Articles | Volume 10, issue 9
Atmos. Meas. Tech., 10, 3313–3323, 2017
https://doi.org/10.5194/amt-10-3313-2017
Atmos. Meas. Tech., 10, 3313–3323, 2017
https://doi.org/10.5194/amt-10-3313-2017

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

Related authors

Seasonal variation and chemical characterization of PM2.5 in northwestern Philippines
Gerry Bagtasa, Mylene G. Cayetano, and Chung-Shin Yuan
Atmos. Chem. Phys., 18, 4965–4980, https://doi.org/10.5194/acp-18-4965-2018,https://doi.org/10.5194/acp-18-4965-2018, 2018
Short summary

Related subject area

Subject: Aerosols | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
Simulated reflectance above snow constrained by airborne measurements of solar radiation: implications for the snow grain morphology in the Arctic
Soheila Jafariserajehlou, Vladimir V. Rozanov, Marco Vountas, Charles K. Gatebe, and John P. Burrows
Atmos. Meas. Tech., 14, 369–389, https://doi.org/10.5194/amt-14-369-2021,https://doi.org/10.5194/amt-14-369-2021, 2021
Short summary
ModIs Dust AeroSol (MIDAS): a global fine-resolution dust optical depth data set
Antonis Gkikas, Emmanouil Proestakis, Vassilis Amiridis, Stelios Kazadzis, Enza Di Tomaso, Alexandra Tsekeri, Eleni Marinou, Nikos Hatzianastassiou, and Carlos Pérez García-Pando
Atmos. Meas. Tech., 14, 309–334, https://doi.org/10.5194/amt-14-309-2021,https://doi.org/10.5194/amt-14-309-2021, 2021
Short summary
Integrated System for Atmospheric Boundary Layer Height Estimation (ISABLE) using a ceilometer and microwave radiometer
Jae-Sik Min, Moon-Soo Park, Jung-Hoon Chae, and Minsoo Kang
Atmos. Meas. Tech., 13, 6965–6987, https://doi.org/10.5194/amt-13-6965-2020,https://doi.org/10.5194/amt-13-6965-2020, 2020
Short summary
Effects of clouds on the UV Absorbing Aerosol Index from TROPOMI
Maurits L. Kooreman, Piet Stammes, Victor Trees, Maarten Sneep, L. Gijsbert Tilstra, Martin de Graaf, Deborah C. Stein Zweers, Ping Wang, Olaf N. E. Tuinder, and J. Pepijn Veefkind
Atmos. Meas. Tech., 13, 6407–6426, https://doi.org/10.5194/amt-13-6407-2020,https://doi.org/10.5194/amt-13-6407-2020, 2020
Short summary
Correction of a lunar-irradiance model for aerosol optical depth retrieval and comparison with a star photometer
Roberto Román, Ramiro González, Carlos Toledano, África Barreto, Daniel Pérez-Ramírez, Jose A. Benavent-Oltra, Francisco J. Olmo, Victoria E. Cachorro, Lucas Alados-Arboledas, and Ángel M. de Frutos
Atmos. Meas. Tech., 13, 6293–6310, https://doi.org/10.5194/amt-13-6293-2020,https://doi.org/10.5194/amt-13-6293-2020, 2020
Short summary

Cited articles

Ahanchian, M. and Biona, J.: Energy demand, emissions forecasts and mitigation strategies modeled over a medium-range horizon: the case of the land transportation sector in Metro Manila, Energ. Policy, 66, 615–629, https://doi.org/10.1016/j.enpol.2013.11.026, 2014.
Andrade, M., de Miranda, R. M., Fornaro, A., Kerr, A., Oyama, B., de Andre, P., and Saldiva, P.: Vehicle emissions and PM2. 5 mass concentrations in six Brazilian cities, Air. Qual. Atmos. Health., 5, 79–88, https://doi.org/10.1007/s11869-010-0104-5, 2012.
Bakker, R., Elbersen, W., Poppens, R., and Lesschen, J. P.: Rice straw and wheat straw: potential feedstocks for the biobased economy, Wageningen UR, Food & Biobased Research, NL Agency, 2013.
Bocchi, C., Bazzini, C., Fontana, F., Pinto, G., Martino, A., and Cassoni, F.: Characterization of urban aerosol: seasonal variation of mutagenicity and genotoxicity of PM2. 5, PM1 and semi-volatile organic compounds, Mutat. Res., 809, 16–23, https://doi.org/10.1016/j.mrgentox.2016.07.007, 2016.
Cassidy, B., Alabanza-Akers, M., Akers, T., Hall, D., Ryan, P., Bayer, C., and Naeher, L.: Particulate matter and carbon monoxide multiple regression models using environmental characteristics in a high diesel-use area of Baguio City, Philippines, Sci. Total. Environ., 381, 47–58, https://doi.org/10.1016/j.scitotenv.2007.03.010, 2007.
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.