Zoning of the White Sea catchment area by the degree of continental runoff influence on the marine environment

Methodologies for the integral evaluation of the potential impact of continental runoff on the marine aquatic environment have been developed and tested in relation to the catchment area of the White Sea. Integral indicators of pollution potential (PP) and self-purification capacity (SPC) of the riv...

Full description

Bibliographic Details
Published in:Vestnik MGTU
Main Author: Bulavina A. S.
Format: Article in Journal/Newspaper
Language:Russian
Published: Murmansk State Technical University 2018
Subjects:
A
Online Access:https://doi.org/10.21443/1560-9278-2018-21-1-117-127
https://doaj.org/article/ef154e203c4e442f9c5e04bfc1ec21b9
id ftdoajarticles:oai:doaj.org/article:ef154e203c4e442f9c5e04bfc1ec21b9
record_format openpolar
spelling ftdoajarticles:oai:doaj.org/article:ef154e203c4e442f9c5e04bfc1ec21b9 2023-05-15T16:02:59+02:00 Zoning of the White Sea catchment area by the degree of continental runoff influence on the marine environment Bulavina A. S. 2018-03-01T00:00:00Z https://doi.org/10.21443/1560-9278-2018-21-1-117-127 https://doaj.org/article/ef154e203c4e442f9c5e04bfc1ec21b9 RU rus Murmansk State Technical University http://vestnik.mstu.edu.ru/show-eng.shtml?art=1934&pdf=1 https://doaj.org/toc/1560-9278 https://doaj.org/toc/1997-4736 doi:10.21443/1560-9278-2018-21-1-117-127 1560-9278 1997-4736 https://doaj.org/article/ef154e203c4e442f9c5e04bfc1ec21b9 Vestnik MGTU, Vol 21, Iss 1, Pp 117-127 (2018) White Sea catchment area continental runoff integral assessment anthropogenic load self-purification of rivers General Works A article 2018 ftdoajarticles https://doi.org/10.21443/1560-9278-2018-21-1-117-127 2022-12-31T14:58:11Z Methodologies for the integral evaluation of the potential impact of continental runoff on the marine aquatic environment have been developed and tested in relation to the catchment area of the White Sea. Integral indicators of pollution potential (PP) and self-purification capacity (SPC) of the river waters have been calculated within the boundaries of the hydrologic areas. The following indicators have been used to calculate the PP: the volume of wastewater and the population density in the catchment area (anthropogenic components of pollution), sediment load (a natural component of pollution). Such natural settings of the catchment as the lake percentage, woodiness and the role of topography in self-purification of rivers have been used to calculate the SPC. The quality of river waters, entering the sea, is the result of the ratio of the proposed integrated indicators. On the basis of the quantitative ratios of PP and SPC, the zoning of the catchment area according to the degree of the negative impact of river waters on water quality in the White Sea has been performed. The resulting zoning scheme is demonstrated as a holistic picture, representing a complex of natural-economic factors on the river catchments of the White Sea basin. It has been revealed that river runoff from a considerable part of the catchment area has not a significant negative impact on the water quality on the White Sea. The greatest pollution effect on the waters of the White Sea has the Northern Dvina River and the Niva River. The obtained data are well correlated with the data of hydrochemical observations in the bays of the White Sea. The objectivity of integrated assessment has been provided by the base on a large number of field data and the exception of the indicators that have not quantitative expression. The obtained results can be used to develop scientifically valid environmental programmes and to plan industrial development in the catchment area. Article in Journal/Newspaper dvina White Sea Directory of Open Access Journals: DOAJ Articles Niva ENVELOPE(23.913,23.913,66.136,66.136) White Sea Vestnik MGTU 21 1 117 127
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language Russian
topic White Sea catchment area
continental runoff
integral assessment
anthropogenic load
self-purification of rivers
General Works
A
spellingShingle White Sea catchment area
continental runoff
integral assessment
anthropogenic load
self-purification of rivers
General Works
A
Bulavina A. S.
Zoning of the White Sea catchment area by the degree of continental runoff influence on the marine environment
topic_facet White Sea catchment area
continental runoff
integral assessment
anthropogenic load
self-purification of rivers
General Works
A
description Methodologies for the integral evaluation of the potential impact of continental runoff on the marine aquatic environment have been developed and tested in relation to the catchment area of the White Sea. Integral indicators of pollution potential (PP) and self-purification capacity (SPC) of the river waters have been calculated within the boundaries of the hydrologic areas. The following indicators have been used to calculate the PP: the volume of wastewater and the population density in the catchment area (anthropogenic components of pollution), sediment load (a natural component of pollution). Such natural settings of the catchment as the lake percentage, woodiness and the role of topography in self-purification of rivers have been used to calculate the SPC. The quality of river waters, entering the sea, is the result of the ratio of the proposed integrated indicators. On the basis of the quantitative ratios of PP and SPC, the zoning of the catchment area according to the degree of the negative impact of river waters on water quality in the White Sea has been performed. The resulting zoning scheme is demonstrated as a holistic picture, representing a complex of natural-economic factors on the river catchments of the White Sea basin. It has been revealed that river runoff from a considerable part of the catchment area has not a significant negative impact on the water quality on the White Sea. The greatest pollution effect on the waters of the White Sea has the Northern Dvina River and the Niva River. The obtained data are well correlated with the data of hydrochemical observations in the bays of the White Sea. The objectivity of integrated assessment has been provided by the base on a large number of field data and the exception of the indicators that have not quantitative expression. The obtained results can be used to develop scientifically valid environmental programmes and to plan industrial development in the catchment area.
format Article in Journal/Newspaper
author Bulavina A. S.
author_facet Bulavina A. S.
author_sort Bulavina A. S.
title Zoning of the White Sea catchment area by the degree of continental runoff influence on the marine environment
title_short Zoning of the White Sea catchment area by the degree of continental runoff influence on the marine environment
title_full Zoning of the White Sea catchment area by the degree of continental runoff influence on the marine environment
title_fullStr Zoning of the White Sea catchment area by the degree of continental runoff influence on the marine environment
title_full_unstemmed Zoning of the White Sea catchment area by the degree of continental runoff influence on the marine environment
title_sort zoning of the white sea catchment area by the degree of continental runoff influence on the marine environment
publisher Murmansk State Technical University
publishDate 2018
url https://doi.org/10.21443/1560-9278-2018-21-1-117-127
https://doaj.org/article/ef154e203c4e442f9c5e04bfc1ec21b9
long_lat ENVELOPE(23.913,23.913,66.136,66.136)
geographic Niva
White Sea
geographic_facet Niva
White Sea
genre dvina
White Sea
genre_facet dvina
White Sea
op_source Vestnik MGTU, Vol 21, Iss 1, Pp 117-127 (2018)
op_relation http://vestnik.mstu.edu.ru/show-eng.shtml?art=1934&pdf=1
https://doaj.org/toc/1560-9278
https://doaj.org/toc/1997-4736
doi:10.21443/1560-9278-2018-21-1-117-127
1560-9278
1997-4736
https://doaj.org/article/ef154e203c4e442f9c5e04bfc1ec21b9
op_doi https://doi.org/10.21443/1560-9278-2018-21-1-117-127
container_title Vestnik MGTU
container_volume 21
container_issue 1
container_start_page 117
op_container_end_page 127
_version_ 1766398639758901248