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Determining hotspots of gaseous criteria air pollutants in Delhi airshed and its association with stubble burning
Transboundary pollutant transport is considered as one of the primary factors causing the seasonal air quality deterioration in Delhi, India’s capital. The highest standard deviations exceeding days in winter for NO 2 (7.14–9.63%) and SO 2 (4.04–7.42%) in 2019–2022 underscore the role of meteorologi...
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| Published in: | Scientific reports 2024-01, Vol.14 (1), p.986-986, Article 986 |
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| description | Transboundary pollutant transport is considered as one of the primary factors causing the seasonal air quality deterioration in Delhi, India’s capital. The highest standard deviations exceeding days in winter for NO
2
(7.14–9.63%) and SO
2
(4.04–7.42%) in 2019–2022 underscore the role of meteorological conditions in Delhi's pollution. In contrast, the post-monsoon season shows the highest pollutant exceedance days (4.52–8.00%) for CO due to stubble burning (SB) in Punjab (68,902 fires/year). Despite the government’s assertions of decreasing SB events (14.68%), the city’s CO exceedance days persistently rose by 6.36%. CAMS data is used for assessing contribution hotspots through back-trajectory analysis at multiple heights. An overlap hotspot of 111 sq. km area is identified in the Southeast parts of Punjab that have a higher contribution to the CO levels in Delhi during the post-monsoon season of 2019. Similarly, hotspots are also observed for SO
2
over industrial areas of Punjab during the post-monsoon and pre-monsoon seasons. The same seasons show similar contributing patterns for NO
2
highlighting the influence of consistent emission patterns and meteorological conditions. The clear delineation of hotspots using the receptor model at multiple heights coupled with source apportionment studies will assist decision-makers in addressing the pollution sources outside Delhi. |
| doi_str_mv | 10.1038/s41598-023-51140-x |
| format | article |
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2
(7.14–9.63%) and SO
2
(4.04–7.42%) in 2019–2022 underscore the role of meteorological conditions in Delhi's pollution. In contrast, the post-monsoon season shows the highest pollutant exceedance days (4.52–8.00%) for CO due to stubble burning (SB) in Punjab (68,902 fires/year). Despite the government’s assertions of decreasing SB events (14.68%), the city’s CO exceedance days persistently rose by 6.36%. CAMS data is used for assessing contribution hotspots through back-trajectory analysis at multiple heights. An overlap hotspot of 111 sq. km area is identified in the Southeast parts of Punjab that have a higher contribution to the CO levels in Delhi during the post-monsoon season of 2019. Similarly, hotspots are also observed for SO
2
over industrial areas of Punjab during the post-monsoon and pre-monsoon seasons. The same seasons show similar contributing patterns for NO
2
highlighting the influence of consistent emission patterns and meteorological conditions. The clear delineation of hotspots using the receptor model at multiple heights coupled with source apportionment studies will assist decision-makers in addressing the pollution sources outside Delhi.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-023-51140-x</identifier><identifier>PMID: 38200112</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>704/106 ; 704/172 ; 704/4111 ; Air pollution ; Air quality ; Burning ; Hot spots ; Humanities and Social Sciences ; Industrial areas ; Monsoons ; multidisciplinary ; Nitrogen dioxide ; Pollutants ; Pollution dispersion ; Pollution sources ; Science ; Science (multidisciplinary) ; Seasons ; Sulfur dioxide ; Transboundary pollution ; Wind</subject><ispartof>Scientific reports, 2024-01, Vol.14 (1), p.986-986, Article 986</ispartof><rights>The Author(s) 2024</rights><rights>2024. The Author(s).</rights><rights>The Author(s) 2024. 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-c541t-3a55259b54aadd486343747b2f8c56f59ff7b5184c219cef0a86d0595d1910c83</citedby><cites>FETCH-LOGICAL-c541t-3a55259b54aadd486343747b2f8c56f59ff7b5184c219cef0a86d0595d1910c83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2912914232/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2912914232?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38200112$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Nirwan, Nirwan</creatorcontrib><creatorcontrib>Siddiqui, Asfa</creatorcontrib><creatorcontrib>Kannemadugu, Hareef baba shaeb</creatorcontrib><creatorcontrib>Chauhan, Prakash</creatorcontrib><creatorcontrib>Singh, R. P.</creatorcontrib><title>Determining hotspots of gaseous criteria air pollutants in Delhi airshed and its association with stubble burning</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>Transboundary pollutant transport is considered as one of the primary factors causing the seasonal air quality deterioration in Delhi, India’s capital. The highest standard deviations exceeding days in winter for NO
2
(7.14–9.63%) and SO
2
(4.04–7.42%) in 2019–2022 underscore the role of meteorological conditions in Delhi's pollution. In contrast, the post-monsoon season shows the highest pollutant exceedance days (4.52–8.00%) for CO due to stubble burning (SB) in Punjab (68,902 fires/year). Despite the government’s assertions of decreasing SB events (14.68%), the city’s CO exceedance days persistently rose by 6.36%. CAMS data is used for assessing contribution hotspots through back-trajectory analysis at multiple heights. An overlap hotspot of 111 sq. km area is identified in the Southeast parts of Punjab that have a higher contribution to the CO levels in Delhi during the post-monsoon season of 2019. Similarly, hotspots are also observed for SO
2
over industrial areas of Punjab during the post-monsoon and pre-monsoon seasons. The same seasons show similar contributing patterns for NO
2
highlighting the influence of consistent emission patterns and meteorological conditions. The clear delineation of hotspots using the receptor model at multiple heights coupled with source apportionment studies will assist decision-makers in addressing the pollution sources outside Delhi.</description><subject>704/106</subject><subject>704/172</subject><subject>704/4111</subject><subject>Air pollution</subject><subject>Air quality</subject><subject>Burning</subject><subject>Hot spots</subject><subject>Humanities and Social Sciences</subject><subject>Industrial areas</subject><subject>Monsoons</subject><subject>multidisciplinary</subject><subject>Nitrogen dioxide</subject><subject>Pollutants</subject><subject>Pollution dispersion</subject><subject>Pollution sources</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><subject>Seasons</subject><subject>Sulfur dioxide</subject><subject>Transboundary pollution</subject><subject>Wind</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp9kk1vFSEUhidGY5vaP-DCkLhxM5XPO8zKmLbaJk3c1DU5w8AMN3PhFhit_75Mp62tCwkEwnnOCxzeqnpP8AnBTH5OnIhW1piyWhDCcX37qjqkmIuaMkpfP1sfVMcpbXFpgractG-rAyYpxoTQw-rmzGQTd847P6Ax5LQvAwWLBkgmzAnp6ArgAIGLaB-mac7gC-I8OjPT6Jb9NJoege-RKwFIKWgH2QWPfrs8opTnrpsM6ua4nPKuemNhSub4YT6qfn47vz69qK9-fL88_XpVa8FJrhkIQUXbCQ7Q91xuGGcNbzpqpRYbK1prm04QyTUlrTYWg9z0WLSiJy3BWrKj6nLV7QNs1T66HcQ_KoBT9xshDgpidnoyisuGW8t63DHBGbMSd1xyptmGNkCAFa0vq9Z-7nam18bnCNML0ZcR70Y1hF-K4KaUmoii8OlBIYab2aSsdi5pM03glzIr2hLGOStvKejHf9BtKKUrtVqo0nn51ULRldIxpBSNfboNwWpxiFodoopD1L1D1G1J-vD8HU8pj34oAFuBVEJ-MPHv2f-RvQO_zceX</recordid><startdate>20240110</startdate><enddate>20240110</enddate><creator>Nirwan, Nirwan</creator><creator>Siddiqui, Asfa</creator><creator>Kannemadugu, Hareef baba shaeb</creator><creator>Chauhan, Prakash</creator><creator>Singh, R. 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P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Determining hotspots of gaseous criteria air pollutants in Delhi airshed and its association with stubble burning</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2024-01-10</date><risdate>2024</risdate><volume>14</volume><issue>1</issue><spage>986</spage><epage>986</epage><pages>986-986</pages><artnum>986</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>Transboundary pollutant transport is considered as one of the primary factors causing the seasonal air quality deterioration in Delhi, India’s capital. The highest standard deviations exceeding days in winter for NO
2
(7.14–9.63%) and SO
2
(4.04–7.42%) in 2019–2022 underscore the role of meteorological conditions in Delhi's pollution. In contrast, the post-monsoon season shows the highest pollutant exceedance days (4.52–8.00%) for CO due to stubble burning (SB) in Punjab (68,902 fires/year). Despite the government’s assertions of decreasing SB events (14.68%), the city’s CO exceedance days persistently rose by 6.36%. CAMS data is used for assessing contribution hotspots through back-trajectory analysis at multiple heights. An overlap hotspot of 111 sq. km area is identified in the Southeast parts of Punjab that have a higher contribution to the CO levels in Delhi during the post-monsoon season of 2019. Similarly, hotspots are also observed for SO
2
over industrial areas of Punjab during the post-monsoon and pre-monsoon seasons. The same seasons show similar contributing patterns for NO
2
highlighting the influence of consistent emission patterns and meteorological conditions. The clear delineation of hotspots using the receptor model at multiple heights coupled with source apportionment studies will assist decision-makers in addressing the pollution sources outside Delhi.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>38200112</pmid><doi>10.1038/s41598-023-51140-x</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | 704/106 704/172 704/4111 Air pollution Air quality Burning Hot spots Humanities and Social Sciences Industrial areas Monsoons multidisciplinary Nitrogen dioxide Pollutants Pollution dispersion Pollution sources Science Science (multidisciplinary) Seasons Sulfur dioxide Transboundary pollution Wind |
| title | Determining hotspots of gaseous criteria air pollutants in Delhi airshed and its association with stubble burning |
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