Contribution of biogenic emissions to the atmospheric composition of the Balkan Region and Bulgaria

Gadzhev, Georgi; Ganev, Kostadin; Syrakov, Dimiter; Miloshev, Nikolay; Prodanova, Maria

doi:10.1504/ijep.2012.051187

Cited by 9 publications

(3 citation statements)

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Section: The Bulgarian Chemical Weather Forecast System (Bgcwfs)mentioning

confidence: 99%

“…For this study, we used the offline version of the Bulgarian Chemical Weather Forecast System (BgCWFS) [33][34][35][36][37] running operationally at NIMH since 2012. BgCWFS was designed based on the widely used US Environmental Protection Agency (EPA) Models-3 air quality modeling system, including WRF v3.6.1 (Weather Research Forecast model [44], CMAQ v4.6 (Community Multi-scale Air Quality model), an Eulerian chemical transport model [45], MCIP v3.6 (Meteorology-Chemistry Interface Processor), and SMOKE v2.4 (Sparse Matrix Operator Kernel Emissions Modeling System-the emission pre-processor to CMAQ) [46].…”

Section: The Bulgarian Chemical Weather Forecast System (Bgcwfs)mentioning

confidence: 99%

“…The Bulgarian Chemical Weather Forecast System, running operationally in Bulgaria since 2012 [33][34][35][36][37], was built upon the WRF-CMAQ model chain (see details in Section 2.2). Evaluation of results upon surface observations indicated underestimations of particulate matter [38].…”

Section: Introductionmentioning

confidence: 99%

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Use of Satellite Data for Air Pollution Modeling in Bulgaria

Georgieva

Syrakov

Atanassov

et al. 2021

Earth

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Air pollution continues to be of concern for Bulgarian cities, mainly due to particulate matter of aerodynamic diameter smaller than 10 μm (PM10). There is public and expert interest in the improvement of two operational air quality modeling systems: the Bulgarian Chemical Weather Forecast System (BgCWFS) and the Local Air Quality Management System (LAQMS) for the city of Plovdiv. The aim of the study is to investigate the effects of satellite data assimilation in BgCWFS on surface concentrations over Bulgaria (resolution 9 km), to downscale BgCWFS output to LAQMS (resolution 250 m), and to examine effects on PM10 in Plovdiv. Data from the Global Ozone Monitoring Experiment-2 (GOME-2) (MetOP satellites) for aerosols, nitrogen dioxide (NO2), and sulfur dioxide (SO2) were assimilated in BgCWFS using objective analysis. Simulation experiments with and without satellite data were conducted for a summer and a winter month. The comparison to surface observations in the country showed improvement of results when using satellite data, especially in the summer due to mineral dust events captured by satellites. The decrease in the normalized mean bias (NMB) over the two months was 43% (PM10) and 73% (SO2). The LAQMS estimated background contributions to PM10 in the city as 32%. The absolute NMB by LAQMS decreased by 38%.

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