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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Volume 10, issue 9
Atmos. Meas. Tech., 10, 3313–3323, 2017
https://doi.org/10.5194/amt-10-3313-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Meas. Tech., 10, 3313–3323, 2017
https://doi.org/10.5194/amt-10-3313-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 11 Sep 2017

Research article | 11 Sep 2017

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
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Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Hezron Gibe on behalf of the Authors (24 Jun 2017)  Author's response    Manuscript
ED: Publish subject to minor revisions (Editor review) (07 Jul 2017) by Marloes Gutenstein-Penning de Vries
AR by Hezron Gibe on behalf of the Authors (17 Jul 2017)  Author's response    Manuscript
ED: Publish as is (20 Jul 2017) by Marloes Gutenstein-Penning de Vries
AR by Hezron Gibe on behalf of the Authors (29 Jul 2017)  Author's response    Manuscript
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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 the study site, intended for use by stakeholders requiring minimal training in geospatial methods and GIS, for expediting 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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