Quantification and spatial analysis of gridded (0.1° × 0.1°) emission of indirect GHGs/Air pollutants from anthropogenic sources in India.

Indirect greenhouse gases (GHGs) play a key role in modulating both regional and global atmospheric chemistry and act as air pollutants that degrade air quality. The rising number of premature deaths and notable health hazards could be linked to increasing concentration of these air pollutants in the atmosphere. As a developing nation, India is often regarded as one of the most polluting countries due to increasing anthropogenic activities.

Reporting of gridded ammonia emission and assessment of hotspots across India: A comprehensive study of 24 anthropogenic sources.

Ammonia (NH) acts as a key precursor of the particulate matter, could reduce visibility, deplete stratospheric ozone, and trigger perturbation in ecosystems. Being an agrarian country with a large livestock population and uncontrolled fertilizer application, India could be accountable as a major stakeholder of global NH emissions. This study developed a comprehensive gridded (0.

Quantification and assessment of hazardous mercury emission from industrial process and other unattended sectors in India: A step towards mitigation.

Hazardous pollutants like Mercury (Hg) have emerged as a pressing challenge in recent times where the expanding industrial sector is regarded as the major source in developing country India. In this study, we are trying to identify all possible industrial sectors at district level to quantify Hg emission load across India for the year 2019 using IPCC methodology where the country-specific technological emission factors are used. We have included 5 major sectors out of which emission from coal combustion in thermal power plants accounts for 186.

Triple dip La-Nina, unorthodox circulation and unusual spin in air quality of India.

The recent La-Nina phase of the El Nino Southern Oscillation (ENSO) phenomenon unusually lasted for third consecutive year, has disturbed global weather and linked to Indian monsoon. However, our understanding on the linkages of such changes to regional air quality is poor. We hereby provide a mechanism that beyond just influencing the meteorology, the interactions between the ocean and the atmosphere during the retreating phase of the La-Niña produced secondary results that significantly influenced the normal distribution of air quality over India through disturbed large-scale wind patterns.

Machine learning based quantification of VOC contribution in surface ozone prediction.

The prediction of surface ozone is essential attributing to its impact on human and environmental health. Volatile organic compounds (VOCs) are crucial in driving ozone concentration; particularly in urban areas where VOC limited regimes are prominent. The limited measurements of VOCs, however, hinder assessing the VOC-ozone relationship.