Identification of surface NOx emission sources on a regional scale using OMI NO2
|Van Roozendael, M.
|In this study, an inverse modeling technique is applied to obtain, at a regional scale, top-down emission estimates for nitrogen oxides utilizing tropospheric nitrogen dioxide (NO2) columns retrieved by the OMI/Aura instrument and estimated by the Comprehensive Air Quality Model with extensions (CAMx). The main idea, applied previously using models with coarse spatial resolution, is to combine the a priori information from the bottom up emission inventory used in an air quality simulation that covers the Balkan peninsula in a high resolution grid (0.1° × 0.1°) with the tropospheric NO2 quantities estimated for one complete year by CAMx and the tropospheric NO2 columns retrieved by satellite observations in order to identify missing emissions sources on a regional scale. The results have identified biases between the a priori and a posteriori emission inventories due to the missing emission sources or over-estimation of the spread and quantity of certain emission sources. In such a fine resolution grid we have also analyzed and considered the horizontal transport on the a posteriori NOx emissions. The deduced a posteriori NOx emissions, dominated by the fossil fuel emissions, were found to be1.11 ± 0.30 Tg N/y, compared to 0.87 ± 0.43 Tg N/y found in the a priori Balkan emission inventory. Soil emissions over the extended Greek domain, omitted in the a priori inventory, were estimated to account for almost 20% of the total emitted amount, while for the year 2009 the biomass burning NOx emission flux was also estimated and the average rate accounted for 0.5 × 10−6 Tg N/km2. 2014 Elsevier Ltd.
|Identification of surface NOx emission sources on a regional scale using OMI NO2
|Earth and related Environmental sciences
|Air quality, Computer simulation, Inverse problems, Nitrogen, Troposphere, Air quality simulation, Comprehensive air quality model with extensions, Emission inventories, High-resolution grids, Inverse modeling, OMI, Satellite observations, Tropospheric nitrogen dioxide, Nitrogen oxides, fossil fuel, nitrogen dioxide, nitrogen oxide, atmospheric modeling, biomass burning, emission inventory, estimation method, identification method, nitrogen oxides, pollutant source, satellite imagery, soil emission, spatial resolution, troposphere, air quality, Article, Balkan Peninsula, biomass, Greece, nitrous oxide emission, pollution transport, quantitative analysis, simulation, soil, troposphere