Geospatial Assessment of Regression Analysis Between the Hydrocarbon Content in Surface Waters and Snow Cover on the Example of the Territories of the Far North of Russia

The article presents the generalized results obtained from the analysis of oil pollution of surface waters in the fields of the Far North. The research considered the administrative territorial division of the Russian Federation, the territory of the Khanty-Mansi Autonomous Okrug — Yugra (KhMAO). Th...

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Published in:Journal of Ecological Engineering
Main Authors: Natalia Martynova, Valentina Budarova, Victoria Kravchenko
Format: Article in Journal/Newspaper
Language:English
Published: Polish Society of Ecological Engineering (PTIE) 2022
Subjects:
Online Access:https://doi.org/10.12911/22998993/145470
https://doaj.org/article/95ef0b4f914f4f29a1ceddf16a438e77
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spelling ftdoajarticles:oai:doaj.org/article:95ef0b4f914f4f29a1ceddf16a438e77 2023-05-15T17:02:55+02:00 Geospatial Assessment of Regression Analysis Between the Hydrocarbon Content in Surface Waters and Snow Cover on the Example of the Territories of the Far North of Russia Natalia Martynova Valentina Budarova Victoria Kravchenko 2022-03-01T00:00:00Z https://doi.org/10.12911/22998993/145470 https://doaj.org/article/95ef0b4f914f4f29a1ceddf16a438e77 EN eng Polish Society of Ecological Engineering (PTIE) http://www.jeeng.net/Geospatial-Assessment-of-Regression-Analysis-Between-the-Hydrocarbon-Content-in-Surface,145470,0,2.html https://doaj.org/toc/2299-8993 2299-8993 doi:10.12911/22998993/145470 https://doaj.org/article/95ef0b4f914f4f29a1ceddf16a438e77 Journal of Ecological Engineering, Vol 23, Iss 3, Pp 74-83 (2022) surface waters snow cover ecology regression analysis hydrocarbon gis mapping services Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 article 2022 ftdoajarticles https://doi.org/10.12911/22998993/145470 2022-12-31T09:47:13Z The article presents the generalized results obtained from the analysis of oil pollution of surface waters in the fields of the Far North. The research considered the administrative territorial division of the Russian Federation, the territory of the Khanty-Mansi Autonomous Okrug — Yugra (KhMAO). The results of the study performed on the basis of field data on sampling for the year were presented. The influence of the hydrocarbon content in surface waters and snow cover was assessed. The aim of the work was to consider the snow cover as a natural source of pollutants, affecting the accumulation in surface waters and snow cover. The results obtained can be used for subsequent observations of snow cover and surface waters. The data obtained can serve as a basis for planning further research and developing the solutions for environmental protection in the Far North. The analysis of the dependencies between the indicators of hydrocarbon pollution in surface waters and snow cover was carried out using the methods of correlation and parametric multivariate regression analysis. The methods of geoinformation analysis and GIS technologies were also used in the work. It was revealed that the problem of the state of snow cover and its role as an indicator of atmospheric and soil pollution require further research. On the one hand, the snow cover detains metals, and polluted soil areas are formed locally, on the other hand, after the snow melts, the pollutants remaining on the surface with surface runoff enter rivers and are carried by the wind for quite long distances. Article in Journal/Newspaper khanty khanty-mansi Mansi Directory of Open Access Journals: DOAJ Articles Journal of Ecological Engineering 23 3 74 83
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic surface waters
snow cover
ecology
regression analysis
hydrocarbon
gis mapping services
Environmental technology. Sanitary engineering
TD1-1066
Environmental sciences
GE1-350
spellingShingle surface waters
snow cover
ecology
regression analysis
hydrocarbon
gis mapping services
Environmental technology. Sanitary engineering
TD1-1066
Environmental sciences
GE1-350
Natalia Martynova
Valentina Budarova
Victoria Kravchenko
Geospatial Assessment of Regression Analysis Between the Hydrocarbon Content in Surface Waters and Snow Cover on the Example of the Territories of the Far North of Russia
topic_facet surface waters
snow cover
ecology
regression analysis
hydrocarbon
gis mapping services
Environmental technology. Sanitary engineering
TD1-1066
Environmental sciences
GE1-350
description The article presents the generalized results obtained from the analysis of oil pollution of surface waters in the fields of the Far North. The research considered the administrative territorial division of the Russian Federation, the territory of the Khanty-Mansi Autonomous Okrug — Yugra (KhMAO). The results of the study performed on the basis of field data on sampling for the year were presented. The influence of the hydrocarbon content in surface waters and snow cover was assessed. The aim of the work was to consider the snow cover as a natural source of pollutants, affecting the accumulation in surface waters and snow cover. The results obtained can be used for subsequent observations of snow cover and surface waters. The data obtained can serve as a basis for planning further research and developing the solutions for environmental protection in the Far North. The analysis of the dependencies between the indicators of hydrocarbon pollution in surface waters and snow cover was carried out using the methods of correlation and parametric multivariate regression analysis. The methods of geoinformation analysis and GIS technologies were also used in the work. It was revealed that the problem of the state of snow cover and its role as an indicator of atmospheric and soil pollution require further research. On the one hand, the snow cover detains metals, and polluted soil areas are formed locally, on the other hand, after the snow melts, the pollutants remaining on the surface with surface runoff enter rivers and are carried by the wind for quite long distances.
format Article in Journal/Newspaper
author Natalia Martynova
Valentina Budarova
Victoria Kravchenko
author_facet Natalia Martynova
Valentina Budarova
Victoria Kravchenko
author_sort Natalia Martynova
title Geospatial Assessment of Regression Analysis Between the Hydrocarbon Content in Surface Waters and Snow Cover on the Example of the Territories of the Far North of Russia
title_short Geospatial Assessment of Regression Analysis Between the Hydrocarbon Content in Surface Waters and Snow Cover on the Example of the Territories of the Far North of Russia
title_full Geospatial Assessment of Regression Analysis Between the Hydrocarbon Content in Surface Waters and Snow Cover on the Example of the Territories of the Far North of Russia
title_fullStr Geospatial Assessment of Regression Analysis Between the Hydrocarbon Content in Surface Waters and Snow Cover on the Example of the Territories of the Far North of Russia
title_full_unstemmed Geospatial Assessment of Regression Analysis Between the Hydrocarbon Content in Surface Waters and Snow Cover on the Example of the Territories of the Far North of Russia
title_sort geospatial assessment of regression analysis between the hydrocarbon content in surface waters and snow cover on the example of the territories of the far north of russia
publisher Polish Society of Ecological Engineering (PTIE)
publishDate 2022
url https://doi.org/10.12911/22998993/145470
https://doaj.org/article/95ef0b4f914f4f29a1ceddf16a438e77
genre khanty
khanty-mansi
Mansi
genre_facet khanty
khanty-mansi
Mansi
op_source Journal of Ecological Engineering, Vol 23, Iss 3, Pp 74-83 (2022)
op_relation http://www.jeeng.net/Geospatial-Assessment-of-Regression-Analysis-Between-the-Hydrocarbon-Content-in-Surface,145470,0,2.html
https://doaj.org/toc/2299-8993
2299-8993
doi:10.12911/22998993/145470
https://doaj.org/article/95ef0b4f914f4f29a1ceddf16a438e77
op_doi https://doi.org/10.12911/22998993/145470
container_title Journal of Ecological Engineering
container_volume 23
container_issue 3
container_start_page 74
op_container_end_page 83
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