反應性軌跡模式於南高屏地區臭氧污染事件之應用與解析

• Main Author: 莊振義
• Other Authors: 張能復
• Format: Others
• Language: zh-TW
• Published: 1999
• Online Access: http://ndltd.ncl.edu.tw/handle/00790059780869516098

碩士 === 國立臺灣大學 === 環境工程學研究所 === 87 === Abstract In this research, we construct the trajectory photochemical model (TPM) base on the concept of the module structure, and proceed the sensitivity analysis of the input parameters. Afterward, we adopt the TPM to simulate the scenarios of the ozone pollution in Southern Taiwan in 1996. The simulations of this research include both the base case simulations and the precursor reduction simulations. The results of the back trajectory analysis and the precursor reduction simulations indicate that the air column back trajectories of the coastal area in Kaoshiung City in the ozone pollution scenarios are pass through the ocean, and the area that the air column pass through are NOx-limited regions. According to the result of the analysis, the precursors to cause the coastal area in Kaoshing in the condition of ozone pollution come from Tainan area. But the inland area in Pindong , Daliau and Chaucho, the back trajectories of the air column pass through the land , and the area that the air column pass through are NMHC-limited regions. The results of the back trajectory analysis reveal that the sources of the precursor are in Kaoshiung City and the neighbor industrial estate. In the precursor reduction simulations, it will cause the rise of the ozone concentration in the inland area but cause the reduction of the ozone concentration in the coastal area if we reduce the mobile sources and the point sources 25% in the whole Southern Taiwan area. But the reduction of ozone in the coastal area is not effective. If we reduce the precursor of the area source in the whole Southern Taiwan area 25%, the reduction of the ozone concentration in the inland area will be about 12% at most . But in the coastal area in Kaoshiung , the effect of the area sources reduction just cause the reduction of the ozone about 1%.