| 英文摘要 |
In this study, the mobile GPS real-time monitoring module has been continued to develop since 2017, which combined with the actual Baoshan Reservoir water quality monitoring to investigate the source of pollution. At present, the module can be set to automatically drive on the lake surface of the reservoir according to the planned route for real-time water sample analysis. In addition, 10 surveys of Baoshan Reservoir, 128 water samples analysis of Yongheshan Reservoir and 12 water quality surveys by sampling vessel were completed. The SWMM model was used to define the potential high pollution area of Yongheshan Reservoir. According to the investigation of high potential area and considering the pollution rate, it is suggested that wastewater intercepting system and combined dephosphorization purification tank should be installed in the upstream catchment areas of Zhongnanzhuang and Tianmei area.
The research on combined purification tanks based on biological nitrogen removal and electrolysis units jointly has been developed and tested at the Neihu Wastewater Treatment Plant. According to the characteristics of the combined purification tank and the results of
計畫成果中英文摘要(簡要版)
relevant literature studies, it is proposed that the recommended initial discharge values of the technology were less than 10 mg/L of total nitrogen and less than 2 mg/L of total phosphorus.
STELLA software was used to construct the decision-making management model of key reservoirs in the central area. The results showed that the pollution behaviors of total phosphorus load of Yongheshan reservoir were mainly community point source pollution and agricultural non-point source pollution. In addition, with phosphorus pollution reduction as the object of discussion, the team carried out cost-benefit simulation of three different combinations of pollution reduction measures, and the reduction rate in the upstream catchment area could reduce total phosphorus pollution by 11.2-20.2%.
The water quality survey data of 20 livelihood reservoirs from the first quarter to the third quarter of 2018 were collected. 6 reservoirs with an average CTSI index of more than 50 were analyzed and suggestions for improvement measures were provided.
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