HTAP_v2.2: a mosaic of regional and global emission grid maps for 2008 and 2010 to study hemispheric transport of air pollution
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Abstract
Abstract. The mandate of the Task Force Hemispheric Transport of Air Pollution (TF HTAP) under the Convention on Long-Range Transboundary Air Pollution (CLRTAP) is to improve the scientific understanding of the intercontinental air pollution transport, to quantify impacts on human health, vegetation and climate, to identify emission mitigation options across the regions of the Northern Hemisphere, and to guide future policies on these aspects. The harmonization and improvement of regional emission inventories is imperative to obtain consolidated estimates on the formation of global-scale air pollution. An emissions data set has been constructed using regional emission grid maps (annual and monthly) for SO2, NOx, CO, NMVOC, NH3, PM10, PM2.5, BC and OC for the years 2008 and 2010, with the purpose of providing consistent information to global and regional scale modelling efforts. This compilation of different regional gridded inventories – including that of the Environmental Protection Agency (EPA) for USA, the EPA and Environment Canada (for Canada), the European Monitoring and Evaluation Programme (EMEP) and Netherlands Organisation for Applied Scientific Research (TNO) for Europe, and the Model Inter-comparison Study for Asia (MICS-Asia III) for China, India and other Asian countries – was gap-filled with the emission grid maps of the Emissions Database for Global Atmospheric Research (EDGARv4.3) for the rest of the world (mainly South America, Africa, Russia and Oceania). Emissions from seven main categories of human activities (power, industry, residential, agriculture, ground transport, aviation and shipping) were estimated and spatially distributed on a common grid of 0.1° × 0.1° longitude-latitude, to yield monthly, global, sector-specific grid maps for each substance and year. The HTAP_v2.2 air pollutant grid maps are considered to combine latest available regional information within a complete global data set. The disaggregation by sectors, high spatial and temporal resolution and detailed information on the data sources and references used will provide the user the required transparency. Because HTAP_v2.2 contains primarily official and/or widely used regional emission grid maps, it can be recommended as a global baseline emission inventory, which is regionally accepted as a reference and from which different scenarios assessing emission reduction policies at a global scale could start. An analysis of country-specific implied emission factors shows a large difference between industrialised countries and developing countries for acidifying gaseous air pollutant emissions (SO2 and NOx) from the energy and industry sectors. This is not observed for the particulate matter emissions (PM10, PM2.5), which show large differences between countries in the residential sector instead. The per capita emissions of all world countries, classified from low to high income, reveal an increase in level and in variation for gaseous acidifying pollutants, but not for aerosols. For aerosols, an opposite trend is apparent with higher per capita emissions of particulate matter for low income countries.
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Figure 2 provides an example of discrepancies between three recent BC emission inventories in the Eurasian Arctic: the Arctic Black Carbon data set, ECLIPSEv5, and HTAPv2.
“Figure 2 provides an example of discrepancies between three recent BC emission inventories in the Eurasian Arctic: the Arctic Black Carbon data set (Huang et al., 2015), Evaluating the Climate and Air Quality Impacts of Short-Lived Pollutants version 5 (ECLIPSEv5) emissions (Stohl et al., 2015), and the Hemispheric Transport of Air Pollution version 2 (HTAPv2) inventory (Janssens-Maenhout et al.,”
From Local Arctic Air Pollution: A Neglected but Serious Problem (2018) · cites this paper as Janssens-Maenhout et al., 2015
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Lamarque, J.-F., Bond, T. C., Eyring, V., Granier, C., Heil, A., Klimont, Z., Lee, D., Liousse, C., Mieville, A., Owen, B., et al. (2010) · Atmospheric Chemistry and Physics · doi:10.5194/acp-10-7017-2010 · Cited by 2,105 · see citing works
Self-citationHousehold Light Makes Global Heat: High Black Carbon Emissions From Kerosene Wick Lamps
Lam, N. L., Chen, Y., Weyant, C., Venkataraman, C., Sadavarte, P., Johnson, M. A., Smith, K. R., Brem, B. T., Arineitwe, J., Ellis, J. E., et al. (2012) · Environmental Science & Technology · doi:10.1021/es302697h · Cited by 152 · see citing works
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Research works printed but not linked: 31
- Anderson, S. T., Parry, I. W. H., Sallee, J. M., and Fischer, C.: Automobile Fuel Economy Standards: Impacts, Efficiency, and Alternatives, Rev. Environ. Econom. Pol., 5, 89-108, doi:10.1093/reep/req021, 2011. · DOI
- Andres, R. J., Boden, T. A., Bréon, F.-M., Ciais, P., Davis, S., Erickson, D., Gregg, J. S., Jacobson, A., Marland, G., Miller, J., Oda, T., Olivier, J. G. J., Raupach, M. R., Rayner, P., and Treanton, K.: A synthesis of carbon dioxide emissions from fossil-fuel combustion, Biogeosciences, 9, 1845-1871, doi:10.5194/bg-9-18452012, 2012. · DOI
- Balsama, A., De Biase, L., Janssens-Maenhout, G., and Pagliari, V.: Near-term forecast of anthropogenic emission trends using neural networks, J. Atmos. Environ., 89, 581-592, doi:10.1016/j.atmosenv.2014.02.046, 2014. · DOI
- Boitier, B.: CO2 emissions production-based accounting vs consumption: Insights from the WIOD databases, WIOD Final Conference - Causes and Consequences of Globalization, Groningen, 24-26 April, 2012.
- Carmichael, G. R., Sakurai, T., Streets, D., Hozumi, Y., Ueda, H., Park, S. U., Funge, C., Han, Z., Kajino, M., Engardt, M., Bennet, C., Hayami, H., Sartelet, K., Holloway, T., Wang, Z., Kannari, A., Fu, J., and Matsuda, K.: Thongboonchoo, N., Amann, M.: MICS-Asia II: The model intercomparison study for Asia Phase II methodology and overview of findings, Atmos. Environ., 42, 3468-3490, doi:10.1016/j.atmosenv.2007.04.007, 2008. · DOI
- Davis, S. J., Peters, G. P., and Caldeira, K.: The Supply Chain of CO2 Emissions, P. Natl. Acad. Sci. USA, 108, 18554-18559, doi:10.1073/pnas.1107409108, 2011. · DOI
- Galmarini, S., Rao, S. T., and Steyn, D.: Preface: Special issue of Atmospheric Environment for AQMEII. Atm. Env. Elsevier Science Ltd, New York, NY, 53, 1-3, 2012.
- Gregg, J. S., Andres, R. J., and Marland, G.: China: Emissions pattern of the world leader in CO 2 emissions from fossil fuel consumption and cement production, Geophys. Res. Lett., 35, L08806, doi:10.1029/2007gl032887, 2008. · DOI
- Huang, X., Song, Y., Li, M., Li, J., Huo, Q., Cai, X., Zhu, T., Hu, M., and Zhang, H.: A high-resolution ammonia emission inventory in China, Global Biogeochem. Cy., 26, GB1030, doi:10.1029/2011GB004161, 2012. · DOI
- IPCC: Climate Change 2014: Mitigation of Climate Change. Contribution of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Edenhofer, O., Pichs-Madruga, R., Sokona, Y., Farahani, E., Kadner, S., Seyboth, K., Adler, A., Baum, I., Brunner, S., Eickemeier, P., Kriemann, P., Savolainen, J., Schlömer, S., von Stechow, C., Zwickel, T., and Minx J. C., Cambridge University Press, Cambridge, UK and New York, NY, USA, 2014.
- Janssens-Maenhout, G., Dentener, F., van Aardenne, J., Monni, S., Pagliari, V., Orlandini, L., Klimont, Z., Kurokawa, J., Akimoto, H., Ohara, T., Wankmüller, R., Battye, B., Grano, D., Zuber, A., and Keating, T.: EDGAR-HTAP: a harmonized gridded air pollution emission dataset based on national inventories, EUR 25229 EN Report, ISBN 978-92-79-23122-3, ISSN 1018-5593, doi:10.2788/14069, 2012. · DOI
- Janssens-Maenhout, G., Pagliari, V., Guizzardi, D., and Muntean, M.: Global emission inventories in the Emission Database for Global Atmospheric Research (EDGAR) - Manual (I): Gridding: EDGAR emissions distribution on global gridmaps, JRC Report, EUR 25785 EN, ISBN 978-92-79-28283-6, doi:10.2788/81454, 2013. · DOI
- Jonas, M., Marland, G., Winiwarter, W., White, T., Nahorski, Z., Bun, R., and Nilsson, S.: Benefits of dealing with uncertainty in greenhouse gas inventories: introduction, Climatic Change, 103, 3-18, doi:10.1007/s10584-010-9922-6, 2010. · DOI
- Klimont, Z., Smith, S., and Cofala, J.: The last decade of global anthropogenic sulfur dioxide: 2000-2011 emissions, Environ. Res. Lett., 8, 014003, doi:10.1088/1748-9326/8/1/014003/, 2013. · DOI
- Kuenen, J. J. P., Visschedijk, A. J. H., Jozwicka, M., and Denier van der Gon, H. A. C.: TNO-MACC\_II emission inventory: a multiyear (2003-2009) consistent high-resolution European emission inventory for air quality modelling, Atmos. Chem. Phys. Discuss., 14, 5837-5869, doi:10.5194/acpd-14-5837-2014, 2014. · DOI
- Kurokawa, J., Ohara, T., Morikawa, T., Hanayama, S., Greet, J.M., Fukui, T., Kawashima, K., and Akimoto, H.: Emissions of air pollutants and greenhouse gases over Asian regions during 2000-2008: Regional Emission inventory in ASia (REAS) version 2, Atmos. Chem. Phys. Discuss., 13, 10049-10123, doi:10.5194/acpd-13-10049-2013, 2013. · DOI
- Leip, A., Achermann, B., Billen, G., Bleeker, A., Bouwman, A.F., de Vries, W., Dragosits, U., Döring, U., Fernall, D., Geupel, M., Herolstab, J., Johnes, P., Le Gall, A.C., Monni, S., Neveˇ ceˇ ral, R., Orlandini, L., Prud'homme, M., Reuter, H.I., Simpson, D., Seufert, G., Spranger, T., Sutton, M. A., van Aardenne, J., Voß, M., and Winiwarter, W.: Integrating nitrogen fluxes at the European scale, Chapter 16 in The European Nitrogen Assessment edited by: Sutton, M. A., Howard, C. M., Erisman, J. W., Billen, G., Bleeker, A., Grennfelt, P., van Grinsven, H., and Grizzetti, B., Cambridge University Press, Cambridge, 2011.
- Lu, Z., Zhang, Q., and Streets, D. G.: Sulfur dioxide and primary carbonaceous aerosol emissions in China and India, 1996-2010, Atmos. Chem. Phys., 11, 9839-9864, doi:10.5194/acp-11-98392011, 2011. · DOI
- Mareckova, K., Wankmueller, R., Moosmann, L., and Pinterits, M.: Inventory Review 2013: Review of emission data reported under the LRTAP Convention and NEC Directive: Stage 1 and 2 review, Status of gridded and LPS data, EMEP/EEA, Technical Report CEIP 1/2013, 2013.
- Marland, G., Brenkert, A., and Olivier, J.: CO2 from fossil fuel burning: a comparison of ORNL and EDGAR estimates of national emissions, Environ. Sci. Policy, 2, 265-273, doi:10.1016/S1462-9011(99)00018-0, 1999. · DOI
- Olivier, J. G. J.: On the Quality of Global Emission Inventories: Approaches, Methodologies, Input Data and Uncertainties, PhD thesis, University Utrecht, Utrecht, ISBN 90-393-3103-0, 2002.
- Olivier, J. G. J. and Janssens-Maenhout, G.: CO 2 Emissions from Fuel Combustion - 2012 Edition, IEA CO 2 report 2012, Part III, Greenhouse-Gas Emissions, ISBN 978-92-64-17475-7, 2012.
- Pouliot, G., Keating, T., Janssens-Maenhout, G., Chang, C., Beidler, J., and Cleary, R.: The Incorporation of the US National Emission Inventory into Version 2 of the Hemispheric Transport of Air Pollutants Inventory, in Air Pollution Modeling and its Application XXIII, edited by: Steyn, D. and Mathur, R., 265-268, Springer International Publishing, USA, 2014.
- Pouliot, G., Denier van der Gon, H. A. D., Kuenen, J., Zhang, J., Moran, M. D., and Makar, P. A.: Analysis of the emission inventories and model-ready emission datasets of Europe and North America for phase 2 of the AQMEII project, J. Atmos. Environ., 115, 345-360, doi:10.1016/j.atmosenv.2014.10.061, 2015. · DOI
- Rufino, M. C., Brandt, P., Herrero, M., and Butterback-Bahl, K.: Reducing uncertainty in nitrogen budgets for African livestock systems, Environ. Res. Lett., 9, 105008, doi:10.1088/17489326/9/10/105008, 2014. · DOI
- Streets, D., van Aardenne, J., Battye, B., Garivait, S., Grano, D., Guenther, A., Klimont, Z., Lamarque, J.-F., Lu, Z., JanssensMaenhout, G., Ohara, T., Parrish, D., Smith, S., and Vallack, H.: HTAP Report, Part A: Chapter 3: Emission Inventories and Projections, in: Air pollution studies No. 17 of the UNECE, Hemispheric Transport of Air Pollution 2010, Part A: Ozone and Particulate Matter, edited by: Dentener, F., Keating, T, and Akimoto, H., ISBN 978-92-1-117043-62010.
- van der Werf, G. R., Randerson, J. T., Giglio, L., Collatz, G. J., Mu, M., Kasibhatla, P. S., Morton, D. C., DeFries, R. S., Jin, Y., and van Leeuwen, T. T.: Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (19972009), Atmos. Chem. Phys., 10, 11707-11735, doi:10.5194/acp10-11707-2010, 2010. · DOI
- van Vuuren, D. P., Edmonds, J., Kainuma, M., Riahi, K., Thomson, A., Hibbard, K., Hurtt, G. C., Kram, T., Krey, V., Lamarque, J.-F., Matsui, T., Meinshausen, M., Nakicenovic, N., Smith, S. J., and Rose, S. K.: The representative concentration pathways: an overview, Climatic Change, , 109, 5-31, doi:10.1007/s10584011-0148-z, 2011. · DOI
- Wang, S. X., Zhao, B., Cai, S. Y., Klimont, Z., Nielsen, C. P., Morikawa, T., Woo, J. H., Kim, Y., Fu, X., Xu, J. Y., Hao, J. M., and He, K. B.: Emission trends and mitigation options for air pollutants in East Asia, Atmos. Chem. Phys., 14, 6571-6603, doi:10.5194/acp-14-6571-2014, 2014. · DOI
- Weng, Z., Mudd, G. M., Martin, T., and Boyle, C. A.: Pollutant loads from coal mining in Australia: Discerning trends from the National Pollutant Inventory (NPI), Environ. Sci. Pollut., 19-20, 78, doi:10.1016/j.envsci.2012.03.003, 2012. · DOI
- Yevich, R. and Logan, J. A.: An assessment of biofuel use and burning of agricultural waste in the developing world, Global Biogeochem. Cy., 17, 1095, doi:10.1029/2002GB001952, 2003. · DOI
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- Authors
- Janssens-Maenhout, G., Crippa, M., Guizzardi, D., Dentener, F., Muntean, M., Pouliot, G., Keating, T., Zhang, Q., Kurokawa, J., Wankmüller, R., Denier van der Gon, H., Kuenen, J. J. P., Klimont, Z., Frost, G., Darras, S., Koffi, B., & Li, M.
- Affiliations
- European Commission (BE)
- Environmental Protection Agency (US)
- Tsinghua University (CN)
- Asia Center for Air Pollution Research (JP)
- Environment Agency Austria (AT)
- Netherlands Organisation for Applied Scientific Research (NL)
- International Institute for Applied Systems Analysis (AT)
- Cooperative Institute for Research in Environmental Sciences (US)
- Centre National de la Recherche Scientifique (FR)
- State Key Joint Laboratory of Environment Simulation and Pollution Control (CN)
- ORCID
- Venue
- Atmospheric Chemistry and Physics
- Publisher
- Copernicus GmbH
- Published
- 2015-10-15
- Volume
- 15
- Issue
- 19
- Pages
- 11411-11432
- ISSN
- 1680-7316 (ISSN-L)
- 1680-7324
- OpenAlex
- W1978316624
- Cited by
- 978
- References
- 2
- Citations by year
- 2026: 41 · 2025: 66 · 2024: 76 · 2023: 85 · 2022: 146 · 2021: 213 · 2020: 109 · 2019: 74 · 2018: 86 · 2017: 46 · 2016: 29 · 2015: 6 · 2012: 1
- FWCI
- 38.69
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Atmospheric chemistry and physics (publishedVersion, cc-by)
- IIASA PURE (International Institute of Applied Systems Analysis) (acceptedVersion)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- NOAA Institutional Repository (submittedVersion)
- Joint Research Centre (European Commission) (submittedVersion)
- Repository hosted by TU Delft Library (TU Delft) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- Directorate-General for the Environment
- Topics
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Atmospheric chemistry and aerosols
- Physical Sciences › Environmental Science › Global and Planetary Change › Atmospheric and Environmental Gas Dynamics
- Physical Sciences › Environmental Science › Pollution › Environmental Policies and Emissions
- Keywords
- gridded emission inventory, implied emission factor, sectoral emissions, power sector emissions, industrial emissions, greenhouse gas emissions, SO2, NOx, non-methane volatile organic compounds
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