Cost-effective control of air quality and greenhouse gases in Europe: Modeling and policy applications

By Markus Amann, Imrich Bertok, J. Borken-Kleefeld, Janusz Cofala, C. Heyes, L. Höglund-Isaksson, Zbigniew Klimont, B. Nguyen, M. Posch, P. Rafaj and 4 more. Environmental Modelling & Software, 2011

839 citations recorded by the source corpus.

Subfields: Atmospheric Science, Economics and Econometrics, Health, Toxicology and Mutagenesis

View Paper: https://www.semanticscholar.org/paper/58c3ea890dc20c7929293d20acce0a6854135d0d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. M. Brauer
2. Zbigniew Klimont
3. Randall V. Martin
4. Steven J. Smith
5. Elmar Kriegler
6. Janusz Cofala
7. Shinichiro Fujimori

In Economics and Econometrics

1. Gunnar Luderer
2. Elmar Kriegler
3. Keywan Riahi
4. D. P. Vuuren
5. R. Pietzcker
6. Shinichiro Fujimori
7. Toshihiko Masui
8. Katherine Calvin

In Health, Toxicology and Mutagenesis

1. Ernst Worrell
2. Yong Geng
3. M. Brauer
4. D. P. Vuuren
5. Massimo Tavoni

Citations in the corpus

• Pursuing air pollutant co-benefits of CO 2 mitigation in China: A provincial leveled analysis (2015, methodology): “It provides a consistent framework for estimating emissions, mitigation potentials, and costs for air pollutants (SO2, NOx, PM, NH3, NMVOC) and greenhouse gases included in the Kyoto protocol [42,43].”
• Future air pollution in the Shared Socio-economic Pathways (2017, methodology): “…guidance on a dataset of regional emission factors (i.e., emissions per unit of energy) for energyrelated combustion and transformation sectors until 2030 based on current policies and technological options derived from the GAINS model (Amann et al., 2011, Klimont et al., in Preparation).”
• Co-benefits of energy efficiency improvement and air pollution abatement in the Chinese iron and steel industry (2014, methodology): “It has been widely used to investigate future emission reduction potentials and related costs on regional and national levels, including China, which might provide directions to tackle various environmental issues [41,42].”
• Anthropogenic fugitive, combustion and industrial dust is a significant, underrepresented fine particulate matter source in global atmospheric models (2017, methodology): “Klimont et al (2016) developed this inventory with the GAINS (Greenhouse gas—Air pollution Interactions and Synergies) model (Amann et al 2011) for the European Union funded project ECLIPSE (Evaluating the Climate and Air Quality Impacts of Short-Lived Pollutants) (Stohl et al 2015,…”
• Technical potentials and costs for reducing global anthropogenic methane emissions in the 2050 timeframe –results from the GAINS model (2020, methodology): “…abatement and cost pathways for reducing global CH4 emissions in the 2020–2050 timeframe, breaking reductions down to regional and sector levels using themost recent version of IIASA’s Greenhouse gas andAir pollution Interactions and Synergies (GAINS)model (Amann et al 2011), denotedGAINSv4 (2019).”