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Extra info for A methodology of estimation on air pollution and its health effects in large Japanese cities

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In an air quality analysis the ventilation rate of the entire region must be taken into account, because the dispersion can be influenced by both atmospheric mesoscale and macroscale movements. The atmospheric conditions as the anticyclones or thermal inversions slow the dispersion, resulting in high concentrations of pollutants. On the other hand, high weather variability such as moving cyclones, associated with strong winds, will enhance the dispersion of pollutants in urban areas. The pollution can move on, over very large areas, affecting air quality within hundreds of kilometers distances (Briggs, 1969).

26. 20. 18. 5 Estimation of Ambient Air Quality in Delhi 43 contribution to PM10 is 47%, which increases to 59% at VV, further increases to 69% at IIT and achieves its maximum (77%) at SKP. 26) at the VV site, suggesting the heterogeneous contribution of secondary particle formation sources. 5 but not as much as in the case of IIT in South Delhi. 5 sources contributing to RSP remains the same. 5/PM10 are generally between 20 and 30%, with abnormal values from industrial particulate (both high-50% in Cynon- and low-17% in Port Talbot).

A weak correlation between simulated and measured data (R2< 0,5) 34 Air Quality – Monitoring and Modeling The values of the fractions of predicting (FA2) must be between 0,5 and 2. 8. The model’s parameterization The correlation between the simulated and measured data could be improved if the errors are corrected. The input data are very important for the quality of output data. In the input data there are a few parameterization mathematical relationships which could be improved. The model must be run with the new inputs.

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