A Smart Air Pollution Analytics Framework

Air pollution which is the worst environmental health risk across the world takes millions of lives every year both in developing and developed countries. These huge premature deaths happen due to long-term exposure to air pollutants as most of the cities

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Abstract Air pollution which is the worst environmental health risk across the world takes millions of lives every year both in developing and developed countries. These huge premature deaths happen due to long-term exposure to air pollutants as most of the cities do not meet the acceptable pollution level suggested by World Health Organization (WHO). So there is an urgent need to reduce the air pollution level across the globe. This paper proposes a state-of-the-art approach and proposes a layered air pollution reduction framework. The methodology of the proposed framework also suggests the action plans to reduce air pollution level with an innovative Rule Base and mining appropriate data from the huge dataset which is basically a data warehouse. It also discusses the expected outcome of the proposed framework beneficial to the citizens.



Keywords Predictive analysis Air pollution warehouse Knowledge discovery



 Action plan  Data mining  Data

1 Introduction Air pollution is basically contaminated air includes NO2, SPM, photochemical oxidant, sulfur dioxide, carbon monoxide, and fine particulate matter are vulnerable to public health [1]. The major sources of air pollution include traffic sector, industrial domain, power plants, and fossil fuel burning. People who live in the polluted areas have increased risk of various heart and acute respiratory diseases, lung cancer, and other chronic problems which cause huge premature deaths, especially in developing countries [2, 3]. A. Desarkar  A. Das (&) Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Kolkata Campus, Kolkata 700107, India e-mail: [email protected] A. Desarkar e-mail: [email protected] © Springer Nature Singapore Pte Ltd. 2018 D.K. Mishra et al. (eds.), Information and Communication Technology, Advances in Intelligent Systems and Computing 625, https://doi.org/10.1007/978-981-10-5508-9_19

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The Central Pollution Control Board of India has taken up an initiative named NAQMP which stands for National Air Quality Monitoring Program. NAQMP takes into consideration 341 stations across 126 cities/towns and 4 union territories in India including Kolkata [4, 5]. In all of these locations, the amount of sulfur dioxide (SO2), oxides of nitrogen (NO2, etc.), suspended particulate matter (SPM), and respirable suspended particulate matter (RSPM/PM10) are regularly monitored. The monitoring is done continuously for 24 h in a frequency of twice a week, to have around 104 observations on a yearly basis. This monitoring is being carried out in association with SPCBs, National Environmental Engineering Research Institute (NEERI), Nagpur, etc. [6, 7]. The US Consulate General has set up an air pollution monitoring system in Park Street, Kolkata [8]. The data obtained from this monitoring system is displayed in raw concentrations only but this data is yet to be converted to an air quality index (AQI) [6, 9]. The major objective of this paper is to monitor air pollution level in Met