State of the Art Emission Inventory and Their Application: Literature review

[1] 71 World Health Assembly, “Health, environment and climate change:report by the Director-General,” World Heal. Organ., vol. 2016, no. SEVENTY-FIRSTWORLD HEALTH ASSEMBLY, pp. 1–7, 2018. Search in Google Scholar

[2] I. Manisalidis, E. Stavropoulou, A. Stavropoulos, and E. Bezirtzoglou,“Environmental and Health Impacts of Air Pollution: A Review,” Front. Public Heal.,vol. 8, no. February, pp. 1–13, 2020. Search in Google Scholar

[3] P. D. United Nations, Department of Economic and Social Affairs, “TheWorld ’s Cities in 2018,” World’s Cities 2018 - Data Bookl. (ST/ESA/SER.A/417), p.34, 2018. Search in Google Scholar

[4] S. Gani et al., “Systematizing the approach to air quality measurement andanalysis in low and middle income countries,” Environ. Res. Lett., vol. 17, no. 2,Feb. 2022. Search in Google Scholar

[5] V. F. McNeill, “Addressing the Global Air Pollution Crisis: Chemistry’sRole,” Trends Chem., vol. 1, no. 1, pp. 5–8, 2019. Search in Google Scholar

[6] K. Karroum et al., “A Review of Air Quality Modeling,” Mapan - J. Metrol.Soc. India, vol. 35, no. 2, pp. 287–300, 2020. Search in Google Scholar

[7] S. López-Aparicio, M. Guevara, P. Thunis, K. Cuvelier, and L. Tarrasón,“Assessment of discrepancies between bottom-up and regional emissioninventories in Norwegian urban areas,” Atmos. Environ., vol. 154, pp. 285–296,2017. Search in Google Scholar

[8] M. Li et al., “Special Topic: Air Pollution and Control Anthropogenicemission inventories in China: a review,” Natl. Sci. Rev., vol. 4, pp. 834–866, 2017. Search in Google Scholar

[9] B. Xu et al., “The Study of Emission Inventory on Anthropogenic AirPollutants and Source Apportionment of PM 2.5 in the Changzhutan UrbanAgglomeration, China.” Search in Google Scholar

[10] H. Q. Bang and V. H. N. Khue, Air Pollution: Monitoring, Quantification andRemoval of Gases and Particles. IntechOpen, 2019. Search in Google Scholar

[11] D. A. Vallero, Fundamentals of Air Pollution, Fifth. 2014. Search in Google Scholar

[12] M. Satt, M. De Almeida, D. Agosto, F. Gonçalves, H. Beatriz, and B. Cybis,“The evolution of city-scale GHG emissions inventory methods : A systematicreview,” Environ. Impact Assess. Rev., vol. 80, no. September 2019, p. 106316,2020. Search in Google Scholar

[13] M. Trombetti et al., “Spatial inter-comparison of Top-down emissioninventories in European urban areas,” Atmos. Environ., vol. 173, no. May 2017, pp.142–156, 2018. Search in Google Scholar

[14] European Environment Agency, EMEP/EEA air pollutant emission inventoryguidebook 2019, 13/2019. Luxembourg: European Environment Agency, 2019. Search in Google Scholar

[15] et. al. Ole-Kenneth Nielsen, “EMEP/EEA air pollutant emission inventoryguidebook 2019 Small combustion,” 2019. Search in Google Scholar

[16] T. Kuokkanen, “The convention on long-range transboundary air pollution,”Mak. Treaties Work Hum. Rights, Environ. Arms Control, pp. 161–178, 2007. Search in Google Scholar

[17] Eutat, “Definition SNAP Nomenclature,” Eustat official statisticalinformation of the Basque Country, 2022. [Online]. Available:https://en.eustat.eus/documentos/elem_13173/definicion.html. [Accessed: 06-Jul-2022]. Search in Google Scholar

[18] L. Khazini, M. J. Kalajahi, Y. Rashidi, and S. M. M. M. Ghomi, “Real-worldand bottom-up methodology for emission inventory development and scenariodesign in medium-sized cities,” J. Environ. Sci., no. xxxx, 2022. Search in Google Scholar

[19] L. Sartini, M. Antonelli, E. Pisoni, and P. Thunis, “From emissions to sourceallocation: Synergies and trade-offs between top-down and bottom-upinformation,” Atmos. Environ. X, vol. 7, no. July, p. 100088, 2020. Search in Google Scholar

[20] E. Terrenoire et al., “High-resolution air quality simulation over Europe withthe chemistry transport model CHIMERE,” Geosci. Model Dev., vol. 8, no. 1, pp. 21–42, 2015. Search in Google Scholar

[21] K. M. Fameli and V. D. Assimakopoulos, “The new open Flexible EmissionInventory for Greece and the Greater Athens Area (FEI-GREGAA): Account ofpollutant sources and their importance from 2006 to 2012,” Atmos. Environ., vol.137, pp. 17–37, 2016. Search in Google Scholar

[22] L. Pallavidino, R. Prandi, A. Bertello, E. Bracco, and F. Pavone,“Compilation of a road transport emission inventory for the Province of Turin:Advantages and key factors of a bottom–up approach,” Atmos. Pollut. Res., vol. 5,no. 4, pp. 648–655, 2014. Search in Google Scholar

[23] H. A. C. Denier Van Der Gon et al., “Particulate emissions from residentialwood combustion in Europe - revised estimates and an evaluation,” Atmos.Chem. Phys., vol. 15, no. 11, pp. 6503–6519, 2015. Search in Google Scholar

[24] J. J. P. Kuenen, A. J. H. Visschedijk, M. Jozwicka, and H. A. C. Denier VanDer Gon, “TNO-MACC-II emission inventory; A multi-year (2003-2009) consistenthigh-resolution European emission inventory for air quality modelling,” Atmos.Chem. Phys., vol. 14, no. 20, pp. 10963–10976, 2014. Search in Google Scholar

[25] P. Thunis et al., “Sensitivity of air quality modelling to different emissioninventories: A case study over Europe,” Atmos. Environ. X, vol. 10, no. October2020, p. 100111, 2021. Search in Google Scholar

[26] M. Guevara, S. Lopez-Aparicio, C. Cuvelier, L. Tarrason, A. Clappier, andP. Thunis, “A benchmarking tool to screen and compare bottom-up and top-downatmospheric emission inventories,” Air Qual. Atmos. Heal., vol. 10, no. 5, pp.627–642, 2017. Search in Google Scholar

[27] A. Elessa Etuman, I. Coll, and V. Rivera Salas, “OLYMPUS: An emissionmodel to connect urban form, individual practices and atmospheric pollutantrelease,” Atmos. Environ., vol. 245, no. 118013, 2021. Search in Google Scholar

[28] “Volatile chemical products emerging as largest petrochemical source ofurban organic emissions,” Atmos. Chem., vol. 764, no. February, pp. 760–764,2018. Search in Google Scholar

[29] S. Zhu, M. Mac Kinnon, B. P. Shaffer, and G. S. Samuelsen, “Anuncertainty for clean air: Air quality modeling implications of underestimatingVOC emissions in urban inventories,” Atmos. Environ., vol. 211 pp. 256–267,2019. Search in Google Scholar

[30] Z. Zhou et al., “Compilation of emission inventory and source profiledatabase for volatile organic compounds : A case study for Sichuan, China,”Atmos. Pollut. Res., vol. 11, no. September, pp. 105–116, 2019. Search in Google Scholar

[31] C. Gao, C. Gao, K. Song, Y. Xing, and W. Chen, “Vehicle emissionsinventory in high spatial – temporal resolution and emission reduction strategy inHarbin-Changchun Megalopolis,” Process Saf. Environ. Prot., vol. 138, pp. 236–245, 2020. Search in Google Scholar

[32] I. Bouarar et al., “Influence of anthropogenic emission inventories onsimulations of air quality in China during winter and summer 2010,” Atmos.Environ., vol. 198, no. September 2018, pp. 236–256, 2019. Search in Google Scholar

[33] H. Hua, S. Jiang, H. Sheng, Y. Zhang, X. Liu, and L. Zhang, “A high spatial-temporal resolution emission inventory of multi-type air pollutants for Wuxi city,”J. Clean. Prod., vol. 229, pp. 278–288, 2019. Search in Google Scholar

[34] P. Jiang, X. Chen, Q. Li, H. Mo, and L. Li, “High-resolution emissioninventory of gaseous and particulate pollutants in Shandong Province, easternChina,” J. Clean. Prod., vol. 259, p. 120806, 2020. Search in Google Scholar

[35] A. K. Pathak, M. Sharma, and P. K. Nagar, “Chemosphere A framework forPM 2 . 5 constituents-based ( including PAHs ) emission inventory and sourcetoxicity for priority controls : A case study of,” Chemosphere, vol. 255, p. 126971,2020. Search in Google Scholar

[36] M. Zhu, L. Liu, S. Yin, J. Zhang, K. Wang, and R. Zhang, “County-levelemission inventory for rural residential combustion and emission reductionpotential by technology optimization : A case study of Henan, China,” Atmos.Environ., vol. 228, p. 117436, 2020. Search in Google Scholar

[37] Y. Kwon, H. Lim, Y. Lim, and H. Lee, “Implication of activity-based vesselemission to improve regional air inventory in a port area,” Atmos. Environ., vol.203, no. June 2018, pp. 262–270, 2019. Search in Google Scholar

[38] A. Azhari et al., “Highly spatially resolved emission inventory of selected airpollutants in Kuala Lumpur ’ s urban environment,” Atmos. Pollut. Res., vol. InPress, 2020. Search in Google Scholar

[39] A. Clappier and P. Thunis, “A probabilistic approach to screen and improveemission inventories,” Atmos. Environ., vol. 242, no. July, p. 117831, 2020. Search in Google Scholar

[40] T. Coudon et al., “A national inventory of historical dioxin air emissionssources in France,” Atmos. Pollut. Res., vol. 10, no. 4, pp. 1211–1219, 2019. Search in Google Scholar

[41] B. Das, P. V Bhave, S. P. Puppala, K. Shakya, B. Maharjan, and R. M. Byanju, “Amodel-ready emission inventory for crop residue open burning in the context ofNepal,” Environ. Pollut., vol. 266, p. 115069, 2020. Search in Google Scholar

[42] E. Winijkul, F. Yan, Z. Lu, D. G. Streets, T. C. Bond, and Y. Zhao, “Size-resolvedglobal emission inventory of primary particulate matter from energy-relatedcombustion sources *,” vol. 107, pp. 137–147, 2015. Search in Google Scholar

[43] A. De Sousa, L. Hoinaski, T. Barros, and R. Castelan, “A methodology for highresolution vehicular emissions inventories in metropolitan areas : Evaluating theeffect of automotive technologies improvement,” Transp. Res. Part D, vol. 77, pp.303–319, 2019. Search in Google Scholar

[44] N. Huneeus et al., “Evaluation of anthropogenic air pollutant emissioninventories for South America at national and city scale,” Atmos. Environ., vol.235, p. 117606, 2020. Search in Google Scholar

[45] D. Majumdar, P. Purohit, A. D. Bhanarkar, P. S. Rao, and P. Rafaj, “Managingfuture air quality in megacities: Emission inventory and scenario analysis for theKolkata Metropolitan City, India1,” Atmos. Environ., vol. 222, p. 117135, 2020. Search in Google Scholar

[46] S. Mentese et al., “A comprehensive assessment of ambient air quality inÇanakkale city : Emission inventory, air quality monitoring, source apportionment, and respiratory health indicators,” Atmos. Pollut. Res., vol. 11, pp. 2282–2296,2020. Search in Google Scholar

[47] H. Shahbazi, S. Taghvaee, V. Hosseini, and H. Afshin, “Urban Climate A GISbased emission inventory development for Tehran,” UCLIM, vol. 17, pp. 216–229,2016. Search in Google Scholar

[48] P. S. Enrique, B. Tomas, B. Lucas, and P. Romina, “High resolutioninventory of atmospheric emissions from livestock production, agriculture, andbiomass burning sectors of Argentina,” Atmos. Environ., vol. 223, p. 117248,2020. Search in Google Scholar

[49] O. Ghaffarpasand, M. R. Talaie, H. Ahmadikia, A. T. Khozani, and M. D.Shalamzari, “A high-resolution spatial and temporal on-road vehicle emissioninventory in an Iranian metropolitan area, Isfahan, based on detailed hourly trafficdata,” Atmos. Pollut. Res., vol. 11, pp. 1598–1609, 2020. Search in Google Scholar

[50] Y. Shi, S. Zang, T. Matsunaga, and Y. Yamaguchi, “A multi-year and high-resolution inventory of biomass burning emissions in tropical continents from2001–2017 based on satellite observations,” J. Clean. Prod., vol. 270, p. 122511,2020. Search in Google Scholar

[51] V. V. Paunu et al., “Spatial distribution of residential wood combustionemissions in the Nordic countries: How well national inventories represent localemissions?,” Atmos. Environ., vol. 264, no. October 2020, 2021. Search in Google Scholar

[52] P. Jiang, X. Zhong, and L. Li, “On-road vehicle emission inventory and itsspatio-temporal variations,” Environ. Pollut., vol. 267, p. 115639, 2020. Search in Google Scholar

[53] Y. Zhao, Y. Xia, and Y. Zhou, “Assessment of a high-resolution NO Xemission inventory using satellite observations : A case study of southern Jiangsu,China,” Atmos. Environ., vol. 190, no. X, pp. 135–145, 2018. Search in Google Scholar

[54] M. Zhou, W. Jiang, W. Gao, B. Zhou, and X. Liao, “A high spatiotemporalresolution anthropogenic VOC emission inventory for Qingdao City in 2016 and itsozone formation potential analysis,” Process Saf. Environ. Prot., vol. 139, pp. 147–160, 2020. Search in Google Scholar

[55] H. C. Frey and J. Zheng, “Quantification of Variability and Uncertainty in AirPollutant Emission Inventories: Method and Case Study for Utility NO x EmissionsQuantification of Variability and Uncertainty in Air Pollutant Emission Inventories :Method and Case Study for Utility N,” J. Air Waste Manage. Assoc., no. 52, pp.1083–1095, 2011. Search in Google Scholar

[56] R. Zhang, “High-resolution ammonia emission inventories withcomprehensive analysis and evaluation in Henan, China, 2006–2016,” Atmos.Environ., vol. 193, pp. 11–23, 2018. Search in Google Scholar

[57] A. Leclerc, S. Sala, M. Secchi, and A. Laurent, “Building national emissioninventories of toxic pollutants in Europe,” Environ. Int., vol. 130, no. March, p.104785, 2019. Search in Google Scholar

[58] Clarivate, “Journal Impact Factor,” Journal Citation Reports, Web ofScience Group, 2021. [Online]. Available:https://clarivate.com/webofsciencegroup/solutions/journal-citation-reports/?gclid=CjwKCAjwtcCVBhA0EiwAT1fY7xpDAokCMFI1PD5UUTpJC3ZTXvEfYOtdSa0qZAOezhytcv2hWGbW1BoCLDkQAvD_BwE. Search in Google Scholar

[59] K. Chen et al., “Summertime O 3 and related health risks in the north Chinaplain : A modeling study using two anthropogenic emission inventories,” Atmos.Environ., no. October, p. 118087, 2020. Search in Google Scholar

[60] A. Elessa Etuman and I. Coll, “OLYMPUS v1.0: Development of anintegrated air pollutant and GHG urban emissions model-methodology andcalibration over greater Paris,” Geosci. Model Dev., vol. 11, no. 12, pp. 5085–5111,2018. Search in Google Scholar

[61] T. L. Vaughn et al., “Temporal variability largely explains top-down/bottom-up difference in methane emission estimates from a natural gasproduction region,” Proc. Natl. Acad. Sci. U. S. A., vol. 115, no. 46, pp. 11712–11717, 2018. Search in Google Scholar

[62] P. Thunis, B. Degraeuwe, K. Cuvelier, M. Guevara, L. Tarrason, and A.Clappier, “A novel approach to screen and compare emission inventories,” Air Qual.Atmos. Heal., no. March, pp. 325–333, 2016. Search in Google Scholar

[63] JRC - Joint Research Centre, “FAIRMODE - Forum for Air quality Modeling.”[Online]. Available: https://fairmode.jrc.ec.europa.eu/home/index. [Accessed: 07-Jul-2022]. Search in Google Scholar

[64] D. G. Streets et al., “Emissions estimation from satellite retrievals: A reviewof current capability,” Atmos. Environ., vol. 77, pp. 1011–1042, Oct. 2013. Search in Google Scholar

[65] O. E. Salmon et al., “Top-Down Estimates of NOxand CO EmissionsFromWashington, D.C.-Baltimore During theWINTER Campaign,” J. GeophisicalRes. Atmos., no. 10.1029/2018JD028539, pp. 7705–7724. Search in Google Scholar

[66] M. Hoogwijk et al., “Sectoral Emission Mitigation Potentials: ComparingBottom-Up and Top-Down Approaches,” Toshihiko Masui. Search in Google Scholar

[67] P. Jiang, X. Chen, Q. Li, H. Mo, and L. Li, “High-resolution emissioninventory of gaseous and particulate pollutants in Shandong Province, easternChina,” J. Clean. Prod., vol. 259, p. 120806, 2020. Search in Google Scholar

[68] Slovenian Environment Agency, “Slovenian Informative Inventory Report2020,” Ljubljana, 2020. Search in Google Scholar