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Elevate: Autonomous Pollution Surveillance System

Aanand Vardhan, Aashish Sharma, Anuradha Anuradha, Kavita Khanna

Abstract


Epidemiological studies have shown that a close association is found between elevated air pollution levels and exacerbating cases of cardiovascular and respiratory diseases among older people and kids. Moreover, the presence of fine particulate in air makes it un-healthy to breathe which leads to lung cancer and cardiopulmonary mortality. Thus, in order to deploy effective air pollution control strategies, it is necessary to keep track of air quality levels throughout the day. The technology enabled solutions are required to collect and analyze air quality.

In this research article, a novel hardware named “Elevate” has been proposed with aim to monitor air quality over a period of time. Basically, it is a drone model capable of capturing and analyzing air quality data.  It calculates the air quality index with precision and clarity over real air data. From our study, it has been found that the proposed hardware model is able to deal with volumetric air data and it shows changing patterns of air quality throughout the day.


Keywords


Drone Surveillance, Air Quality Monitoring, PM2.5, CO2 PPM Level, MQ135 Gas Sensor, GP2Y1010AU0F Compact Optical Dust Sensor and ADS1115 Analog to Digital Converter.

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References


L Filleul1, V Rondeau, “Twenty five year mortality and air pollution: results from the French PAARC survey, BMJ journal, Occupational and environmental medicine, vol. 62, issue. 7, 2005, pp. 453-460.

Webpage: http://cpcb.nic.in/cpcbold/AQI_NAMP_Rep_Mar2016.pdf, accessed on March 2016.

Meredith Franklin, Ariana Zeka & Joel Schwartz, “Association between PM2.5 and all-cause and specific-cause mortality in 27 US communities, Journal of Exposure Science and Environmental Epidemiology, 2007, vol. 17, issue 3, pp. 279-287.

Webpage: https://www.stateofglobalair.org/, accessed on Jan 2018.

Kirk R.Smith, A.L.Aggarwal and R.M.Dave, “Air pollution and rural biomass fuels in developing countries: A pilot village study in India and implications for research and policy”, Atmospheric Environment, vol. 11, issue 11, 1983, pp. 2343-2362.

Webpage: https://www.cbsnews.com/pictures/the-most-polluted-cities-in-the-world-ranked/, accessed on Jan 2018.

C. Arden Pope III, Douglas W. Dockery, “Health Effects of Fine Particulate Air Pollution: Lines that Connect”, Journal of the Air & Waste Management Association, vol. 56, no. 6, 2006, pp. 709-742.

C. Arden Pope III, Richard T. Burnett and Michael J. Thun, “Lung Cancer, Cardiopulmonary Mortality, and Long-term Exposure to Fine Particulate Air Pollution”, JAMA, vol. 287, no. 9, 2002, pp. 1132-1141.

Webpage: https://www.cbsnews.com/pictures/the-most-polluted-cities-in-the-world-ranked/, accessed on April 2017.

Webpage: http://www.dnaindia.com/delhi/report-delhi-govt-to-set-up-20-pollution-monitoring-stations-2277656, accessed on March 2018.

Webpage: https://dir.indiamart.com/delhi/air-quality-monitors.html, accessed on April 2018.

Tommaso Francesco Villa, Felipe Gonzalez, Branka Miljievic, Zoran D. Ristovski and Lidia Morawska, “An Overview of Small Unmanned Aerial Vehicles for Air Quality Measurements: Present Applications and Future Prospectives”, Sensors, vol. 16, no. 7, pp. 1072, 2016.

Miguel Alvarado, Felipe Gonzalez, Andrew Fletcher and Ashray Doshi, “Towards the Development of a Low Cost Airborne Sensing System to Monitor Dust Particles after Blasting at Open-Pit Mine Sites”, Sensors, vol. 15, no. 8, pp. 19667-19687.

James P. Grinias, Jason T. Whitfield, Erik D. Guetschow and Robert T. Kennedy, “An Inexpensive, Open-Source USB Arduino Data Acquisition Device for Chemical

Webpage: https://www.sparkfun.com/products/9689, accessed on Dec 2017.

Webpage: https://www.raspberrypi.org/products/, accessed on June 2017.


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