Statistical analysis of air quality by emission of different woods: facing the threats of global pandemic with Healthcare 4.0

Rohit Rastogi, Sheelu Sagar, Bhavna Singh, Neeti Tandon, T. Rajeshwari, Priyanshi Garg, Madhulika Singh, Komal, Luv Dhamija and Mayank Sharma

International Journal of Indian Culture and Business Management, 2022, vol. 26, issue 2, 166-203

Abstract: Earth's atmosphere is mainly made up of two gases, nitrogen and oxygen, which together comprise of 99% of gases therein. The other gases comprise of the remaining 1% of the atmosphere. Amongst these are the five major air pollutants viz., ground level ozone, airborne particles or aerosols, carbon monoxide, sulphur dioxide and nitrogen dioxide. Excess of these pollutants in the atmosphere is risky to human health. They are the main ingredients of smog air quality measured with the air quality index (AQI). An AQI under 50 is considered as good air quality however as the AQI number increases, it becomes a concern for human health. In order to find a non-conventional solution to the air pollution problem, it has been proposed to do Yagya, a fire process with three different samidhas namely mango wood, bargad wood and dry cow dung sticks and study their relative emissions and ability to reduce the aerosols PM 2.5, and PM 10. In this paper, researcher has measured the PM levels (PM 2.5 and PM 10) and carbon dioxide CO₂ along with AQI and temperature, humidity and parameters continuously on different woods in a fixed size room and constrained environment to establish that Yagya is a reliable source to reduce environment pollution.

Keywords: PM level; emission; machine learning; sensor and IoT; pollution; Yajna and mantra; sensors; Yagya; Yajna; hawan; agnihotra. (search for similar items in EconPapers)
Date: 2022
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