Surface Ozone and its Precursor Gases Concentrations during COVID-19 Lockdown and Pre-Lockdown Periods in Hyderabad City, India
Drastic measures such as lockdown imposed in the countries worldwide to control the extent of COVID-19 have influenced environmental parameters substantially. The aim of the present study was to investigate the impact of lockdown on the air quality in Hyderabad city by comparing the pollutants conce...
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| Veröffentlicht in: | Environmental Processes 2021-06, Vol.8 (2), p.959-972 |
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| creator | Allu, Sarat Kumar Reddy, Aparna Srinivasan, Shailaja Maddala, Rama Krishna Anupoju, Gangagni Rao |
| description | Drastic measures such as lockdown imposed in the countries worldwide to control the extent of
COVID-19
have influenced environmental parameters substantially. The aim of the present study was to investigate the impact of lockdown on the air quality in Hyderabad city by comparing the pollutants concentration during lockdown and pre-lockdown periods. A comparative study was also made on the pollutant concentrations observed during the pre-lockdown (1st February – 23rd March 2020) and lockdown period (24th March - 30th April 2020) to those of the pollutants in the previous years (2018 and 2019). The Pearson correlation coefficient was employed to correlate the ozone (O
3
) concentration with other pollutants. Carbon monoxide (CO), nitrogen oxides (NO
X
) and O
3
were monitored along with meteorological parameters like temperature, relative humidity and solar radiation. It was observed that the O
3
concentration increased from 26 ppb (by volume) to 56.4 ppb during pre-lockdown and lockdown period, respectively, due to the decrease in CO and NO
X
concentration. The concentration of NO
2,
NO and CO were also reduced during the lockdown period by 33.7%, 53.8% and 27.25%, respectively. To identify the statistical significance of the parameters, analysis of variance (ANOVA) was used. The present study provides new insights on the ambient air pollution in terms of the aforesaid parameters and could pave the way for regulatory authorities to implement control measures to curb the air pollution.
Highlights
• COVID-19 lockdown improved the air quality by the reduction in air pollutants leading to increased ozone concentration.
• Pearson model was used to correlate the ozone (O
3
) with oxides of nitrogen (NO
X
), CO and other meteorological parameters.
• NO
X
and carbon monoxide (CO) concentrations were reduced by 33.7 % and 27.25 %, respectively, due to COVID lockdown.
Graphical abstract |
| doi_str_mv | 10.1007/s40710-020-00490-z |
| format | Article |
| fullrecord | <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7885755</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A706526187</galeid><sourcerecordid>A706526187</sourcerecordid><originalsourceid>FETCH-LOGICAL-c543t-e5de2513004bb8491c82c7c152a23dbe12ae7eceed25de6aa418c65cc89044263</originalsourceid><addsrcrecordid>eNp9kVFPHCEUhSeNTWqsf8Ankr46CgwMzEsTM626ySZrUvWVMHBni92FFWY0uy_962Uda9MXQwjkcr-TezhFcULwGcFYnCeGBcElpnlj1uBy96E4pKSRpeCYH_y9s4Z8Ko5TesAYU8IwrZrD4vePMfbaAFrsggekvUVuSOgmghljChFd6QQJtcEb8EPUgws-ITtG55eoXdzPvpWkQfNgftnw7F_4zJZvhRuILtiEnEfXWwtRd9qi1g3bUzTz1unPxcderxIcv55Hxd3l99v2upwvrmbtxbw0nFVDCdwC5aTK_rpOZidGUiMM4VTTynZAqAYBBsDS3FlrzYg0NTdGNpgxWldHxddJdzN2a7CTmZXaRLfWcauCdur_F-9-qmV4UkJKLjjPAl9eBWJ4HCEN6iGM0eeZFeWUy6aumMhdZ1PXUq9AOd-HLGbysrB2Jv9w73L9QuCa05rIPUAnwMSQUoT-bSSC1T5dNaWrcrrqJV21y1A1QWmzzwHiv1neof4AnQCpQA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2525896347</pqid></control><display><type>article</type><title>Surface Ozone and its Precursor Gases Concentrations during COVID-19 Lockdown and Pre-Lockdown Periods in Hyderabad City, India</title><source>SpringerLink Journals</source><creator>Allu, Sarat Kumar ; Reddy, Aparna ; Srinivasan, Shailaja ; Maddala, Rama Krishna ; Anupoju, Gangagni Rao</creator><creatorcontrib>Allu, Sarat Kumar ; Reddy, Aparna ; Srinivasan, Shailaja ; Maddala, Rama Krishna ; Anupoju, Gangagni Rao</creatorcontrib><description>Drastic measures such as lockdown imposed in the countries worldwide to control the extent of
COVID-19
have influenced environmental parameters substantially. The aim of the present study was to investigate the impact of lockdown on the air quality in Hyderabad city by comparing the pollutants concentration during lockdown and pre-lockdown periods. A comparative study was also made on the pollutant concentrations observed during the pre-lockdown (1st February – 23rd March 2020) and lockdown period (24th March - 30th April 2020) to those of the pollutants in the previous years (2018 and 2019). The Pearson correlation coefficient was employed to correlate the ozone (O
3
) concentration with other pollutants. Carbon monoxide (CO), nitrogen oxides (NO
X
) and O
3
were monitored along with meteorological parameters like temperature, relative humidity and solar radiation. It was observed that the O
3
concentration increased from 26 ppb (by volume) to 56.4 ppb during pre-lockdown and lockdown period, respectively, due to the decrease in CO and NO
X
concentration. The concentration of NO
2,
NO and CO were also reduced during the lockdown period by 33.7%, 53.8% and 27.25%, respectively. To identify the statistical significance of the parameters, analysis of variance (ANOVA) was used. The present study provides new insights on the ambient air pollution in terms of the aforesaid parameters and could pave the way for regulatory authorities to implement control measures to curb the air pollution.
Highlights
• COVID-19 lockdown improved the air quality by the reduction in air pollutants leading to increased ozone concentration.
• Pearson model was used to correlate the ozone (O
3
) with oxides of nitrogen (NO
X
), CO and other meteorological parameters.
• NO
X
and carbon monoxide (CO) concentrations were reduced by 33.7 % and 27.25 %, respectively, due to COVID lockdown.
Graphical abstract</description><identifier>ISSN: 2198-7491</identifier><identifier>EISSN: 2198-7505</identifier><identifier>DOI: 10.1007/s40710-020-00490-z</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Air pollution ; Air pollution measurements ; Air quality ; Carbon monoxide ; Comparative analysis ; Comparative studies ; Coronaviruses ; Correlation coefficient ; Correlation coefficients ; COVID-19 ; Earth and Environmental Science ; Earth Sciences ; Environmental Management ; Environmental Science and Engineering ; Meteorological parameters ; Nitrogen dioxide ; Nitrogen oxide ; Nitrogen oxides ; Outdoor air quality ; Ozone ; Parameter identification ; Photochemicals ; Pollutants ; Pollution monitoring ; Radiation ; Regulatory agencies ; Relative humidity ; Scientific equipment and supplies industry ; Shelter in place ; Short Communication ; Solar radiation ; Variance analysis ; Waste Management/Waste Technology ; Water Quality/Water Pollution ; Weather</subject><ispartof>Environmental Processes, 2021-06, Vol.8 (2), p.959-972</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG part of Springer Nature 2021</rights><rights>COPYRIGHT 2021 Springer</rights><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG part of Springer Nature 2021.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c543t-e5de2513004bb8491c82c7c152a23dbe12ae7eceed25de6aa418c65cc89044263</citedby><cites>FETCH-LOGICAL-c543t-e5de2513004bb8491c82c7c152a23dbe12ae7eceed25de6aa418c65cc89044263</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s40710-020-00490-z$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s40710-020-00490-z$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Allu, Sarat Kumar</creatorcontrib><creatorcontrib>Reddy, Aparna</creatorcontrib><creatorcontrib>Srinivasan, Shailaja</creatorcontrib><creatorcontrib>Maddala, Rama Krishna</creatorcontrib><creatorcontrib>Anupoju, Gangagni Rao</creatorcontrib><title>Surface Ozone and its Precursor Gases Concentrations during COVID-19 Lockdown and Pre-Lockdown Periods in Hyderabad City, India</title><title>Environmental Processes</title><addtitle>Environ. Process</addtitle><description>Drastic measures such as lockdown imposed in the countries worldwide to control the extent of
COVID-19
have influenced environmental parameters substantially. The aim of the present study was to investigate the impact of lockdown on the air quality in Hyderabad city by comparing the pollutants concentration during lockdown and pre-lockdown periods. A comparative study was also made on the pollutant concentrations observed during the pre-lockdown (1st February – 23rd March 2020) and lockdown period (24th March - 30th April 2020) to those of the pollutants in the previous years (2018 and 2019). The Pearson correlation coefficient was employed to correlate the ozone (O
3
) concentration with other pollutants. Carbon monoxide (CO), nitrogen oxides (NO
X
) and O
3
were monitored along with meteorological parameters like temperature, relative humidity and solar radiation. It was observed that the O
3
concentration increased from 26 ppb (by volume) to 56.4 ppb during pre-lockdown and lockdown period, respectively, due to the decrease in CO and NO
X
concentration. The concentration of NO
2,
NO and CO were also reduced during the lockdown period by 33.7%, 53.8% and 27.25%, respectively. To identify the statistical significance of the parameters, analysis of variance (ANOVA) was used. The present study provides new insights on the ambient air pollution in terms of the aforesaid parameters and could pave the way for regulatory authorities to implement control measures to curb the air pollution.
Highlights
• COVID-19 lockdown improved the air quality by the reduction in air pollutants leading to increased ozone concentration.
• Pearson model was used to correlate the ozone (O
3
) with oxides of nitrogen (NO
X
), CO and other meteorological parameters.
• NO
X
and carbon monoxide (CO) concentrations were reduced by 33.7 % and 27.25 %, respectively, due to COVID lockdown.
Graphical abstract</description><subject>Air pollution</subject><subject>Air pollution measurements</subject><subject>Air quality</subject><subject>Carbon monoxide</subject><subject>Comparative analysis</subject><subject>Comparative studies</subject><subject>Coronaviruses</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>COVID-19</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Environmental Management</subject><subject>Environmental Science and Engineering</subject><subject>Meteorological parameters</subject><subject>Nitrogen dioxide</subject><subject>Nitrogen oxide</subject><subject>Nitrogen oxides</subject><subject>Outdoor air quality</subject><subject>Ozone</subject><subject>Parameter identification</subject><subject>Photochemicals</subject><subject>Pollutants</subject><subject>Pollution monitoring</subject><subject>Radiation</subject><subject>Regulatory agencies</subject><subject>Relative humidity</subject><subject>Scientific equipment and supplies industry</subject><subject>Shelter in place</subject><subject>Short Communication</subject><subject>Solar radiation</subject><subject>Variance analysis</subject><subject>Waste Management/Waste Technology</subject><subject>Water Quality/Water Pollution</subject><subject>Weather</subject><issn>2198-7491</issn><issn>2198-7505</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kVFPHCEUhSeNTWqsf8Ankr46CgwMzEsTM626ySZrUvWVMHBni92FFWY0uy_962Uda9MXQwjkcr-TezhFcULwGcFYnCeGBcElpnlj1uBy96E4pKSRpeCYH_y9s4Z8Ko5TesAYU8IwrZrD4vePMfbaAFrsggekvUVuSOgmghljChFd6QQJtcEb8EPUgws-ITtG55eoXdzPvpWkQfNgftnw7F_4zJZvhRuILtiEnEfXWwtRd9qi1g3bUzTz1unPxcderxIcv55Hxd3l99v2upwvrmbtxbw0nFVDCdwC5aTK_rpOZidGUiMM4VTTynZAqAYBBsDS3FlrzYg0NTdGNpgxWldHxddJdzN2a7CTmZXaRLfWcauCdur_F-9-qmV4UkJKLjjPAl9eBWJ4HCEN6iGM0eeZFeWUy6aumMhdZ1PXUq9AOd-HLGbysrB2Jv9w73L9QuCa05rIPUAnwMSQUoT-bSSC1T5dNaWrcrrqJV21y1A1QWmzzwHiv1neof4AnQCpQA</recordid><startdate>20210601</startdate><enddate>20210601</enddate><creator>Allu, Sarat Kumar</creator><creator>Reddy, Aparna</creator><creator>Srinivasan, Shailaja</creator><creator>Maddala, Rama Krishna</creator><creator>Anupoju, Gangagni Rao</creator><general>Springer International Publishing</general><general>Springer</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>IAO</scope><scope>AEUYN</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>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>5PM</scope></search><sort><creationdate>20210601</creationdate><title>Surface Ozone and its Precursor Gases Concentrations during COVID-19 Lockdown and Pre-Lockdown Periods in Hyderabad City, India</title><author>Allu, Sarat Kumar ; Reddy, Aparna ; Srinivasan, Shailaja ; Maddala, Rama Krishna ; Anupoju, Gangagni Rao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c543t-e5de2513004bb8491c82c7c152a23dbe12ae7eceed25de6aa418c65cc89044263</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Air pollution</topic><topic>Air pollution measurements</topic><topic>Air quality</topic><topic>Carbon monoxide</topic><topic>Comparative analysis</topic><topic>Comparative studies</topic><topic>Coronaviruses</topic><topic>Correlation coefficient</topic><topic>Correlation coefficients</topic><topic>COVID-19</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Environmental Management</topic><topic>Environmental Science and Engineering</topic><topic>Meteorological parameters</topic><topic>Nitrogen dioxide</topic><topic>Nitrogen oxide</topic><topic>Nitrogen oxides</topic><topic>Outdoor air quality</topic><topic>Ozone</topic><topic>Parameter identification</topic><topic>Photochemicals</topic><topic>Pollutants</topic><topic>Pollution monitoring</topic><topic>Radiation</topic><topic>Regulatory agencies</topic><topic>Relative humidity</topic><topic>Scientific equipment and supplies industry</topic><topic>Shelter in place</topic><topic>Short Communication</topic><topic>Solar radiation</topic><topic>Variance analysis</topic><topic>Waste Management/Waste Technology</topic><topic>Water Quality/Water Pollution</topic><topic>Weather</topic><toplevel>online_resources</toplevel><creatorcontrib>Allu, Sarat Kumar</creatorcontrib><creatorcontrib>Reddy, Aparna</creatorcontrib><creatorcontrib>Srinivasan, Shailaja</creatorcontrib><creatorcontrib>Maddala, Rama Krishna</creatorcontrib><creatorcontrib>Anupoju, Gangagni Rao</creatorcontrib><collection>CrossRef</collection><collection>Gale Academic OneFile</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & 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>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Environmental Processes</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Allu, Sarat Kumar</au><au>Reddy, Aparna</au><au>Srinivasan, Shailaja</au><au>Maddala, Rama Krishna</au><au>Anupoju, Gangagni Rao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Surface Ozone and its Precursor Gases Concentrations during COVID-19 Lockdown and Pre-Lockdown Periods in Hyderabad City, India</atitle><jtitle>Environmental Processes</jtitle><stitle>Environ. Process</stitle><date>2021-06-01</date><risdate>2021</risdate><volume>8</volume><issue>2</issue><spage>959</spage><epage>972</epage><pages>959-972</pages><issn>2198-7491</issn><eissn>2198-7505</eissn><abstract>Drastic measures such as lockdown imposed in the countries worldwide to control the extent of
COVID-19
have influenced environmental parameters substantially. The aim of the present study was to investigate the impact of lockdown on the air quality in Hyderabad city by comparing the pollutants concentration during lockdown and pre-lockdown periods. A comparative study was also made on the pollutant concentrations observed during the pre-lockdown (1st February – 23rd March 2020) and lockdown period (24th March - 30th April 2020) to those of the pollutants in the previous years (2018 and 2019). The Pearson correlation coefficient was employed to correlate the ozone (O
3
) concentration with other pollutants. Carbon monoxide (CO), nitrogen oxides (NO
X
) and O
3
were monitored along with meteorological parameters like temperature, relative humidity and solar radiation. It was observed that the O
3
concentration increased from 26 ppb (by volume) to 56.4 ppb during pre-lockdown and lockdown period, respectively, due to the decrease in CO and NO
X
concentration. The concentration of NO
2,
NO and CO were also reduced during the lockdown period by 33.7%, 53.8% and 27.25%, respectively. To identify the statistical significance of the parameters, analysis of variance (ANOVA) was used. The present study provides new insights on the ambient air pollution in terms of the aforesaid parameters and could pave the way for regulatory authorities to implement control measures to curb the air pollution.
Highlights
• COVID-19 lockdown improved the air quality by the reduction in air pollutants leading to increased ozone concentration.
• Pearson model was used to correlate the ozone (O
3
) with oxides of nitrogen (NO
X
), CO and other meteorological parameters.
• NO
X
and carbon monoxide (CO) concentrations were reduced by 33.7 % and 27.25 %, respectively, due to COVID lockdown.
Graphical abstract</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s40710-020-00490-z</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Environmental Processes, 2021-06, Vol.8 (2), p.959-972 |
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| subjects | Air pollution Air pollution measurements Air quality Carbon monoxide Comparative analysis Comparative studies Coronaviruses Correlation coefficient Correlation coefficients COVID-19 Earth and Environmental Science Earth Sciences Environmental Management Environmental Science and Engineering Meteorological parameters Nitrogen dioxide Nitrogen oxide Nitrogen oxides Outdoor air quality Ozone Parameter identification Photochemicals Pollutants Pollution monitoring Radiation Regulatory agencies Relative humidity Scientific equipment and supplies industry Shelter in place Short Communication Solar radiation Variance analysis Waste Management/Waste Technology Water Quality/Water Pollution Weather |
| title | Surface Ozone and its Precursor Gases Concentrations during COVID-19 Lockdown and Pre-Lockdown Periods in Hyderabad City, India |
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