| 英文摘要 |
The Environmental Protection Administration (EPA) has been preventing water pollution, since 2016, the EPA has imposed cap-and-trade program on water pollutants. Additionally, in line with the National Water Environment Improvement Plan (2017 to 2021) of the Ministry of Economic Affairs (MOEA), the EPA has incorporated waterfront environments into its overall planning to improve the quality of water bodies. After few years, the average national river pollution index (RPI) dropped from 3.8 in 2002 to 2.5 in 2019, showing an improvement trend in the river water quality. For reservoir environmental management, the EPA has enhanced the application of Environmental Impact Assessment (EIA) by using water quality modeling since 2011 and adopt Forward-looking River Water Quality ＆ Environment Management Plan in 2020.
In response to fish die-offs caused by hypoxia in river water bodies, this project analyzes relevant information such as the occurrence of fish mortality events in the past 5 years, climate conditions, etc., evaluates water oxygenation techniques and application methods, selects the Sanxia River in New Taipei City and the Yucheng Pumping Station outside waterway of the Keelung River in Taipei City for field testing, and through continuous aeration on-site testing and analysis to improve dissolved oxygen effectiveness, formulate suggestions for the installation location of subsequent oxygenation machines.
Taiwan has responded to the global trend towards net-zero emissions by 2050 with the publication of "Taiwan's Pathway to Net-Zero Emissions in 2050," utilizing IoT-driven insights to implement a Water Pollution Prevention Plan. The plan is based on five strategies: Life and the Circular Economy, Smart Energy Saving, Smart Alarm and Block Technology, Energy Transition, and Green Transportation.
During the project, nine EIA cases were evaluated, as well as reviewing one scoping meeting and four following-up opinions. Besides, water quality model was applied to both SanYe creek and Agondan river to simulate several scenarios of pollutant reduction. And five EIA cases of their current monitoring data with predicted water quality values were also compared. Reservoirs act as multi-purpose water sources in supporting livelihoods. Representatives of related authorities are responsible for reservoirs and its upstream catchment. The Taiwan Water Corporation (TWC) is responsible for drinking water quality. Therefore, it is important to have Reservoir Safety Guidance for managing water quality and quantity. The project first discussed the Reservoir Safety Guidance which consists of water quality index and environmental index. The second part of the guidance aims to create an indicator by 5 reservoirs' monitoring data. In the results, adoption of TOC and COD is being suggested.
The project of "Application of Sentinel-2 Satellite Multispectral Imagery in Liyutan Reservoir Water Quality Analysis Based on Machine Learning Model". Reservoirs are an important source of water for people's livelihood. The image analysis process considers the features and selects the highly correlated features of CTSI and Chl-a as the input parameters of the model, which can reduce the influence of noise and facilitate the establishment of water quality inference models. However, eutrophication often occurs in reservoirs due to the increase of nutrient sources. Compared with the traditional single-point water quality sampling survey method, the water quality assessment established in this research proves that the current status of the reservoir water quality can be taken by means of model inference results, and the status of the reservoir water quality is visualized.
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