A Review on Urban Air Pollution Monitoring System with Forecasting Model

Authors

  • Roshni Jeswani  Student, Electronics and Communication, RTMNU, ACET, Nagpur, Maharashtra, India
  • Mohd. Tahseenul Hasan  Assistant Professor, Electronics and Telecommunication, RTMNU, ACET, Nagpur, Maharashtra, India

Keywords:

Air pollution monitoring system, forecasting, machine learning approach.

Abstract

In this paper the system for monitoring and forecasting urban air pollution is presented. The system uses low-cost air-quality monitoring motes that are equipped with an array of gaseous and meteorological sensors. These mote wirelessly communicate to an intelligent sensing platform that consists of several modules. These modules are responsible for receiving and storing the data, preprocessing and converting the data into useful information, forecasting the pollutants based on historical information, and finally presenting the acquired information through different channels, such a mobile application, Web portal, and short message service. This paper focus is on the monitoring system and its forecasting module. Three machine learning (ML) algorithms are investigated to build accurate forecasting models for one-step and multi-step ahead of concentrations of ground-level ozone (O3), nitrogen di oxide (NO2), and sulfur dioxide (SO2), carbon dioxide (CO2). Rapid urbanization and industrialization has result in a sustained degradation of environmental quality parameters. It is important to keep track of various environmental pollution indices so that realistic models can be developed and relevant public policies can be created. Traditional methods for air pollution measurement are expensive and have a spatial constraint. With these limitations, air pollution monitoring broader area is not feasible. We used the modern low-cost sensors in conjunction with wireless sensor network (WAN) creates an opportunity to collect real time data from different locations and provide detailed pollution map. The main aim of this project is to develop a low cost multi-sensor node for air pollution measurement. The outcome of this paper can be significantly useful for alarming applications in areas with high air pollution levels.

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International Journal of Scientific Research in Science and Technology

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Published

2018-01-30

Issue

Volume 4, Issue 3, January-February-2018

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Roshni Jeswani, Mohd. Tahseenul Hasan, " A Review on Urban Air Pollution Monitoring System with Forecasting Model, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 4, Issue 3, pp.522-528, January-February-2018.