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

Journal metrics

Journal metrics

  • IF value: 3.668 IF 3.668
  • IF 5-year value: 3.707 IF 5-year
    3.707
  • CiteScore value: 6.3 CiteScore
    6.3
  • SNIP value: 1.383 SNIP 1.383
  • IPP value: 3.75 IPP 3.75
  • SJR value: 1.525 SJR 1.525
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 77 Scimago H
    index 77
  • h5-index value: 49 h5-index 49
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

Viewed

Total article views: 1,376 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
837 494 45 1,376 146 45 62
  • HTML: 837
  • PDF: 494
  • XML: 45
  • Total: 1,376
  • Supplement: 146
  • BibTeX: 45
  • EndNote: 62
Views and downloads (calculated since 24 Mar 2017)
Cumulative views and downloads (calculated since 24 Mar 2017)

Viewed (geographical distribution)

Total article views: 1,367 (including HTML, PDF, and XML) Thereof 1,358 with geography defined and 9 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

No saved metrics found.

Saved (preprint)

No saved metrics found.

Discussed (final revised paper)

No discussed metrics found.

Discussed (preprint)

No discussed metrics found.
Latest update: 09 Jul 2020
Publications Copernicus
Download
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...
Citation