Loading…

Spatiotemporal Patterns of Air Pollution in an Industrialised City—A Case Study of Ust-Kamenogorsk, Kazakhstan

Air quality issues still affect the quality of life for people in industrialised cities around the world. The investigations should include the identification of the sources of the pollution and its distribution in space and time. This work is the first attempt to perform identification of the sourc...

Full description

Saved in:
Bibliographic Details
Published in:Atmosphere 2022-12, Vol.13 (12), p.1956
Main Authors: Assanov, Daulet, Radelyuk, Ivan, Perederiy, Olessya, Galkin, Stanislav, Maratova, Gulira, Zapasnyi, Valeriy, Klemeš, Jiří Jaromír
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c365t-a10c987109f17832748c5ec7cb3f89c251ece1263aa76819e68b201a7e7a77c83
container_end_page
container_issue 12
container_start_page 1956
container_title Atmosphere
container_volume 13
creator Assanov, Daulet
Radelyuk, Ivan
Perederiy, Olessya
Galkin, Stanislav
Maratova, Gulira
Zapasnyi, Valeriy
Klemeš, Jiří Jaromír
description Air quality issues still affect the quality of life for people in industrialised cities around the world. The investigations should include the identification of the sources of the pollution and its distribution in space and time. This work is the first attempt to perform identification of the sources of pollution in Ust-Kamenogorsk city in Kazakhstan. Analysis of retrospective data (including ten variables (TSP, SO2, CO, NO2, phenol, HF, HCl, H2SO4, formaldehyde, H2S) from five monitoring stations for the period 2017–2021) using multivariate statistical methods and hierarchical cluster analysis has been performed to assess spatiotemporal patterns of air quality of the city. The results indicate that the contamination patterns can be grouped into two categories: cold and warm seasons. The study revealed the dangerous concentrations of NO2 and SO2 exceeded the limits by 2–3 and 1.5–2 times, independently of the seasonality. Averaged concentrations of TSP slightly exceeded the established limits for the most industrialised part of the city. Concentrations of HF and formaldehyde significantly rose during the cold seasons compared to the warm seasons. Other chemical parameters significantly depend on the seasonality and locations of the sampling points. The major reason for air pollution is twofold—the use of a burnt-coal throughout the year for electricity and heat generation (especially during the cold seasons) and the high density of the heavy metallurgy industry in the city. The principal component analysis confirms a high loading of industrial sources of air pollution on both spatial and seasonal dimensions.
doi_str_mv 10.3390/atmos13121956
format article
fullrecord <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_ca9e31bc789a4c92861432b1ade6d77b</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A745222279</galeid><doaj_id>oai_doaj_org_article_ca9e31bc789a4c92861432b1ade6d77b</doaj_id><sourcerecordid>A745222279</sourcerecordid><originalsourceid>FETCH-LOGICAL-c365t-a10c987109f17832748c5ec7cb3f89c251ece1263aa76819e68b201a7e7a77c83</originalsourceid><addsrcrecordid>eNpVUctq3EAQFCGBGMfH3AdyjWzNQ_M4Lkseiw0xOD6L1qi1mbU0o8yMDutTPiJfmC_xOBtCUn3opqgqGqqq3tLmknPTXEGeQ6KcMmpa-aI6Y43itRCcv_znfl1dpHRoCoThjIuzarlbILuQcV5ChIncQs4YfSJhJBsXyW2YprUIPHGegCc7P6wpRweTSziQrcvHXz9-bsgWEpK7vA7HZ-d9yvU1zOjDPsT08J5cwyM8fEsZ_Jvq1QhTwos_-7y6__jh6_ZzffPl0267uaktl22ugTbWaEUbM1KlOVNC2xatsj0ftbGspWiRMskBlNTUoNQ9aygoVKCU1fy82p1yhwCHboluhnjsArjuNxHivoOYnZ2ws2CQ094qbUBYw7SkgrOewoByUKovWe9OWUsM31dMuTuENfryfsdUK6UULW2L6vKk2kMJdX4MOYItM-DsbPA4usJvlGhZgTLFUJ8MNoaUIo5_36RN91xq91-p_AnZ3pWs</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2756664515</pqid></control><display><type>article</type><title>Spatiotemporal Patterns of Air Pollution in an Industrialised City—A Case Study of Ust-Kamenogorsk, Kazakhstan</title><source>Publicly Available Content (ProQuest)</source><source>Coronavirus Research Database</source><creator>Assanov, Daulet ; Radelyuk, Ivan ; Perederiy, Olessya ; Galkin, Stanislav ; Maratova, Gulira ; Zapasnyi, Valeriy ; Klemeš, Jiří Jaromír</creator><creatorcontrib>Assanov, Daulet ; Radelyuk, Ivan ; Perederiy, Olessya ; Galkin, Stanislav ; Maratova, Gulira ; Zapasnyi, Valeriy ; Klemeš, Jiří Jaromír</creatorcontrib><description>Air quality issues still affect the quality of life for people in industrialised cities around the world. The investigations should include the identification of the sources of the pollution and its distribution in space and time. This work is the first attempt to perform identification of the sources of pollution in Ust-Kamenogorsk city in Kazakhstan. Analysis of retrospective data (including ten variables (TSP, SO2, CO, NO2, phenol, HF, HCl, H2SO4, formaldehyde, H2S) from five monitoring stations for the period 2017–2021) using multivariate statistical methods and hierarchical cluster analysis has been performed to assess spatiotemporal patterns of air quality of the city. The results indicate that the contamination patterns can be grouped into two categories: cold and warm seasons. The study revealed the dangerous concentrations of NO2 and SO2 exceeded the limits by 2–3 and 1.5–2 times, independently of the seasonality. Averaged concentrations of TSP slightly exceeded the established limits for the most industrialised part of the city. Concentrations of HF and formaldehyde significantly rose during the cold seasons compared to the warm seasons. Other chemical parameters significantly depend on the seasonality and locations of the sampling points. The major reason for air pollution is twofold—the use of a burnt-coal throughout the year for electricity and heat generation (especially during the cold seasons) and the high density of the heavy metallurgy industry in the city. The principal component analysis confirms a high loading of industrial sources of air pollution on both spatial and seasonal dimensions.</description><identifier>ISSN: 2073-4433</identifier><identifier>EISSN: 2073-4433</identifier><identifier>DOI: 10.3390/atmos13121956</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Air pollution ; Air quality ; Analysis ; Apportionment ; Cities ; Cluster analysis ; Coal ; Cold season ; Contamination ; Datasets ; Developing countries ; Dimensions ; Environmental aspects ; Environmental impact ; Environmental monitoring ; Environmental regulations ; Formaldehyde ; Heat generation ; Heavy metals ; Hydrogen sulfide ; Identification ; industrial emissions ; Industrial plant emissions ; Industrial pollution ; Investigations ; LDCs ; Metallurgy ; Monitoring systems ; Nitrogen dioxide ; Outdoor air quality ; Phenols ; Pollutants ; Pollution sources ; Power plants ; principal component analysis ; Principal components analysis ; Quality of life ; Seasonal variations ; Seasonality ; Seasons ; Statistical methods ; Sulfur dioxide ; Sulfuric acid ; Sulphuric acid ; Warm seasons</subject><ispartof>Atmosphere, 2022-12, Vol.13 (12), p.1956</ispartof><rights>COPYRIGHT 2022 MDPI AG</rights><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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-c365t-a10c987109f17832748c5ec7cb3f89c251ece1263aa76819e68b201a7e7a77c83</cites><orcidid>0000-0002-6067-3034 ; 0000-0002-1652-4074 ; 0000-0002-7450-7029</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2756664515/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2756664515?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,25731,27901,27902,36989,38493,43871,44566,74155,74869</link.rule.ids></links><search><creatorcontrib>Assanov, Daulet</creatorcontrib><creatorcontrib>Radelyuk, Ivan</creatorcontrib><creatorcontrib>Perederiy, Olessya</creatorcontrib><creatorcontrib>Galkin, Stanislav</creatorcontrib><creatorcontrib>Maratova, Gulira</creatorcontrib><creatorcontrib>Zapasnyi, Valeriy</creatorcontrib><creatorcontrib>Klemeš, Jiří Jaromír</creatorcontrib><title>Spatiotemporal Patterns of Air Pollution in an Industrialised City—A Case Study of Ust-Kamenogorsk, Kazakhstan</title><title>Atmosphere</title><description>Air quality issues still affect the quality of life for people in industrialised cities around the world. The investigations should include the identification of the sources of the pollution and its distribution in space and time. This work is the first attempt to perform identification of the sources of pollution in Ust-Kamenogorsk city in Kazakhstan. Analysis of retrospective data (including ten variables (TSP, SO2, CO, NO2, phenol, HF, HCl, H2SO4, formaldehyde, H2S) from five monitoring stations for the period 2017–2021) using multivariate statistical methods and hierarchical cluster analysis has been performed to assess spatiotemporal patterns of air quality of the city. The results indicate that the contamination patterns can be grouped into two categories: cold and warm seasons. The study revealed the dangerous concentrations of NO2 and SO2 exceeded the limits by 2–3 and 1.5–2 times, independently of the seasonality. Averaged concentrations of TSP slightly exceeded the established limits for the most industrialised part of the city. Concentrations of HF and formaldehyde significantly rose during the cold seasons compared to the warm seasons. Other chemical parameters significantly depend on the seasonality and locations of the sampling points. The major reason for air pollution is twofold—the use of a burnt-coal throughout the year for electricity and heat generation (especially during the cold seasons) and the high density of the heavy metallurgy industry in the city. The principal component analysis confirms a high loading of industrial sources of air pollution on both spatial and seasonal dimensions.</description><subject>Air pollution</subject><subject>Air quality</subject><subject>Analysis</subject><subject>Apportionment</subject><subject>Cities</subject><subject>Cluster analysis</subject><subject>Coal</subject><subject>Cold season</subject><subject>Contamination</subject><subject>Datasets</subject><subject>Developing countries</subject><subject>Dimensions</subject><subject>Environmental aspects</subject><subject>Environmental impact</subject><subject>Environmental monitoring</subject><subject>Environmental regulations</subject><subject>Formaldehyde</subject><subject>Heat generation</subject><subject>Heavy metals</subject><subject>Hydrogen sulfide</subject><subject>Identification</subject><subject>industrial emissions</subject><subject>Industrial plant emissions</subject><subject>Industrial pollution</subject><subject>Investigations</subject><subject>LDCs</subject><subject>Metallurgy</subject><subject>Monitoring systems</subject><subject>Nitrogen dioxide</subject><subject>Outdoor air quality</subject><subject>Phenols</subject><subject>Pollutants</subject><subject>Pollution sources</subject><subject>Power plants</subject><subject>principal component analysis</subject><subject>Principal components analysis</subject><subject>Quality of life</subject><subject>Seasonal variations</subject><subject>Seasonality</subject><subject>Seasons</subject><subject>Statistical methods</subject><subject>Sulfur dioxide</subject><subject>Sulfuric acid</subject><subject>Sulphuric acid</subject><subject>Warm seasons</subject><issn>2073-4433</issn><issn>2073-4433</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>COVID</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpVUctq3EAQFCGBGMfH3AdyjWzNQ_M4Lkseiw0xOD6L1qi1mbU0o8yMDutTPiJfmC_xOBtCUn3opqgqGqqq3tLmknPTXEGeQ6KcMmpa-aI6Y43itRCcv_znfl1dpHRoCoThjIuzarlbILuQcV5ChIncQs4YfSJhJBsXyW2YprUIPHGegCc7P6wpRweTSziQrcvHXz9-bsgWEpK7vA7HZ-d9yvU1zOjDPsT08J5cwyM8fEsZ_Jvq1QhTwos_-7y6__jh6_ZzffPl0267uaktl22ugTbWaEUbM1KlOVNC2xatsj0ftbGspWiRMskBlNTUoNQ9aygoVKCU1fy82p1yhwCHboluhnjsArjuNxHivoOYnZ2ws2CQ094qbUBYw7SkgrOewoByUKovWe9OWUsM31dMuTuENfryfsdUK6UULW2L6vKk2kMJdX4MOYItM-DsbPA4usJvlGhZgTLFUJ8MNoaUIo5_36RN91xq91-p_AnZ3pWs</recordid><startdate>20221201</startdate><enddate>20221201</enddate><creator>Assanov, Daulet</creator><creator>Radelyuk, Ivan</creator><creator>Perederiy, Olessya</creator><creator>Galkin, Stanislav</creator><creator>Maratova, Gulira</creator><creator>Zapasnyi, Valeriy</creator><creator>Klemeš, Jiří Jaromír</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7ST</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>F1W</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>SOI</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-6067-3034</orcidid><orcidid>https://orcid.org/0000-0002-1652-4074</orcidid><orcidid>https://orcid.org/0000-0002-7450-7029</orcidid></search><sort><creationdate>20221201</creationdate><title>Spatiotemporal Patterns of Air Pollution in an Industrialised City—A Case Study of Ust-Kamenogorsk, Kazakhstan</title><author>Assanov, Daulet ; Radelyuk, Ivan ; Perederiy, Olessya ; Galkin, Stanislav ; Maratova, Gulira ; Zapasnyi, Valeriy ; Klemeš, Jiří Jaromír</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c365t-a10c987109f17832748c5ec7cb3f89c251ece1263aa76819e68b201a7e7a77c83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Air pollution</topic><topic>Air quality</topic><topic>Analysis</topic><topic>Apportionment</topic><topic>Cities</topic><topic>Cluster analysis</topic><topic>Coal</topic><topic>Cold season</topic><topic>Contamination</topic><topic>Datasets</topic><topic>Developing countries</topic><topic>Dimensions</topic><topic>Environmental aspects</topic><topic>Environmental impact</topic><topic>Environmental monitoring</topic><topic>Environmental regulations</topic><topic>Formaldehyde</topic><topic>Heat generation</topic><topic>Heavy metals</topic><topic>Hydrogen sulfide</topic><topic>Identification</topic><topic>industrial emissions</topic><topic>Industrial plant emissions</topic><topic>Industrial pollution</topic><topic>Investigations</topic><topic>LDCs</topic><topic>Metallurgy</topic><topic>Monitoring systems</topic><topic>Nitrogen dioxide</topic><topic>Outdoor air quality</topic><topic>Phenols</topic><topic>Pollutants</topic><topic>Pollution sources</topic><topic>Power plants</topic><topic>principal component analysis</topic><topic>Principal components analysis</topic><topic>Quality of life</topic><topic>Seasonal variations</topic><topic>Seasonality</topic><topic>Seasons</topic><topic>Statistical methods</topic><topic>Sulfur dioxide</topic><topic>Sulfuric acid</topic><topic>Sulphuric acid</topic><topic>Warm seasons</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Assanov, Daulet</creatorcontrib><creatorcontrib>Radelyuk, Ivan</creatorcontrib><creatorcontrib>Perederiy, Olessya</creatorcontrib><creatorcontrib>Galkin, Stanislav</creatorcontrib><creatorcontrib>Maratova, Gulira</creatorcontrib><creatorcontrib>Zapasnyi, Valeriy</creatorcontrib><creatorcontrib>Klemeš, Jiří Jaromír</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Environment Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric &amp; Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Earth, Atmospheric &amp; Aquatic Science Database</collection><collection>Publicly Available Content (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environment Abstracts</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Atmosphere</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Assanov, Daulet</au><au>Radelyuk, Ivan</au><au>Perederiy, Olessya</au><au>Galkin, Stanislav</au><au>Maratova, Gulira</au><au>Zapasnyi, Valeriy</au><au>Klemeš, Jiří Jaromír</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatiotemporal Patterns of Air Pollution in an Industrialised City—A Case Study of Ust-Kamenogorsk, Kazakhstan</atitle><jtitle>Atmosphere</jtitle><date>2022-12-01</date><risdate>2022</risdate><volume>13</volume><issue>12</issue><spage>1956</spage><pages>1956-</pages><issn>2073-4433</issn><eissn>2073-4433</eissn><abstract>Air quality issues still affect the quality of life for people in industrialised cities around the world. The investigations should include the identification of the sources of the pollution and its distribution in space and time. This work is the first attempt to perform identification of the sources of pollution in Ust-Kamenogorsk city in Kazakhstan. Analysis of retrospective data (including ten variables (TSP, SO2, CO, NO2, phenol, HF, HCl, H2SO4, formaldehyde, H2S) from five monitoring stations for the period 2017–2021) using multivariate statistical methods and hierarchical cluster analysis has been performed to assess spatiotemporal patterns of air quality of the city. The results indicate that the contamination patterns can be grouped into two categories: cold and warm seasons. The study revealed the dangerous concentrations of NO2 and SO2 exceeded the limits by 2–3 and 1.5–2 times, independently of the seasonality. Averaged concentrations of TSP slightly exceeded the established limits for the most industrialised part of the city. Concentrations of HF and formaldehyde significantly rose during the cold seasons compared to the warm seasons. Other chemical parameters significantly depend on the seasonality and locations of the sampling points. The major reason for air pollution is twofold—the use of a burnt-coal throughout the year for electricity and heat generation (especially during the cold seasons) and the high density of the heavy metallurgy industry in the city. The principal component analysis confirms a high loading of industrial sources of air pollution on both spatial and seasonal dimensions.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/atmos13121956</doi><orcidid>https://orcid.org/0000-0002-6067-3034</orcidid><orcidid>https://orcid.org/0000-0002-1652-4074</orcidid><orcidid>https://orcid.org/0000-0002-7450-7029</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2073-4433
ispartof Atmosphere, 2022-12, Vol.13 (12), p.1956
issn 2073-4433
2073-4433
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_ca9e31bc789a4c92861432b1ade6d77b
source Publicly Available Content (ProQuest); Coronavirus Research Database
subjects Air pollution
Air quality
Analysis
Apportionment
Cities
Cluster analysis
Coal
Cold season
Contamination
Datasets
Developing countries
Dimensions
Environmental aspects
Environmental impact
Environmental monitoring
Environmental regulations
Formaldehyde
Heat generation
Heavy metals
Hydrogen sulfide
Identification
industrial emissions
Industrial plant emissions
Industrial pollution
Investigations
LDCs
Metallurgy
Monitoring systems
Nitrogen dioxide
Outdoor air quality
Phenols
Pollutants
Pollution sources
Power plants
principal component analysis
Principal components analysis
Quality of life
Seasonal variations
Seasonality
Seasons
Statistical methods
Sulfur dioxide
Sulfuric acid
Sulphuric acid
Warm seasons
title Spatiotemporal Patterns of Air Pollution in an Industrialised City—A Case Study of Ust-Kamenogorsk, Kazakhstan
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-31T04%3A53%3A56IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Spatiotemporal%20Patterns%20of%20Air%20Pollution%20in%20an%20Industrialised%20City%E2%80%94A%20Case%20Study%20of%20Ust-Kamenogorsk,%20Kazakhstan&rft.jtitle=Atmosphere&rft.au=Assanov,%20Daulet&rft.date=2022-12-01&rft.volume=13&rft.issue=12&rft.spage=1956&rft.pages=1956-&rft.issn=2073-4433&rft.eissn=2073-4433&rft_id=info:doi/10.3390/atmos13121956&rft_dat=%3Cgale_doaj_%3EA745222279%3C/gale_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c365t-a10c987109f17832748c5ec7cb3f89c251ece1263aa76819e68b201a7e7a77c83%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2756664515&rft_id=info:pmid/&rft_galeid=A745222279&rfr_iscdi=true