IMPROVE AIR QUALITY USING INNER PATTERN DATA PLANT METHOD FOR DEPLOYING TAXONOMY METHOD
Dr.S.Brindha
, Dr.S.Sukumaran , A.Srinivasan
Pattern Mining, Pollution Control Department, Indoor Pattern Data Plant (IPDP), Central Pollution Control Board.
Pure air is a mixture of various gases such as nitrogen, oxygen, argon, carbon dioxide, and small amount of other gases in a fixed proportion. Air pollution has now become a serious issue of concern and many of the countries in the world are formulating strategies to deal with it. There are quantities of factors dependable for the altered masterwork of the ambient air which can be largely categorized as natural causes and anthropogenic (man-made) causes. Finally, we introduce control measures and actions affected areas. The paper aims to help environmental scientists and policy makers around the world understand the past and current air pollution and how to prevent the air pollution using Indoor Pattern Data Plant (IPDP) actions strategies and actions taken by the individual as well as the respective of various Departments in India.
"IMPROVE AIR QUALITY USING INNER PATTERN DATA PLANT METHOD FOR DEPLOYING TAXONOMY METHOD", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 2, page no.56 - 61, February-2020, Available :https://ijsdr.org/papers/IJSDR2002011.pdf
Volume 5
Issue 2,
February-2020
Pages : 56 - 61
Paper Reg. ID: IJSDR_191313
Published Paper Id: IJSDR2002011
Downloads: 000347196
Research Area: Engineering
Country: -, -, -
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
