Abstract
This research aims at developing a cost-effective and real time air pollution monitoring system with high reliability and less maintenance that utilizes numerical and air dispersion modeling in conjunction with inexpensive, state-of-the-art gas sensors, remote sensing methodologies, and Internet GIS. Conventional pollution detectors, installed by the Bangkok Pollution Control Department and WO3 sensors are employed for in-situ pollution measurements. The data obtained from the satellites sensors and measurements conducted on ground are used for numerical modeling by “Multiple Regressions” and for air dispersion modeling to investigate air pollutants distribution. The correlation and distribution of the air pollutants values are transferred to wireless GIS network system using Web Map Service for rapid and simultaneous dissemination of information on pollution levels at multiple sites.
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Pummakarnchana, O., Phonekeo, V., Vaseashta, A. (2008). Semiconducting Gas Sensors, Remote Sensing Technique and Internet GIS for Air Pollution Monitoring in Residential and Industrial Areas. In: Vaseashta, A., Mihailescu, I.N. (eds) Functionalized Nanoscale Materials, Devices and Systems. NATO Science for Peace and Security Series B: Physics and Biophysics. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8903-9_28
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DOI: https://doi.org/10.1007/978-1-4020-8903-9_28
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-8902-2
Online ISBN: 978-1-4020-8903-9
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