International Journal of Application or Innovation in Engineering & Management
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Call for Paper, Published Articles, Indexing Infromation PREDICTING THE EFFECT OF FINE PARTICULATE MATTER (PM2.5) ON AN ECOSYSTEM INCLUDING CLIMATE, PLANTS AND HUMAN HEALTH USING MACHINE LEARNING METHODS, Authors : Subhadra Rajpoot, PrakarshKaushik, DevangPratapsingh , Brij Kishore tiwari, International Journal of Application or Innovation in Engineering & Management (IJAIEM), www.ijaiem.org
Volume & Issue no: Volume 10, Issue 5, May 2021

Title:
PREDICTING THE EFFECT OF FINE PARTICULATE MATTER (PM2.5) ON AN ECOSYSTEM INCLUDING CLIMATE, PLANTS AND HUMAN HEALTH USING MACHINE LEARNING METHODS
Author Name:
Subhadra Rajpoot, PrakarshKaushik, DevangPratapsingh , Brij Kishore tiwari
Abstract:
Particulate issue (PM) is an unexpected mixtureof strong and fluid molecules suspended in the atmosphere.These particles consist regular basis of a mixture of inorganicand organic synthetic substances, including carbon, sulphates,nitrates, metals and acids. Research advises that molecular sizeis a key factor that influences the respiratory tract and affectshumans. Large and rough particles are deposited only in thenasalpassages;however,tinyandultrafineparticles, canpenetratedeepareasofthelung.Veryfineandminuteparticlesare present in much more noteworthy figures and have a muchmore prominent surface area than particles bigger in size ofsimilar weight, and are usually rather more hazardous. Somecountriescontributetoambientparticulatemattercontaminantsinothercountries.Mediacoveragehasbeenextended to particulate matter in recent years, as a result of thediscovery of thousands of young people kicking a bucket ofparticulate matter posed well-being impacts. It covers both thecurrent time and the future. The particulate matter problemdoesnotonlyillustratewell-beingimpacts;italsoplaysaroleinthe influence of a green house and an abnormal shift in climateasaresultof itsparticipation tocloudarrangement.Thestudydisclosedinthispaperiscrucialfor amuchbroaderexploratorystudyonairborneparticulatematter.Theseparticulateshavenowbecomeasubjectofrealconcerninth e global environment, as they may not only have generousnegative effects for human well-being, but they may also havean effect on rainfall pattern, the worlds ecosystem and well-being of flora and fauna. In addition, the presence of theseparticles on vegetated surfaces can adversely affect the life ofplantsandcreatures.Thedimension,compositionofthesubstances and the cause of these particles are tremendouslychanging. The impacts of these particles have beenstudied,evaluated and discussed in this paper with their correspondingnaturalinfluence
Cite this article:
Subhadra Rajpoot, PrakarshKaushik, DevangPratapsingh , Brij Kishore tiwari , " PREDICTING THE EFFECT OF FINE PARTICULATE MATTER (PM2.5) ON AN ECOSYSTEM INCLUDING CLIMATE, PLANTS AND HUMAN HEALTH USING MACHINE LEARNING METHODS " , International Journal of Application or Innovation in Engineering & Management (IJAIEM), Volume 10, Issue 5, May 2021 , pp. 001-010 , ISSN 2319 - 4847.
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