Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
We investigated the influence of biomass burning (BURN), Diwali fireworks, and fog events on the ambient fine particulate matter (PM) oxidative potential (OP) during the postmonsoon (PMON) and winter season in Delhi, India. The real-time hourly averaged OP (based on a dithiothreitol assay) and PM chemical composition were measured intermittently from October 2019 to January 2020. The peak extrinsic OP (OP: normalized by the volume of air) was observed during the winter fog (WFOG) (5.23 ± 4.6 nmol·min·m), whereas the intrinsic OP (OP; normalized by the PM mass) was the highest during the Diwali firework-influenced period (29.4 ± 18.48 pmol·min·μg). Source apportionment analysis using positive matrix factorization revealed that traffic + resuspended dust-related emissions (39%) and secondary sulfate + oxidized organic aerosols (38%) were driving the OP during the PMON period, whereas BURN aerosols dominated (37%) the OP during the WFOG period. Firework-related emissions became a significant contributor (∼32%) to the OP during the Diwali period (4 day period from October 26 to 29), and its contribution peaked (72%) on the night of Diwali. Discerning the influence of seasonal and episodic sources on health-relevant properties of PM, such as OP, could help better understand the causal relationships between PM and health effects in India.
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Source |
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http://dx.doi.org/10.1021/acs.est.2c02730 | DOI Listing |
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