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POLLUTION MANAGEMENT THROUGH INTERNET OF THINGS: A SUBSTANTIAL SOLUTION FOR SOCIETY
Corresponding Author(s) : Gulbir Singh
Humanities & Social Sciences Reviews,
Vol. 7 No. 5 (2019): September
Abstract
Purpose of Study: In this age where population and industrialization have extended exponentially, contamination is a noteworthy emergency looked by humanity and essential measures ought to be taken to control it quickly. High levels of pollutants in the atmosphere, which are responsible for causing pollution that causes human heart problems, breathing and other all health problems to our society. This paper focused to provide a substantial solution to pollution in our society as a result of which major social, personal health and environmental pollution problems can be monitored and by taking effective steps they can be reduced.
Methodology: The proposed framework is an IOT unit for handling these issues, including powerful use of the different sensor, to capture the estimations of various sorts of toxins in the earth and show insights on a site which can be gotten to by all clients for nothing. The research data is collected from the different sensors installed at different locations in our surroundings. After collecting data from sensors, a comparative study of data is carried out with the standards provided by the Central Pollution Control Board (CPCB).
Results: The proposed system helps to reduce the pollution in our environment and as a result of which pollution can be reduced by taking major steps towards it.
Application/Implications: The framework we are proposing is a propelled answer for observing the ecological contamination at a specific spot and make data available for each person.
Novelty/originality of the study: Our proposed system ensures that pollution which ultimately causes health, environmental and other social problems can be tracked from time to time and each and every person in the society can track and check pollution level in their surroundings.
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- A. R. Al-Ali, I. Zualkernan, and FadiAloul, (2010). A Mobile GPRS-Sensors Array for Air Pollution Monitoring IEEE SENSORS JOURNAL, VOL. 10, NO. 10, pp 1666 - 1671. https://doi.org/10.1109/JSEN.2010.2045890 DOI: https://doi.org/10.1109/JSEN.2010.2045890
- Anjaiah, Guthi, (2016). Implementation of an Efficient Noise and Air Pollution Monitoring Systems Using Internet of things,†International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), Vol 5, Issue 7, pp.237-242.
- B.H. Sudantha and Nihal Kularatna, (2008).An environmental air pollution monitoring system based on the IEEE 1451 standard for low-cost requirements, IEEE Sensors J., vol. 8, pp.415–422. https://doi.org/10.110 9/JSEN.2008.917477 DOI: https://doi.org/10.1109/JSEN.2008.917477
- Clarissa Ruzol, Daylinda Banzon-Cabanilla, Rico Ancog, Eleno Peralta, (2017). Understanding water pollution management: Evidence and insights from incorporating cultural theory in social network analysis, Global Environmental Change, Volume 45, July 2017, Pages 183-193, https://doi.org/10.1016/j.gloenvcha.2017.06.0099 DOI: https://doi.org/10.1016/j.gloenvcha.2017.06.009
- F. Tsow, E Forzani, A. Rai, R. Wang, R. Tsui, N. J. Tao, (2009). A wearable and wireless sensor system for real-time monitoring of toxic environmental volatile organic compounds, IEEE Sensors J., vol. 9, pp. 1734–1740. https://doi.org/10.1109/JSEN.2009.2030747 DOI: https://doi.org/10.1109/JSEN.2009.2030747
- F.D. Owa, (2013). Water Pollution: Sources, Effects, Control and Management, Mediterranean Journal of Social Sciences, Vol 4, No 8 (2013), pp65-68, 10.5901/mjss.2013.v4n8p65 DOI: https://doi.org/10.5901/mjss.2013.v4n8p65
- G. Lehmann, A. Rieger, M. Blumendorf, S. A. DAI, (2010). A 3-Layer Architecture for Smart Environment Models A model-based approach, Labor Technische University Berlin, Germany 978-1-4244-5328-3/10 IEEE, pp. 636-641.
- Himandri, S, Supritam Audi & Avimita Chatteergee,(2017) Pollution Control Of The Internet Of Things (Iot), Conference: Industrial Automation and Electromechanical Engineering Conference (IEMECON), 2017 8th Annual, At Bangkok, Thailand, DOI: 10.1109/IEMECON.2017.8079563 DOI: https://doi.org/10.1109/IEMECON.2017.8079563
- Ghuncha Firdaus and Ateeque Ahmad, (2010). Noise Pollution and Human Health: A Case Study of Municipal Corporation of Delhi, Indoor and Built Environment, Volume: 19 issue: 6, page(s): 648-656, https://doi.org/10.1177/1420326X10370532 DOI: https://doi.org/10.1177/1420326X10370532
- Hefei Effendi, (2016). River Water Quality Preliminary Rapid Assessment Using Pollution Index, Procedia Environmental Sciences, Volume 33, Pages 562-567, https://doi.org/10.1016/j.proenv.2016.03.108 DOI: https://doi.org/10.1016/j.proenv.2016.03.108
- Joshua Nizel Halder, M. Nazrul Islam, (2015). Water Pollution and its Impact on the Human Health, JOURNAL OF ENVIRONMENT AND HUMAN, Volume 2, Number 1, pg 36-46, DOI: 10.15764/EH.2015.01005 DOI: https://doi.org/10.15764/EH.2015.01005
- Kumar, G., Singh, G., Bhatanagar, V., & Jyoti, K. (2019). SCARY DARK SIDE OF ARTIFICIAL INTELLIGENCE: A PERILOUS CONTRIVANCE TO MANKIND. Humanities & Social Sciences Reviews, 7(5), 1097-1103. https://doi.org/10.18510/hssr.2019.75146 DOI: https://doi.org/10.18510/hssr.2019.75146
- M. de Boer, (1998). Facing the Air Pollutions Agenda for the 21st Century, Air Pollution in the 21st Century, Priority Issues and Policies, T. Schneider, Elsevier Science, Netherland, pp.3-8. https://doi.org/10.1016/S0166-1116(98)80001-0 DOI: https://doi.org/10.1016/S0166-1116(98)80001-0
- Matthew D.Adams, Pavlos S.Kanaroglou, (2016). Mapping real-time air pollution health risk for environmental management: Combining mobile and stationary air pollution monitoring with neural network models, Journal of Environmental Management, Volume 168, Pages 133-141, https://doi.org/10.1016/j.jenvman.2015.12.012 DOI: https://doi.org/10.1016/j.jenvman.2015.12.012
- Mollinga, Peter P. (2010). Transdisciplinary method for water pollution and human health research, ZEF Working Paper Series, No. 59, University of Bonn, Center for Development Research (ZEF), Bonn
- P.M.B Silva, J.M. Dias Girao and O. A. Postolache, (2009). Smart sensors network for air quality monitoring applications, IEEE Trans.Instrum.Meas., vol. 58, no. 9, pp. 3253-3262. https://doi.org/10.1109/TIM .2009.2022372 DOI: https://doi.org/10.1109/TIM.2009.2022372
- Prashant Kumar et al, (2015), The rise of low-cost sensing for managing air pollution in cities, Environment International, Volume 75, Pages 199-205, https://doi.org/10.1016/j.envint.2014.11.019 DOI: https://doi.org/10.1016/j.envint.2014.11.019
- Prof Bert Brunekreef PhD, Prof Stephen T Holgate MD, (2002), Air pollution and health, THE LANCET, Volume 360, Issue 9341, 19 October 2002, Pages 1233-1242, https://doi.org/10.1016/S0140-6736(02)11274-8 DOI: https://doi.org/10.1016/S0140-6736(02)11274-8
- René P. Schwarzenbach, Thomas Egli, Thomas B. Hofstetter, Urs von Gunten, and Bernhard Wehrli, (2010). Global Water Pollution and Human Health, Annual Reviews of Environment and Resources, Vol. 35:109-136, https://doi.org/10.1146/annurev-environ-100809-125342 DOI: https://doi.org/10.1146/annurev-environ-100809-125342
- S. Kumar, Vijnatha Raju, Aravind, R.V.R.S., (2013). Pollution Monitoring System using Wireless Sensor Networks, International Journal of Engineering Trends and Technology, Vol 4, Issue No 4 , pp.591-595.
- Savale P. A., (2014). EFFECT OF NOISE POLLUTION ON HUMAN BEING : ITS PREVENTION AND CONTROL, Journal of Environmental Research And Development, Vol. 8 No. 4, pg 1026-1036.
- Sheena E. Martenies, Donele Wilkins, Stuart A. Batterman, (2015), Health impact metrics for air pollution management strategies, Environment International, Volume 85, Pages 84-95, https://doi.org/10.1016/j.envint.2015.08.013 DOI: https://doi.org/10.1016/j.envint.2015.08.013
- Singh, G., Dubey, O. P., & Kumar, G. (2018). A SOLUTION TO SELECTIVE FORWARD ATTACK IN WIRELESS SENSOR NETWORK. International Journal of Students’ Research in Technology & Management, 6(2), 25-30. https://doi.org/10.18510/ijsrtm.2018.625 DOI: https://doi.org/10.18510/ijsrtm.2018.625
- Van N.D. (1998). Egmond, Historical perspective and its future outlook, “Air Pollution in the 21st Century,†Priority Issues and Policy, T. Schneider, Elsevier- Science Netherland, pp.35-46. https://doi.org/10.1016/S0166-1116(98)80004-6 DOI: https://doi.org/10.1016/S0166-1116(98)80004-6
- Y. Panagopoulos, C .Makropoulos, M. Mimikou.(2012), Decision support for diffuse pollution management, Environmental Modelling & Software, Volume 30, Pages 57-70, https://doi.org/10.1016/j.envsoft.2011.11.006 DOI: https://doi.org/10.1016/j.envsoft.2011.11.006
- Y.K. Lee and Y.J. Jung, D. G. Lee, K. H. Ryu, S. Nittel, (2008). Air pollution monitoring system based on geo sensor network, IEEE-International Symposium on Geoscience and Remote Sensing, pp.III-1370–III-1373.
- Yanpeng Cai et al, (2018). An export coefficient based inexact fuzzy bi-level multi-objective programming model for the management of agricultural nonpoint source pollution under uncertainty, Journal of Hydrology, Volume 557, Pages 713-725, https://doi.org/10.1016/j.jhydrol.2017.12.067 DOI: https://doi.org/10.1016/j.jhydrol.2017.12.067
- Yonglong Lu et al, (2018), Major threats of pollution and climate change to global coastal ecosystems and enhanced management for sustainability, Environmental Pollution, Volume 239, Pages 670-680, https://doi.org/10.1016/j.envpol.2018.04.016 DOI: https://doi.org/10.1016/j.envpol.2018.04.016
References
A. R. Al-Ali, I. Zualkernan, and FadiAloul, (2010). A Mobile GPRS-Sensors Array for Air Pollution Monitoring IEEE SENSORS JOURNAL, VOL. 10, NO. 10, pp 1666 - 1671. https://doi.org/10.1109/JSEN.2010.2045890 DOI: https://doi.org/10.1109/JSEN.2010.2045890
Anjaiah, Guthi, (2016). Implementation of an Efficient Noise and Air Pollution Monitoring Systems Using Internet of things,†International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), Vol 5, Issue 7, pp.237-242.
B.H. Sudantha and Nihal Kularatna, (2008).An environmental air pollution monitoring system based on the IEEE 1451 standard for low-cost requirements, IEEE Sensors J., vol. 8, pp.415–422. https://doi.org/10.110 9/JSEN.2008.917477 DOI: https://doi.org/10.1109/JSEN.2008.917477
Clarissa Ruzol, Daylinda Banzon-Cabanilla, Rico Ancog, Eleno Peralta, (2017). Understanding water pollution management: Evidence and insights from incorporating cultural theory in social network analysis, Global Environmental Change, Volume 45, July 2017, Pages 183-193, https://doi.org/10.1016/j.gloenvcha.2017.06.0099 DOI: https://doi.org/10.1016/j.gloenvcha.2017.06.009
F. Tsow, E Forzani, A. Rai, R. Wang, R. Tsui, N. J. Tao, (2009). A wearable and wireless sensor system for real-time monitoring of toxic environmental volatile organic compounds, IEEE Sensors J., vol. 9, pp. 1734–1740. https://doi.org/10.1109/JSEN.2009.2030747 DOI: https://doi.org/10.1109/JSEN.2009.2030747
F.D. Owa, (2013). Water Pollution: Sources, Effects, Control and Management, Mediterranean Journal of Social Sciences, Vol 4, No 8 (2013), pp65-68, 10.5901/mjss.2013.v4n8p65 DOI: https://doi.org/10.5901/mjss.2013.v4n8p65
G. Lehmann, A. Rieger, M. Blumendorf, S. A. DAI, (2010). A 3-Layer Architecture for Smart Environment Models A model-based approach, Labor Technische University Berlin, Germany 978-1-4244-5328-3/10 IEEE, pp. 636-641.
Himandri, S, Supritam Audi & Avimita Chatteergee,(2017) Pollution Control Of The Internet Of Things (Iot), Conference: Industrial Automation and Electromechanical Engineering Conference (IEMECON), 2017 8th Annual, At Bangkok, Thailand, DOI: 10.1109/IEMECON.2017.8079563 DOI: https://doi.org/10.1109/IEMECON.2017.8079563
Ghuncha Firdaus and Ateeque Ahmad, (2010). Noise Pollution and Human Health: A Case Study of Municipal Corporation of Delhi, Indoor and Built Environment, Volume: 19 issue: 6, page(s): 648-656, https://doi.org/10.1177/1420326X10370532 DOI: https://doi.org/10.1177/1420326X10370532
Hefei Effendi, (2016). River Water Quality Preliminary Rapid Assessment Using Pollution Index, Procedia Environmental Sciences, Volume 33, Pages 562-567, https://doi.org/10.1016/j.proenv.2016.03.108 DOI: https://doi.org/10.1016/j.proenv.2016.03.108
Joshua Nizel Halder, M. Nazrul Islam, (2015). Water Pollution and its Impact on the Human Health, JOURNAL OF ENVIRONMENT AND HUMAN, Volume 2, Number 1, pg 36-46, DOI: 10.15764/EH.2015.01005 DOI: https://doi.org/10.15764/EH.2015.01005
Kumar, G., Singh, G., Bhatanagar, V., & Jyoti, K. (2019). SCARY DARK SIDE OF ARTIFICIAL INTELLIGENCE: A PERILOUS CONTRIVANCE TO MANKIND. Humanities & Social Sciences Reviews, 7(5), 1097-1103. https://doi.org/10.18510/hssr.2019.75146 DOI: https://doi.org/10.18510/hssr.2019.75146
M. de Boer, (1998). Facing the Air Pollutions Agenda for the 21st Century, Air Pollution in the 21st Century, Priority Issues and Policies, T. Schneider, Elsevier Science, Netherland, pp.3-8. https://doi.org/10.1016/S0166-1116(98)80001-0 DOI: https://doi.org/10.1016/S0166-1116(98)80001-0
Matthew D.Adams, Pavlos S.Kanaroglou, (2016). Mapping real-time air pollution health risk for environmental management: Combining mobile and stationary air pollution monitoring with neural network models, Journal of Environmental Management, Volume 168, Pages 133-141, https://doi.org/10.1016/j.jenvman.2015.12.012 DOI: https://doi.org/10.1016/j.jenvman.2015.12.012
Mollinga, Peter P. (2010). Transdisciplinary method for water pollution and human health research, ZEF Working Paper Series, No. 59, University of Bonn, Center for Development Research (ZEF), Bonn
P.M.B Silva, J.M. Dias Girao and O. A. Postolache, (2009). Smart sensors network for air quality monitoring applications, IEEE Trans.Instrum.Meas., vol. 58, no. 9, pp. 3253-3262. https://doi.org/10.1109/TIM .2009.2022372 DOI: https://doi.org/10.1109/TIM.2009.2022372
Prashant Kumar et al, (2015), The rise of low-cost sensing for managing air pollution in cities, Environment International, Volume 75, Pages 199-205, https://doi.org/10.1016/j.envint.2014.11.019 DOI: https://doi.org/10.1016/j.envint.2014.11.019
Prof Bert Brunekreef PhD, Prof Stephen T Holgate MD, (2002), Air pollution and health, THE LANCET, Volume 360, Issue 9341, 19 October 2002, Pages 1233-1242, https://doi.org/10.1016/S0140-6736(02)11274-8 DOI: https://doi.org/10.1016/S0140-6736(02)11274-8
René P. Schwarzenbach, Thomas Egli, Thomas B. Hofstetter, Urs von Gunten, and Bernhard Wehrli, (2010). Global Water Pollution and Human Health, Annual Reviews of Environment and Resources, Vol. 35:109-136, https://doi.org/10.1146/annurev-environ-100809-125342 DOI: https://doi.org/10.1146/annurev-environ-100809-125342
S. Kumar, Vijnatha Raju, Aravind, R.V.R.S., (2013). Pollution Monitoring System using Wireless Sensor Networks, International Journal of Engineering Trends and Technology, Vol 4, Issue No 4 , pp.591-595.
Savale P. A., (2014). EFFECT OF NOISE POLLUTION ON HUMAN BEING : ITS PREVENTION AND CONTROL, Journal of Environmental Research And Development, Vol. 8 No. 4, pg 1026-1036.
Sheena E. Martenies, Donele Wilkins, Stuart A. Batterman, (2015), Health impact metrics for air pollution management strategies, Environment International, Volume 85, Pages 84-95, https://doi.org/10.1016/j.envint.2015.08.013 DOI: https://doi.org/10.1016/j.envint.2015.08.013
Singh, G., Dubey, O. P., & Kumar, G. (2018). A SOLUTION TO SELECTIVE FORWARD ATTACK IN WIRELESS SENSOR NETWORK. International Journal of Students’ Research in Technology & Management, 6(2), 25-30. https://doi.org/10.18510/ijsrtm.2018.625 DOI: https://doi.org/10.18510/ijsrtm.2018.625
Van N.D. (1998). Egmond, Historical perspective and its future outlook, “Air Pollution in the 21st Century,†Priority Issues and Policy, T. Schneider, Elsevier- Science Netherland, pp.35-46. https://doi.org/10.1016/S0166-1116(98)80004-6 DOI: https://doi.org/10.1016/S0166-1116(98)80004-6
Y. Panagopoulos, C .Makropoulos, M. Mimikou.(2012), Decision support for diffuse pollution management, Environmental Modelling & Software, Volume 30, Pages 57-70, https://doi.org/10.1016/j.envsoft.2011.11.006 DOI: https://doi.org/10.1016/j.envsoft.2011.11.006
Y.K. Lee and Y.J. Jung, D. G. Lee, K. H. Ryu, S. Nittel, (2008). Air pollution monitoring system based on geo sensor network, IEEE-International Symposium on Geoscience and Remote Sensing, pp.III-1370–III-1373.
Yanpeng Cai et al, (2018). An export coefficient based inexact fuzzy bi-level multi-objective programming model for the management of agricultural nonpoint source pollution under uncertainty, Journal of Hydrology, Volume 557, Pages 713-725, https://doi.org/10.1016/j.jhydrol.2017.12.067 DOI: https://doi.org/10.1016/j.jhydrol.2017.12.067
Yonglong Lu et al, (2018), Major threats of pollution and climate change to global coastal ecosystems and enhanced management for sustainability, Environmental Pollution, Volume 239, Pages 670-680, https://doi.org/10.1016/j.envpol.2018.04.016 DOI: https://doi.org/10.1016/j.envpol.2018.04.016