Articles | Volume 10, issue 9
https://doi.org/10.5194/amt-10-3313-2017
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

Enhancing Government Capacity for Air Quality Management in the Philippines through Geospatial Technologies: A Case of Project AiRMoVE
Roseanne Ramos, Ayin Tamondong, Rodyvito Angelo Torres, Bernadette Anne Recto, Katelene Panlilio, Raymund Rhommel Sta. Ana, Maria Louella Tinio, Teodora Yumul-Calzado, Bienvenido Carcellar III, and Mylene Cayetano
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-5-2024, 151–158, https://doi.org/10.5194/isprs-annals-X-5-2024-151-2024,https://doi.org/10.5194/isprs-annals-X-5-2024-151-2024, 2024
HOTSPOT ANALYSIS AND COMPARISON BETWEEN SATELLITE-DERIVED AEROSOL OPTICAL DEPTH AND GROUND-BASED PARTICULATE MATTER MEASUREMENTS IN METRO MANILA
B. A. B. Recto, R. A. B. Torres, R. V. Ramos, A. M. Tamondong, M. G. Cayetano, and B. J. D. Jiao
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W1-2022, 639–645, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-639-2023,https://doi.org/10.5194/isprs-annals-X-4-W1-2022-639-2023, 2023
ESTIMATING AIRBORNE PARTICULATE MATTER IN THE NATIONAL CAPITAL REGION, PHILIPPINES USING MULTIPLE LINEAR REGRESSION AND GRADIENT BOOSTING ALGORITHM ON MODIS MAIAC AEROSOL OPTICAL DEPTH
R. A. B. Torres, R. V. Ramos, B. A. B. Recto, A. M. Tamondong, B. J. D. Jiao, and M. G. Cayetano
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W1-2022, 729–736, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-729-2023,https://doi.org/10.5194/isprs-annals-X-4-W1-2022-729-2023, 2023
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
ALICENET – an Italian network of automated lidar ceilometers for four-dimensional aerosol monitoring: infrastructure, data processing, and applications
Annachiara Bellini, Henri Diémoz, Luca Di Liberto, Gian Paolo Gobbi, Alessandro Bracci, Ferdinando Pasqualini, and Francesca Barnaba
Atmos. Meas. Tech., 17, 6119–6144, https://doi.org/10.5194/amt-17-6119-2024,https://doi.org/10.5194/amt-17-6119-2024, 2024
Short summary
Post-process correction improves the accuracy of satellite PM2.5 retrievals
Andrea Porcheddu, Ville Kolehmainen, Timo Lähivaara, and Antti Lipponen
Atmos. Meas. Tech., 17, 5747–5764, https://doi.org/10.5194/amt-17-5747-2024,https://doi.org/10.5194/amt-17-5747-2024, 2024
Short summary
Increasing aerosol optical depth spatial and temporal availability by merging datasets from geostationary and sun-synchronous satellites
Pawan Gupta, Robert C. Levy, Shana Mattoo, Lorraine A. Remer, Zhaohui Zhang, Virginia Sawyer, Jennifer Wei, Sally Zhao, Min Oo, V. Praju Kiliyanpilakkil, and Xiaohua Pan
Atmos. Meas. Tech., 17, 5455–5476, https://doi.org/10.5194/amt-17-5455-2024,https://doi.org/10.5194/amt-17-5455-2024, 2024
Short summary
Multi-angle aerosol optical depth retrieval method based on improved surface reflectance
Lijuan Chen, Ren Wang, Ying Fei, Peng Fang, Yong Zha, and Haishan Chen
Atmos. Meas. Tech., 17, 4411–4424, https://doi.org/10.5194/amt-17-4411-2024,https://doi.org/10.5194/amt-17-4411-2024, 2024
Short summary
Comparison of diurnal aerosol products retrieved from combinations of micro-pulse lidar and sun photometer observations over the KAUST observation site
Anton Lopatin, Oleg Dubovik, Georgiy Stenchikov, Ellsworth J. Welton, Illia Shevchenko, David Fuertes, Marcos Herreras-Giralda, Tatsiana Lapyonok, and Alexander Smirnov
Atmos. Meas. Tech., 17, 4445–4470, https://doi.org/10.5194/amt-17-4445-2024,https://doi.org/10.5194/amt-17-4445-2024, 2024
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.