بررسي توزيع غلظت آلاينده NOX خروجي از دودكش‌هاي نيروگاه منتظري اصفهان با استفاده از مدل تركيبي WRF-CALPUFF

The analysis on distribution of NOX pollutant concentration from exhaust flues in Shahid Montazeri Power Plant at Isfahan using combined WRF-CALPUFF model

by means of correlation of Weather Research and Forecasting (WRF) numerical model with air pollution dispersion model (CALPUFF) in this study, distribution of NOX air pollutant concentration from exhaust flues of Montazeri Power Plant at Isfahan was simulated in two intervals of 20 days during cold and warm seasons in 2014 and then the potential of the model was assessed in data simulation using statistical analysis. The results of statistical parameters used in this investigation, suggest good potential of California Meteorological (CALMET) model in simulation of 3-D meteorological field needed for CALPUFF model. Similarly, the results of statistical parameters indicate good agreement between simulated data by CALPUFF model and observed concentration data in pollution surveying stations so that the value of R-index for NO2 is placed within range (0.706-0.932) in cold year interval and in (0.567-0.804) during warm year interval. This shows high correlation between the observed data and simulated data. The value of FB index for NO2 is placed within ranges of (0.051-0.285) and (0.040-0.370) in cold and warm year intervals, respectively. The results of FB index indicate that the model given for the results of concentration of pollutants has generally forecast it below the actual level. Overall, the results of statistical assessments show good performance of CALPUFF model in forecasting of concentration for the given pollutants.

by means of correlation of Weather Research and Forecasting (WRF) numerical model with air pollution dispersion model (CALPUFF) in this study, distribution of NOX air pollutant concentration from exhaust flues of Montazeri Power Plant at Isfahan was simulated in two intervals of 20 days during cold and warm seasons in 2014 and then the potential of the model was assessed in data simulation using statistical analysis. The results of statistical parameters used in this investigation, suggest good potential of California Meteorological (CALMET) model in simulation of 3-D meteorological field needed for CALPUFF model. Similarly, the results of statistical parameters indicate good agreement between simulated data by CALPUFF model and observed concentration data in pollution surveying stations so that the value of R-index for NO2 is placed within range (0.706-0.932) in cold year interval and in (0.567-0.804) during warm year interval. This shows high correlation between the observed data and simulated data. The value of FB index for NO2 is placed within ranges of (0.051-0.285) and (0.040-0.370) in cold and warm year intervals, respectively. The results of FB index indicate that the model given for the results of concentration of pollutants has generally forecast it below the actual level. Overall, the results of statistical assessments show good performance of CALPUFF model in forecasting of concentration for the given pollutants.