近年來空氣品質日益受到重視，不良的空氣品質不僅會對人體健康造成影響，對生態環境也會造成嚴重的破壞。台灣因地狹人稠加上工廠林立，工廠設置的位置往往就在人口密集的住家附近，而與生活息息相關的空氣污染也逐漸受到民眾關注。空氣污染物在空氣中的擴散具有時間與空間的動態變化，而污染源排放後的污染物走向，可以通過電腦的模擬來描述。本研究利用細胞自動機理論來建立空氣擴散模型，從微觀到整個系統，透過由下而上的方式了解空氣污染物在空間中移動的趨勢及變化，並結合機率的方式模擬風場變化，最後利用情境模擬，探討不同排放行為、污染源數量、位置對污染物的濃度變化及分布。模擬結果顯示，不同汙染源所排放的污染物可能會受到距離及風場的影響而重疊，使重疊部分濃度較周圍高，不同的排放行為影響的污染時間及範圍也會有所不同。 Recently, people have gradually focused on air quality, the bad air quality not only affect human health but also destroy the natural ecological environment. Taiwan is a small island, which is highly populated. The factories stand in great numbers, factory settings are often located around densely population. Air pollution, which is closely related to people's daily life, has also received increasing attention. The diffusion of air pollutants in the air has dynamic changes in time and space, and the trend of pollutants after the discharge of the pollution source can be described by computer simulation.This study uses cellular automata theory to establish an air diffusion model, simulate the entire system from micro to macro. Understand the trend and changes of air pollutants moving in space through a bottom-up approach, and simulate the wind field changes with probability. Finally, using situational simulation, exploring the variation and distribution of pollutants in different emission behaviors, quantity and location of pollutants. The simulation results show that the distance and the wind field may affect the pollutants emitted by different pollution sources, and the overlap concentration is higher than the surrounding area. The time and scope of pollution affected by different emission behaviors will vary.
