| 英文摘要 |
The purpose of this project is to assist Taiwan Environmental Protection Administration (EPA) in reviewing the environmental impact assessment (EIA) reports regarding the water quality modeling. Four main tasks are conducted to provide technological support in examining the results of water quality modeling which was used in the assessment of surface water quality. The tasks include: (a) reviewing at least 20 EIA reports, (b)preparing user’s manual of the water quality model based on EIA cases and constructing a new query platform of model’s parameters, (c) applying water quality models to evaluate the effectiveness of pollutant reduction, and (d) hosting meetings to discuss the new query platform, control strategies for heavy metals and a workshop for training water quality models. In summary, twenty-four EIA cases were evaluated during this project. Four EIA cases were assessed by the QUAL2K model, two by WASP model, ten by the simple dilution model, but the other eight cases were not assessed by any models. Four previous EIA cases were followed up, and one case of simulating river improvement plan was completed. Moreover, one SWMM modeling case was selected as user’s manuals, and a new phase I query platform of model parameters was set up at NTUT-WERC’s website. With respect to the heavy metal water quality, ten cases were evaluated based on their water quality data, water quality achieving rates, and administrative efforts. Besides, key pollutants of six rivers of four counties were also evaluated, and the WASP model was applied to XinJie Creek to develop reduction scenarios based on the discharge data of the current industries. The above evaluations were made in expert’s meetings and one workshop on water quality modeling was also organized during this project. Finally, several suggestions for further investigation are provided. This project recommends that government agencies would work with institute to validate EIA cases with respect to water quality modeling. Moreover, the co-working institute can play a critical role in archiving models and data, maintaining and upgrading them for future applications. And the new query platform of model parameters still needs further implementation to includes more EIA cases and GIS functions.
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