TY - JOUR
T1 - Quantifying and spatial disaggregation of air pollution emissions from ground transportation in a developing country context
T2 - Case study for the Lima Metropolitan Area in Peru
AU - Romero, Yovitza
AU - Chicchon, Norvic
AU - Duarte, Fabio
AU - Noel, Julien
AU - Ratti, Carlo
AU - Nyhan, Marguerite
N1 - Publisher Copyright:
© 2019
PY - 2020/1/1
Y1 - 2020/1/1
N2 - Ambient air pollution contributes approximately 3.7 million premature deaths annually worldwide with air pollution from ground transportation posing a significant threat in urban areas. This concern is especially relevant in cities with fast-growing economies in the developing countries, as is the case of Lima Metropolitan Area (LMA) in Peru. Currently, there is a limited understanding of the impacts of ground transportation emissions on air pollution and population health in the LMA. In this study we quantified air pollution emissions from ground transportation, by combining local transportation and meteorological data with emission factors determined by the United States Environmental Protection Agency's (US-EPA's) Motor Vehicle Emission Simulator (MOVES). Total annual emissions of carbon monoxide, nitrogen oxides, sulfur dioxide and particulate matter (PM2.5) were quantified, temporally resolved and then spatially disaggregated within the LMA study domain. Our study, therefore, provides an approach for quantifying transportation emissions for a large metropolitan area in a developing country where detailed data is not available. This research sets the need of future work aiming at understanding the impact of ground transportation emissions, air pollution levels and their subsequent effects on human health. Capsule: We provide a framework for computing and spatially disaggregating air pollution emissions from ground transportation in a rapidly growing economy in a developing country context.
AB - Ambient air pollution contributes approximately 3.7 million premature deaths annually worldwide with air pollution from ground transportation posing a significant threat in urban areas. This concern is especially relevant in cities with fast-growing economies in the developing countries, as is the case of Lima Metropolitan Area (LMA) in Peru. Currently, there is a limited understanding of the impacts of ground transportation emissions on air pollution and population health in the LMA. In this study we quantified air pollution emissions from ground transportation, by combining local transportation and meteorological data with emission factors determined by the United States Environmental Protection Agency's (US-EPA's) Motor Vehicle Emission Simulator (MOVES). Total annual emissions of carbon monoxide, nitrogen oxides, sulfur dioxide and particulate matter (PM2.5) were quantified, temporally resolved and then spatially disaggregated within the LMA study domain. Our study, therefore, provides an approach for quantifying transportation emissions for a large metropolitan area in a developing country where detailed data is not available. This research sets the need of future work aiming at understanding the impact of ground transportation emissions, air pollution levels and their subsequent effects on human health. Capsule: We provide a framework for computing and spatially disaggregating air pollution emissions from ground transportation in a rapidly growing economy in a developing country context.
KW - Air pollution
KW - Lima Metropolitan Area
KW - US-EPA MOVES
KW - Vehicle emission contributions
UR - http://www.scopus.com/inward/record.url?scp=85072053031&partnerID=8YFLogxK
U2 - 10.1016/j.scitotenv.2019.134313
DO - 10.1016/j.scitotenv.2019.134313
M3 - Article
C2 - 31783441
AN - SCOPUS:85072053031
SN - 0048-9697
VL - 698
JO - Science of the Total Environment
JF - Science of the Total Environment
M1 - 134313
ER -