Kevin Gurney
Biographic Data
| ID | 9034762 |
|---|---|
| NAME | Kevin Gurney |
| GIVEN NAMES | Kevin |
| FAMILY NAME | Gurney |
| SIGNATURE | GURNEY K |
| AFFILIATIONS | University of Sheffield |
| ORCID | 0000-0003-4771-728X |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2008 |
| LATEST PUBLICATION YEAR | 2018 |
| H-INDEX | 0 |
Investigations into the use of multi-species measurements for source apportionment of the Indianapolis fossil fuel CO 2 signal
Current bottom up estimates of CO2 emission fluxes are based on a mixture of direct and indirect flux estimates relying to varying degrees on regulatory or self-reported data. Hence, it is important to use additional, independent information to assess biases and lower the flux uncertainty. We explore the use of a self-organizing map (SOM) as a tool to use multi-species observations to partition fossil fuel CO2 (CO2ff) emissions by economic source…
Carbon monoxide isotopic measurements in Indianapolis constrain urban source isotopic signatures and support mobile fossil fuel emissions as the dominant wintertime CO source
We present measurements of CO mole fraction and CO stable isotopes (δ13CO and δC18O) in air during the winters of 2013–14 and 2014–15 at tall tower sampling sites in and around Indianapolis, USA. A tower located upwind of the city was used to quantitatively remove the background CO signal, allowing for the first unambiguous isotopic characterization of the urban CO source and yielding 13CO of –27.7 ± 0.5‰ VPDB and C18O of 17.7 ± 1.1‰ VSMOW for th…
Trends in the sources and sinks of carbon dioxide
Network ‘Small-World-Ness’
BACKGROUND: Many technological, biological, social, and information networks fall into the broad class of 'small-world' networks: they have tightly interconnected clusters of nodes, and a shortest mean path length that is similar to a matched random graph (same number of nodes and edges). This semi-quantitative definition leads to a categorical distinction ('small/not-small') rather than a quantitative, continuous grading of networks, and can lea…
No prominent works on this page.
Network ‘Small-World-Ness’
BACKGROUND: Many technological, biological, social, and information networks fall into the broad class of 'small-world' networks: they have tightly interconnected clusters of nodes, and a shortest mean path length that is similar to a matched random graph (same number of nodes and edges). This semi-quantitative definition leads to a categorical distinction ('small/not-small') rather than a quantitative, continuous grading of networks, and can lea…
Trends in the sources and sinks of carbon dioxide
Carbon monoxide isotopic measurements in Indianapolis constrain urban source isotopic signatures and support mobile fossil fuel emissions as the dominant wintertime CO source
We present measurements of CO mole fraction and CO stable isotopes (δ13CO and δC18O) in air during the winters of 2013–14 and 2014–15 at tall tower sampling sites in and around Indianapolis, USA. A tower located upwind of the city was used to quantitatively remove the background CO signal, allowing for the first unambiguous isotopic characterization of the urban CO source and yielding 13CO of –27.7 ± 0.5‰ VPDB and C18O of 17.7 ± 1.1‰ VSMOW for th…
Investigations into the use of multi-species measurements for source apportionment of the Indianapolis fossil fuel CO 2 signal
Current bottom up estimates of CO2 emission fluxes are based on a mixture of direct and indirect flux estimates relying to varying degrees on regulatory or self-reported data. Hence, it is important to use additional, independent information to assess biases and lower the flux uncertainty. We explore the use of a self-organizing map (SOM) as a tool to use multi-species observations to partition fossil fuel CO2 (CO2ff) emissions by economic source…
Atmospheric and Environmental Gas Dynamics (3 works) · Atmospheric sciences (3 works) · Chemistry (3 works) · Environmental Science (3 works) · Fossil fuel (3 works) · Atmospheric chemistry and aerosols (2 works) · Computer Science (2 works) · Geography (2 works) · Geology (2 works) · Mathematics (2 works)