Investigating the relationship of aerosols with enhanced vegetation index and meteorological parameters over Pakistan DOI Creative Commons
Salman Tariq, Hasan Nawaz, Zia ul Haq

et al.

Atmospheric Pollution Research, Journal Year: 2021, Volume and Issue: 12(6), P. 101080 - 101080

Published: May 11, 2021

Language: Английский

Vulnerability of Indian wheat against rising temperature and aerosols DOI
Geetika Sonkar, R. K. Mall, Tirthankar Banerjee

et al.

Environmental Pollution, Journal Year: 2019, Volume and Issue: 254, P. 112946 - 112946

Published: July 23, 2019

Language: Английский

Citations

60
Source apportionment and health risk assessment of airborne particulates over central Indo-Gangetic Plain DOI

Vishnu Murari,

N. P. Singh,

Rohit Ranjan

et al.

Chemosphere, Journal Year: 2020, Volume and Issue: 257, P. 127145 - 127145

Published: May 22, 2020

Language: Английский

Citations

58
Long-term trends in air quality in major cities in the UK and India: a view from space DOI Creative Commons
K.G. Vohra, Eloïse A. Marais,

Shannen Suckra

et al.

Atmospheric chemistry and physics, Journal Year: 2021, Volume and Issue: 21(8), P. 6275 - 6296

Published: April 28, 2021

Abstract. Air quality networks in cities can be costly and inconsistent typically monitor a few pollutants. Space-based instruments provide global coverage spanning more than decade to determine trends air quality, augmenting surface networks. Here we target the UK (London Birmingham) India (Delhi Kanpur) use observations of nitrogen dioxide (NO2) from Ozone Monitoring Instrument (OMI), ammonia (NH3) Infrared Atmospheric Sounding Interferometer (IASI), formaldehyde (HCHO) OMI as proxy for non-methane volatile organic compounds (NMVOCs), aerosol optical depth (AOD) Moderate Resolution Imaging Spectroradiometer (MODIS) PM2.5. We assess skill these products at reproducing monthly variability concentrations pollutants where available. find temporal consistency between column NO2 (R = 0.5–0.7) NH3 two three rural sites but not AOD PM2.5 < 0.4). MODIS is consistent with AERONET ≥ 0.8) reproduces significant decline London (2.7 % a−1) Birmingham (3.7 since 2009. derive long-term four 2005–2018 2008–2018 IASI. Trends all are positive Delhi, suggesting no improvements there, despite roll-out controls on industrial transport sectors. Kanpur, identified by WHO most polluted city world 2018, experiences substantial (3.1 increase The NO2, NH3, likely due large part emissions vehicles. only Reactive NMVOCs Birmingham, trend significant. There recent (2012–2018) steep (> 9 reactive London. cause this rapid uncertain may reflect increased contribution oxygenated (VOCs) household products, food beverage industry, domestic wood burning, implications formation ozone VOC-limited city.

Language: Английский

Citations

54
Assessment of contribution of agricultural residue burning on air quality of Delhi using remote sensing and modelling tools DOI

Moorthy Nair,

Hemant Bherwani, Suman Kumar

et al.

Atmospheric Environment, Journal Year: 2020, Volume and Issue: 230, P. 117504 - 117504

Published: April 16, 2020

Language: Английский

Citations

50
Investigating the relationship of aerosols with enhanced vegetation index and meteorological parameters over Pakistan DOI Creative Commons
Salman Tariq, Hasan Nawaz, Zia ul Haq

et al.

Atmospheric Pollution Research, Journal Year: 2021, Volume and Issue: 12(6), P. 101080 - 101080

Published: May 11, 2021

Language: Английский

Citations

45