Evaluation of the ADMS and CALPUFF Model Predictions by Comparison with Monitoring Data Around Mae Moh Power Plant

การประเมินสมรรถนะการทำนายของแบบจำลอง ADMS และ CALPUFF โดยเปรียบเทียบกับค่าการตรวจวัด ณ บริเวณรอบโรงไฟฟ้าแม่เมาะ

Name: Mr.Apipong Putkham

Organization : มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าธนบุรี

Name: อภิพงษ์ พุฒคำ

keyword: ADMS

; CALPUFF

; Mae Moh

; Model

; Dispersion Model

Abstract: This study evaluated the performance of the Atmospheric Modeling System (ADMS)and CALPUFF models to predict nitrogen oxide (NOx) and sulphur dioxide (SO2)average concentrations in complex terrain conditions. The study area focused on theMae Moh coal-fired power plant, which is surrounded by the mountains. Evaluationwas conducted on 1- and 24 hour averaging periods, on different stability categoring, onwind data at different heights, and sensitivity to complex terrain treatment. Thepredicted concentrations of both models were statistical compared against observationstations around the power plant. Three statistical parameters, bias, fractional bias (FB),and composite performance measurements (CPM), were used to evaluation theperformance of the models. The results, from both models tended to over predict bothSO2 and NOx concentrations in 1and 24-h averaging periods for all scenarios. Ingeneral, the FB values for 24-h averaging periods were better than 1-h averagingperiods. When running the ADMS model using wind speed/direction at 10-metresheight, the performance of the models from all stations were better than using windspeed/direction at 100-metres height. For comparison of terrain treatment sensitivityanalysis, the ADMS model was run by using terrain and non-terrain treatment. Theresults showed that using terrain treatment was better than with no terrain treatmentincluded. Additionally, during July and August, results showed that running terraintreatment was significantly better than with no terrain treatment. This may be becauseduring, July and August, both of 10 and 100 metre heights were flow generally thesame, implying that local wind effects are low. ADMS and CALPUFF models slightlyover predicted the SO2 concentrations but greatly under predict NOx concentrations.Since, both models had the good CPM values, which lower than 0.5 for predicting SO2.While, both models gave the CPM value close to 1.0 for predicting NOx and NO2.Revealed that both ADMS and CALPUFF models indicate a good performance forpredicting SO2.While, do not gave a good performance for predicting NOx.Additionally, most of the CPM values indicate that the ADMS perform better theCALPUFF model.

มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าธนบุรี

Address: กรุงเทพมหานคร (Bangkok)

Email: info.lib@mail.kmutt.ac.th

Name: Lect.E.J. Withers Harvey

Role: Supervisor

Created: 2002

Issued: 2005-10-03

Modified: 2006-05-24

วิทยานิพนธ์/Thesis

ISBN: 9744560584

EV360

tha

DegreeName: Master of Science

Level: Master's Degree

Descipline: Environmental Technology

Grantor: King Mongkut's University of Technology Thonburi

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