The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Quantification of Fossil Fuel CO2 Emissions on the Building/Street Scale for a Large U.S. City
Abstract
In order to advance the scientific understanding of carbon exchange with the land surface, build an effective carbon monitoring system, and contribute to quantitatively based U.S. climate change policy interests, fine spatial and temporal quantification of fossil fuel CO(2) emissions, the primary greenhouse gas, is essential. Called the "Hestia Project", this research effort is the first to use bottom-up methods to quantify all fossil fuel CO(2) emissions down to the scale of individual buildings, road segments, and industrial/electricity production facilities on an hourly basis for an entire urban landscape. Here, we describe the methods used to quantify the on-site fossil fuel CO(2) emissions across the city of Indianapolis, IN. This effort combines a series of data sets and simulation tools such as a building energy simulation model, traffic data, power production reporting, and local air pollution reporting. The system is general enough to be applied to any large U.S. city and holds tremendous potential as a key component of a carbon-monitoring system in addition to enabling efficient greenhouse gas mitigation and planning. We compare the natural gas component of our fossil fuel CO(2) emissions estimate to consumption data provided by the local gas utility. At the zip code level, we achieve a bias-adjusted Pearson r correlation value of 0.92 (p < 0.001).
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Global Change and the Ecology of Cities
Grimm, N. B., Faeth, S. H., Golubiewski, N. E., Redman, C. L., Wu, J., Bai, X., & Briggs, J. M. (2008) · Science · doi:10.1126/science.1150195 · Cited by 7,139
Canadell, J. G., Le Quéré, C., Raupach, M. R., Field, C. B., Buitenhuis, E. T., Ciais, P., Conway, T. J., Gillett, N. P., Houghton, R. A., & Marland, G. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0702737104 · Cited by 2,136
Bocquier, P. (2005) · Demographic Research · doi:10.4054/demres.2005.12.9 · Cited by 1,746
The Changing Metabolism of Cities
Kennedy, C., Cuddihy, J., & Engel‐Yan, J. (2007) · Journal of Industrial Ecology · doi:10.1162/jie.2007.1107 · Cited by 1,262
Cities and the Multilevel Governance of Global Climate Change
Betsill, M. M., & Bulkeley, H. (2006) · Global Governance: A Review of Multilateralism and International Organizations · doi:10.1163/19426720-01202004 · Cited by 819
Cities lead the way in climate–change action
Rosenzweig, C., Solecki, W., Hammer, S. A., & Mehrotra, S. (2010) · Nature · doi:10.1038/467909a · Cited by 770
Oda, T., & Maksyutov, S. (2011) · Atmospheric Chemistry and Physics · doi:10.5194/acp-11-543-2011 · Cited by 640
High Resolution Fossil Fuel Combustion CO2 Emission Fluxes for the United States
Gurney, K. R., Mendoza, D. L., Zhou, Y., Fischer, M. L., Miller, C. C., Geethakumar, S., & de la Rue du Can, S. (2009) · Environmental Science & Technology · doi:10.1021/es900806c · Cited by 467
Self-citationMethodology for inventorying greenhouse gas emissions from global cities
Kennedy, C., Steinberger, J., Gasson, B., Hansen, Y., Hillman, T., Havránek, M., Pataki, D., Phdungsilp, A., Ramaswami, A., & Mendez, G. V. (2010) · Energy Policy · doi:10.1016/j.enpol.2009.08.050 · Cited by 467
Climate forcings in the Industrial era
Hansen, J. E., Sato, M., Lacis, A., Ruedy, R., Tegen, I., & Matthews, E. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.22.12753 · Cited by 417
E NERGY AND M ATERIAL F LOW T HROUGH THE U RBAN E COSYSTEM
Decker, E. H., Elliott, S., Smith, F. A., Blake, D. R., & Rowland, F. S. (2000) · Annual Review of Energy and the Environment · doi:10.1146/annurev.energy.25.1.685 · Cited by 378
Twelve metropolitan carbon footprints: A preliminary comparative global assessment
Sovacool, B. K., & Brown, M. A. (2010) · Energy Policy · doi:10.1016/j.enpol.2009.10.001 · Cited by 357
Olivier, J. G. J., Van Aardenne, J. A., Dentener, F. J., Pagliari, V., Ganzeveld, L. N., & Peters, J. A. H. W. (2005) · Environmental Sciences · doi:10.1080/15693430500400345 · Cited by 356
America's bottom-up climate change mitigation policy
Lutsey, N., & Sperling, D. (2008) · Energy Policy · doi:10.1016/j.enpol.2007.10.018 · Cited by 348
A Demand-Centered, Hybrid Life-Cycle Methodology for City-Scale Greenhouse Gas Inventories
Ramaswami, A., Hillman, T., Janson, B., Reiner, M., & Thomas, G. (2008) · Environmental Science & Technology · doi:10.1021/es702992q · Cited by 337
Greenhouse Gas Emission Footprints and Energy Use Benchmarks for Eight U.S. Cities
Hillman, T., & Ramaswami, A. (2010) · Environmental Science & Technology · doi:10.1021/es9024194 · Cited by 315
Andres, R. J., Marland, G., Fung, I., & Matthews, E. (1996) · Global Biogeochemical Cycles · doi:10.1029/96gb01523 · Cited by 301
Carbon Trading: A Review of the Kyoto Mechanisms
Hepburn, C. (2007) · Annual Review of Environment and Resources · doi:10.1146/annurev.energy.32.053006.141203 · Cited by 256
Parshall, L., Gurney, K., Hammer, S. A., Mendoza, D., Zhou, Y., & Geethakumar, S. (2010) · Energy Policy · doi:10.1016/j.enpol.2009.07.006 · Cited by 255
Self-citationRayner, P. J., Raupach, M. R., Paget, M., Peylin, P., & Koffi, E. (2010) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2009jd013439 · Cited by 170
Turnbull, J. C., Rayner, P. J., Miller, J. B., Naegler, T., Ciais, P., & Cozic, A. (2009) · Journal of Geophysical Research Atmospheres · doi:10.1029/2009jd012308 · Cited by 154
Verifying Greenhouse Gas Emissions: Methods to Support International Climate Agreements
Janssens‐Maenhout, G., Petrescu, A. M. R., Muntean, M., & Blujdea, V. N. B. (2011) · Greenhouse Gas Measurement and Management · doi:10.1080/20430779.2011.579358 · Cited by 135
Verifying Greenhouse Gas Emissions
National Research Council (2010) · National Academies Press eBooks · doi:10.17226/12883 · Cited by 124
Atmospheric observations of carbon monoxide and fossil fuel CO2emissions from East Asia
Turnbull, J. C., Tans, P. P., Lehman, S. J., Baker, D. F., Conway, T. J., Chung, Y.-S., Gregg, J. S., Miller, J. B., Southon, J. R., & Zhou, L. (2011) · Journal of Geophysical Research Atmospheres · doi:10.1029/2011jd016691 · Cited by 105
High resolution atmospheric monitoring of urban carbon dioxide sources
Pataki, D. E., Bowling, D. R., Ehleringer, J. R., & Zobitz, J. M. (2006) · Geophysical Research Letters · doi:10.1029/2005gl024822 · Cited by 103
Emission inventory for greenhouse gases in the City of Barcelona, 1987–1996
Baldasano, J. M., Soriano, C., & Boada, L. D. (1999) · Atmospheric Environment · doi:10.1016/s1352-2310(99)00086-2 · Cited by 92
The energy and mass balance of Los Angeles County
Ngo, N. S., & Pataki, D. E. (2008) · Urban Ecosystems · doi:10.1007/s11252-008-0051-1 · Cited by 81
Comparison of Two U.S. Power-Plant Carbon Dioxide Emissions Data Sets
Ackerman, K. V., & Sundquist, E. T. (2008) · Environmental Science & Technology · doi:10.1021/es800221q · Cited by 81
Riley, W. J., Hsueh, D. Y., Randerson, J. T., Fischer, M. L., Hatch, J. G., Pataki, D. E., Wang, W., & Goulden, M. L. (2008) · Journal of Geophysical Research Atmospheres · doi:10.1029/2007jg000625 · Cited by 76
Energy and CO2emission data uncertainties
Macknick, J. (2011) · Carbon Management · doi:10.4155/cmt.11.10 · Cited by 69
City carbon budgets: A proposal to align incentives for climate-friendly communities
Salon, D., Sperling, D., Meier, A., Murphy, S., Gorham, R., & Barrett, J. (2009) · Energy Policy · doi:10.1016/j.enpol.2009.12.005 · Cited by 56
High‐resolution emissions of CO2 from power generation in the USA
Petron, G., Tans, P. P., Frost, G. J., Chao, D. Y., & Trainer, M. (2008) · Journal of Geophysical Research Atmospheres · doi:10.1029/2007jg000602 · Cited by 45
Cited by
The carbon footprint of household energy use in the United States
Goldstein, B., Gounaridis, D., & Newell, J. P. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1922205117 · Cited by 363
Metadata
- Authors
- Gurney, K. R., Razlivanov, I., Song, Y., Zhou, Y., Benes, B., & Abdul-Massih, M.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2012-10-09
- Volume
- 46
- Issue
- 21
- Pages
- 12194-12202
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2117081239
- Cited by
- 263
- References
- 32
- FWCI
- 10.95
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.