Abstract
Air is one of the major important concerns for human life. The survival of human life is completely depending on the air. So, the air is defined as “Lets Live the human life”. The oxygen is much required for life. Fresh air contains more oxygen. More oxygen helps for the better functionality of the body. Nowadays, air is getting polluted due to heavy usage of chemicals, the use of petroleum products and the release of CO2. So, day by day, the purity of the air is maximum decreasing. Hence, it becomes necessary to monitor air pollution in various segments. The importance of air quality has been recognized in the early 1980s. Different techniques are used to measure air quality. Hence, we propose a new technique of Data science for analyzing the air quality and we have implemented IoT techniques to monitor the air quality.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
S. Sirsikar, P. Karemore, Review paper on air pollution monitoring system. Int. J. Adv. Res. Comput. Commun. Eng. 4(1) (2015). https://ijarcce.com/wp-content/uploads/2015/02/IJARCCE4B.pdf
M. Nounou, H. Nounou, F. Harrou, Detecting abnormal ozone levels using PCA Based GLR hypothesis testing. In: 2013 IEEE Symposium on Computational Intelligence and Data Mining. https://ieeexplore.ieee.org/document/6597223
Ghanem, M. Richards, Y. Ma, Air pollution monitoring and mining based on sensor grid in London, June 2018, vol. 6, https://www.ncbi.nlm.nih.gov/pubmed/27879895
A.R. Al-Ali, I.A. Zualkernan, F.A. Aloul, A Mobile GPRS sensors array for air pollution monitoring. Sensors J., IEEE 10(10), 1666, 1671 (2010). https://ieeexplore.ieee.org/document/5483217
M. Mushtaha, A. Abu-Dayya, E. Yaacoub, A. Kadri, Air quality monitoring and analysis in qatar using a wireless sensor network deployment, pp. 596–601. IEEE (2013). https://ieeexplore.ieee.org/document/6583625
A. Arfire, A. Marjovi, A. Martinoli, Mitigating Slow dynamics of low-cost chemical sensors for mobile air quality monitoring sensor networks. In: Proceedings of the 2016 International Conference on Embedded Wireless Systems and Networks, Graz, Austria, 15–17 February 2016; pp. 159–167. https://dl.acm.org/citation.cfm?id=2893734
D.K. Lewis, L.R. Williams, G.R. Magoon, M.L. Kaminsky, E.S. Cross, D.R. Workshop, J.T. Jayne, Use of electrochemical sensors for measurement of air pollution: correcting interference response and validating measurements. Atmos. Meas. Tech. Discuss 2017, 1–17 (2017). https://www.atmos-meas-tech.net/10/3575/2017/amt-10–3575-2017.pdf
E.G. Snyder, T.H. Watkins, P.A. Solomon, E.D. Thoma, R.W. Williams, G.S.W. Hagler, D. Shelow, D.A. Hindin, V.J. Kilaru, P.W. Preuss, The changing paradigm of air pollution monitoring. Environ. Sci. Technol. 47, 11369–11377 (2013). https://pubs.acs.org/doi/abs/10.1021/acs.est.5b01245?src=recsys&journalCode=esthag
R.M. Duvall, R.W. Long, M.R. Beaver, K.G. Kronmiller, M.L. Wheeler, J.J. Szykman, Performance evaluation and community application of low-cost sensors for ozone and nitrogen dioxide. Sensors, 16 (2016). https://pdfs.semanticscholar.org/0c55/78778d71045340f334086f1c7dda31dc947a.pdf
L. Sun, K.C. Wong, P. Wei, S. Ye, H. Huang, F.H. Yang, D. Westerdahl, P.K.K. Louie, C.W.Y. Luk, Z. Ning, Development and application of a next generation air sensor network for the Hong Kong marathon 2015 air quality monitoring. Sensors 16, 211 (2016). https://www.researchgate.net/publication/293190010
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Sree Devi, M., Rahamathulla, V. (2020). Air Quality Through IoT and Big Data Analytics. In: Borah, S., Emilia Balas, V., Polkowski, Z. (eds) Advances in Data Science and Management. Lecture Notes on Data Engineering and Communications Technologies, vol 37. Springer, Singapore. https://doi.org/10.1007/978-981-15-0978-0_17
Download citation
DOI: https://doi.org/10.1007/978-981-15-0978-0_17
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-0977-3
Online ISBN: 978-981-15-0978-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)