台南市為台灣南部的觀光重鎮，進出各地的車輛數相當高，而移動源排放是PM2.5的重要來源之一，因此想了解如何管制移動源的排放以達到降低空氣污染物排放的目的。
本研究將部分觀光區與工業區設定為空氣品質淨區，利用管制特定車輛進入該區域的方式，了解不同情境下的原生性PM2.5濃度增量變化。管制的方式有兩種，方式一：1、2期的柴油車及二行程機車禁止進入空氣品質淨區，1、2期的車種強制更換成5期車種；二行程機車強制更換成四行程機車，更換後車輛方得駛入空氣品質淨區並經過該區。方式二：若無法換車，則需要繞過空氣品質淨區以達到通過該區的目的。利用TEDS10所提供的各車種排放係數公式與參數計算各車種的排放係數，再搭配各車輛在空氣品質境區的行駛路線長度，計算出各車輛排放的排放量。並將之透過AERMOD模擬進行比較，以了解管制前後濃度增量變化。
透過模擬的結果，與當日的PM2.5測值比較減量比例皆未超過百分之一，主要是因為本研究僅討論原生性PM2.5濃度增量，主要是因為測站所量測到的PM2.5來源除了原生性PM2.5外還有衍生性的PM2.5，但本研究僅討論原生性的PM2.5，所以會造成減量的低估。但是超過半數的地區的濃度增量經管制後，與該區域的未管制的濃度增量比較，其減量比例都超過百分之四十，可了解到管制確實是有效用的。

The purpose of this research is to figure how to control mobile emission to reduce the air pollution. There are two control method. Method one is forbidding phase-1 and phase-2 diesel vehicles and two-stroke motorcycle into air quality clean-zone. After replacing phase-1 and phase-2 diesel vehicles to phase-5 diesel vehicles and replacing two-stroke motorcycle to four-stroke motorcycle, vehicles being replace can go inside the air quality clean-zone. Method two is the vehicle which can’t be replace detour through the air quality clean-zone..
Establish emission coefficient of different vehicles by the emission coefficient formula and parameter in TEDS10. Using the emission coefficient with vehicles driving distances in air quality clean-zone can calculate the amount of emission of every vehicle. And simulate seven different scenarios by AERMOD to find out the different concentration increment in different scenarios.
The results of simulate show that the reduction rate compared with the concentration form the EPA stations are underestimate, but the reduction rate of more than half zone compared with the uncontrolled situation are 40%. The control methods is effective.

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