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• W3048267882 abstract "Global fossil fuel carbon dioxide (FFCO2) emissions will be dictated to a great degree by the trajectory of emissions from urban areas. Conventional methods to quantify urban FFCO2 emissions typically rely on self-reported economic/energy activity data transformed into emissions via standard emission factors. However, uncertainties in these traditional methods pose a roadblock to implementation of effective mitigation strategies, independently monitor long-term trends, and assess policy outcomes. Here, we demonstrate the applicability of the integration of a dense network of greenhouse gas sensors with a science-driven building and street-scale FFCO2 emissions estimation through the atmospheric CO2 inversion process. Whole-city FFCO2 emissions agree within 3% annually. Current self-reported inventory emissions for the city of Indianapolis are 35% lower than our optimal estimate, with significant differences across activity sectors. Differences remain, however, regarding the spatial distribution of sectoral FFCO2 emissions, underconstrained despite the inclusion of coemitted species information." @default.
• W3048267882 created "2020-08-13" @default.
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• W3048267882 date "2020-08-06" @default.
• W3048267882 modified "2023-10-14" @default.
• W3048267882 title "Policy-Relevant Assessment of Urban CO₂ Emissions" @default.
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• W3048267882 doi "https://doi.org/10.1021/acs.est.0c00343" @default.
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