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Download PDF by D. Popovic : Air Quality - Models and Applications

By D. Popovic

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1999). To evaluate the results of the ANN models, three performance features were considered; the mean square error (MSE), mean squared error with regularization (MSEREG) and the error sum of squares (SSE). In the hidden layer, a log-sigmoidal function (LOGSIG) was used, and in the output layer, the transfer function was linear (PURELINE). , 2001). , (2007). The number of hidden neurons is based on the number of input variables (Ni) and output nodes (No) as shown in Table 3. 5 * (9 + 1) = 5 2 * Ni + 1 (2 * (9)) + 1= 19 2 * Ni 2 * (9) = 18 Table 3.

SJSU Final Report to Houston Advanced Research Center for Project No. R-04-0055, pp. 127. Briggs, G. A. (1975). Plume Rise Predictions. Lectures on Air Pollution and Environmental Impact Analysis. D. A. Haugen. 59111. , 1979, Numerical simulation of the regional transport of SO2 and sulfate in the eastern United States, Proc. 4 th Symp. on turbulence, diffusion and air pollution, AMS 337. , M. Tewari, H. Kusaka and T. L. Warner, 2006: Current status of urban modeling in the community Weather Research and Forecast (WRF) model.

3 Relative humidity Water vapor is one of the most basic components of the atmosphere. Its amount can be quite variable. It is important because it is one of the atmospheric elements which most absorbs solar radiation, preventing it from interacting with the primary pollutants and forming secondary pollutants such as ozone (Ayllón, 1996). , 2000). 64 ºC per 100 m of altitude. Thus, the earth’s surface warms the air parcel next to it, and this hot air expands, becoming less dense than the cooler air above it.

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