English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  NOx lifetimes and emissions of cities and power plants in polluted background estimated by satellite observations

Liu, F., Beirle, S., Zhang, Q., Doerner, S., He, K., & Wagner, T. (2016). NOx lifetimes and emissions of cities and power plants in polluted background estimated by satellite observations. Atmospheric Chemistry and Physics, 16(8), 5283-5298. doi:10.5194/acp-16-5283-2016.

Item is

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Liu, F.1, Author           
Beirle, S.1, Author           
Zhang, Qiang2, Author
Doerner, Steffen2, Author
He, Kebin2, Author
Wagner, T.1, Author           
Affiliations:
1Satellite Remote Sensing, Max Planck Institute for Chemistry, Max Planck Society, ou_1826293              
2external, ou_persistent22              

Content

show
hide
Free keywords: -
 Abstract: We present a new method to quantify NOx emissions and corresponding atmospheric lifetimes from OMI NO2 observations together with ECMWF wind fields without further model input for sources located in a polluted background. NO2 patterns under calm wind conditions are used as proxy for the spatial patterns of NOx emissions, and the effective atmospheric NOx lifetime is determined from the change of spatial patterns measured at larger wind speeds. Emissions are subsequently derived from the NO2 mass above the background, integrated around the source of interest. Lifetimes and emissions are estimated for 17 power plants and 53 cities located in non-mountainous regions across China and the USA. The derived lifetimes for the ozone season (May-September) are 3.8aEuro-+/- aEuro-1.0aEuro-h (meanaEuro-+/- aEuro-standard deviation) with a range of 1.8 to 7.5aEuro-h. The derived NOx emissions show generally good agreement with bottom-up inventories for power plants and cities. Regional inventory shows better agreement with top-down estimates for Chinese cities compared to global inventory, most likely due to different downscaling approaches adopted in the two inventories.

Details

show
hide
Language(s):
 Dates: 2016
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: ISI: 000376937000031
DOI: 10.5194/acp-16-5283-2016
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Atmospheric Chemistry and Physics
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Katlenburg-Lindau, Germany : European Geosciences Union
Pages: - Volume / Issue: 16 (8) Sequence Number: - Start / End Page: 5283 - 5298 Identifier: ISSN: 1680-7316
CoNE: https://pure.mpg.de/cone/journals/resource/111030403014016