| Summary: | 碩士 === 朝陽科技大學 === 環境工程與管理系碩士班 === 96 === Numerous industry or science parks are built for seeking the economical growth in most of developing countries. These industry or science parks provide a convenient cannel for properties integrations, together with the gather of pollutants. Avoiding the damage to the inhabitants and sensitive environment neighbor with the industry parks has become a critical issue in environmental risk management. This paper proposed a new approach based on expected values theory cooperated with linear programming to identify the concentration contribution of pollution sources to a given monitoring station. For this purpose Taichung Science and Industry Park in Taiwan was selected to testify its applicability in practice. After one-year monitoring program and credible data analysis, the results found out that about 50.54% pollutants come from Taichung Science and Industry Park, other are contributed by fragmentary factories in neighborhood.
In order to enhance the accuracy which this research, this article compares each factory to identify the result. The factory A is the biggest error by toluene, differs 20%. The factory B is the biggest error by MEK, differs 19%. The actory C is the biggest error of differs 26% by propane and 24% by MEK. The actory E is the biggest error by MEK of differs 24%. The total sum is 54% of error. The demonstration findings and the actual condition have the high accuracy.
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