Atmospheric Sciences and Air Quality Conferences

P1.2

The Forecasting of Atmospheric pollutant density in Xi'an City

Fanqiang Wang, AES, Xian, ShaanXi, China

THE FORECASTING OF ATMOSPHERIC POLLUTANT DENSITY IN XI'AN CITY

Wang Fanqiang

(Shaanxi Meteorological Office, Institute of Meteorological Science, Xi'an 710015, PR China)

Abstract

Based on the observed daily data of three main pollutants (PM10, SO2, NO2) and metrological data from January 2001 to December 2003 of Xian City, the spatial and temporal distributions and variations of the pollutant densities were analyzed. By using the radiosonde and surface observation data of Xian, 11 surface meteorological elements and 9 atmospheric stratification parameters which affect the density of atmospheric pollutant were calculated. A series of regression equations for every month were built with them and the density of PM10, SO2, and NOx between 2001 and 2003. The regression equations of July as follow (unit: ug/m3):

21.62-0.34X1-0.20X2+1.30X3-0.99°Á10-3X12+1.75°Á10-3X16

51.81-0.20X4-0.195X5-0.917X1+0.391X6 -1.375°Á10-3X12+1.22°Á10-3X13-

2.705X14+0.635°Á10-3X15+1.76°Á10-3X16

182.5-1.01X7-1.701X4-1.170X5-0.276X8+2.135X9-60.0X16-1.695°Á10-3X20

Where X1 is the daily minimum temperature(°æ), X2 is the pressure variation of 24h at surface(hpa), X3 is the atmospheric stability, X4 is the value of low cloud, X5 is the visibility(km), X6 and X7 are the daily mean temperature, the dew-point temperature(°æ), X8 is the daily rain( mm), X9 is the daily maximum temperature minus the daily minimum temperature, X12 and X13 are the maximum and minimum mixing condensation levels(m), X14 is the height of inversion base(m), X15 and X16 are the thick and the intensity of inversion layer(m, °æ/100m), X20 is the ventilation coefficient, (m2/s).

With the application of daily numerical prediction and local weather forecast, by using the program of VB6.0, an operation system is established for air pollutant density in Xian City, and then pollutant densities are used to predict from February 2004, the forecast show that the results as well.

Keywords: air pollutant, density, Forecasting.  

extended abstract  Extended Abstract (80K)

Supplementary URL: http://ASAAQ2005extened-WangFanqiang.pdf

Poster Session 1, General Poster Session with Welcome Reception
Wednesday, 27 April 2005, 6:00 PM-6:00 PM, Mezzanine Level Lobby

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