 |
| Titel |
NOx emissions from power plants in China: bottom-up estimates and satellite constraints |
| VerfasserIn |
Qiang Zhang, Siwen Wang, Kebin He, David Streets, Sicong Kang, Dan Chen, Randall Martin, Lok Lamsal |
| Konferenz |
EGU General Assembly 2011
|
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 13 (2011) |
| Datensatznummer |
250047870
|
|
|
|
|
|
| Zusammenfassung |
| The Ozone Monitoring Instrument was recently suggested to be of great help to quantify
emissions from individual large point sources. In this work we developed a unit-based power
plant emission inventory for China and evaluated the tropospheric NO2 columns in China
measured by OMI for time periods of 2005-2007 with GEOS-Chem model. OMI NO2
observations were used to identify emission hotspot regions dominated by large
power plants over China. The good correlation between modeled and OMI-retrieved
tropospheric NO2 columns were found in those hotspot regions in summertime,
indicating that the satellite retrievals can be used to constrain NOx emissions from large
point sources in China. We then compared the relationships between modeled and
OMI-retrieved tropospheric NO2 columns for newly added power plants between 2005
and 2007 and found that NOx emissions from certain large power plants can be
quantified using OMI retrievals. Emission increase rates between 2005 and 2007 derived
from OMI observations and the GEOS-Chem model are used to evaluated the a
priori emission estimations of new power plants. Comparison of OMI and modeled
NO2 columns over all grids suggests that the current emission spatial allocation
methodology tends to distribute fewer emissions to urban areas, which is mainly
accounted for the large uncertainties from industrial and transportation sources. |
|
|
|
|
|
|