FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2891246164> ?p ?o ?g. }

• W2891246164 endingPage "2966" @default.
• W2891246164 startingPage "2949" @default.
• W2891246164 abstract "Abstract. Emission estimates of carbon dioxide (CO2) and methane (CH4) and the meteorological factors affecting them are investigated over Sacramento, California, using an aircraft equipped with a cavity ring-down greenhouse gas sensor as part of the Alpha Jet Atmospheric eXperiment (AJAX) project. To better constrain the emission fluxes, we designed flights in a cylindrical pattern and computed the emission fluxes from two flights using a kriging method and Gauss's divergence theorem. Differences in wind treatment and assumptions about background concentrations affect the emission estimates by a factor of 1.5 to 7. The uncertainty is also impacted by meteorological conditions and distance from the emission sources. The vertical layer averaging affects the flux estimate, but the choice of raw wind or mass-balanced wind is more important than the thickness of the vertical averaging for mass-balanced wind for both urban and local scales. The importance of vertical mass transfer for flux estimates is examined, and the difference in the total emission estimate with and without vertical mass transfer is found to be small, especially at the local scale. The total flux estimates accounting for the entire circumference are larger than those based solely on measurements made in the downwind region. This indicates that a closed-shape flight profile can better contain total emissions relative to a one-sided curtain flight because most cities have more than one point source and wind direction can change with time and altitude. To reduce the uncertainty of the emission estimate, it is important that the sampling strategy account not only for known source locations but also possible unidentified sources around the city. Our results highlight that aircraft-based measurements using a closed-shape flight pattern are an efficient and useful strategy for identifying emission sources and estimating local- and city-scale greenhouse gas emission fluxes." @default.
• W2891246164 created "2018-09-27" @default.
• W2891246164 creator A5002249004 @default.
• W2891246164 creator A5009144793 @default.
• W2891246164 creator A5011503010 @default.
• W2891246164 creator A5015985167 @default.
• W2891246164 creator A5033784639 @default.
• W2891246164 creator A5042147395 @default.
• W2891246164 creator A5052847005 @default.
• W2891246164 creator A5055128208 @default.
• W2891246164 creator A5069253813 @default.
• W2891246164 creator A5084772186 @default.
• W2891246164 creator A5086816554 @default.
• W2891246164 creator A5089679290 @default.
• W2891246164 date "2019-05-29" @default.
• W2891246164 modified "2023-10-01" @default.
• W2891246164 title "Quantification of CO&lt;sub&gt;2&lt;/sub&gt; and CH&lt;sub&gt;4&lt;/sub&gt; emissions over Sacramento, California, based on divergence theorem using aircraft measurements" @default.
• W2891246164 cites W1518142140 @default.
• W2891246164 cites W1553669260 @default.
• W2891246164 cites W1590309761 @default.
• W2891246164 cites W1604414282 @default.
• W2891246164 cites W1621068464 @default.
• W2891246164 cites W1872040042 @default.
• W2891246164 cites W1965011830 @default.
• W2891246164 cites W1967780688 @default.
• W2891246164 cites W1972194201 @default.
• W2891246164 cites W1974406003 @default.
• W2891246164 cites W2002875741 @default.
• W2891246164 cites W2004776481 @default.
• W2891246164 cites W2009846702 @default.
• W2891246164 cites W2011856520 @default.
• W2891246164 cites W2022504700 @default.
• W2891246164 cites W2028534424 @default.
• W2891246164 cites W2030298631 @default.
• W2891246164 cites W2031026202 @default.
• W2891246164 cites W2046185795 @default.
• W2891246164 cites W2048186293 @default.
• W2891246164 cites W2049959037 @default.
• W2891246164 cites W2050099183 @default.
• W2891246164 cites W2066962682 @default.
• W2891246164 cites W2086522050 @default.
• W2891246164 cites W2090466252 @default.
• W2891246164 cites W2110657261 @default.
• W2891246164 cites W2118360225 @default.
• W2891246164 cites W2123618171 @default.
• W2891246164 cites W2138051081 @default.
• W2891246164 cites W2140805694 @default.
• W2891246164 cites W2145395756 @default.
• W2891246164 cites W2151216119 @default.
• W2891246164 cites W2157415419 @default.
• W2891246164 cites W2157718207 @default.
• W2891246164 cites W2162205756 @default.
• W2891246164 cites W2275714991 @default.
• W2891246164 cites W2305295246 @default.
• W2891246164 cites W2336999859 @default.
• W2891246164 cites W2410939369 @default.
• W2891246164 cites W2499958015 @default.
• W2891246164 cites W2528947667 @default.
• W2891246164 cites W2556131455 @default.
• W2891246164 cites W2597545594 @default.
• W2891246164 cites W2606154008 @default.
• W2891246164 cites W2737082045 @default.
• W2891246164 cites W2767000979 @default.
• W2891246164 cites W2790987430 @default.
• W2891246164 cites W3037339115 @default.
• W2891246164 cites W4236874879 @default.
• W2891246164 cites W4237839265 @default.
• W2891246164 cites W4246630006 @default.
• W2891246164 doi "https://doi.org/10.5194/amt-12-2949-2019" @default.
• W2891246164 hasPublicationYear "2019" @default.
• W2891246164 type Work @default.
• W2891246164 sameAs 2891246164 @default.
• W2891246164 citedByCount "8" @default.
• W2891246164 countsByYear W28912461642019 @default.
• W2891246164 countsByYear W28912461642020 @default.
• W2891246164 countsByYear W28912461642021 @default.
• W2891246164 countsByYear W28912461642023 @default.
• W2891246164 crossrefType "journal-article" @default.
• W2891246164 hasAuthorship W2891246164A5002249004 @default.
• W2891246164 hasAuthorship W2891246164A5009144793 @default.
• W2891246164 hasAuthorship W2891246164A5011503010 @default.
• W2891246164 hasAuthorship W2891246164A5015985167 @default.
• W2891246164 hasAuthorship W2891246164A5033784639 @default.
• W2891246164 hasAuthorship W2891246164A5042147395 @default.
• W2891246164 hasAuthorship W2891246164A5052847005 @default.
• W2891246164 hasAuthorship W2891246164A5055128208 @default.
• W2891246164 hasAuthorship W2891246164A5069253813 @default.
• W2891246164 hasAuthorship W2891246164A5084772186 @default.
• W2891246164 hasAuthorship W2891246164A5086816554 @default.
• W2891246164 hasAuthorship W2891246164A5089679290 @default.
• W2891246164 hasBestOaLocation W28912461641 @default.
• W2891246164 hasConcept C107775477 @default.
• W2891246164 hasConcept C111368507 @default.
• W2891246164 hasConcept C121332964 @default.
• W2891246164 hasConcept C127313418 @default.
• W2891246164 hasConcept C153294291 @default.
• W2891246164 hasConcept C161067210 @default.
• W2891246164 hasConcept C178790620 @default.

• next