Two decades of aerosol trends over India
Seasonal characteristics and urban-rural dynamics
Bibliographic Data
| ID | 15549895 |
|---|---|
| Authors | Prathmesh Namdeo (Indian Institute of Technology Bombay, corresponding author), TC Chakraborty (0000-0003-1338-3525, Pacific Northwest National Laboratory), Abhishek Chakraborty (0000-0001-9531-6419, Indian Institute of Technology Bombay) |
| Year | 2024 |
| Volume | 19 |
| Issue | 12 |
| Pages | 124065-124065 |
| Publication date | 2024-11-14 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environmental Research Letters (JOURNAL) |
| Journal identifiers | ISSN: 1748-9326 • E-ISSN: 1748-9326 |
| Publisher | IOP Publishing (PUBLISHER • GB) |
| DOI | 10.1088/1748-9326/ad9291 |
| OpenAlex | W4404367995 |
| Language | EN |
| References cited | 24 |
India faces significant air quality challenges, with one of the highest air pollution levels of any country in the world. Here, we examine two decades (2001–2019) of both particulate matter (PM 2.5 ) concentration and aerosol optical depth (AOD) over the country. Increases are seen between the two decadal averages, for 2001–2010 and 2011–2019, in western India, particularly in the Indo-Gangetic Plain (IGP). IGP region, including Bihar, West Bengal, Jharkhand, and Uttar Pradesh, shows the highest increases in AOD (+0.03, 13%) and PM 2.5, s (+8 μ g m −3 ). Seasonal AOD patterns fluctuate, with the IGP experiencing the highest wintertime increase, especially in Bihar (+0.07). In summer, there are increases in AOD along the southern and eastern coastal areas. Monsoons cause a slight rise in AOD, except in Rajasthan. In the post-monsoon season, the IGP experiences a notable increase in AOD (+0.057, 25%), potentially driven by biomass burning in Bihar (+0.11) and Uttar Pradesh (+0.075). Dividing our study area into urban and peri-urban clusters ( n = 2791), AOD is found to be similar, possibly due to advective mixing. However, the differences between urban and rural areas become more noticeable, especially in the second decade. Correlations between AOD and PM 2.5, g vary across locations, with the highest found in Kanpur ( R 2 = 0.61) and weaker in Delhi ( R 2 = 0.42), highlighting the need for more ground monitoring. However, it suggests that satellite-derived AOD can generally be used to examine trends in PM 2.5 over longer time frames
Aerosol · Air quality index · Biology · Climatology · Geography · Meteorology · Monsoon · Particulates · Socioeconomics · Uttar pradesh · Air Quality and Health Impacts · Atmospheric aerosols and clouds · Atmospheric chemistry and aerosols · Environmental Science · Ecology · Geology
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| Citation velocity | historical |
|---|---|
| Highly cited | No |