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	title={Applied spatial data analysis with R},
	author={Bivand, R.S. and Pebesma, E.J and Gomez-Rubio, Virgilio},
	year={2013},
	publisher={Springer, NY},
	url={http://www.asdar-book.org/},
}

@article{remi,
	title = {High resolution emissions inventory for the Metropolitan Area of Sao Paulo},
	author = {Sergio Ibarra-Espinosa and Rita Ynoue and Seaghan Mhartain},
	journal = {Atmospheric Environment},
	year = {2017},
	note = {Manuscript in revision},
}
@misc{wikixx1,
 author = "Wikipedia",
 title = "R (programming language) --- Wikipedia{,} The Free Encyclopedia",
 year = "2017",
 url = "https://en.wikipedia.org/w/index.php?title=R_(programming_language)&oldid=758587156",
 note = "[Online; accessed 6-January-2017]"
 }
@article{leiner1997past,
	title={The past and future history of the Internet},
	author={Leiner, Barry M and Cerf, Vinton G and Clark, David D and Kahn, Robert E and Kleinrock, Leonard and Lynch, Daniel C and Postel, Jon and Roberts, Lawrence G and Wolff, Stephen S},
	journal={Communications of the ACM},
	volume={40},
	number={2},
	pages={102--108},
	year={1997},
	publisher={ACM}
}
@misc{DENATRAN2014,
	author = "Denatran",
	title = "Frota Nacional (2016)",
	year = "2016",
	note = "\urlstyle{rm}\url{http://www.denatran.gov.br/frota2014.htm}"
}
@misc{IBGE2014,
	author = "IBGE",
	title = "Instituto Brasileiro de Geografia e Estatística -- Población estimada 2014",
	year = "2014",
	note = "\urlstyle{rm}\url{http://cod.ibge.gov.br/232IH}; accessed 12-December-2014"
}


@article{SanchezCcoyllo2006552,
	title = "Impacts of ozone precursor limitation and meteorological variables on ozone concentration in São Paulo, Brazil ",
	journal = "Atmospheric Environment ",
	volume = "40, Supplement 2",
	number = "0",
	pages = "552 - 562",
	year = "2006",
	note = "Particulate Matter Supersites Program and Related Studies Particulate Matter Supersites Program and Related Studies ",
	issn = "1352-2310",
	doi = "http://dx.doi.org/10.1016/j.atmosenv.2006.04.069",
	url = "http://www.sciencedirect.com/science/article/pii/S1352231006006030",
	author = "Odón R. Sánchez-Ccoyllo and Rita Yuri Ynoue and Leila Droprinchinski Martins and Maria de Fátima Andrade",
	keywords = "Photochemical model",
	keywords = "Urban air pollution",
	keywords = "Emission inventory",
	keywords = "Meteorological sensitivity",
	keywords = "RHC/NOx limitation ",
	abstract = "Ozone concentrations in the heavily polluted metropolitan area of São Paulo (MASP), in Brazil, frequently exceed established international standards. This study aims to describe the impact that three meteorological variables (mixing height, wind speed and air temperature) on the ozone concentration, as well as reactive hydrocarbon (RHC) limitation and nitrogen oxide (NOx) limitation, have on ozone formation in the area. To achieve these objectives the California Institute of Technology (CIT) Eulerian air quality model was applied combined with the same methodology described in Baertsch-Ritter et al. [2004. Atmospheric Chemistry and Physics 4, 423–438] In addition, \{NOx\} and \{RHC\} emission inventory reductions were used to evaluate their sensitivities in the \{CIT\} model. A simulation of an episode occurring in the \{MASP\} on 22 August 2000, when a peak ozone level of 127&#xa0;ppbv was recorded, is presented. In the \{CIT\} model results for the base case, primary pollutant concentrations and ozone concentrations are in good agreement with the measured data. In addition, changes in mixing height, wind speed and air temperature input files have the greatest effect on peak ozone in the MASP, and the isolated effect of \{RHC\} emission inventory reduction leads to 26\% lower ozone levels than in the base case. Based on the results of this study, we can conclude that with reduction of \{RHC\} emission could provide the best scenario for promoting lower ozone concentrations in the MASP. "
}
@misc{CETESB2013,
	author = "CETESB",
	title = "Emissões Veiculares no Estado de São Paulo",
	year = "2012",
	note = "\urlstyle{rm}\url{http://veicular.cetesb.sp.gov.br/relatorios-e-publicacoes/}"
}

@misc{CETESB2012,
	author = "CETESB",
	title = "Qualidade do ar no Estado de São Paulo",
	year = "2013",
}
@misc{MMA,
	author = "MMA",
	title = "Primeiro Inventário Nacional de Emissões Atmosféricas por Veículos Automotores Rodoviários",
	year = "2011",
	note = "\urlstyle{rm}\url{http://www.mma.gov.br/estruturas/163/_publicacao/163_publicacao27072011055200.pdf}"
}

@article{Andrade2012,
	title={Vehicle emissions and PM2. 5 mass concentrations in six Brazilian cities},
	author={ Andrade, Maria de Fatima and de Miranda, Regina Maura and Fornaro, Adalgiza and Kerr, Americo and Oyama, Beatriz and de Andre, Paulo Afonso and Saldiva, Paulo},
	journal={Air Quality, Atmosphere \& Health},
	volume={5},
	number={1},
	pages={79--88},
	year={2012},
	publisher={Springer}
}
@article{BOIAN2012,
	title = {Characterization of ozone transport among metropolitan regions},
	journal = {Revista Brasileira de Meteorologia},
	author={Boian, Cl\\~a!`udia AND Andrade, Maria de F\\~a!`tima},
	ISSN = {0102-7786},
	language = {en},
	URL = {http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862012000200009&nrm=iso},
	volume = {27},
	year = {2012},
	month = {07},
	pages = {229 - 242},
	publisher = {scielo},
	crossref = {10.1590/S0102-77862012000200009}
}
@book{jacob1999,
	title={Introduction to atmospheric chemistry},
	author={Jacob, Daniel},
	year={1999},
	publisher={Princeton University Press}
}
@article{zhang2010,
	title={WRF/Chem-MADRID: Incorporation of an aerosol module into WRF/Chem and its initial application to the TexAQS2000 episode},
	author={Zhang, Yang and Pan, Ying and Wang, Kai and Fast, Jerome D and Grell, Georg A},
	journal={Journal of Geophysical Research: Atmospheres (1984--2012)},
	volume={115},
	number={D18},
	year={2010},
	publisher={Wiley Online Library}
}
@article{molina1974,
	title={Stratospheric sink for chlorofluoromethanes: chlorine atom-catalysed destruction of ozone},
	author={Molina, Mario J and Rowland, F Sherwood},
	journal={Nature},
	volume={249},
	number={5460},
	pages={810--12},
	year={1974}
}
@article{Seip,
	title = {Acid precipitation and other possible sources for acidification of rivers and lakes },
	journal = {Science of The Total Environment },
	volume = {10},
	number = {3},
	pages = {253 - 270},
	year = {1978},
	issn = {0048-9697},
    note = "",
	doi = {http://dx.doi.org/10.1016/0048-9697(78)90034-7},
	url = {http://www.sciencedirect.com/science/article/pii/0048969778900347},
	author = {H.M. Seip and A. Tollan},
	abstract = {The trends in the recent acidification of rivers and lakes in South Norway are reviewed, and the evidence for a causal relationship between acid precipitation and acidification of surface water is critically examined. Results from regional surveys, studies in small catchment areas and from percolation experiments are presented. Several sources may contribute to the acidification. However, changes in the composition of the precipitation during the recent decades, mainly because of increased combustion of fossil fuels, seem to be a dominant cause at least in some of the most affected areas. }
}
@article{Eliassen,
	title = {The oecd study of long range transport of air pollutants: Long range transport modelling },
	journal = {Atmospheric Environment (1967) },
	volume = {12},
	number = {1–3},
	pages = {479 - 487},
	year = {1978},
	note = {Proceedings of the International Symposium},
	issn = {0004-6981},
	doi = {http://dx.doi.org/10.1016/0004-6981(78)90230-5},
	author = {Anton Eliassen},
	abstract = {A Lagrangian-type model has been used to quantify long range transport of sulphur over Europe on an annual basis (1974). Basic model assumptions are discussed. Calculated concentrations of sulphur dioxide and paniculate sulphate are compared with observations. The agreement is variable for daily values, but better for annual averages. A sulphur dry deposition pattern for Europe for 1974 is estimated from the calculated annual mean concentration field. A corresponding wet deposition pattern is estimated by an indirect method, in which the annual mean concentration of sulphate in precipitation is approximated by calculated air concentrations of particulate sulphate. The estimated total amounts of dry and wet deposition within the area considered (9 M km2) are about 11 Mt and 6 Mt S respectively, as compared to a total emission of 20 Mt. }
}
@misc{oden1968,
	title={Nederb{\"o}rdens och luftens f{\"o}rsurning: dess orsaker, f{\"o}rlopp och verkan i olika milj{\"o}er},
	author={Od{\'e}n, Svante},
	year={1968},
	publisher={Ekologikommitt{\'e}n, Statens naturvetenskapliga forskningsr{\aa}d},
	note = {\urlstyle{rm}\url{http://www.diva-portal.org/smash/get/diva2:752669/FULLTEXT01.pdf}; accessed 11-December-2014}
}
@article{wettestad1999,
	title={Designing Effective environmental Regimes: The Case of The Convention on long-Range Transboundary Air Pollution (CLRTAP)},
	author={Wettestad, Jorgen},
	journal={Energy \& Environment},
	volume={10},
	number={6},
	pages={671--703},
	year={1999},
	publisher={Multi-Science}
}
@article{ipcc2014,
	title={IPCC Fifth Assessment Synthesis Report-Climate Change 2014 Synthesis Report},
	author={Allen, Myles R and Barros, Vicente R and Broome, John and Cramer, Wolfgang and Christ, Renate and Church, John A and Clarke, Leon and Dahe, Qin and Dasgupta, Purnamita and Dubash, Navroz K and others},
	year={2014},
	publisher={Intergovernmental Panel on Climate Change (IPCC)}
}
@article{olivier1996,
	title={Description of EDGAR Version 2.0: A set of global emission inventories of greenhouse gases and ozone-depleting substances for all anthropogenic and most natural sources on a per country basis and on 1 degree x 1 degree grid},
	author={Olivier, Johannes Gerardus Jozef and Bouwman, AF and Berdowski, JJM and Veldt, C and Bloos, JPJ and Visschedijk, AJH and Zandveld, PYJ and Haverlag, JL and others},
	year={1996},
	publisher={Rijksinstituut voor Volksgezondheid en Milieu RIVM}
}
@article{lamarque2010,
	title={Historical (1850--2000) gridded anthropogenic and biomass burning emissions of reactive gases and aerosols: methodology and application},
	author={Lamarque, J-F and Bond, Tami C and Eyring, Veronika and Granier, Claire and Heil, Angelika and Klimont, Z and Lee, D and Liousse, Catherine and Mieville, Aude and Owen, Bethan and others},
	journal={Atmospheric Chemistry and Physics},
	volume={10},
	number={15},
	pages={7017--7039},
	year={2010},
	publisher={Copernicus GmbH}
}
@article{copert,
	title={EMEP/EEA emission inventory guidebook; Road Transport: Passenger cars, Light commercial trucks, Heavy-duty vehicles including buses and Motorcycles},
	author={Ntziachristos, L and Samaras, Z},
	journal={European Environment Agency, Copenhagen},
	year={2016}
}
@article{wear,
	title={EMEP/EEA emission inventory guidebook; Road Transport: Automobile tyre and break wear and road abrasion},
	author={Ntziachristos, L and Boulter, P},
	journal={European Environment Agency, Copenhagen},
	year={2009}
}

@article{saide2009,
	title={Spatial disaggregation of traffic emission inventories in large cities using simplified top--down methods},
	author={Saide, P and Zah, R and Osses, M and Oss{\'e}s de Eicker, M},
	journal={Atmospheric Environment},
	volume={43},
	number={32},
	pages={4914--4923},
	year={2009},
	publisher={Elsevier}
}
@article{Eicker,
	title = "Spatial accuracy of a simplified disaggregation method for traffic emissions applied in seven mid-sized Chilean cities ",
	journal = "Atmospheric Environment ",
	volume = "42",
	number = "7",
	pages = "1491 - 1502",
	year = "2008",
	note = "",
	issn = "1352-2310",
	doi = "http://dx.doi.org/10.1016/j.atmosenv.2007.10.079",
	author = "Margarita Ossés de Eicker and Rainer Zah and Rubén Triviño and Hans Hurni",
	keywords = "Emission inventory map",
	keywords = "Traffic",
	keywords = "Spatial accuracy",
	keywords = "Top-down emission inventory",
	keywords = "Latin America ",
	abstract = "The spatial accuracy of top-down traffic emission inventory maps obtained with a simplified disaggregation method based on street density was assessed in seven mid-sized Chilean cities. Each top-down emission inventory map was compared against a reference, namely a more accurate bottom-up emission inventory map from the same study area. The comparison was carried out using a combination of numerical indicators and visual interpretation. Statistically significant differences were found between the seven cities with regard to the spatial accuracy of their top-down emission inventory maps. In compact cities with a simple street network and a single center, a good accuracy of the spatial distribution of emissions was achieved with correlation values&gt;0.8 with respect to the bottom-up emission inventory of reference. In contrast, the simplified disaggregation method is not suitable for complex cities consisting of interconnected nuclei, resulting in correlation values&lt;0.5. Although top-down disaggregation of traffic emissions generally exhibits low accuracy, the accuracy is significantly higher in compact cities and might be further improved by applying a correction factor for the city center. Therefore, the method can be used by local environmental authorities in cities with limited resources and with little knowledge on the pollution situation to get an overview on the spatial distribution of the emissions generated by traffic activities. "
}
@article{Wilson20064621,
	title = "Mapping the spatial distribution of global anthropogenic mercury atmospheric emission inventories ",
	journal = "Atmospheric Environment ",
	volume = "40",
	number = "24",
	pages = "4621 - 4632",
	year = "2006",
	note = "",
	issn = "1352-2310",
	doi = "http://dx.doi.org/10.1016/j.atmosenv.2006.03.042",
	url = "http://www.sciencedirect.com/science/article/pii/S1352231006003141",
	author = "Simon J. Wilson and Frits Steenhuisen and Jozef M. Pacyna and Elisabeth G. Pacyna",
	keywords = "Mercury",
	keywords = "Emissions",
	keywords = "Global",
	keywords = "Anthropogenic",
	keywords = "\{GIS\}",
	keywords = "Mapping",
	keywords = "Inventory ",
	abstract = "This paper describes the procedures employed to spatially distribute global inventories of anthropogenic emissions of mercury to the atmosphere, prepared by Pacyna, E.G., Pacyna, J.M., Steenhuisen, F., Wilson, S. [2006. Global anthropogenic mercury emission inventory for 2000. Atmospheric Environment, this issue, doi:10.1016/j.atmosenv.2006.03.041], and briefly discusses the results of this work. A new spatially distributed global emission inventory for the (nominal) year 2000, and a revised version of the 1995 inventory are presented. Emissions estimates for total mercury and major species groups are distributed within latitude/longitude-based grids with a resolution of 1×1 and 0.5×0.5°. A key component in the spatial distribution procedure is the use of population distribution as a surrogate parameter to distribute emissions from sources that cannot be accurately geographically located. In this connection, new gridded population datasets were prepared, based on the \{CEISIN\} \{GPW3\} datasets (CIESIN, 2004. Gridded Population of the World (GPW), Version 3. Center for International Earth Science Information Network (CIESIN), Columbia University and Centro Internacional de Agricultura Tropical (CIAT). \{GPW3\} data are available at http://beta.sedac.ciesin.columbia.edu/gpw/index.jsp). The spatially distributed emissions inventories and population datasets prepared in the course of this work are available on the Internet at www.amap.no/Resources/HgEmissions/ "
}
@article{oda,
	title = "A very high-resolution (1 kmÃ—1 km) global fossil fuel CO$_{2}$ emission inventory derived using a point source database and satellite observations of nighttime lights",
	journal = "Atmospheric Environment ",
	volume = "11",
	number = "2",
	pages = "543 - 556",
	year = "2011",
	note = "",
	issn = "1352-2310",
	doi = "http://dx.doi.org/10.5194/acp-11-543-2011",
	url = "http://www.atmos-chem-phys.net/11/543/2011/",
	author = "Oda, T. and Maksyutov, S.",
	keywords = "Emission inventory map",
	keywords = "Spatial accuracy",
}
@MASTERSTHESIS{angel,
	author = {{Vara}, A.},
	title = "{Avaliação do impacto da mudança dos fatores de emissão veicular na formação de ozônio troposférico na Região Metropolitana de São Paulo (RMSP)}",
	school = {S\~{a}o Paulo: Universidade  de São Paulo},
	year = 2013,
	adsurl = {http://www.iag.usp.br/pos/sites/default/files/d_angel_l_v_vela_corrigida_0.pdf},
}
@inproceedings{Yuri2014,
	author = "Rita Yuri Ynoue and Angel Liduvino Vara Vela and Sergio Ibarra Espinosa and Enzo Todesco and Maria de Fátima Andrade;",
	title = "Operational air quality forecast based on vehicular emissions inventory for some metropolitan areas of southeastern brazil",
	booktitle = "13Th IGAC Science Conference on Atmospheric Chemistry. Braszil, Natal, 22-26 Setembro 2014",
	address = "Natal, Brazil",
	pages = "278",
	year = "2014"
}
@article{Saide20112769,
	title = "Forecasting urban \{PM10\} and PM2.5 pollution episodes in very stable nocturnal conditions and complex terrain using WRF–Chem \{CO\} tracer model ",
	journal = "Atmospheric Environment ",
	volume = "45",
	number = "16",
	pages = "2769 - 2780",
	year = "2011",
	note = "",
	issn = "1352-2310",
	doi = "http://dx.doi.org/10.1016/j.atmosenv.2011.02.001",
	url = "http://www.sciencedirect.com/science/article/pii/S1352231011001178",
	author = "Pablo E. Saide and Gregory R. Carmichael and Scott N. Spak and Laura Gallardo and Axel E. Osses and Marcelo A. Mena-Carrasco and Mariusz Pagowski",
	keywords = "\{PM10\} and PM2.5 forecast",
	keywords = "WRF–Chem \{CO\} tracer",
	keywords = "Santiago de Chile",
	keywords = "Data assimilation",
	keywords = "Deterministic model ",
	abstract = "This study presents a system to predict high pollution events that develop in connection with enhanced subsidence due to coastal lows, particularly in winter over Santiago de Chile. An accurate forecast of these episodes is of interest since the local government is entitled by law to take actions in advance to prevent public exposure to \{PM10\} concentrations in excess of 150 μg m−3 (24 h running averages). The forecasting system is based on accurately simulating carbon monoxide (CO) as a PM10/PM2.5 surrogate, since during episodes and within the city there is a high correlation (over 0.95) among these pollutants. Thus, by accurately forecasting CO, which behaves closely to a tracer on this scale, a \{PM\} estimate can be made without involving aerosol-chemistry modeling. Nevertheless, the very stable nocturnal conditions over steep topography associated with maxima in concentrations are hard to represent in models. Here we propose a forecast system based on the WRF–Chem model with optimum settings, determined through extensive testing, that best describe both meteorological and air quality available measurements. Some of the important configurations choices involve the boundary layer (PBL) scheme, model grid resolution (both vertical and horizontal), meteorological initial and boundary conditions and spatial and temporal distribution of the emissions. A forecast for the 2008 winter is performed showing that this forecasting system is able to perform similarly to the authority decision for \{PM10\} and better than persistence when forecasting \{PM10\} and PM2.5 high pollution episodes. Problems regarding false alarm predictions could be related to different uncertainties in the model such as day to day emission variability, inability of the model to completely resolve the complex topography and inaccuracy in meteorological initial and boundary conditions. Finally, according to our simulations, emissions from previous days dominate episode concentrations, which highlights the need for 48 h forecasts that can be achieved by the system presented here. This is in fact the largest advantage of the proposed system. "
}
@article{costabile2008new,
	title={A new approach to link transport emissions and air quality: An intelligent transport system based on the control of traffic air pollution},
	author={Costabile, F and Allegrini, I},
	journal={Environmental Modelling \& Software},
	volume={23},
	number={3},
	pages={258--267},
	year={2008},
	publisher={Elsevier}
}
@article{MenaCarrasco2014771,
	title = "Regional climate feedbacks in Central Chile and their effect on air quality episodes and meteorology ",
	journal = "Urban Climate ",
	volume = "10, Part 5",
	number = "0",
	pages = "771 - 781",
	year = "2014",
	note = "Cities and Megacities: Air Quality and Climate Impacts ",
	issn = "2212-0955",
	doi = "http://dx.doi.org/10.1016/j.uclim.2014.06.006",
	url = "http://www.sciencedirect.com/science/article/pii/S2212095514000467",
	author = "Marcelo Mena-Carrasco and Pablo Saide and Rodrigo Delgado and Pablo Hernandez and Scott Spak and Luisa Molina and Gregory Carmichael and Xiaoyan Jiang",
	keywords = "Regional climate",
	keywords = "Aerosol",
	keywords = "Andes",
	keywords = "Santiago",
	keywords = "Black carbon ",
	abstract = "Abstract Santiago, an emerging megacity of 7 million plus inhabitants has shown great improvement in its air quality reducing PM2.5 concentrations from 69&#xa0;μg/m3 in 1989 to 24&#xa0;μg/m3 in 2013 with a comprehensive air quality management strategy. An operational air quality forecasting model that has shown great potential in predicting air quality episodes is used to establish how the climate \{A1B\} scenario can impact the frequency of bad air days. In comparison to 2011, in 2050 extreme air quality episodes will be reduced in 20%. WRF-Chem is used to evaluate the effect of anthropogenic emissions on the regional climate including aerosol radiative feedbacks for October–November 2008. Anthropogenic emissions of sulfur and black carbon show different geographical patterns which result in local cooling (0.2–1&#xa0;°C) in coastal Chile, due to large sources of SO2. Central Chile, where most of the population of the country lives, shows transportation of black carbon emissions into the Andes mountain range, resulting in local warming of 0.4&#xa0;°C. While global forcings may cause regional heating for 2050, reducing current black carbon emissions in Central Chile can reduce anthropogenic warming with immediate benefits to the regional climate, and simultaneously reducing local air pollution. "
}
}
@misc{CET,
	author = {CET},
	title = {Simulação de tráfego para Região Metropolitana de São Paulo},
	year = {2014},
	note = {http://www.cetsp.com.br}
}
@Manual{QGIS,
	title = {QGIS Geographic Information System},
	author = {{QGIS Development Team}},
	organization = {Open Source Geospatial Foundation},
	year = {2009},
	url = {http://qgis.osgeo.org},
}
@article{Yin200285,
	title = "Urban traffic flow prediction using a fuzzy-neural approach ",
	journal = "Transportation Research Part C: Emerging Technologies ",
	volume = "10",
	number = "2",
	pages = "85 - 98",
	year = "2002",
	note = "",
	issn = "0968-090X",
	doi = "http://dx.doi.org/10.1016/S0968-090X(01)00004-3",
	url = "http://www.sciencedirect.com/science/article/pii/S0968090X01000043",
	author = "Hongbin Yin and S.C. Wong and Jianmin Xu and C.K. Wong",
	keywords = "Traffic flow prediction",
	keywords = "Urban traffic control system",
	keywords = "Fuzzy-neural model",
	keywords = "Online rolling training procedure",
	keywords = "Time series forecasting "
}
@article{zeileis2007regression,
	author =	"Achim Zeileis and Christian Kleiber and Simon Jackman",
	title =	"Regression Models for Count Data in R",
	journal =	"Journal of Statistical Software",
	volume =	"27",
	number =	"8",
	pages =	"1--25",
	day =  	"29",
	month =	"7",
	year = 	"2008",
	CODEN =	"JSSOBK",
	ISSN = 	"1548-7660",
	bibdate =	"2008-06-06",
	URL =  	"http://www.jstatsoft.org/v27/i08",
	accepted =	"2008-06-06",
	acknowledgement = "",
	keywords =	"",
	submitted =	"2007-05-04",
}
@article{zhao2004using,
	title={Using geographically weighted regression models to estimate annual average daily traffic},
	author={Zhao, Fang and Park, Nokil},
	journal={Transportation Research Record: Journal of the Transportation Research Board},
	volume={1879},
	number={1},
	pages={99--107},
	year={2004},
	publisher={Trans Res Board}
}
@article{Quddus,
	title = "Time series count data models: An empirical application to traffic accidents ",
	journal = "Accident Analysis and Prevention ",
	volume = "40",
	number = "5",
	pages = "1732 - 1741",
	year = "2008",
	note = "",
	issn = "0001-4575",
	doi = "http://dx.doi.org/10.1016/j.aap.2008.06.011",
	url = "http://www.sciencedirect.com/science/article/pii/S0001457508001048",
	author = "Mohammed A. Quddus",
	keywords = "Traffic accidents",
	keywords = "Time series count data",
	keywords = "Integer-valued autoregressive",
	keywords = "Negative binomial",
	keywords = "Accident prediction models "
}
@article{zhong2004estimation,
	title={Estimation of missing traffic counts using factor, genetic, neural, and regression techniques},
	author={Zhong, Ming and Lingras, Pawan and Sharma, Satish},
	journal={Transportation Research Part C: Emerging Technologies},
	volume={12},
	number={2},
	pages={139--166},
	year={2004},
	publisher={Elsevier}
}
@article{corvalan1,
	title={Hot emission model for mobile sources: application to the metropolitan region of the city of Santiago, Chile},
	author={Corval{\'a}n, Roberto M and Osses, Mauricio and Urrutia, Cristian M},
	journal={Journal of the Air \& Waste Management Association},
	volume={52},
	number={2},
	pages={167--174},
	year={2002},
	publisher={Taylor \& Francis}
}
@misc{MCT2006,
	author = "{Ministerio de Ciência e Tecnologia}",
	title = "Primeiro inventário brasileiro de emissões antrópicas de gases de efeito estufa - Emissões de gases de efeito estufa por fontes móveis, no setor energético",
	year = "2006"
}
@techreport{epa2002comprehensive,
	title={Comprehensive analysis of biodiesel impacts on exhaust emissions},
	author={EPA, A},
	year={2002},
	institution={Draft Technical Report, EPA420-02-001}
}
@article{hilton2009effect,
	title={The effect of E20 ethanol fuel on vehicle emissions},
	author={Hilton, B and Duddy, B},
	journal={Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering},
	volume={223},
	number={12},
	pages={1577--1586},
	year={2009},
	publisher={Sage Publications}
}
@article{vivanco2006,
	title={Validation of the emission inventory in the Sao Paulo Metropolitan Area of Brazil, based on ambient concentrations ratios of CO, NMOG and NOx and on a photochemical model},
	author={Vivanco, Marta G and de F{\'a}tima Andrade, Maria},
	journal={Atmospheric Environment},
	volume={40},
	number={7},
	pages={1189--1198},
	year={2006},
	publisher={Elsevier}
}
@article{gallardo2012,
	title={Evaluation of vehicle emission inventories for carbon monoxide and nitrogen oxides for Bogot{\'a}, Buenos Aires, Santiago, and S{\\~a}o Paulo},
	author={Gallardo, Laura and Escribano, Jer{\'o}nimo and Dawidowski, Laura and Rojas, N{\'e}stor and de F{\'a}tima Andrade, Maria and Osses, Mauricio},
	journal={Atmospheric Environment},
	volume={47},
	pages={12--19},
	year={2012},
	publisher={Elsevier}
}
@Manual{R,
	title = {R: A Language and Environment for Statistical Computing},
	author = {{R Core Team}},
	organization = {R Foundation for Statistical Computing},
	address = {Vienna, Austria},
	year = {2017},
	url = {http://www.R-project.org/},
}
@Manual{maptools,
	title = {maptools: Tools for Reading and Handling Spatial Objects},
	author = {Roger Bivand and Nicholas Lewin-Koh},
	year = {2015},
	note = {R package version 0.8-34},
	url = {http://CRAN.R-project.org/package=maptools},
}
@Article{ggmap,
	author = {David Kahle and Hadley Wickham},
	title = {ggmap: Spatial Visualization with ggplot2},
	journal = {The R Journal},
	year = {2013},
	volume = {5},
	number = {1},
	pages = {144--161},
	url = {http://journal.r-project.org/archive/2013-1/kahle-wickham.pdf},
}
@article{silva2013,
	title = {{Validação de poluentes fotoquímicos e inclusão do inventário de emissões no modelo de qualidade do ar WRF/CHEM, para a região metropolitana de São Paulo }},
	journal = {{Revista Brasileira de Meteorologia}},
	author={Silva Junior, Rosiberto Salustiano da AND Andrade, Maria de Fátima},
	ISSN = {0102-7786},
	language = {pt},
	URL = {http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862013000100010&nrm=iso},
	volume = {28},
	year = {2013},
	month = {03},
	pages = {105 - 121},
	publisher = {scielo},
	crossref = {10.1590/S0102-77862013000100010},
}
@article{andrade2015air,
	title={Air quality forecasting system for Southeastern Brazil},
	author={Andrade, Maria de Fatima and Ynoue, Rita Y and Freitas, Edmilson Dias and Todesco, Enzo and Vara Vela, Angel and Ibarra, Sergio and Martins, Leila Droprinchinski and Martins, Jorge Alberto and Carvalho, Vanessa Silveira Barreto},
	journal={Frontiers in Environmental Science},
	volume={3},
	pages={9},
	year={2015},
	publisher={Frontiers}
}
@Article{Angel2015,
	AUTHOR = {Vara-Vela, A. and Andrade, M. F. and Kumar, P. and Ynoue, R. Y. and Mu\~noz, A. G.},
	TITLE = {Impact of vehicular emissions on the formation of fine particles in the Sao Paulo Metropolitan Area: a numerical study with the WRF-Chem model},
	JOURNAL = {Atmospheric Chemistry and Physics Discussions},
	VOLUME = {15},
	YEAR = {2015},
	NUMBER = {10},
	PAGES = {14171--14219},
	URL = {http://www.atmos-chem-phys-discuss.net/15/14171/2015/},
	DOI = {10.5194/acpd-15-14171-2015}
}
@article{Wang20091947,
	title = "A bottom-up methodology to estimate vehicle emissions for the Beijing urban area ",
	journal = "Science of The Total Environment ",
	volume = "407",
	number = "6",
	pages = "1947 - 1953",
	year = "2009",
	note = "",
	issn = "0048-9697",
	doi = "http://dx.doi.org/10.1016/j.scitotenv.2008.11.008",
	url = "http://www.sciencedirect.com/science/article/pii/S0048969708011303",
	author = "Haikun Wang and Lixin Fu and Xin Lin and Yu Zhou and Jinchuan Chen",
	keywords = "Vehicle missions",
	keywords = "Air quality",
	keywords = "Grid-based",
	keywords = "Traffic data",
	keywords = "Beijing "
}
@article{kinnee2004allocation,
	title={Allocation of onroad mobile emissions to road segments for air toxics modeling in an urban area},
	author={Kinnee, EJ and Touma, JS and Mason, R and Thurman, J and Beidler, A and Bailey, C and Cook, R},
	journal={Transportation Research Part D: Transport and Environment},
	volume={9},
	number={2},
	pages={139--150},
	year={2004},
	publisher={Elsevier}
}
@article{boulter,
	title={ARTEMIS: Assessment and Reliability of Transport Emission Models and Inventory Systems-final report},
	author={Boulter, PG and MCCRAE, Ian S},
	journal={TRL Published Project Report},
	year={2007}
}
@misc{tp,
	author={Policy-Transport},
	title = {{Transport Policy} Summary of Brazil's Light-Duty Emission Standards},
	howpublished = {\urlstyle{rm}\url{transportpolicy.net/index.php?title=Category:Brazil}},
	year={2015},
	note = {Accessed: 2015-09-04}
}
@article{saldiva1994,
	title={Association between air pollution and mortality due to respiratory diseases in children in S{\\~a}o Paulo, Brazil: a preliminary report},
	author={Saldiva, Paulo HN and Lichtenfels, AJFC and Paiva, PSO and Barone, IA and Martins, MA and Massad, E and Pereira, JCR and Xavier, VP and Singer, JM and Bohm, GM},
	journal={Environmental Research},
	volume={65},
	number={2},
	pages={218--225},
	year={1994},
	publisher={Elsevier}
}
@book{boulter2009emission,
	title={Emission factors 2009: Report 6-deterioration factors and other modelling assumptions for road vehicles},
	author={Boulter, PG},
	year={2009}
}
@techreport{bruni2013curvas,
	title={Curvas de intensidade de uso por tipo de veículo automotor da frota da cidade de São Paulo},
	author={Bruni, Antonio De Castro and Bales, Marcelo Pereira},
	year={2013},
    institution={CETESB},
	note = {http://veicular.cetesb.sp.gov.br/wp-content/uploads/sites/35/2013/12/curvas-intensidade-uso-veiculos-automotores-cidade-sao-paulo.pdf}
}

@Manual{mobilidade,
	title={Pesquisa de Mobilidade Urbana 2012, Região Metropolitana de São Paulo},
	author={Metro-SP},
	organization = {MetroSP},
	year={2013},
	url = {http://www.metro.sp.gov.br/metro/arquivos/mobilidade-2012/relatorio-sintese-pesquisa-mobilidade-2012.pdf},
}
@Manual{dft,
	title = {Updated Vehicle Emission Curves for Use in the National Transport Model },
	author = {Li, Yvonne  and Pearson, Ben  and Murrells, Tim},
	organization = {AEA},
	year = {2009},
	url = {https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/4556\\/aeat-updated-vehicle-emission-curves.pdf}
}
@Manual{dft,
	title = {Updated Vehicle Emission Curves for Use in the National Transport Model },
	author = {Li, Yvonne  and Pearson, Ben  and Murrells, Tim},
	organization = {AEA},
	year = {2009},
	url = {https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/4556/aeat-updated-vehicle-emission-curves.pdf}
}

@Manual{enxofre,
	title = {Brazil: Fuels: Diesel and Gasoline},
	author = {Transportpolicy.net},
	year = {2016},
	url = {http://transportpolicy.net/index.php?title=Brazil:_Fuels:_Diesel_and_Gasoline}
}
@Manual{anp,
	title = {Anuario Estatístico Brasileiro do Petróleo, Gas Natural e Biocombustíveis 2013},
	author = {ANP},
	year = {2013},
	url = {http://www.anp.gov.br/?dw=68644}
}

@article{Jorquera201042,
	
	title = "Analysis of urban pollution episodes by inverse modeling ",
	
	journal = "Atmospheric Environment ",
	
	volume = "44",
	
	number = "1",
	
	pages = "42 - 54",
	
	year = "2010",
	
	note = "",
	
	issn = "1352-2310",
	
	doi = "http://dx.doi.org/10.1016/j.atmosenv.2009.09.040",
	
	url = "http://www.sciencedirect.com/science/article/pii/S1352231009008346",
	
	author = "Hector Jorquera and Julio Castro",
	
	keywords = "Inverse modeling",
	
	keywords = "Emission inventory",
	
	keywords = "Santiago de Chile",
	
	keywords = "Kalman filter",
	
	keywords = "Urban air quality ",
	
	abstract = "Urban pollution episodes pose two relevant issues: a) was the episode controlled by specific meteorology, a rise of emissions or both? b) Were mitigation measures effective in curbing down pollution? A methodology for answering those questions comes from an inverse modeling approach. In this work we have applied the methodology to the city of Santiago, Chile for which the required input data are available. We use a Kalman filter and ambient observations to constrain sources of tracers such as CO, elemental carbon and suspended street dust. The period analyzed is the week from May 20th till May 26th 2005. We find that a posteriori \{CO\} emissions were 76% of the a priori estimates. For suspended street dust a posteriori values are 36% and 21% of the prior values for coarse and fine fractions, respectively. Elemental carbon emissions are underestimated in the prior inventory – we find a correction factor of 1.53 for the whole week. Sensitivity analyses tested the robustness of a posteriori estimates, generating ensembles of simulations for different modeling options. For different initial prior estimates, the ratio of standard deviation to mean values was below 0.20 for 75% of the a posteriori, estimated emissions. For different choices of the error covariance matrices and model errors those ratios were below 0.30 for 75% of a posteriori emissions, which shows the robustness of results for different parameter choices – only a small fraction of results were not significant. The high pollution peaks on May 21st are due to specific meteorological conditions and increased traffic emissions as well. Contingency measures taken on Sunday May 22nd and better dispersion conditions on Monday May 23rd stopped the accumulation of those pollutants, showing the effectiveness of short term strategies such as traffic bans and street sweeping operations in curbing down traffic pollution at Santiago. "
	
}
@article{RequiaJr201532,
	
	title = "Spatial distribution of vehicle emission inventories in the Federal District, Brazil ",
	
	journal = "Atmospheric Environment ",
	
	volume = "112",
	
	number = "",
	
	pages = "32 - 39",
	
	year = "2015",
	
	note = "",
	
	issn = "1352-2310",
	
	doi = "http://dx.doi.org/10.1016/j.atmosenv.2015.04.029",
	
	author = "Weeberb João Réquia Jr. and Petros Koutrakis and Henrique Llacer Roig",
	
	keywords = "Air pollution",
	
	keywords = "Vehicle emission inventories",
	
	keywords = "Spatial patterns ",
	
	abstract = "Abstract Air pollution poses an important public health risk, especially in large urban areas. Information about the spatial distribution of air pollutants can be used as a tool for developing public policies to reduce source emissions. Air pollution monitoring networks provide information about pollutant concentrations; however, they are not available in every urban area. Among the 5570 cities in Brazil, for example, only 1.7% of them have air pollution monitoring networks. In this study we assess vehicle emissions for main traffic routes of the Federal District (state of Brazil) and characterize their spatial patterns. Toward this end, we used a bottom-up method to predict emissions and to characterize their spatial patterns using Global Moran's (Spatial autocorrelation analysis) and Getis-Ord General G (High/Low cluster analysis). Our findings suggested that light duty vehicles are primarily responsible for the vehicular emissions of \{CO\} (68.9%), \{CH4\} (93.6%), and \{CO2\} (57.9%), whereas heavy duty vehicles are primarily responsible for the vehicular emissions of \{NMHC\} (92.9%), \{NOx\} (90.7%), and \{PM\} (97.4%). Furthermore, \{CO2\} is the pollutant with the highest emissions, over 30 million tons/year. In the spatial autocorrelation analysis was identified cluster (p&lt;0.01) for all types of vehicles and for all pollutants. However, we identified high cluster only for the light vehicles. "
	
}


@article{Souza2013125,
	
	title = "Inventory of conventional air pollutants emissions from road transportation for the state of Rio de Janeiro ",
	
	journal = "Energy Policy ",
	
	volume = "53",
	
	number = "",
	
	pages = "125 - 135",
	
	year = "2013",
	
	note = "",
	
	issn = "0301-4215",
	
	doi = "http://dx.doi.org/10.1016/j.enpol.2012.10.021",
	
	author = "Cristiane Duarte Ribeiro de Souza and Suellem Deodoro Silva and Marcelino Aurélio Vieira da Silva and Márcio de Almeida D’Agosto and Arthur Prado Barboza",
	
	keywords = "Air pollutants",
	
	keywords = "Vehicle emissions",
	
	keywords = "Road transportation ",
	
	abstract = "Road transportation has contributed to increased emissions of conventional air pollutants and, consequently, to the increase in problems associated with the environment and human health, depending on the type of pollutant and the concentration of it. To support the development of public policies aimed to decrease total tonnes of emissions, we used a bottom-up approach to estimate the amount of air pollutants, such as carbon monoxide (CO), total hydrocarbons (THC), nitrogen oxides (NOx), particulate matter (PM), and aldehydes (RCHO), that are emitted by road transportation in the state of Rio de Janeiro (RJ) from 1980 to 2010. The results from 2010 show that cars are responsible for 55% of \{CO\} emissions, 61% of \{THC\} emissions, and 93% of \{RCHO\} emissions. Due to the use of hydrated ethanol and compressed natural gas (CNG) instead of petroleum based fuels during the period analyzed, 1,760,370 t of air pollutant emissions were avoided. Compared to Brazil, in 2010, \{RJ\} had a quantity of emissions per vehicle from 12% (CO) to 59% (PM) smaller than the national average. As strategies to reduce air pollutant emissions, we consider reducing the intensity of use, with a proportional reduction in emissions, and increased the use of biodiesel. "
}

@techreport{giroldo2005development,
	title={Development of 1.6 flex fuel engine for Brazilian market},
	author={Giroldo, Mauro Berti and Werninghaus, Edward and Coelho, Eugenio and Makant, William},
	year={2005},
	note = "\urlstyle{rm}\url{http://papers.sae.org/2005-01-4130/}",
	institution={SAE Technical Paper}
}
@article{mage,
	title = "Urban air pollution in megacities of the world ",
	journal = "Atmospheric Environment ",
	volume = "30",
	number = "5",
	pages = "681 - 686",
	year = "1996",
	note = "Supercities: Environment Quality and Sustainable Development ",
	issn = "1352-2310",
	doi = "http://dx.doi.org/10.1016/1352-2310(95)00219-7",
	url = "http://www.sciencedirect.com/science/article/pii/1352231095002197",
	author = "David Mage and Guntis Ozolins and Peter Peterson and Anthony Webster and Rudi Orthofer and Veerle Vandeweerd and Michael Gwynne"
}

@book{jacobson,
	title={Fundamentals of atmospheric modeling},
	author={Jacobson, Mark Z},
	year={2005},
	publisher={Cambridge university press}
}

@misc{yearbook,
	author = "Estado de São Paulo",
	title = "ANUÁRIO ESTATÍSTICO DE ENERGÉTICOS POR MUNICÍPIO NO ESTADO DE SÃO PAULO",
	year = "2012",
	note = "\urlstyle{rm}\url{http://www.energia.sp.gov.br/a2sitebox/arquivos/documentos/532.pdf}"
}
@article{who2010hidden,
	title={Hidden cities: unmasking and overcoming health inequities in urban settings},
	author={WHO, UN-HABITAT},
	journal={WHO, Library Cataloguing-in-Publication Data},
	year={2010}
}
@book{de2011modelling,
	title={Modelling transport},
	author={de Dios Ortúzar, Juan and Willumsen, Luis G},
	year={2011},
	publisher={John Wiley \& Sons}
}

@ARTICLE{Abernethy2003,
  author = {Colin D. Abernethy and Gareth M. Codd and Mark D. Spicer
    and Michelle K. Taylor},
  title = {{A} highly stable {N}-heterocyclic carbene complex of
    trichloro-oxo-vanadium(\textsc{v}) displaying novel
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  pages = {1128--1129},
  number = {5},
  doi = {10.1021/ja0276321},
}

@MISC{ACS2007,
  url = {http://pubs.acs.org/books/references.shtml},
}

@ARTICLE{Arduengo1992,
  author = {Arduengo, III, Anthony J. and H. V. Rasika Dias and
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@ARTICLE{Arduengo1994,
  author = {Arduengo, III, Anthony J. and Siegfried F. Gamper and
    Joseph C. Calabrese and Fredric Davidson},
  title = {{L}ow-coordinate carbene complexes of nickel(0) and
    platinum(0)},
  journal = jacsat,
  year = {1994},
  volume = {116},
  pages = {4391--4394},
  number = {10},
  doi = {10.1021/ja00089a029},
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@ARTICLE{Eisenstein2005,
  author = {Appelhans, Leah N. and Zuccaccia, Daniele and Kovacevic,
    Anes and Chianese, Anthony R. and Miecznikowski, John R. and
    Macchioni, Aleco and Clot, Eric and Eisenstein, Odile and
    Crabtree, Robert H.},
  title = {{A}n anion-dependent switch in selectivity results from a
    change of {C}---{H} activation mechanism in the reaction of an
    imidazolium salt with \ce{IrH5(PPh3)2}},
  journal = {{J}.~{A}m.\ {C}hem. {S}oc.},
  year = {2005},
  volume = {127},
  pages = {16299--16311},
  number = {46},
  doi = {10.1021/ja055317j},
}

@BOOK{Coghill2006,
  title = {{T}he {ACS} {S}tyle {G}uide},
  publisher = {{O}xford {U}niversity {P}ress, {I}nc. and
               {T}he {A}merican {C}hemical {S}ociety},
  year = {2006},
  editor = {Coghill, Anne M. and Garson, Lorrin R.},
  address = {{N}ew {Y}ork},
  edition = {3},
  subtitle = {{E}ffective {C}ommunication of {S}cientific
    {I}nformation},
}

@BOOK{Cotton1999,
  title = {{A}dvanced {I}norganic {C}hemistry},
  publisher = {Wiley},
  year = {1999},
  author = {Cotton, Frank Albert and Wilkinson, Geoffrey and
    Murillio, Carlos A. and Bochmann, Manfred},
  address = {Chichester, United Kingdom},
  edition = {6},
}

@TECHREPORT{EuropeanCommission2008,
  address = {Brussels, Belgium},
  organization = {European Commission},
  title = {Communication from the European Commission to the
   European Council and the European Parliament:
   20 20 by 2020: Europe's climate change opportunity},
  year = {2008}
}

@INBOOK{Friedman-Hill2003,
  author         = {E. Friedman-Hill},
  booktitle      = {{J}ess in {A}ction: {J}ava {R}ule-based {S}ystems},
  publisher      = {Manning Publications Co.},
  address        = {Greenwich, CT, USA},
  title          = {Writing Rules in Jess},
  edition        = {1},
  year           = {2003}
}

@PATENT{Johnson1972,
  author       = {Johnson, Alexander Lawrence},
  organization = {E.~I.~du Pont de Nemours},
  number       = {3637731},
  title        = {1-(Alkylsubstituted phenyl)imidazoles useful in ACTH
    reverse assay},
  type         = {US~Patent},
  year         = {1972}
}

@MANUAL{Pople2003,
title = {{G}aussian 03},
author = {M.~J. Frisch and G.~W. Trucks and H.~B. Schlegel and G.~E. Scuseria
and M.~A. Robb and J.~R. Cheeseman and Montgomery and Jr. and J.
A. and T. Vreven and K.~N. Kudin and J.~C. Burant and J.~M. Millam
and S.~S. Iyengar and J. Tomasi and V. Barone and B. Mennucci and
M. Cossi and G. Scalmani and N. Rega and G.~A. Petersson and H. Nakatsuji
and M. Hada and M. Ehara and K. Toyota and R. Fukuda and J. Hasegawa
and M. Ishida and T. Nakajima and Y. Honda and O. Kitao and H. Nakai
and M. Klene and X. Li and J.~E. Knox and H.~P. Hratchian and J.~B.
Cross and V. Bakken and C. Adamo and J. Jaramillo and R. Gomperts
and R.~E. Stratmann and O. Yazyev and A.~J. Austin and R. Cammi and
C. Pomelli and J.~W. Ochterski and P.~Y. Ayala and K. Morokuma and
G.~A. Voth and P. Salvador and J.~J. Dannenberg and V.~G. Zakrzewski
and S. Dapprich and A.~D. Daniels and M.~C. Strain and O. Farkas
and D.~K. Malick and A.~D. Rabuck and K. Raghavachari and J.~B. Foresman
and J.~V. Ortiz and Q. Cui and A.~G. Baboul and S. Clifford and J.
Cioslowski and B.~B. Stefanov and G. Liu and A. Liashenko and P.
Piskorz and I. Komaromi and R.~L. Martin and D.~J. Fox and T. Keith
and M.~A. Al-Laham and C.~Y. Peng and A. Nanayakkara and M. Challacombe
and P.~M.~W. Gill and B. Johnson and W. Chen and M.~W. Wong and C.
Gonzalez and J.~A. Pople},
  organization = {Gaussian, Inc.},
  address = {Wallingford, CT},
  year = {2004},
  howpublished = {Gaussian, Inc., Wallingford, CT, USA},
  institution = {Gaussian, Inc.},
  publisher = {Gaussian, Inc.}
}

@ARTICLE{Mena2000,
  author = {Angel Abarca and Pilar G\'omez-Sal and Avelino Mart\'in
    and Miguel Mena and Josep Mar\'ia Poblet and Carlos Y\'elamos},
  title = {{A}mmonolysis of mono(pentamethylcyclopentadienyl)
    titanium(\textsc{iv}) derivatives},
  journal = {Inorg. Chem.},
  year = {2000},
  volume = {39},
  pages = {642--651},
  number = {4},
  doi = {10.1021/ic9907718},
}

@misc{DENATRAN2015, %AR 
author={DENATRAN},
title={{N}ational {D}epartment of {T}raffic {R}oad},
url= {Available in: http://www.denatran.gov.br/frota2015.htm. Accessed on: 04-02-2016},
year={2015},
}

@article{Andradeetal2017, %AR
title = "Air quality in the megacity of São Paulo: Evolution over the last 30 years and future perspectives ",
author={Andrade, Maria de Fatima and Kumar, Prashant and de Freitas, Edmilson Dias and Ynoue, Rita Yuri and Martins, Jorge and Martins, Leila D and Nogueira, Thiago and Perez-Martinez, Pedro and de Miranda, Regina Maura and Albuquerque, Taciana and others},
journal = "Atmospheric Environment ",
volume = "159",
number = "",
pages = "66 - 82",
year = "2017",
note = "",
issn = "1352-2310",
doi = "https://doi.org/10.1016/j.atmosenv.2017.03.051",
url = "http://www.sciencedirect.com/science/article/pii/S1352231017302212",
author = "Maria de Fatima Andrade and Prashant Kumar and Edmilson Dias de Freitas and Rita Yuri Ynoue and Jorge Martins and Leila D. Martins and Thiago Nogueira and Pedro Perez-Martinez and Regina Maura de Miranda and Taciana Albuquerque and Fabio Luiz Teixeira Gonçalves and Beatriz Oyama and Yang Zhang",
keywords = "Emissions",
keywords = "Fuel and energy",
keywords = "Air pollution",
keywords = "Exposure",
keywords = "Climate change",
keywords = "Megacity of São Paulo "
}

@book{seinfeldpandis2016,
  title={Atmospheric chemistry and physics: from air pollution to climate change},
  author={Seinfeld, John H and Pandis, Spyros N},
  year={2016},
  publisher={John Wiley \& Sons}
}

@article{vendrascoetal2009,
title = "A case study of the direct radiative effect of biomass burning aerosols on precipitation in the Eastern Amazon",
journal = "Atmospheric Research",
volume = "94",
number = "3",
pages = "409 - 421",
year = "2009",
note = "",
issn = "0169-8095",
doi = "http://dx.doi.org/10.1016/j.atmosres.2009.06.016",
url = "http://www.sciencedirect.com/science/article/pii/S0169809509001951",
author = "E.P. Vendrasco and P.L. Silva Dias and E.D. Freitas",
keywords = "Atmospheric modeling",
keywords = "Biomass burning",
keywords = "Precipitation",
keywords = "Aerosol"
}

@article{de2017air,
  title={Air quality in the megacity of S{\~a}o Paulo: Evolution over the last 30 years and future perspectives},
  author={de Fatima Andrade, Maria and Kumar, Prashant and de Freitas, Edmilson Dias and Ynoue, Rita Yuri and Martins, Jorge and Martins, Leila D and Nogueira, Thiago and Perez-Martinez, Pedro and de Miranda, Regina Maura and Albuquerque, Taciana and others},
  journal={Atmospheric Environment},
  year={2017},
  publisher={Elsevier}
}
@article{kurokawa2013emissions,
  title={Emissions of air pollutants and greenhouse gases over Asian regions during 2000--2008: Regional Emission inventory in ASia (REAS) version 2},
  author={Kurokawa, J and Ohara, T and Morikawa, T and Hanayama, S and Janssens-Maenhout, G and Fukui, T and Kawashima, K and Akimoto, H},
  journal={Atmospheric Chemistry and Physics},
  volume={13},
  number={21},
  pages={11019--11058},
  year={2013},
  publisher={Copernicus GmbH}
}
@article{freitas2011prep,
  title={PREP-CHEM-SRC--1.0: a preprocessor of trace gas and aerosol emission fields for regional and global atmospheric chemistry models},
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@misc{edgar,
author = "EJ-JRC/PBL",
title = "Emission Database for Global Atmospheric Research (EDGAR), release EDGAR v4.3.1\_v2 (1970 - 2010)",
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@article{fink,
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}