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Analyses the Pollution Data and Suggest Measure to Reduce Pollution

Khan Salman Tasawar1 , Khan Moin Mohd Umar2 , Piyush Kishore Vaidya3 , Shakila Shaikh4

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-11 , Page no. 148-153, Nov-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i11.148153

Online published on Nov 30, 2019

Copyright © Khan Salman Tasawar, Khan Moin Mohd Umar, Piyush Kishore Vaidya, Shakila Shaikh . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Khan Salman Tasawar, Khan Moin Mohd Umar, Piyush Kishore Vaidya, Shakila Shaikh, “Analyses the Pollution Data and Suggest Measure to Reduce Pollution,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.11, pp.148-153, 2019.

MLA Style Citation: Khan Salman Tasawar, Khan Moin Mohd Umar, Piyush Kishore Vaidya, Shakila Shaikh "Analyses the Pollution Data and Suggest Measure to Reduce Pollution." International Journal of Computer Sciences and Engineering 7.11 (2019): 148-153.

APA Style Citation: Khan Salman Tasawar, Khan Moin Mohd Umar, Piyush Kishore Vaidya, Shakila Shaikh, (2019). Analyses the Pollution Data and Suggest Measure to Reduce Pollution. International Journal of Computer Sciences and Engineering, 7(11), 148-153.

BibTex Style Citation:
@article{Tasawar_2019,
author = {Khan Salman Tasawar, Khan Moin Mohd Umar, Piyush Kishore Vaidya, Shakila Shaikh},
title = {Analyses the Pollution Data and Suggest Measure to Reduce Pollution},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2019},
volume = {7},
Issue = {11},
month = {11},
year = {2019},
issn = {2347-2693},
pages = {148-153},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4959},
doi = {https://doi.org/10.26438/ijcse/v7i11.148153}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i11.148153}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4959
TI - Analyses the Pollution Data and Suggest Measure to Reduce Pollution
T2 - International Journal of Computer Sciences and Engineering
AU - Khan Salman Tasawar, Khan Moin Mohd Umar, Piyush Kishore Vaidya, Shakila Shaikh
PY - 2019
DA - 2019/11/30
PB - IJCSE, Indore, INDIA
SP - 148-153
IS - 11
VL - 7
SN - 2347-2693
ER -

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Abstract

Today pollution has been one amongst the foremost issues to cope with for any country. In South Asia it`s hierarchical because the sixth most dangerous killer. One doesn`t very understand the harmful impact of a pollution if he/she has not full- fledged within the initial place in 2016, a World Health Organisation (WHO) study found that fourteen of the twenty world’s most contaminated cities belonged to Asian nation. Kanpur, in province, emerged because the town with the best PM2.5 level, standing at 173 (17 times more than the limit set for safety). Air pollution doesn`t acknowledge geographical boundaries. even as contaminated air from rural areas travels into cities, cities too contribute towards rural pollution. Thus, it`s crucial f or anti- pollution efforts to be coordinated across completely different levels. Urban-rural and inter-state responses square measure integral to crafting undefeated solutions. luckily, the govt of Asian nation (GoI) has well-versed the pollution epidemic with a nation-wide programme. this is often possible to own terribly positive impact on the health of all voters, particularly town dwellers. The Air Quality Life Index indicates that if national standards with relation to air quality square measure met, expectancy would go up by 2 years.

Key-Words / Index Term

Dangerous killer, harmful, World health organisation(WHO), Government of India, pollution epidemic

References

[1]. Tiwari, R. Sam and S. Shaikh, "Analysis and prediction of churn customers for telecommunication industry," 2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Palladam, 2017,pp.218222.doi:10.1109/ISMAC.2017.8058343
[2]. S. Navadia, P. Yadav, J. Thomas and S. Shaikh, "Weather prediction: A novel approach for measuring and analyzing weather data," 2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Palladam, 2017, pp. 414-417.
doi: 10.1109/I-SMAC.2017.8058382
[3]. S. Shaikh, S. Rathi and P. Janrao, "IRuSL: Image Recommendation Using Semantic Link," 2016 8th International Conference on Computational Intelligence and Communication Networks (CICN), Tehri, 2016, pp.305-308.doi: 10.1109/CICN.2016.66
[4]. S. Shaikh, S. Rathi and P. Janrao, "Recommendation System in E-Commerce Websites: A Graph Based Approached," 2017 IEEE 7th International Advance Computing Conference (IACC), Hyderabad, 2017, pp. 931-934.doi: 10.1109/IACC.2017.0189
[5]. Aarnio Pet al. (2005). The concentrations and composition of and exposure to fine particles (PM2.5) in the Helsinki subway system. Atmospheric Environment, 39(28):5059–5066.
[6]. Abbey DEet al. (1999). Long-term inhalable particles and other air pollutants related to mortality in nonsmokers. American Journal of Respiratory and Critical Care Medicine, 159(2):373–382.
[7]. Almeida-Silva M, Almeida SM, Freitas MC, Pio CA, Nunes T, Cardoso J. Impact of Sahara dust transport on Cape Verde atmospheric element particles. J Toxicol Environ Health A. 2013;76(4-5):240–51.
[8] Alnawaiseh NA, Hashim JH, Md Isa Z. Relationship between vehicle count and particulate air pollution in Amman, Jordan. Asia Pac J Public Health. 2012;27(2):NP1742–51.
[9]..Alolayan MA, Brown KW, Evans JS, Bouhamra WS, Koutrakis P. Source apportionment of fine particles in Kuwait City. Sci Total Environ. 2013;448:14–25.
[10]. Amador-Muñoz O, Bazan-Torija S, Villa-Ferreira SA, Villalobos-Pietrini R, Bravo-Cabrera JL, Munive-Colín Z, et al. Opposing seasonal trends for polycyclic aromatic hydrocarbons and PM10: health risk and sources in southwest Mexico City. Atmos Res. 2013;122:199–212.