buchelnikov |b V. S. |g Viktor Sergeevich | |
| 712 | 0 | 2 | |a National Research Tomsk Polytechnic University |c (2009- ) |9 27197 |4 570 |
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