Method and technology for monitoring and forecasting the atmospheric air condition by means of universal information-measuring system with the applicatin of mobile devices

Authors

  • Vitalii Mokin Vinnytsia National Technical University.
  • Dmytro Dziuniak Vinnytsia National Technical University.
  • Konstiantyn Bondaletov Vinnytsia City Council
  • Valentina Oleynik Vinnytsia National Technical University.

Keywords:

ecological monitoring, atmospheric air, motor transport, information-measuring system, mobile devices, GIS, Vinnytsia

Abstract

The paper considers urgent problem of monitoring and prediction of the atmospheric air condition in the city, where the main factor of pollution is motor vehicle emissions on the highways. The developed new method and technology for solving this problem are based on the application of a universal information-measuring system, built on the basis of mobile devices for monitoring and controlling the atmospheric air condition and the sources of its pollution. An experiment to test this technology, conducted in the streets of Vinnytsia, has confirmed its efficiency. 

Author Biographies

Vitalii Mokin, Vinnytsia National Technical University.

Dc. Sc. (Eng.), Prof., Head of the Department of Computer-aided Economic and Ecological Monitoring and Engineering Graphics

Dmytro Dziuniak, Vinnytsia National Technical University.

Post-graduate student of the Department of Computer-aided Economic and Ecological Monitoring and Engineering Graphics

Konstiantyn Bondaletov, Vinnytsia City Council

Software engineer of the Information Technologies Department

Valentina Oleynik, Vinnytsia National Technical University.

Student of the Institute of the Environmental Safety and Monitoring

References

1. Моніторинг довкілля: підручник / [Боголюбов В. М., Клименко М. О., Мокін В. Б. та ін.] ; під ред.
В. М. Боголюбова. –- [2-е вид., перероб. і доп.]. – Вінниця : ВНТУ, 2010. – 232 с.
2. Mendez D. P-Sense: A participatory sensing system for air pollution monitoring and control / D. Mendez, A. J. Perez, M. A. Labrador, J. J. Marron // Pervasive Computing and Communications Workshops. 2011. – P. 344 – 347.
3. Chaudhryl V. Arduair: Air Quality Monitoring / V. Chaudhryl // International Journal of Environmental Engineering and Management. – 2013. - Volume 4, Number 6. – P. 639 – 646.
4. Peter F. Nelson. Using computer modelling to simulate atmospheric movement and potential risk of pollutants from post-combustion carbon capture projects / Peter F. Nelson, Ye Wo // Energy procedia (63). – November, 2014. – P. 976 – 985.
5. Pelliccioni A. Air pollution model and neural network: An integrated modelling system / A. Pelliccioni, T. Tirabassi // Environmental Modelling & Software. – May, 2008. – Volume 21, Issue 4. – P. 539 – 546.
6. Бондалєтов К. О. Мобільна аналітична комп’ютерна система для оперативного моніторингу стану атмосферного повітря міста / К. О. Бондалєтов, Д. Ю. Дзюняк, В. Б. Мокін // Молодь в технічних науках: дослідження, проблеми, перспективи : матеріали Міжнародної науково-практичної Інтернет-конференції, 23-26 квітня 2015 року ВНТУ. – Вінниця. – 2015. – С. 76 – 77.

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Abstract views: 185

Published

2016-03-02

How to Cite

[1]
V. Mokin, D. Dziuniak, K. Bondaletov, and V. Oleynik, “Method and technology for monitoring and forecasting the atmospheric air condition by means of universal information-measuring system with the applicatin of mobile devices”, Works of VNTU, no. 4, Mar. 2016.

Issue

Section

Information Technologies and Computer Engineering

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