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| Titel |
Analysis and numerical simulation on a server air pollution episode in Pearl River Delta Region, China |
| VerfasserIn |
Qi Fan, Wei Yu, Xuyu Luo, Shaojia Fan, Yerong Feng, Ruiquan Feng |
| Konferenz |
EGU General Assembly 2011
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 13 (2011) |
| Datensatznummer |
250046681
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| Zusammenfassung |
| In recent years, China’s environmental pollution is more and more serious, as PM10 is the main factor of air pollution in China’s fast-developing cities, and the regional pollution situation in Pearl River Delta (PRD) region is getting more obvious. In this study, the meteorological and chemical fields of a server air pollution episode occurred in PRD in November 2009 were analyzed by MM5/SMOKE/CMAQ models. The analysis showed that there were two peaks of air pollution index (API) and PM10 concentrations from November 22 to November 30, one was occurred on 25 Nov and the other was on 28 Nov. The model prediction was validated with measurements in PRD during the high PM10 episode days. The maxima of SO2, NOx and PM10 were mainly located in the south and west of PRD. The comparison between the calculated visibilities in several weather stations with the observations also showed that the low visibility regions were almost corresponding to the high air pollutant concentrations. But the model underestimated the various air pollutant concentrations, such as the simulated SO2 concentrations were 18% lower than the measurements, and 40% for PM10. Besides, the mechanisms for these two maxima aerosol pollutions were analyzed. One process was caused by the stable stratification and calm wind controlled by cold anticyclone from November 22 to November 25, another was influenced by the peripheral sinking airflow brought by the strong tropical storm in the east sea of PRD from November 26 to November 30. It can be concluded that the local and non-local emissions played different role in these two air pollution processes. The maximum of PM on 25 Nov was more affected by the local emissions and the transportation process can almost be ignored. But the maximum of PM in on 28 Nov, it was most influenced by the transportation process. |
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