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Modeling the stubble burning generated airborne contamination with air pollution components through MATLAB.
- Source :
-
Earth Science Informatics . Jun2022, Vol. 15 Issue 2, p1137-1146. 10p. - Publication Year :
- 2022
-
Abstract
- Air pollution is one of the significant environmental issues. It can cause adverse health effects such as cancer, cardiovascular diseases, and high mortality rates. High population density is a huge contributory factor of air pollution in cities and urbanized areas. Other sources of air pollution are transport, local heating, and possibly a pollution transfer from neighboring industrial regions. Information about the opening and closing of industrial plants, stubble burning, and fireworks can be considered an added value to this work. In recent past years, among the Delhi/National Capital Region. The pollution level has been raised multiple times during November and March months. The most significant root cause of this trouble is stubble-burning air pollution in the neighboring cities like Punjab and Haryana. Another concern is the burning of fireworks in these months due to Diwali and other festivals in the cities. This research paper aims to perform a data-based analysis on the PM2.5 and PM10 concentration levels of the past six years month-wise from the authenticated sources to find out the causes of extreme air pollution levels. This research paper deals mainly with long-term time series, including air pollutants PM2.5, PM10, and other meteorological variables. It models and analyzes the PM2.5 and PM10 values for 2014–2018. The present research work also deals with the facts and methods to handle the high air pollution rate in Delhi/NCR caused by stubble burning and analysis the effect on the environment by the call of Honorable Prime Minister of India Shri Narender Modi Ji for the illusion of candles as a symbolic fight against COVID 19. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 18650473
- Volume :
- 15
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- Earth Science Informatics
- Publication Type :
- Academic Journal
- Accession number :
- 157412577
- Full Text :
- https://doi.org/10.1007/s12145-022-00787-7