Design of an Integrated System for Modeling of Functional Air Quality Index Integrated with Health-GIS Using Bayesian Ne
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RESEARCH ARTICLE
Design of an Integrated System for Modeling of Functional Air Quality Index Integrated with Health-GIS Using Bayesian Neural Network Mostafizur Rahaman Laskar1
•
Suman Chatterjee2
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Aniruddha Das3
Received: 29 July 2017 / Accepted: 6 November 2017 Indian Society of Remote Sensing 2017
Abstract Air pollution is a major problem, conscious both for health and surroundings. This is a novel approach for the design & development of a system for the monitoring of different air pollutants especially at remote places where it is difficult to install any conventional air quality monitoring stations as well as for the cities. In this research work, a framework of Functional air quality index which is an indicator of susceptibility to respiratory illness has been built using the Bayesian neural network to provide the random real-time data about a location through wireless communication. The monitoring system is integrated with different types of sensors to measure the level of different air pollutants or air quality parameters such as Suspended particulate matters, (PM2.5), Nitrogen dioxide, Sulphur dioxide, Ozone which are directly associated with airways inflammatory diseases such as Asthma, Bronchitis, COPD. Each location in Map (GPS) can be updated automatically with fAQI to the user through mobile computing and satellite commutation. The user gets information about the neighborhood location with health-related information such as- whether a particular location is sensitive to respiratory diseases such as Bronchitis, asthma, COPD etc. due to suspended allergen/pollutants in the ambient air. This novel approach is designed with its’ own prototype and an application of Inter of Things in Health GIS for the benefit of humanity. Keywords Ambient air quality monitoring Bayes network Wireless communication fAQI Health GIS
Introduction Outdoor air pollution is a serious problem especially in developing countries like India. In case of a developed nation like the USA, the ambient levels of many NAAQS (National Ambient Air Quality standard) pollutants have decreased, to a great extent as a result of public policy decisions made over the past 30 years. It is more severe in crowded urban and industrialized cities (Fig. 1 showing the temporal trends of major air pollutants for India). Economic growth and industrialization are taking place at a rapid & Mostafizur Rahaman Laskar [email protected] 1
G S School of Telecommunications, Indian Institute of Technology, Kharagpur, Kharagpur, India
2
Department of Geography, Jadavpur University, Kolkata, India
3
School of Oceanographic studies, Jadavpur University, Kolkata, India
speed as a result number of the pollution emission source are also increasing. The major consequence of air pollution on health is the risk of respiratory diseases. Air pollutants come in contact with the airways and lungs first and then the other organs of the body. Common respiratory diseases associated with the air pollution are Bronchitis, Asthma, COPD, and Emphysema. In
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