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A new method for deriving trace gas emission inventories from satellite observations: The case of SO2 over China.
Kourtidis, Konstantinos; Georgoulias, Aristeidis K; Mijling, Bas; van der A, Ronald; Zhang, Qiang; Ding, Jieying.
Afiliação
  • Kourtidis K; Department of Environmental Engineering, School of Engineering, Democritus University of Thrace, 67100 Xanthi, Greece. Electronic address: kourtidi@env.duth.gr.
  • Georgoulias AK; Department of Environmental Engineering, School of Engineering, Democritus University of Thrace, 67100 Xanthi, Greece.
  • Mijling B; Royal Netherlands Meteorological Institute (KNMI), P.O. Box 201, 3730 AE De Bilt, The Netherlands.
  • van der A R; Royal Netherlands Meteorological Institute (KNMI), P.O. Box 201, 3730 AE De Bilt, The Netherlands.
  • Zhang Q; Center for Earth System Science, Tsinghua University, Beijing 100084, China.
  • Ding J; Royal Netherlands Meteorological Institute (KNMI), P.O. Box 201, 3730 AE De Bilt, The Netherlands.
Sci Total Environ ; 612: 923-930, 2018 Jan 15.
Article em En | MEDLINE | ID: mdl-28886544
ABSTRACT
A method is developed that allows the construction of spatial emission inventories. The method is applied for anthropogenic SO2 over China (0.25°×0.25°). The Enhancement Ratio Method (ERM) allows for the calculation of SO2 emissions using relationships between gridded satellite measurements of SO2 and NO2 at low wind speeds, and satellite-based NOx emission estimates. Here, we derive SO2 emissions for five years (2007-2011). A large decrease of emissions during 2007-2009 and a modest increase between 2010 and 2011 is observed. The evolution of emissions over time calculated here is in general agreement with bottom-up inventories, although differences exist, not only between the current inventory and other inventories but also among the bottom up inventories themselves. The ERM-derived emissions are consistent, spatially and temporally, with existing inventories.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sci Total Environ Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sci Total Environ Ano de publicação: 2018 Tipo de documento: Article