@Article{TeixeiraFreiCorrManz:2018:DeBoMo,
author = "Teixeira, Paulo Ricardo and Freitas, Saulo Ribeiro de and Correia,
Francis Wagner and Manzi, Antonio Ocimar",
affiliation = "{Instituto Nacional de Pesquisas da Amaz{\^o}nia (INPA)} and
{NASA Goddard Space Flight Center} and {Universidade Estadual da
Amaz{\^o}nia (UEA)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)}",
title = "MOVEIM v1.0: development of a bottom-up motor vehicular emission
inventories for the urban area of Manaus in central Amazon
rainforest",
journal = "Geoscientific Model Development Discussions",
year = "2018",
volume = "81",
keywords = "Vehicle emission inventories, bottom-up approach, urban air
pollution, Amazon forest.",
abstract = "Emissions of gases and particulates in urban areas are associated
with a mixture of various sources , both natural and
anthropogenic. Understanding and quantifying these emissions is
necessary in studies of climate change, local air pollution issues
and weather modification. Studies have highlighted that the
transport sector is key to closing the worlds emissions gap.
Vehicles contribute substantially with the emission of carbon
dioxide (CO2), carbon monoxide (CO), nitrogen oxides (NOx),
nonmethane hydrocarbon (NMHC), particulate matter (PM), methane
(CH4), hydrofluorocarbon (HFC) and nitrous oxide (N2O). Several
studies show that vehicle emission inventories are an important
approach to providing a baseline estimate of on-road emissions in
several scales, mainly in urban areas. This approach is essential
to areas with incomplete or non-existent monitoring networks as
well as for air quality models. Conversely, the direct downscale
of global emission inventories in chemical transport and air
quality models may not be able to reproduce the observed evolution
of atmospheric pollution processes at finer spatial scales. To
address this caveat, we developed a bottom-up vehicular emission
inventory along the 258 main traffic routes from Manaus, based on
local vehicle fleet data and emission factors (EFs). The results
show that the light vehicles are responsible for the largest
fraction of the pollutants, contributing 2.6, 0.87, 0.32, 0.03,
456 and 0.8 ton/h of CO, NOx, CH4, PM, CO2 and NMHC, respectively.
Including the emissions of motorcycles, buses and trucks, our
total estimation of the emissions is 4.1, 1.0, 0.37, 0.07, 63.5
and 2.56 ton/h, respectively. We also noted that light vehicles
accounted for about 62.8%, 84.7%, 87.9%, 45.1%, 71.8%, and 33.9%
and motorcycles in the order of 32.3 %, 6.5 %, 12.1 %, 6.2 %, 14.8
%, 8.7 %, respectively. Nevertheless, we can highlight the bus
emissions which are around 35.7% and 45.3 % for NMHC and PM. Our
results indicate a better distribution over the domain reflecting
the influences of standard behavior of traffic distribution per
vehicle category. Finally, this inventory provides more detailed
information to improving the current understanding of how vehicle
emissions contribute to the ambient pollutant concentrations in
Manaus and their impacts on regional climate changes. This work
will also contribute to improved air quality numerical
simulations, provide more accurate scenarios for policymakers and
regulatory agencies to develop strategies for controlling the
vehicular emissions, and, consequently, mitigate associated
impacts on local and regional scales of the Amazon ecosystems.",
doi = "10.5194/gmd-2018-81",
url = "http://dx.doi.org/10.5194/gmd-2018-81",
issn = "1991-962X and 1991-9611",
language = "en",
targetfile = "teixeira_moveim.pdf",
urlaccessdate = "27 abr. 2024"
}