Model characterization in measurements of environmental pollutants via data correlation of sensor outputs

Author

Andria, Gregorio ; Cavone, Giuseppe ; Lecce, Vincenzo Di ; Lanzolla, Anna Maria Lucia

Author_Institution

Dept. of Electrics & Electron., Polytech. of Bari, Italy

Volume

54

Issue

3

fYear

2005

fDate

6/1/2005 12:00:00 AM

Firstpage

1061

Lastpage

1066

Abstract

The aim of this paper is to develop a simple air pollutant model for the analysis and the characterization of environmental data, acquired by means of multisensor monitoring system and elaborated by suitable software agents. Modeling is basically important in order to validate measured data and to forecast the time-varying behavior of contaminating substances. The proposed model is initially based on the individuation of possible correlations existing between some pollutants. Afterward, to increase the accuracy of estimated values, the influence of meteorological quantities is taken into account to improve significantly the so-obtained model. Finally, some information about reliability degree of estimate is provided.

Keywords

air pollution measurement; environmental science computing; sensor fusion; software agents; environmental pollutant measurement; multisensor monitoring system; sensor data correlation; simple air pollutant model; software agents; Air pollution; Atmospheric measurements; Humans; Law; Meteorology; Monitoring; Pollution measurement; Predictive models; Sensor phenomena and characterization; Weather forecasting; Analysis of correlations; mathematical models; measurement of environmental quantities; meteorological conditions; sensors of environmental pollutants;

fLanguage

English

Journal_Title

Instrumentation and Measurement, IEEE Transactions on

Publisher

ieee

ISSN

0018-9456

Type

jour

DOI

10.1109/TIM.2005.847140

Filename

1433177