Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/5518
標題: 擴散模式ISC與AERMOD之比較
Comparison of the Industrial Source Complex and AERMOD Dispersion Models
作者: 謝宏益
Hsieh, Hung-Yi
關鍵字: AERMOD
AERMOD
ISC
atmosphere stability
mixing layer height
effective stack height
ISC
大氣穩定度
混合層高度
有效煙囪高度
出版社: 環境工程學系所
引用: 行政院環境保護署,空氣品質模式支援中心,http://www.aqmc.org.tw/ 元曉琴,「穩定度判斷對空氣品質模擬之影響—台中火力發電廠個案研究」,碩士論文,國立中興大學(2000)。 曠永銓.許珮蒨, "AERMOD煙流模式在臺灣地區之應用研究". 中興工程, vol 88. 2005, pp. 55-62 李賢衛,「空物污染物排放與總量管制增量限值變異之研究−以園區硫氧化物排放為例」,碩士論文,高雄第一科大環境與衛生工程係(2002)。 廖崇圜,「應用ISCST3擴散模式和CMB受體模式評估實施PM10減量管制後對空氣品質之影響」,碩士論文,國立中興大學(2000)。 林春利,「台中火力發電廠硫氧化物排放減量對中部地區空品之探討」,碩士論文,私立東海大學(2000)。 莊秉潔、方富民、簡鳳儀、陳王琨及程萬里:台中火力發電廠空氣污染驗證考核計畫(三)-ISC本土化煙流擴散模式之發展,行政院環境保護署(1996)。 江旭程,「ISC空氣品質模式使用手冊」,私立淡江大學(1989)。 莊秉潔,「空氣品質模式」,國立中興大學(2006)。 Isakov V., Venkatram A., Touma J.S., Koracin D., "Evaluating the use of outputs from comprehensive meteorological models in air quality modeling applications," Atmospheric Environment, vol. 41, pp. 1689–1705 (2007). Kesarkar A.P. Dalvi M., Kaginalkar A., Ojha A., "Coupling of the Weather Research and Forecasting Model with AERMOD for pollutant dispersion modeling. A case study for PM10 dispersion over Pune, India" Atmospheric Environment, vol. 41, pp. 1976–1988 (2007) Orloff K.G.., Kaplan B., Kowalski P., "Hydrogen cyanide in ambient air near a gold heap leach field : Measured vs. modeled concentrations" Atmospheric Environment, vol. 40, pp. 3022–3029 (2006) Stein A.F., Isakov V., Godowitch J., Draxler R.R., "A hybrid modeling approach to resolve pollutant concentrations in an urban area, " Atmospheric Environment, vol. 41, pp. 9410–9426 (2007) Seinfeld J.H., Atmospheric Chemistry and Physics of Air Pollution, John Wiley & Sons, New York, pp. 872 (1986). U.S. E.P.A., http://www.epa.gov/scram001/ U.S. E.P.A., "User''s guide for the AMS/EPA regulatory model - AERMOD". vol., 2004, 216pp. U.S. E.P.A., "User''s guide for the AERMOD meteorological preprocessor (AERMET)". vol., 2004, 252pp. U.S. E.P.A., "User''s guide for the AERMOD terrain preprocessor (AERMAP)". vol., 2004, 106pp. U.S. E.P.A., " AERMOD: description of model formulation ". vol., 2004, 91pp. U.S. E.P.A., 1995: User’s guide for the industrial source complex (ISC3) disperson model, VolumeⅠ: User Instructions. U.S. E.P.A., 1995: User’s guide for the industrial source complex (ISC3) disperson model, VolumeⅡ: Despersion of Model Algorithms. Venkatram A., Isakov V., Yuan J., and Pankratz D., "Modeling dispersion at distances of meters from urban sources," Atmospheric Environment, vol. 38, pp. 4633–4641 (2004).
摘要: 多年以來,美國環保署(EPA)廣泛地使用ISC (Industrial Source Complex) 模式,應用在許多空氣品質影響評估。但近幾年來,美國環保署已經使用AERMOD (American Meteorological Society / Environmental Protection Agency Regulatory Dispersion Model) 模式,來替代舊有的ISC模式,因此本篇研究主要是比較這兩種模式的差異性。 首先,比較兩種空氣品質模式的一般原理。透過大氣穩定度和混合層高度的計算、地表特性敏感度分析和對流條件下污染物擴散等原理方面比較。接下來,則是以台中火力發電廠為例進行模擬。結果顯示:在模擬期間時ISC模擬值都比AERMOD模擬值低,其中有些天數ISC的模擬值為0ppb,其原因在於ISC模式當有效煙囪高度大於混合層高度時,則假設對受體點濃度為0ppb,而AERMOD模式則考慮三部份的煙流計算方法,其中有評估到當煙流穿過混合層時,到達穩定層時經過一段時間後,最後沉降到地面的濃度值。因此,AERMOD模式使用上比ISC模式準確許多。
For many years, the U.S. Environmental Protection Agency (EPA) widely used the Industrial Source Complex (ISC) model in many air quality impact assessments. Recently, EPA adopted a new rule that replaces ISC with AERMOD. This research is mainly to compare the difference between the two models. First of all, by comparing the theory of two air quality models. The comparisons of theory such as atmosphere stability and mixing layer height, sensitivity analysis of surface characteristics, pollution dispersion in convective limit etc. Second, neighborhood of Taichung power plant is used as a case study. The result: During simulation period, predicted value by ISC model is lower than predicted value by AERMOD model. On someday of simulation period predicted value by ISC model is 0 ppb. Because, if the effective stack height exceeds the mixing height, the plume is assumed to fully penetrate the elevated inversion and the groud-level concentration is set equal to zero. AERMOD model considers the computing three plume treatment of the convective boundary layer (CBL). AERMOD model assess a penetrated plume above the CBL top is included to account for material that initially penetrates the elevated inversion, but is subsequently reentrained by and disperses in the growing CBL. The result shows that AERMOD model is much more accurately than ISC model.
URI: http://hdl.handle.net/11455/5518
其他識別: U0005-2508200817302500
文章連結: http://www.airitilibrary.com/Publication/alDetailedMesh1?DocID=U0005-2508200817302500
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