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This paper explores the potential of social media data to develop a complementary tool for monitoring and managing recreational angling and conserving megafish mahseer

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 186.5 t/yr of Hg emission followed by non-ferrous metal production (88.3 t/yr), captive power plants (65.5 t/yr) and fly ash generation from various manufacturing industries (45.9 t/yr). A total of 459.4 t/yr of Hg is released into the ecosystem in 2019 with an uncertainty of ± 48%. This study also estimated that about 233 million people living in and around 10 km periphery of major industrial zones with as many as 17 million people residing near the 10 major hotspots are susceptible to hazardous Hg emissions directly or indirectly. This information would be quite useful in formulating future Hg emission control strategies in India.

We hereby present the variability of fine particles (PM1 ≤ 1 micron) that has not yet been investigated under the influence of COVID-19-induced lockdown in three major cities of different climatic zones in India. We unfold the baseline level of PM1, a level to which the population is chronically exposed and extremely critical for epidemiologists for fixing health markers. This has been achieved using the saturation point methodology under fair weather conditions. The baseline level of PM1 for Delhi and Mumbai is found to be 13 µg m− 3 and 9 µg m− 3, respectively. The processes leading to a significantly higher decline in the level of PM1 as compared to coarser particles (PM2.5) are discussed. The varying magnitude of the declining trends in PM1 is found to be linked to the intensity of residential emissions, which vary from one city to another and was exempted during lockdown. Our findings are critical in understanding the dominant role played by different sources of PM1 in framing effective health risk management policies.