
Proceedings Paper
Multispectral air pollution sensor to characterize of total suspended particulates (TSP) concentrationFormat | Member Price | Non-Member Price |
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Paper Abstract
The atmosphere surrounding earth surface plays an important role in the daily life of human beings. Total suspended
particulates (TSP) found in the atmosphere are made up of many compounds including soil, nitrate, sulphate, soot and
organic carbon. In this study, an optical sensor has been designed and developed for measuring TSP concentrations in
air. Our aim is to measure TSP concentrations in polluted air by using a newly developed optical sensor. The developed
spectral sensor was based on the measured radiation transmitted through the air samples. Three pairs of visible LEDs and
photodiodes are used as sensing emitters and detectors respectively. The transmitted radiation was measured in terms of
the output voltage of the photodetector of the sensor system. A new multispectral algorithm has been developed to
correlate TSP concentrations and the transmitted radiation. The newly developed system produced a high degree of
accuracy with the correlation coefficient of 0.999 and the root-mean-square error of 5.535mg/l. The TSP concentration
can be measured and monitored accurately using this sensor.
Paper Details
Date Published: 11 May 2009
PDF: 5 pages
Proc. SPIE 7336, Signal Processing, Sensor Fusion, and Target Recognition XVIII, 73361O (11 May 2009); doi: 10.1117/12.820306
Published in SPIE Proceedings Vol. 7336:
Signal Processing, Sensor Fusion, and Target Recognition XVIII
Ivan Kadar, Editor(s)
PDF: 5 pages
Proc. SPIE 7336, Signal Processing, Sensor Fusion, and Target Recognition XVIII, 73361O (11 May 2009); doi: 10.1117/12.820306
Show Author Affiliations
S. G. Daraigan, Univ. Sains Malaysia (Malaysia)
Hadhramout Univ. of Science and Technology (Yemen)
M. Z. MatJafri, Univ. Sains Malaysia (Malaysia)
K. Abdullah, Univ. Sains Malaysia (Malaysia)
Hadhramout Univ. of Science and Technology (Yemen)
M. Z. MatJafri, Univ. Sains Malaysia (Malaysia)
K. Abdullah, Univ. Sains Malaysia (Malaysia)
Published in SPIE Proceedings Vol. 7336:
Signal Processing, Sensor Fusion, and Target Recognition XVIII
Ivan Kadar, Editor(s)
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