Assessment of the variability of pollutants concentration over the metropolitan area of São Paulo, Brazil, using the wavelet transform
The objective of this work was to investigate the mean and variability of a dataset of pollutant concentrations from measurements taken over the metropolitan area of São Paulo city, Brazil. Wavelet analysis was applied to the time series of pollutant concentrations, revealing the strongest harmonics...
Gespeichert in:
| Veröffentlicht in: | Atmospheric science letters 2016-01, Vol.17 (1), p.87-95 |
|---|---|
| Hauptverfasser: | , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 95 |
|---|---|
| container_issue | 1 |
| container_start_page | 87 |
| container_title | Atmospheric science letters |
| container_volume | 17 |
| creator | Zeri, M. Carvalho, V. S. B. Cunha‐Zeri, G. Oliveira‐Júnior, J. F. Lyra, G. B. Freitas, E. D. |
| description | The objective of this work was to investigate the mean and variability of a dataset of pollutant concentrations from measurements taken over the metropolitan area of São Paulo city, Brazil. Wavelet analysis was applied to the time series of pollutant concentrations, revealing the strongest harmonics influencing the signals. A mode of variability of 4–8 days was significant until the middle of the last decade and is likely associated with the approach and passage of meteorological systems. A dataset representing the number of frontal systems moving across the state helped to explain the interannual variability during wintertime. Years with fewer frontal systems had higher levels of pollutants in several locations. Weather events such as inversions and the passage of frontal systems influence the concentration of pollutants. Public policies on air quality should focus not only on reducing the long‐term exposure of city‐dwellers to the negative effects of pollutants but also account for the possible short‐term effects of the weather on air quality. |
| doi_str_mv | 10.1002/asl.618 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1776642071</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1776642071</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3568-12a6cd223f8471de40059ad9435e5b77662218de5e71e002d389b3f323bef0543</originalsourceid><addsrcrecordid>eNp10ctKAzEUBuBBFKxVfIWAC110ai5zXdbiDQoKVXAXMjNnNJKZ1CTTUl_AB_FRfDEzrQsRXCWE7_8J5wTBMcFjgjE9F1aNE5LtBAMSMxzShDzt_rrvBwfWvmJMSJSkg-BjYi1Y20DrkK6RewG0FEaKQirp1v3TQivVOdE6i0rdlh4a4aRukV6C2QQacEZ7Jr1CwoDoY_OvT43uRaf0CF0Y8S7VCHVWts-byEosQYFDvqu1tTbNYbBXC2Xh6OccBo9Xlw_Tm3B2d307nczCksVJFhIqkrKilNVZlJIKIozjXFR5xGKIizRNEkpJVkEMKQE_jYplecFqRlkBNY4jNgzOtr0Lo986sI430paglGhBd5aTviOiOCWenvyhr7ozrf8dpzRL8zRKcF94ulWl0dYaqPnCyEaYNSeY9wvhfiHcL8TL0VaupIL1f4xP5jPa828_6I3D</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2287974604</pqid></control><display><type>article</type><title>Assessment of the variability of pollutants concentration over the metropolitan area of São Paulo, Brazil, using the wavelet transform</title><source>Wiley Online Library Open Access</source><source>DOAJ Directory of Open Access Journals</source><source>Wiley Online Library Journals Frontfile Complete</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Zeri, M. ; Carvalho, V. S. B. ; Cunha‐Zeri, G. ; Oliveira‐Júnior, J. F. ; Lyra, G. B. ; Freitas, E. D.</creator><creatorcontrib>Zeri, M. ; Carvalho, V. S. B. ; Cunha‐Zeri, G. ; Oliveira‐Júnior, J. F. ; Lyra, G. B. ; Freitas, E. D.</creatorcontrib><description>The objective of this work was to investigate the mean and variability of a dataset of pollutant concentrations from measurements taken over the metropolitan area of São Paulo city, Brazil. Wavelet analysis was applied to the time series of pollutant concentrations, revealing the strongest harmonics influencing the signals. A mode of variability of 4–8 days was significant until the middle of the last decade and is likely associated with the approach and passage of meteorological systems. A dataset representing the number of frontal systems moving across the state helped to explain the interannual variability during wintertime. Years with fewer frontal systems had higher levels of pollutants in several locations. Weather events such as inversions and the passage of frontal systems influence the concentration of pollutants. Public policies on air quality should focus not only on reducing the long‐term exposure of city‐dwellers to the negative effects of pollutants but also account for the possible short‐term effects of the weather on air quality.</description><identifier>ISSN: 1530-261X</identifier><identifier>EISSN: 1530-261X</identifier><identifier>DOI: 10.1002/asl.618</identifier><language>eng</language><publisher>Chichester, UK: John Wiley & Sons, Ltd</publisher><subject>Air pollution ; Air quality ; Annual variations ; Atmospheric boundary layer ; Atmospheric sciences ; Cities ; data analysis ; Datasets ; Decomposition ; Emissions ; Environmental policy ; Ethanol ; industrial activity ; Interannual variability ; Inversions ; meteorological systems ; Metropolitan areas ; Pollutants ; Pollution effects ; Pollution levels ; Public policy ; Time series ; Variability ; Vehicles ; Wavelet analysis ; Wavelet transforms ; Weather ; Weather effects</subject><ispartof>Atmospheric science letters, 2016-01, Vol.17 (1), p.87-95</ispartof><rights>2015 The Authors. published by John Wiley & Sons Ltd on behalf of the Royal Meteorological Society.</rights><rights>2016. This work is published under http://creativecommons.org/licenses/by/4.0/ (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><citedby>FETCH-LOGICAL-c3568-12a6cd223f8471de40059ad9435e5b77662218de5e71e002d389b3f323bef0543</citedby><cites>FETCH-LOGICAL-c3568-12a6cd223f8471de40059ad9435e5b77662218de5e71e002d389b3f323bef0543</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fasl.618$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fasl.618$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,860,1411,11541,27901,27902,45550,45551,46027,46451</link.rule.ids></links><search><creatorcontrib>Zeri, M.</creatorcontrib><creatorcontrib>Carvalho, V. S. B.</creatorcontrib><creatorcontrib>Cunha‐Zeri, G.</creatorcontrib><creatorcontrib>Oliveira‐Júnior, J. F.</creatorcontrib><creatorcontrib>Lyra, G. B.</creatorcontrib><creatorcontrib>Freitas, E. D.</creatorcontrib><title>Assessment of the variability of pollutants concentration over the metropolitan area of São Paulo, Brazil, using the wavelet transform</title><title>Atmospheric science letters</title><description>The objective of this work was to investigate the mean and variability of a dataset of pollutant concentrations from measurements taken over the metropolitan area of São Paulo city, Brazil. Wavelet analysis was applied to the time series of pollutant concentrations, revealing the strongest harmonics influencing the signals. A mode of variability of 4–8 days was significant until the middle of the last decade and is likely associated with the approach and passage of meteorological systems. A dataset representing the number of frontal systems moving across the state helped to explain the interannual variability during wintertime. Years with fewer frontal systems had higher levels of pollutants in several locations. Weather events such as inversions and the passage of frontal systems influence the concentration of pollutants. Public policies on air quality should focus not only on reducing the long‐term exposure of city‐dwellers to the negative effects of pollutants but also account for the possible short‐term effects of the weather on air quality.</description><subject>Air pollution</subject><subject>Air quality</subject><subject>Annual variations</subject><subject>Atmospheric boundary layer</subject><subject>Atmospheric sciences</subject><subject>Cities</subject><subject>data analysis</subject><subject>Datasets</subject><subject>Decomposition</subject><subject>Emissions</subject><subject>Environmental policy</subject><subject>Ethanol</subject><subject>industrial activity</subject><subject>Interannual variability</subject><subject>Inversions</subject><subject>meteorological systems</subject><subject>Metropolitan areas</subject><subject>Pollutants</subject><subject>Pollution effects</subject><subject>Pollution levels</subject><subject>Public policy</subject><subject>Time series</subject><subject>Variability</subject><subject>Vehicles</subject><subject>Wavelet analysis</subject><subject>Wavelet transforms</subject><subject>Weather</subject><subject>Weather effects</subject><issn>1530-261X</issn><issn>1530-261X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>BENPR</sourceid><recordid>eNp10ctKAzEUBuBBFKxVfIWAC110ai5zXdbiDQoKVXAXMjNnNJKZ1CTTUl_AB_FRfDEzrQsRXCWE7_8J5wTBMcFjgjE9F1aNE5LtBAMSMxzShDzt_rrvBwfWvmJMSJSkg-BjYi1Y20DrkK6RewG0FEaKQirp1v3TQivVOdE6i0rdlh4a4aRukV6C2QQacEZ7Jr1CwoDoY_OvT43uRaf0CF0Y8S7VCHVWts-byEosQYFDvqu1tTbNYbBXC2Xh6OccBo9Xlw_Tm3B2d307nczCksVJFhIqkrKilNVZlJIKIozjXFR5xGKIizRNEkpJVkEMKQE_jYplecFqRlkBNY4jNgzOtr0Lo986sI430paglGhBd5aTviOiOCWenvyhr7ozrf8dpzRL8zRKcF94ulWl0dYaqPnCyEaYNSeY9wvhfiHcL8TL0VaupIL1f4xP5jPa828_6I3D</recordid><startdate>201601</startdate><enddate>201601</enddate><creator>Zeri, M.</creator><creator>Carvalho, V. S. B.</creator><creator>Cunha‐Zeri, G.</creator><creator>Oliveira‐Júnior, J. F.</creator><creator>Lyra, G. B.</creator><creator>Freitas, E. D.</creator><general>John Wiley & Sons, Ltd</general><general>John Wiley & Sons, Inc</general><scope>24P</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</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>PRINS</scope><scope>7TV</scope></search><sort><creationdate>201601</creationdate><title>Assessment of the variability of pollutants concentration over the metropolitan area of São Paulo, Brazil, using the wavelet transform</title><author>Zeri, M. ; Carvalho, V. S. B. ; Cunha‐Zeri, G. ; Oliveira‐Júnior, J. F. ; Lyra, G. B. ; Freitas, E. D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3568-12a6cd223f8471de40059ad9435e5b77662218de5e71e002d389b3f323bef0543</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Air pollution</topic><topic>Air quality</topic><topic>Annual variations</topic><topic>Atmospheric boundary layer</topic><topic>Atmospheric sciences</topic><topic>Cities</topic><topic>data analysis</topic><topic>Datasets</topic><topic>Decomposition</topic><topic>Emissions</topic><topic>Environmental policy</topic><topic>Ethanol</topic><topic>industrial activity</topic><topic>Interannual variability</topic><topic>Inversions</topic><topic>meteorological systems</topic><topic>Metropolitan areas</topic><topic>Pollutants</topic><topic>Pollution effects</topic><topic>Pollution levels</topic><topic>Public policy</topic><topic>Time series</topic><topic>Variability</topic><topic>Vehicles</topic><topic>Wavelet analysis</topic><topic>Wavelet transforms</topic><topic>Weather</topic><topic>Weather effects</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zeri, M.</creatorcontrib><creatorcontrib>Carvalho, V. S. B.</creatorcontrib><creatorcontrib>Cunha‐Zeri, G.</creatorcontrib><creatorcontrib>Oliveira‐Júnior, J. F.</creatorcontrib><creatorcontrib>Lyra, G. B.</creatorcontrib><creatorcontrib>Freitas, E. D.</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>Publicly Available Content Database</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>Pollution Abstracts</collection><jtitle>Atmospheric science letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zeri, M.</au><au>Carvalho, V. S. B.</au><au>Cunha‐Zeri, G.</au><au>Oliveira‐Júnior, J. F.</au><au>Lyra, G. B.</au><au>Freitas, E. D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessment of the variability of pollutants concentration over the metropolitan area of São Paulo, Brazil, using the wavelet transform</atitle><jtitle>Atmospheric science letters</jtitle><date>2016-01</date><risdate>2016</risdate><volume>17</volume><issue>1</issue><spage>87</spage><epage>95</epage><pages>87-95</pages><issn>1530-261X</issn><eissn>1530-261X</eissn><abstract>The objective of this work was to investigate the mean and variability of a dataset of pollutant concentrations from measurements taken over the metropolitan area of São Paulo city, Brazil. Wavelet analysis was applied to the time series of pollutant concentrations, revealing the strongest harmonics influencing the signals. A mode of variability of 4–8 days was significant until the middle of the last decade and is likely associated with the approach and passage of meteorological systems. A dataset representing the number of frontal systems moving across the state helped to explain the interannual variability during wintertime. Years with fewer frontal systems had higher levels of pollutants in several locations. Weather events such as inversions and the passage of frontal systems influence the concentration of pollutants. Public policies on air quality should focus not only on reducing the long‐term exposure of city‐dwellers to the negative effects of pollutants but also account for the possible short‐term effects of the weather on air quality.</abstract><cop>Chichester, UK</cop><pub>John Wiley & Sons, Ltd</pub><doi>10.1002/asl.618</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1530-261X |
| ispartof | Atmospheric science letters, 2016-01, Vol.17 (1), p.87-95 |
| issn | 1530-261X 1530-261X |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1776642071 |
| source | Wiley Online Library Open Access; DOAJ Directory of Open Access Journals; Wiley Online Library Journals Frontfile Complete; EZB-FREE-00999 freely available EZB journals |
| subjects | Air pollution Air quality Annual variations Atmospheric boundary layer Atmospheric sciences Cities data analysis Datasets Decomposition Emissions Environmental policy Ethanol industrial activity Interannual variability Inversions meteorological systems Metropolitan areas Pollutants Pollution effects Pollution levels Public policy Time series Variability Vehicles Wavelet analysis Wavelet transforms Weather Weather effects |
| title | Assessment of the variability of pollutants concentration over the metropolitan area of São Paulo, Brazil, using the wavelet transform |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-29T02%3A08%3A56IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Assessment%20of%20the%20variability%20of%20pollutants%20concentration%20over%20the%20metropolitan%20area%20of%20S%C3%A3o%20Paulo,%20Brazil,%20using%20the%20wavelet%20transform&rft.jtitle=Atmospheric%20science%20letters&rft.au=Zeri,%20M.&rft.date=2016-01&rft.volume=17&rft.issue=1&rft.spage=87&rft.epage=95&rft.pages=87-95&rft.issn=1530-261X&rft.eissn=1530-261X&rft_id=info:doi/10.1002/asl.618&rft_dat=%3Cproquest_cross%3E1776642071%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2287974604&rft_id=info:pmid/&rfr_iscdi=true |