Prediction and validation of outcomes from air monitoring sensors and networks of sensors

Author

Lay-Ekuakille, A. ; Vergallo, P. ; Giannoccaro, N.I. ; Massaro, A. ; Caratelli, D.

Author_Institution

Dept. of Innovation Eng., Univ. of Salento, Lecce, Italy

fYear

2011

fDate

Nov. 28 2011-Dec. 1 2011

Firstpage

73

Lastpage

78

Abstract

Air monitoring plays a key role in measuring atmospheric pollutant concentrations in different locations of the same region or of distinct ones. This paper describes results of processing volatile organic compounds (VOCs) using an interesting genetic algorithm and also processing benzo(a)pyrene(BaP) data. Both pollutants are collected from a network of sensors located in an industrial area and in a city respectively.

Keywords

air pollution measurement; chemical variables measurement; computerised monitoring; distributed sensors; environmental monitoring (geophysics); environmental science computing; genetic algorithms; air monitoring sensor network; atmospheric pollutant concentration measurement; benzo(a)pyrene data; genetic algorithm; industrial area; volatile organic compound processing; Genetic algorithms; Heuristic algorithms; Intelligent sensors; Monitoring; Prediction algorithms; Wireless sensor networks; BaP; Sensor network; VOC; data processing; genetic algorithm; pollutant measurements;

fLanguage

English

Publisher

ieee

Conference_Titel

Sensing Technology (ICST), 2011 Fifth International Conference on

Conference_Location

Palmerston North

ISSN

2156-8065

Print_ISBN

978-1-4577-0168-9

Type

conf

DOI

10.1109/ICSensT.2011.6137072

Filename

6137072