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Cited by 449

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

The urgency of the development of CO 2 capture from ambient air

Open access
Lackner, Klaus S., Brennan, Sarah, Matter, Jürg M., Park, A.-H. Alissa, Wright, Allen, van der Zwaan, Bob·2012·Proceedings of the National Academy of Sciences

Abstract

CO 2 capture and storage (CCS) has the potential to develop into an important tool to address climate change. Given society’s present reliance on fossil fuels, widespread adoption of CCS appears indispensable for meeting stringent climate targets. We argue that for conventional CCS to become a successful climate mitigation technology—which by necessity has to operate on a large scale—it may need to be complemented with air capture, removing CO 2 directly from the atmosphere. Air capture of CO 2 could act as insurance against CO 2 leaking from storage and furthermore may provide an option for dealing with emissions from mobile dispersed sources such as automobiles and airplanes.

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Crossref · 10.1073/pnas.1108765109

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Metadata

Authors
Lackner, K. S., Brennan, S., Matter, J. M., Park, A.-H. A., Wright, A., & van der Zwaan, B.
Venue
Proceedings of the National Academy of Sciences
Published
2012-07-27
Volume
109
Issue
33
Pages
13156-13162
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2112358649
Cited by
449
References
4
FWCI
41.16
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The urgency of the development of CO 2 capture from ambient air. https://app.cochat.ai/papers/10.1073/pnas.1108765109
The paper
Lackner, K. S., Brennan, S., Matter, J. M., Park, A.-H. A., Wright, A., & van der Zwaan, B. (2012). The urgency of the development of CO 2 capture from ambient air. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1108765109

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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.