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Space-based quantification of per capita CO 2 emissions from cities

Bibliographic Data

ID15544331
AuthorsDien Wu (0000-0002-2915-5335, University of Utah, corresponding author), John C Lin (0000-0003-2794-184X, University of Utah), Tomohiro Oda (0000-0002-8328-3020, Goddard Space Flight Center), E A Kort (0000-0003-4940-7541, University of Michigan)
Year2020
Volume15
Issue3
Pages035004-035004
Publication date2020-01-08
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/ab68eb
OpenAlexW3000132169
LanguageEN
Citations received15
References cited36

Urban areas are currently responsible for ∼70% of the global energy-related carbon dioxide (CO 2 ) emissions, and rapid ongoing global urbanization is increasing the number and size of cities. Thus, understanding city-scale CO 2 emissions and how they vary between cities with different urban densities is a critical task. While the relationship between CO 2 emissions and population density has been explored widely in prior studies, their conclusions were sensitive to inconsistent definitions of urban boundaries and the reliance upon CO 2 emission inventories that implicitly assumed population relationships. Here we provide the first independent estimates of direct per capita CO 2 emissions ( E pc ) from spaceborne atmospheric CO 2 measurements from the Orbiting Carbon Observatory-2 (OCO-2) for a total 20 cities across multiple continents. The analysis accounts for the influence of meteorology on the satellite observations with an atmospheric model. The resultant upwind source region sampled by the satellite serves as an objective urban extent for aggregating emissions and population densities. Thus, we are able to detect emission ‘hotspots’ on a per capita basis from a few cities, subject to sampling restrictions from OCO-2. Our results suggest that E pc declines as population densities increase, albeit the decrease in E pc is partially limited by the positive correlation between E pc and per capita gross domestic product. As additional CO 2 -observing satellites are launched in the coming years, our space-based approach to understanding CO 2 emissions from cities has significant potential in tracking and evaluating the future trajectory of urban growth and informing the effects of carbon reduction plans

Atmospheric sciences · Climatology · Economic growth · Economics · Geography · Greenhouse gas · Gross domestic product · Meteorology · Per capita · Physical geography · Physics · Population · Satellite · Urbanization · Air Quality and Health Impacts · Atmospheric and Environmental Gas Dynamics · Environmental Science · Impact of Light on Environment and Health · Demography

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Unique citing works15
Citations per year2,5
Citation span2020 - 2025 (6)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 15

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