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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union

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doi:10.5194/amt-2017-14
© Author(s) 2017. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research article
24 Mar 2017
Review status
This discussion paper is under review for the journal Atmospheric Measurement Techniques (AMT).
Spatial estimation of air PM2.5 emissions using activity data, local emission factors and land cover derived from satellite imagery
Hezron P. Gibe and Mylene G. Cayetano Institute of Environmental Science, University of the Philippines, Diliman, Quezon City, Philippines
Abstract. Exposure to air particulate matter (APM) is a presently relevant issue that affects the environment and the health of residents of many urban areas globally. In the Philippines, most existing studies and emission inventories have mainly focused on point and mobile sources, while research involving personal exposures to particulate pollutants is mostly lacking. This paper presents a method for estimating the amount fine (PM2.5) particulate emissions in a test study site in Cabanatuan City, Nueva Ecija in the Philippines by utilizing local emission factors, regionally procured data and land cover/land use (activity data) interpreted from satellite imagery. The estimated emissions have been mapped using geographic information systems (GIS) software. Results suggest that vehicular emissions from motorcycles and tricycles, as well as biomass-based household fuels (charcoal) and burning of agricultural waste largely contribute to PM2.5 emissions in Cabanatuan City. Overall, the method used in this study can be applied to any study site, as long as on-site specific activity data, emission factor and satellite-imaged land cover are available.

Citation: Gibe, H. P. and Cayetano, M. G.: Spatial estimation of air PM2.5 emissions using activity data, local emission factors and land cover derived from satellite imagery, Atmos. Meas. Tech. Discuss., doi:10.5194/amt-2017-14, in review, 2017.
Hezron P. Gibe and Mylene G. Cayetano
Hezron P. Gibe and Mylene G. Cayetano
Hezron P. Gibe and Mylene G. Cayetano

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Short summary
This paper presents a low-technical method of estimating particulate air pollution in small cities, using Cabanatuan City, Philippines as a test site, intended for use by personnel requiring minimal training in geospatial methods and GIS, for the purpose of aiding air pollution emission inventories. This method utilizes local emission data and land cover derived from Google Earth satellite images. Results in the study site suggest high emissions from vehicular sources and rice straw burning.
This paper presents a low-technical method of estimating particulate air pollution in small...
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