GEOSTATISTICAL STUDY OF LATERAL AND RADIAL DISTRIBUTION OF CONCENTRATIONS OF CHEMICAL ELEMENTS IN THE SOIL OF MODERATE TECHNOGENESIS ZONE (on example of Kyiv suburbia)
DOI:
https://doi.org/10.17721/17282713.79.12Keywords:
biplot, hyperspace geochemical factors and causes, compositional data, technogenesis, biogenesis, lithological and mineralogical factorAbstract
Average concentrations of chemical elements in the soil depends on the action of natural and techogenic factors and are characterized by different regularities of migration and accumulation in the lateral and radial directions. Study of concentrations of chemical elements in soils of different elementary geochemical landscapes makes it possible to identify some of the important statistically significant regularities of distribution of chemical elements on the territory of Irpin-Bucha-Vorzel of Kyiv suburban area. The analysis of 190 samples from 36 full-profile soil profiles formed the basis of compositional data (CoDa). CoDa is vector product of the measured values ff concentrations of chemical elements in each sample of soil. Geostatistical model biplot of CoDa is a hyperspace of geochemical factors and reasons with dimension corresponding to the amount determined in samples of chemical elements. Projection of hyperspace on the plane with "star" biplot especially together with projection of sampling points can demonstrate the probabilities of indicators of action of various geochemical factors and causes that occur in the study area. Clustering of sampling points occurs in a possible impact of certain factors on the group geochemical samples. The geostatistical parameters obtained by modeling SoDa in La-Ce-Nd 12-dimensional and Fe-Sr-Ga 9-dimensional hyperspaces mark an area of geochemical factor "influence of initial mineral composition of rocks". The area is defined by relevant geostatistical parameters Rb-Sr-Ba in 12-dimensional and Ba-R in 9-dimensional hyperspaces statistically "linked" to the acid-alkaline conditions in soils. Manganese area in the mentioned above area and 6-dimensional hyperspace of Fe mark the oxidationreduction conditions in soils. Area of Pb suggests to determine a pyrogenic component of technogenic influence associated with vehicle emissions. Zn-Cu area is associated with impact of biogenic processes. Relative impact geochemical factors on the elemental composition of the upper (10 cm) layer of soil geochemical factors surveyed area are ranged in row: technogenesis > biogenesis > effect of initial lithogenic basis. The analysis of 6dimensional hyperspace gave general trend to group between areas that are marked Fe-Sr-Ba-Rb (lithological and mineralogical factor) and Pb (technogenesis, especially atmospheric pollution caused by road). For soil sampling points of the subordinate landscapes there is a tendency to highlight grouped areas marked Fe-Sr-Ba-Rb, Zn and Zn, Pb. Geochemical factors and reasons most clearly effect in the analysis SoDa samples taken with reference to the genetic soil horizons than those selected from formal deep layer.
References
Belozertseva, I.A., Lopatina, D.N. (2015). Technogenic impact on soils of the urbanized territories of Siberia. Fundamental research. Geographical sciences, 2, 5397–5403. [Іn Russian].
Buzina, I.M. (2012) Studies of soil in terms of technogenesis condition. Proceedings ZhNAEU, 2, 1, 232–241. (http://ir.znau.edu.ua/ handle/123456789/298). [Іn Ukrainian].
Voytsihovska, A.S., Karabyn, V.V., Pohrebennyk, V.D. (2013). Distribution of different forms of mobility zinc in soils in the area of technogenic dumps. Proceedings of DonNTU. Series "Mining and Geology", 19 (209), 3–9. [Іn Ukrainian].
Voytsytskyy, A.P., Dubrovsky, V.P., Bogolyubov, V.M, Ed. Bogolyubov, V.M. (2009). Technoecology. K: Agricultural Education, 533 p. [Іn Ukrainian].
Krasilnikov, P.V. (Ed.) (2007). Geostatistics and geography of soils. М. :Science,175 р. [Іn Russian].
Saet, Yu.E., Revych, B.A., Yanyn, E.P. et al. (1990). Enviromental geochemistry. M. : Depths, 335 p. [Іn Russian].
Izyumova, O.G. (2013) Water-physical properties of soil technogenesis. Agroecological Journal, 3, 29–35. [Іn Ukrainian].
Kotovenko, A.A., Miroshnichenko, O.Yu., Bereznytska, Y.O., Shostal Yu.V. (2014). Probabilistic Automaton Modeling in studies of migration processes in soils. East Europe Journal Advanced Technology,4/10 (70), 3743. [Іn Ukrainian].
Jovanovic, L., Ermakov, V. (2010). Influence of the technogenesis upon biosphere (for example of mercury and selenium). Scientific Labor Rusenskyya at University,49, 1.2, 114–119. [in Russian].
Kabata-Pendyas, A., Pendyas, H. (1989). Microelements in soils and plants: M.World,426 p. [in Russian].
Karabyn, V.V, Voytsihovska, A.S., Pohrebennyk, V.D. (2012). The forms of copper bedding in dump soils of the man-caused area. Naukovi pratsi Donetskoho natsionalnoho tekhnichnoho universytetu. Seriia: Hirnychoheolohichna, 16 (206), 193–198. [in Ukrainian].
Nazarenko, I.I., Polchyna, S.M., Nikorych, V.A. (2004). Soil. Chernivtsi: Books – XXI, 400 p. [in Ukrainian].
Stepanova, L.P., Korenkova, E.A. (2010). The influence of technogenesis on the geochemistry and ecological capacity of the landscape. Orel: Publishing house Orel. SAU, 260 p. [in Russian].
Tyutyunnyk, Yu.H., Onyshchuk, I.I., Shabatura, A.V. (2004). Electrical resistivity of genetic soil horisonts. Soil Science,2, 209–213. [in Russian].
Tyutyunnyk, Yu.H., Tolstoy, M.I., Shabatura, O.V. (2003). Mathmodeling of migration and accumulation of 40K i 137Sr in soils of IrpinBucha-Vorzel recreation zone. Abstract of IV International science conference "Monitoring dangerous geologic processes and ecological state of environmental". K.:Kiev Universuty, 101–102. [in Ukrainian].
Aitchison, J., Greenacre, M. (2002). Biplot of compositional data. Applied Statistics, 5, 375–392. 17. Cadenasso, M.L., Pickett, S.T.A., Weathers, K.C. et al. (2003). An Interdisciplinary and Synthetic Approach to Ecological Boundaries. BioScience, 53, 8, [0717:AIASAT]2.0.CO;2). 717–722. (doi: 10.1641/0006-3568(2003)053
Cruz-Bello, G.M., Sotelo-Ruiz, E.D. (2013). Coupling Spatial Multiattribute Analysis and Optimization to Identify Reforestation Priority Areas. Mountain Research and Development, 33, 1, 29–33. (doi: 10.1659/MRD-JOURNAL-D-12-00085.1).
Martín-Fernández, J.A., Daunis-i-Estadella, J., Tyutyunnik, Y.G. (2004). Esperiencia del estudio geoestadístico de composición química de suelos, de los indicadores de factores y de las condiciones geoquímicas: Report de Recerca IMA 04-01-RR.Girona: Universitat de Girona, 50 p.
Kim, D., Bae, Yu. K., Jin, P.S. (2008) Identification and Visualization of Complex Spatial Pattern of Coastal Dune Soil Properties Using GIS-Based Terrain Analysis and Geostatistics. Journal of Coastal Research, 50–60. (doi: 10.2112/06-0721.1).
Miroshnychenko, M., Krivitska, I., Hladkikh, Y. (2017). Monitoring of urban soil contamination under various technogenic impact: Comparison of the two seaside cities. Geophysical Research Abstracts, 19, EGU2017, 323.
Pawlowsky-Glahn, V., Olea, R. A. (2004). Geostatistical Analysis of Compositional Data. Oxford: Oxford University Press, 304 p.
Charzyński, P (ed.), Hulisz, P., Bednarek, R. (2013). Technogenic soils of Poland. Polish Society of soil science. Toruń, 358 p.
Tyutyunnik, Yu., Shabatura, O. (2004). Electrical Resistivity of genetic soil horizons. Eurasian Soil Sciences, 37, 2, 177–180.
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