อาภาพรรณ ศิลประเสริฐ. An Evaluation of UK-ADMS Model for a Prediction of NO2 Concentration over Map Ta Phut Area Concentration over Map Ta Phut Area. Master's Degree(Chemical Engineering). มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าธนบุรี. : King Mongkut's University of Technology Thonburi, 1998.
An Evaluation of UK-ADMS Model for a Prediction of NO2 Concentration over Map Ta Phut Area Concentration over Map Ta Phut Area
Abstract:
All air pollutants emitted by point and distributed sources are transported, dispersed, or concentrated by meteorological and topographical conditions. Map Ta Phut is the one area located important industrial complex in Rayong province. This study was focused on the emission of nitrogen dioxide. The Thai standard of acceptable nitrogen dioxide is 170 ppb (320 pg/m3). The ability to predict concentration of NOz on the basis of dispersion from sources is essential if federal ambient air quality standards are to be attained and maintained. Thus an air dispersion model is need to predict pollutant concentration. An UK atmospheric dispersion modeling system, entitled UK-ADMS model is used as a tool for assessing the emission sources in Map Ta Phut industrial estate in order to predict the concentration of NOzAfter UK-ADMS model was studied, all the necessary information that is source data, meteorological data and data from receptor sites was collected. These data were required as input data in the model. The model predicts the nitrogen oxides (NO,) concentration, using the assumption of all NO, converted to NO2. This causes an unreliable prediction. So several methods for NOx to NO2 conversion were used in the model predictions including total conversion, conversion factors of 70 percent and 52.7 percent, total conversion with background added, conversion factors of 70 percent and 52.7 percent with background added, Ozone Limiting Method The prediction of NO, concentration bases on the meteorological data in the year 1996 with 202 existing sources in the year 1996 and 8 estimated sources for the year 1997. At last, the model prediction was calculated and then compared with the measurements at station 29, 30, and 31 for all cases. The results obtained were also compared with that from another research, which used the Industrial ,SourceComplex - Short Term Model (ISCST3). The prediction implied that all models predict the NO2 concentration with the overestimation. The ozone limiting method gave the performance of overestimation as good as the total conversion with background added. At 52.7 percent conversion factor, the prediction presented the most underprediction. Consequently, this case is not appropriate for the regulatory and assessment purposes. A model evaluation was executed to assess the model prediction of UK-ADMS model and ISCST3 model. This was done by using two performance statistic tests. The frequency of hours that the prediction was underestimated was observed in first performance statistic test. While the Average Fractional Bias (AFB) was used as an indicator in second performance statistic test. From these two performance statistic tests, the results showed that UK-ADMS model predicted more fit than by ISCST3 model