|dc.description.abstract||Taiwan’s science park policy is to create an environmental, economic and e-park of manufacturing, living and ecology life. Coring with high-tech industries to actively proliferate by cluster effect, the science park become a sustainable developing and local demanding high-tech innovation critical mass. However, the concept of science park aggregates high density of high-tech industry facilities. The concern of the environmental impact is therefore arisen.
By controlling how the actual pollution emissions of Hsinchu Science Park affects air quality and researching an optimized methodology to estimate the Total Maximum Daily Load, this study is to amend the policy of Cap-and-Trade System to reach the win-win situation in both environment and econemy.
This study is mainly focussed to the Hsinchu Science-Based Industrial Park, located within the premises for the public and private sources. According to the air pollution control regulation, the pollution emission source is divided into point sources and fugitive sources. Based on the regulated sampling measurement data, the maximum permitted emissions and allocation permitted emissions of each point and area source, simulated ground concentration is predicted. The simulation results are compared with the value of environmental monitoring in which the location of measuring point is assigned as the receptor point. From the comparison, the public and private premises stationary sources of air pollution environmental impact is then to be inferred further to make recommendations on the Cap-and-Trade System.
From the results of this study, the simulation methodology in the Science-based Industrial Park Administration, ＂the Hsinchu Science-based Industrial Park, Environmental Impact Analysis Report, and strategies＂ is not adequate. The simulated data of inorganic acid except nitrate showed higher allowable emission from 96 and 97 annual emissions and meteorological conditions by applying area source and a simple flat terrain. Furthermore, the incremental results of the simulation of the pollutants are affected by their own physical and chemical properties as well as the meteorological conditions. The simulation results could not be applied to each other. Therefore, the carrying capacity of the total pollution control should be estimated by each pollutant’s diffusion property in the correpondant simulation model and also considering the extended years of simulated meteorological conditions.