<p>Air pollution is a global concern in present decade due to its heavy environmental and health impacts. This study analyses the spatiotemporal distribution of criteria air pollutants (PM<sub>10</sub>, PM<sub>2.5</sub>, NO<sub>2</sub>, SO<sub>2</sub>, CO, and O<sub>3</sub>) in India from 2019 to 2023 at state and city levels. Among the pollutants, PM levels were the highest measured percentage such as PM<sub>10</sub> at 48% and PM<sub>2.5</sub> at 22%. In India, exceedance days for PM<sub>10</sub> and PM<sub>2.5</sub> are 300 and 170&#xa0;days in&#xa0;a year respectively. The percentage of states/ union territories (UTs) that exceeded NAAQS and WHO guidelines is about 55% and 100% (31 States/UTs) for PM<sub>2.5,</sub> and&#xa0;74% and 100% surpassed the PM<sub>10</sub> limit. At a city level, 175 (64%) and 226 (83%) cities exceeded the NAAQS limits for PM<sub>2.5</sub> and PM<sub>10</sub>, while all 272 cities (100%) failed to meet the WHO guidelines. Indo-Gangetic Basin showed elevated AQI levels and fall under the critical pollution category. PCA study shows that PM<sub>2.5</sub>, CO, PM<sub>10,</sub> and NO<sub>2</sub> have a typical mix of pollution sources in India. Seasonal variations revealed that pollutant levels peaked during winter and were lowest in monsoon. The SO<sub>2</sub>/NO<sub>2</sub> ratio shows that the north-eastern states have stationary sources, whereas India's north, central and east regions have mobile sources predominant. The correlation and regression analysis highlight temperature as the most influential factor explaining 43.2% of pollutant variability. The health risk assessments estimate 132890 adult cases attributable to PM<sub>2.5</sub> in India, and ischemic heart disease (69.26%) is predominant during 2019 to 2023. Uttar Pradesh exhibits the highest disease burden. Finally, the study shows that the northeastern states report lower disease incidences and air pollution than the northern, central, and eastern states. These findings emphasize the necessity for region-specific air quality management strategies and this study helps government strengthen policy frameworks and implement evidence-based mitigation measures.</p>

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

India's Air Pollution Burden (2019–2023): Spatial–Temporal Trends, Emissions, Weather Effects, and Adult Health Risks Across State and City

  • Buddhadev Ghosh,
  • Munmun De,
  • Pratap Kumar Padhy

摘要

Air pollution is a global concern in present decade due to its heavy environmental and health impacts. This study analyses the spatiotemporal distribution of criteria air pollutants (PM10, PM2.5, NO2, SO2, CO, and O3) in India from 2019 to 2023 at state and city levels. Among the pollutants, PM levels were the highest measured percentage such as PM10 at 48% and PM2.5 at 22%. In India, exceedance days for PM10 and PM2.5 are 300 and 170 days in a year respectively. The percentage of states/ union territories (UTs) that exceeded NAAQS and WHO guidelines is about 55% and 100% (31 States/UTs) for PM2.5, and 74% and 100% surpassed the PM10 limit. At a city level, 175 (64%) and 226 (83%) cities exceeded the NAAQS limits for PM2.5 and PM10, while all 272 cities (100%) failed to meet the WHO guidelines. Indo-Gangetic Basin showed elevated AQI levels and fall under the critical pollution category. PCA study shows that PM2.5, CO, PM10, and NO2 have a typical mix of pollution sources in India. Seasonal variations revealed that pollutant levels peaked during winter and were lowest in monsoon. The SO2/NO2 ratio shows that the north-eastern states have stationary sources, whereas India's north, central and east regions have mobile sources predominant. The correlation and regression analysis highlight temperature as the most influential factor explaining 43.2% of pollutant variability. The health risk assessments estimate 132890 adult cases attributable to PM2.5 in India, and ischemic heart disease (69.26%) is predominant during 2019 to 2023. Uttar Pradesh exhibits the highest disease burden. Finally, the study shows that the northeastern states report lower disease incidences and air pollution than the northern, central, and eastern states. These findings emphasize the necessity for region-specific air quality management strategies and this study helps government strengthen policy frameworks and implement evidence-based mitigation measures.