Algorithms for using the database of OMI and OMPS spectrometers for estimating sulfur dioxide emissions

Algorithms for using the database of OMI and OMPS spectrometers for estimating sulfur dioxide emissions

The paper is devoted to investigation of SO2 emissions in atmospheric air using the OMI space monitoring database for the northern territories of the Krasnoyarsk region in Russia. The highest concentration of SO2 emissions was recorded in April 2019 - 41.2 DU, and the smallest in July 2019 - 0.5 DU....

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IOP conference series. Earth and environmental science 2020-08, Vol.548 (5), p.52081
Hauptverfasser: Zuev, D V, Garifullin, V F, Temerbaev, S A, Feoktistov, D S, Zuevskaya, A I
Format: Artikel
Sprache:eng
Schlagworte:
Air pollution
Algorithms
Emissions
Spectrometers
Sulfur
Sulfur dioxide
Territory
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 5
container_start_page 52081
container_title IOP conference series. Earth and environmental science
container_volume 548
creator Zuev, D V
Garifullin, V F
Temerbaev, S A
Feoktistov, D S
Zuevskaya, A I
description The paper is devoted to investigation of SO2 emissions in atmospheric air using the OMI space monitoring database for the northern territories of the Krasnoyarsk region in Russia. The highest concentration of SO2 emissions was recorded in April 2019 - 41.2 DU, and the smallest in July 2019 - 0.5 DU. Actual air pollution in populated areas for the northern territories of the Krasnoyarsk Territory corresponds to a high degree of pollution, except for 2013 and 2014 when it was a moderate degree of pollution.
doi_str_mv 10.1088/1755-1315/548/5/052081
format Article
fullrecord <record><control><sourceid>proquest_iop_j</sourceid><recordid>TN_cdi_proquest_journals_2556184489</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2556184489</sourcerecordid><originalsourceid>FETCH-LOGICAL-c393t-59b7aedd65fce6c8cb1daa67c393723fa22b41f7e7ae8d8a44057f5f9266df5e3</originalsourceid><addsrcrecordid>eNqFkF1LwzAUhoMoOKd_QQLeeFObtM1HL4dMHUwmTK9D2iRbxtbUpAX996ZUJoLg1Qmc532TPABcY3SHEecpZoQkOMckJQVPSYpIhjg-AZPj4vR4RuwcXISwQ4iyIi8nYDPbb5y33fYQoHEe9sE2G9htNVSyk5UMGjoDV88LKBsV58sahlbXnXcH3Wk_hnTo7EF2QzL0e9N7qKz7sEpDfbAhWNeES3Bm5D7oq-85BW8P89f7p2S5elzcz5ZJnZd5l5CyYlIrRYmpNa15XWElJWXDlmW5kVlWFdgwHSmuuCwKRJghpswoVYbofApuxt7Wu_c-PkzsXO-beKXICKGYFwUvI0VHqvYuBK-NaH38gf8UGIlBqhh8icGdiFIFEaPUGLwdg9a1P83z-foXJlplIpr9gf7T_wVfW4eU</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2556184489</pqid></control><display><type>article</type><title>Algorithms for using the database of OMI and OMPS spectrometers for estimating sulfur dioxide emissions</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Institute of Physics Open Access Journal Titles</source><source>IOPscience extra</source><creator>Zuev, D V ; Garifullin, V F ; Temerbaev, S A ; Feoktistov, D S ; Zuevskaya, A I</creator><creatorcontrib>Zuev, D V ; Garifullin, V F ; Temerbaev, S A ; Feoktistov, D S ; Zuevskaya, A I</creatorcontrib><description>The paper is devoted to investigation of SO2 emissions in atmospheric air using the OMI space monitoring database for the northern territories of the Krasnoyarsk region in Russia. The highest concentration of SO2 emissions was recorded in April 2019 - 41.2 DU, and the smallest in July 2019 - 0.5 DU. Actual air pollution in populated areas for the northern territories of the Krasnoyarsk Territory corresponds to a high degree of pollution, except for 2013 and 2014 when it was a moderate degree of pollution.</description><identifier>ISSN: 1755-1307</identifier><identifier>EISSN: 1755-1315</identifier><identifier>DOI: 10.1088/1755-1315/548/5/052081</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Air pollution ; Algorithms ; Emissions ; Spectrometers ; Sulfur ; Sulfur dioxide ; Territory</subject><ispartof>IOP conference series. Earth and environmental science, 2020-08, Vol.548 (5), p.52081</ispartof><rights>Published under licence by IOP Publishing Ltd</rights><rights>2020. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c393t-59b7aedd65fce6c8cb1daa67c393723fa22b41f7e7ae8d8a44057f5f9266df5e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://iopscience.iop.org/article/10.1088/1755-1315/548/5/052081/pdf$$EPDF$$P50$$Giop$$Hfree_for_read</linktopdf><link.rule.ids>315,781,785,27929,27930,38873,38895,53845,53872</link.rule.ids></links><search><creatorcontrib>Zuev, D V</creatorcontrib><creatorcontrib>Garifullin, V F</creatorcontrib><creatorcontrib>Temerbaev, S A</creatorcontrib><creatorcontrib>Feoktistov, D S</creatorcontrib><creatorcontrib>Zuevskaya, A I</creatorcontrib><title>Algorithms for using the database of OMI and OMPS spectrometers for estimating sulfur dioxide emissions</title><title>IOP conference series. Earth and environmental science</title><addtitle>IOP Conf. Ser.: Earth Environ. Sci</addtitle><description>The paper is devoted to investigation of SO2 emissions in atmospheric air using the OMI space monitoring database for the northern territories of the Krasnoyarsk region in Russia. The highest concentration of SO2 emissions was recorded in April 2019 - 41.2 DU, and the smallest in July 2019 - 0.5 DU. Actual air pollution in populated areas for the northern territories of the Krasnoyarsk Territory corresponds to a high degree of pollution, except for 2013 and 2014 when it was a moderate degree of pollution.</description><subject>Air pollution</subject><subject>Algorithms</subject><subject>Emissions</subject><subject>Spectrometers</subject><subject>Sulfur</subject><subject>Sulfur dioxide</subject><subject>Territory</subject><issn>1755-1307</issn><issn>1755-1315</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFkF1LwzAUhoMoOKd_QQLeeFObtM1HL4dMHUwmTK9D2iRbxtbUpAX996ZUJoLg1Qmc532TPABcY3SHEecpZoQkOMckJQVPSYpIhjg-AZPj4vR4RuwcXISwQ4iyIi8nYDPbb5y33fYQoHEe9sE2G9htNVSyk5UMGjoDV88LKBsV58sahlbXnXcH3Wk_hnTo7EF2QzL0e9N7qKz7sEpDfbAhWNeES3Bm5D7oq-85BW8P89f7p2S5elzcz5ZJnZd5l5CyYlIrRYmpNa15XWElJWXDlmW5kVlWFdgwHSmuuCwKRJghpswoVYbofApuxt7Wu_c-PkzsXO-beKXICKGYFwUvI0VHqvYuBK-NaH38gf8UGIlBqhh8icGdiFIFEaPUGLwdg9a1P83z-foXJlplIpr9gf7T_wVfW4eU</recordid><startdate>20200801</startdate><enddate>20200801</enddate><creator>Zuev, D V</creator><creator>Garifullin, V F</creator><creator>Temerbaev, S A</creator><creator>Feoktistov, D S</creator><creator>Zuevskaya, A I</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope></search><sort><creationdate>20200801</creationdate><title>Algorithms for using the database of OMI and OMPS spectrometers for estimating sulfur dioxide emissions</title><author>Zuev, D V ; Garifullin, V F ; Temerbaev, S A ; Feoktistov, D S ; Zuevskaya, A I</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c393t-59b7aedd65fce6c8cb1daa67c393723fa22b41f7e7ae8d8a44057f5f9266df5e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Air pollution</topic><topic>Algorithms</topic><topic>Emissions</topic><topic>Spectrometers</topic><topic>Sulfur</topic><topic>Sulfur dioxide</topic><topic>Territory</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zuev, D V</creatorcontrib><creatorcontrib>Garifullin, V F</creatorcontrib><creatorcontrib>Temerbaev, S A</creatorcontrib><creatorcontrib>Feoktistov, D S</creatorcontrib><creatorcontrib>Zuevskaya, A I</creatorcontrib><collection>Institute of Physics Open Access Journal Titles</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Proquest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Environmental Science Database</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Environmental Science Collection</collection><jtitle>IOP conference series. Earth and environmental science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zuev, D V</au><au>Garifullin, V F</au><au>Temerbaev, S A</au><au>Feoktistov, D S</au><au>Zuevskaya, A I</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Algorithms for using the database of OMI and OMPS spectrometers for estimating sulfur dioxide emissions</atitle><jtitle>IOP conference series. Earth and environmental science</jtitle><addtitle>IOP Conf. Ser.: Earth Environ. Sci</addtitle><date>2020-08-01</date><risdate>2020</risdate><volume>548</volume><issue>5</issue><spage>52081</spage><pages>52081-</pages><issn>1755-1307</issn><eissn>1755-1315</eissn><abstract>The paper is devoted to investigation of SO2 emissions in atmospheric air using the OMI space monitoring database for the northern territories of the Krasnoyarsk region in Russia. The highest concentration of SO2 emissions was recorded in April 2019 - 41.2 DU, and the smallest in July 2019 - 0.5 DU. Actual air pollution in populated areas for the northern territories of the Krasnoyarsk Territory corresponds to a high degree of pollution, except for 2013 and 2014 when it was a moderate degree of pollution.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/1755-1315/548/5/052081</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1755-1307
ispartof IOP conference series. Earth and environmental science, 2020-08, Vol.548 (5), p.52081
issn 1755-1307
1755-1315
language eng
recordid cdi_proquest_journals_2556184489
source Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Institute of Physics Open Access Journal Titles; IOPscience extra
subjects Air pollution
Algorithms
Emissions
Spectrometers
Sulfur
Sulfur dioxide
Territory
title Algorithms for using the database of OMI and OMPS spectrometers for estimating sulfur dioxide emissions
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-14T18%3A32%3A51IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_iop_j&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Algorithms%20for%20using%20the%20database%20of%20OMI%20and%20OMPS%20spectrometers%20for%20estimating%20sulfur%20dioxide%20emissions&rft.jtitle=IOP%20conference%20series.%20Earth%20and%20environmental%20science&rft.au=Zuev,%20D%20V&rft.date=2020-08-01&rft.volume=548&rft.issue=5&rft.spage=52081&rft.pages=52081-&rft.issn=1755-1307&rft.eissn=1755-1315&rft_id=info:doi/10.1088/1755-1315/548/5/052081&rft_dat=%3Cproquest_iop_j%3E2556184489%3C/proquest_iop_j%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2556184489&rft_id=info:pmid/&rfr_iscdi=true