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Cited by 492

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Future air pollution in the Shared Socio-economic Pathways

Open access
Rao, Shilpa, Klimont, Zbigniew, Smith, Steven J., Van Dingenen, Rita, Dentener, Frank, Bouwman, Lex, Riahi, Keywan, Amann, Markus, Bodirsky, Benjamin Leon, van Vuuren, Detlef P., Aleluia Reis, Lara, Calvin, Katherine, Drouet, Laurent, Fricko, Oliver, Fujimori, Shinichiro, Gernaat, David, Havlik, Petr, Harmsen, Mathijs, Hasegawa, Tomoko, Heyes, Chris, Hilaire, Jérôme, Luderer, Gunnar, Masui, Toshihiko, Stehfest, Elke, Strefler, Jessica, van der Sluis, Sietske, Tavoni, Massimo·2017·Global Environmental Change

Abstract

Emissions of air pollutants such as sulfur and nitrogen oxides and particulates have significant health impacts as well as effects on natural and anthropogenic ecosystems. These same emissions also can change atmospheric chemistry and the planetary energy balance, thereby impacting global and regional climate. Long-term scenarios for air pollutant emissions are needed as inputs to global climate and chemistry models, and for analysis linking air pollutant impacts across sectors. In this paper we present methodology and results for air pollutant emissions in Shared Socioeconomic Pathways (SSP) scenarios. We first present a set of three air pollution narratives that describe high, central, and low pollution control ambitions over the 21st century. These narratives are then translated into quantitative guidance for use in integrated assessment models. The resulting pollutant emission trajectories under the SSP scenarios cover a wider range than the scenarios used in previous international climate model comparisons. In the SSP3 and SSP4 scenarios, where economic, institutional and technological limitations slow air quality improvements, global pollutant emissions over the 21st century can be comparable to current levels. Pollutant emissions in the SSP1 scenarios fall to low levels due to the assumption of technological advances and successful global action to control emissions.

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Metadata

Authors
Rao, S., Klimont, Z., Smith, S. J., Van Dingenen, R., Dentener, F., Bouwman, L., Riahi, K., Amann, M., Bodirsky, B. L., van Vuuren, D. P., Aleluia Reis, L., Calvin, K., Drouet, L., Fricko, O., Fujimori, S., Gernaat, D., Havlik, P., Harmsen, M., Hasegawa, T., Heyes, C., Hilaire, J., Luderer, G., Masui, T., Stehfest, E., Strefler, J., van der Sluis, S., & Tavoni, M.
Venue
Global Environmental Change
Publisher
Elsevier BV
Published
2017-01
Volume
42
Pages
346-358
ISSN
0959-3780 (ISSN-L)
OpenAlex
W2511435023
Cited by
492
References
9
FWCI
61.91
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Future air pollution in the Shared Socio-economic Pathways. https://app.cochat.ai/papers/10.1016/j.gloenvcha.2016.05.012
The paper
Rao, S., Klimont, Z., Smith, S. J., Van Dingenen, R., Dentener, F., Bouwman, L., Riahi, K., Amann, M., Bodirsky, B. L., van Vuuren, D. P., Aleluia Reis, L., Calvin, K., Drouet, L., Fricko, O., Fujimori, S., Gernaat, D., Havlik, P., Harmsen, M., Hasegawa, T., . . . Tavoni, M. (2017). Future air pollution in the Shared Socio-economic Pathways. Global Environmental Change. https://doi.org/10.1016/j.gloenvcha.2016.05.012

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.