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Title: Competition between CO 2 -philicity and Mixing Entropy Leads to CO 2 Solubility Maximum in Polyether Polyols
PAR ID:
10370418
Author(s) / Creator(s):
 ;  ;  ;  ;  ;  ;  ;  ;  ;  
Publisher / Repository:
American Chemical Society
Date Published:
Journal Name:
Industrial & Engineering Chemistry Research
Volume:
61
Issue:
34
ISSN:
0888-5885
Page Range / eLocation ID:
p. 12835-12844
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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  1. Abstract

    As the majority of fossil fuel carbon dioxide (CO2) emissions originate from cities, the use of novel techniques to leverage available satellite observations of CO2and proxy species to constrain urban CO2is of great importance. In this study, we seek to empirically determine relationships between satellite observations of CO2and the proxy species nitrogen dioxide (NO2), applying these relationships to NO2fields to generate NO2‐derived CO2fields (NDCFs) from which CO2emissions can be estimated. We first establish this method using simulations of CO2and NO2for the cities of Buenos Aires, Melbourne, and Mexico City, finding that the method is viable throughout the year. For the same three cities, we next calculate empirical relationships (slopes) between co‐located observations of NO2from the Tropospheric Monitoring Instrument and Snapshot Area Mode observations of CO2from Orbiting Carbon Observatory‐3. Applying varying combinations of slopes to generate NDCFs, we evaluate methodological uncertainties for each slope application method and use a simple mass balance method to estimate CO2emissions from NDCFs. We demonstrate monthly urban CO2emissions estimates that are comparable to emissions inventory estimates. We additionally prove the utility of our method by demonstrating how large uncertainties at a grid cell level (equivalent to ∼1–3 ppm) can be reduced substantially when aggregating emissions estimates from NDCFs generated from all NO2swaths (about 1%–6%). Rather than rely on prior knowledge of emission ratios, our method circumvents such assumptions and provides a valuable observational constraint on urban CO2emissions.

     
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