Assessment of Water Resources Using and Protection Main Parameters in Ural Federal District

Abstract The article contains an analysis of fresh water use in the Ural federal district for 2012-2015 years and waste waters characteristics. The materialsused forthe study included the data on the protection of the environment in Ural Federal district. The carried out analysis has shown that due...

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Published in:IOP Conference Series: Earth and Environmental Science
Main Authors: Sapega, V A, Petukhova, V S
Format: Article in Journal/Newspaper
Language:unknown
Published: IOP Publishing 2019
Subjects:
Online Access:http://dx.doi.org/10.1088/1755-1315/272/2/022191
https://iopscience.iop.org/article/10.1088/1755-1315/272/2/022191/pdf
https://iopscience.iop.org/article/10.1088/1755-1315/272/2/022191
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spelling crioppubl:10.1088/1755-1315/272/2/022191 2024-06-02T08:09:49+00:00 Assessment of Water Resources Using and Protection Main Parameters in Ural Federal District Sapega, V A Petukhova, V S 2019 http://dx.doi.org/10.1088/1755-1315/272/2/022191 https://iopscience.iop.org/article/10.1088/1755-1315/272/2/022191/pdf https://iopscience.iop.org/article/10.1088/1755-1315/272/2/022191 unknown IOP Publishing http://creativecommons.org/licenses/by/3.0/ https://iopscience.iop.org/info/page/text-and-data-mining IOP Conference Series: Earth and Environmental Science volume 272, issue 2, page 022191 ISSN 1755-1307 1755-1315 journal-article 2019 crioppubl https://doi.org/10.1088/1755-1315/272/2/022191 2024-05-07T13:56:41Z Abstract The article contains an analysis of fresh water use in the Ural federal district for 2012-2015 years and waste waters characteristics. The materialsused forthe study included the data on the protection of the environment in Ural Federal district. The carried out analysis has shown that due to the water objects, the largest amount of fresh water is taken in Khanty-Mansisk autonomous district and Sverdlovsk region; the largest amount of used fresh water is in Khanty-Mansisk and Yamalo-Nenets autonomous districts (2022 and 389 mln. m 3 ), and also in Tyumen region (221 mln. m 3 ). In general, in the Ural federal district during 2012-2015 the largest amount of fresh waters is used for the industrial needs (in total - 48.3% of the used water). And among the autonomous districts and regions, Khanty-Mansisk AD and Sverdlovsk region dominate by this index. Maximal volume of the waste waters is noted in Sverdlovsk region (952 mln. m 3 ). In the time course, significant decrease of their volume was revealed only in Sverdlovsk and Chelyabinsk regions.Sverdlovskand Chelyabinsk regions are characterized by the largest volume of the waste waters, requiring treatment on the average for 2012-2015 years (79.4% and 88.9% of waste watersvolume -in total). In general in the Ural federal district in 2012-2015 the volume of circulating and reused water supply systems made up 30472 mln m 3 . In the time course this volume has decreased in the Ural federal district, and also in the regions Article in Journal/Newspaper khanty nenets Yamalo Nenets IOP Publishing IOP Conference Series: Earth and Environmental Science 272 2 022191
institution Open Polar
collection IOP Publishing
op_collection_id crioppubl
language unknown
description Abstract The article contains an analysis of fresh water use in the Ural federal district for 2012-2015 years and waste waters characteristics. The materialsused forthe study included the data on the protection of the environment in Ural Federal district. The carried out analysis has shown that due to the water objects, the largest amount of fresh water is taken in Khanty-Mansisk autonomous district and Sverdlovsk region; the largest amount of used fresh water is in Khanty-Mansisk and Yamalo-Nenets autonomous districts (2022 and 389 mln. m 3 ), and also in Tyumen region (221 mln. m 3 ). In general, in the Ural federal district during 2012-2015 the largest amount of fresh waters is used for the industrial needs (in total - 48.3% of the used water). And among the autonomous districts and regions, Khanty-Mansisk AD and Sverdlovsk region dominate by this index. Maximal volume of the waste waters is noted in Sverdlovsk region (952 mln. m 3 ). In the time course, significant decrease of their volume was revealed only in Sverdlovsk and Chelyabinsk regions.Sverdlovskand Chelyabinsk regions are characterized by the largest volume of the waste waters, requiring treatment on the average for 2012-2015 years (79.4% and 88.9% of waste watersvolume -in total). In general in the Ural federal district in 2012-2015 the volume of circulating and reused water supply systems made up 30472 mln m 3 . In the time course this volume has decreased in the Ural federal district, and also in the regions
format Article in Journal/Newspaper
author Sapega, V A
Petukhova, V S
spellingShingle Sapega, V A
Petukhova, V S
Assessment of Water Resources Using and Protection Main Parameters in Ural Federal District
author_facet Sapega, V A
Petukhova, V S
author_sort Sapega, V A
title Assessment of Water Resources Using and Protection Main Parameters in Ural Federal District
title_short Assessment of Water Resources Using and Protection Main Parameters in Ural Federal District
title_full Assessment of Water Resources Using and Protection Main Parameters in Ural Federal District
title_fullStr Assessment of Water Resources Using and Protection Main Parameters in Ural Federal District
title_full_unstemmed Assessment of Water Resources Using and Protection Main Parameters in Ural Federal District
title_sort assessment of water resources using and protection main parameters in ural federal district
publisher IOP Publishing
publishDate 2019
url http://dx.doi.org/10.1088/1755-1315/272/2/022191
https://iopscience.iop.org/article/10.1088/1755-1315/272/2/022191/pdf
https://iopscience.iop.org/article/10.1088/1755-1315/272/2/022191
genre khanty
nenets
Yamalo Nenets
genre_facet khanty
nenets
Yamalo Nenets
op_source IOP Conference Series: Earth and Environmental Science
volume 272, issue 2, page 022191
ISSN 1755-1307 1755-1315
op_rights http://creativecommons.org/licenses/by/3.0/
https://iopscience.iop.org/info/page/text-and-data-mining
op_doi https://doi.org/10.1088/1755-1315/272/2/022191
container_title IOP Conference Series: Earth and Environmental Science
container_volume 272
container_issue 2
container_start_page 022191
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