Spatio-temporal variations of air pollutants and human health exposure impacts during 2023 haze through respiratory deposition analysis in Delhi-NCR, India
{"title":"Spatio-temporal variations of air pollutants and human health exposure impacts during 2023 haze through respiratory deposition analysis in Delhi-NCR, India","authors":"Mudit Yadav , Sailesh N. Behera , Raghu Betha","doi":"10.1016/j.hazadv.2024.100575","DOIUrl":null,"url":null,"abstract":"<div><div>This study investigated the impacts of the 2023 haze episode on air quality and respiratory health in the Delhi-National Capital Region (Delhi-NCR), India. Monitoring data for PM<sub>2.5</sub>, PM<sub>10</sub>, NO<sub>2</sub>, NH<sub>3</sub>, SO<sub>2</sub>, O<sub>3</sub>, and CO were collected at four representative sites (Delhi, Gurugram, Greater Noida, and Ghaziabad) and analyzed for spatiotemporal variations. Fire hotspot analysis, meteorological data, and backward trajectory analysis modeling revealed the elevated pollution levels during the haze episode were attributable to increased local emissions coupled with the transport of pollutants from biomass burning in neighboring states. To assess health risks, the International Commission on Radiological Protection (ICRP) modeling was used to estimate respiratory deposition dose (RDD) of PM<sub>2.5</sub> and PM<sub>10</sub> in the head airway (HA), tracheobronchial (TB), and alveolar (AL) regions for both males and females under three modes of metabolic activities of seated, walking and exercise. The results indicated a substantial increase in the total RDD (sum of HA, TB, and AL regions) across all sites, genders, and activity levels. For instance, PM<sub>2.5</sub> RDD in Delhi increased from 1.03 to 2.44 µg/min during the haze period for males under seated activity and from 0.72 to 1.69 µg/min for females. Overall, the study estimated a 130 % increase in health risk during the haze period across all activity levels and genders.</div></div>","PeriodicalId":73763,"journal":{"name":"Journal of hazardous materials advances","volume":"17 ","pages":"Article 100575"},"PeriodicalIF":5.4000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of hazardous materials advances","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S277241662400175X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
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Abstract
This study investigated the impacts of the 2023 haze episode on air quality and respiratory health in the Delhi-National Capital Region (Delhi-NCR), India. Monitoring data for PM2.5, PM10, NO2, NH3, SO2, O3, and CO were collected at four representative sites (Delhi, Gurugram, Greater Noida, and Ghaziabad) and analyzed for spatiotemporal variations. Fire hotspot analysis, meteorological data, and backward trajectory analysis modeling revealed the elevated pollution levels during the haze episode were attributable to increased local emissions coupled with the transport of pollutants from biomass burning in neighboring states. To assess health risks, the International Commission on Radiological Protection (ICRP) modeling was used to estimate respiratory deposition dose (RDD) of PM2.5 and PM10 in the head airway (HA), tracheobronchial (TB), and alveolar (AL) regions for both males and females under three modes of metabolic activities of seated, walking and exercise. The results indicated a substantial increase in the total RDD (sum of HA, TB, and AL regions) across all sites, genders, and activity levels. For instance, PM2.5 RDD in Delhi increased from 1.03 to 2.44 µg/min during the haze period for males under seated activity and from 0.72 to 1.69 µg/min for females. Overall, the study estimated a 130 % increase in health risk during the haze period across all activity levels and genders.