Development of a new gas-flaring emission dataset for southern West Africa
A new gas-flaring emission parameterization has been developed, which combines remote sensing observations using Visible Infrared Imaging Radiometer Suite (VIIRS) nighttime data with combustion equations. The parameterization has been applied to southern West Africa, including the Niger Delta as a r...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2017-04-01
|
| Series: | Geoscientific Model Development |
| Online Access: | http://www.geosci-model-dev.net/10/1607/2017/gmd-10-1607-2017.pdf |
| _version_ | 1811209433779273728 |
|---|---|
| author | K. Deetz B. Vogel |
| author_facet | K. Deetz B. Vogel |
| author_sort | K. Deetz |
| collection | DOAJ |
| description | A new gas-flaring emission parameterization has been developed, which
combines remote sensing observations using Visible Infrared Imaging Radiometer Suite (VIIRS) nighttime data with
combustion equations. The parameterization has been applied to southern West
Africa, including the Niger Delta as a region that is highly exposed to gas
flaring. Two 2-month datasets for June–July 2014 and 2015 were created.
The parameterization delivers emissions of CO, CO<sub>2</sub>, NO, NO<sub>2</sub> and
SO<sub>2</sub>. A flaring climatology for both time periods has been derived. The
uncertainties owing to cloud cover, parameter selection, natural gas
composition and the interannual differences are assessed. The largest
uncertainties in the emission estimation are linked to the parameter
selection. It can be shown that the flaring emissions in Nigeria have
significantly decreased by 25 % from 2014 to 2015. Existing emission
inventories were used for validation. CO<sub>2</sub> emissions with the estimated
uncertainty in parentheses of 2.7 (3. 6∕0. 5) Tg yr<sup>−1</sup> for 2014 and 2.0 (2. 7∕0. 4) Tg yr<sup>−1</sup>
for 2015 were derived. Regarding the uncertainty range, the
emission estimate is in the same order of magnitude compared to existing
emission inventories with a tendency for underestimation. The deviations
might be attributed to a shortage in information about the combustion
efficiency within southern West Africa, the decreasing trend in gas flaring
or inconsistent emission sector definitions. The parameterization source
code is available as a package of R scripts. |
| first_indexed | 2024-04-12T04:39:19Z |
| format | Article |
| id | doaj.art-aea755e4d8d54a5683de99b772ea86f1 |
| institution | Directory Open Access Journal |
| issn | 1991-959X 1991-9603 |
| language | English |
| last_indexed | 2024-04-12T04:39:19Z |
| publishDate | 2017-04-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Geoscientific Model Development |
| spelling | doaj.art-aea755e4d8d54a5683de99b772ea86f12022-12-22T03:47:42ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032017-04-011041607162010.5194/gmd-10-1607-2017Development of a new gas-flaring emission dataset for southern West AfricaK. Deetz0B. Vogel1Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology (KIT), Karlsruhe, GermanyInstitute of Meteorology and Climate Research, Karlsruhe Institute of Technology (KIT), Karlsruhe, GermanyA new gas-flaring emission parameterization has been developed, which combines remote sensing observations using Visible Infrared Imaging Radiometer Suite (VIIRS) nighttime data with combustion equations. The parameterization has been applied to southern West Africa, including the Niger Delta as a region that is highly exposed to gas flaring. Two 2-month datasets for June–July 2014 and 2015 were created. The parameterization delivers emissions of CO, CO<sub>2</sub>, NO, NO<sub>2</sub> and SO<sub>2</sub>. A flaring climatology for both time periods has been derived. The uncertainties owing to cloud cover, parameter selection, natural gas composition and the interannual differences are assessed. The largest uncertainties in the emission estimation are linked to the parameter selection. It can be shown that the flaring emissions in Nigeria have significantly decreased by 25 % from 2014 to 2015. Existing emission inventories were used for validation. CO<sub>2</sub> emissions with the estimated uncertainty in parentheses of 2.7 (3. 6∕0. 5) Tg yr<sup>−1</sup> for 2014 and 2.0 (2. 7∕0. 4) Tg yr<sup>−1</sup> for 2015 were derived. Regarding the uncertainty range, the emission estimate is in the same order of magnitude compared to existing emission inventories with a tendency for underestimation. The deviations might be attributed to a shortage in information about the combustion efficiency within southern West Africa, the decreasing trend in gas flaring or inconsistent emission sector definitions. The parameterization source code is available as a package of R scripts.http://www.geosci-model-dev.net/10/1607/2017/gmd-10-1607-2017.pdf |
| spellingShingle | K. Deetz B. Vogel Development of a new gas-flaring emission dataset for southern West Africa Geoscientific Model Development |
| title | Development of a new gas-flaring emission dataset for southern West Africa |
| title_full | Development of a new gas-flaring emission dataset for southern West Africa |
| title_fullStr | Development of a new gas-flaring emission dataset for southern West Africa |
| title_full_unstemmed | Development of a new gas-flaring emission dataset for southern West Africa |
| title_short | Development of a new gas-flaring emission dataset for southern West Africa |
| title_sort | development of a new gas flaring emission dataset for southern west africa |
| url | http://www.geosci-model-dev.net/10/1607/2017/gmd-10-1607-2017.pdf |
| work_keys_str_mv | AT kdeetz developmentofanewgasflaringemissiondatasetforsouthernwestafrica AT bvogel developmentofanewgasflaringemissiondatasetforsouthernwestafrica |