.png){kind=logo}
Research Focus
Research Areas and Contributions
He independently engages in academic research and has published a total of 31 papers in international academic journals with censorship systems, most of which are first authors. The total number of SCI journal papers has been cited approximately 1218 times, H-Index 17 (Google Scholar). My personal academic research career mainly focuses on knowledge exploration and technology research and development work on tap water supply and drinking water quality treatment issues. The main focus of academic research in the past five years has been on the development and application of drinking water treatment and management technologies, including the development and application of high-efficiency coagulants for water treatment, optimization of tap water algae solid-liquid separation technology, establishment of algae-derived disinfection by-product precursor prediction technology, and reservoir Research work in five major areas including research and analysis of water quality optimization indicators and development of urban smart water management technology
(1) R&D and application of high-efficiency coagulants for water treatment
To prepare a high purity polyaluminum chloride (PACl) coagulant by chemical method and to investigate the coagulation mechanism of Al13 and its aggregation dynamics, the traditional PACl was purified by sodium sulfate and barium nitrate, and a high purity PACl coagulant with more than 95% of Al13 was prepared, which was then applied to low turbidity and high turbidity water treatment, and the amount of coagulant used and the dewaterability of sludge could be reduced. It can reduce the amount of coagulant used and increase the dewaterability of sludge. The manufacturing process is the same as the current situation and can be obtained by adjusting the operating parameters without increasing the cost. In recent years, in order to meet the commercial demand, we have further successfully developed a new type of high-efficiency PACl coagulant, whose main ingredient is colloidal aluminum (>50%), which can accelerate the formation of coagulation plume, enhance the efficiency of natural turbid water mixing and removing turbidity, and reduce the amount of residual aluminum in clear water. This is a precedent for the industrialization and mass production of high-efficiency PACl coagulant for drinking water in Taiwan and abroad. The results of this work have been published in Journal of Water Supply : Research and Technology-AQUA (2018), Environmental Engineering Science (2019), Journal of Environmental Sciences (2020), and Journal of the World Health Organization (2010). Sciences (2020), Journal of Water Process Engineering (2021) and Science of the Total Environment (2022).
The double dosing (ClO2 and NaOCl) pre-oxidation method significantly reduces the activity of algae, and reduces the chance of the reaction between algae organic matter and chlorine, effectively controlling the generation of disinfection by-products (such as trihalomethanes (THMs) and haloacetic acids (HAAs)) in the water purification process. The double dosing technology of the pre-oxidation process has been applied to improve the quality of water supplied by the water purification farms in Kinmen and Matsu areas of the outer islands, and has significantly increased the THM compliance rate of clean water. In addition, we studied the rate and extent of algal cell destruction in response to the reaction between advantageous algae (blue-green algae, green algae, and diatoms) in reservoirs and oxidizing agents commonly used in water treatment (NaOCl, ClO2, and KMnO4), and established the enhanced oxidation and coagulation dosing technology (including high-efficiency electrocoagulation technology) to reduce the activity of raw water algae in water treatment plants and to enhance the coagulation and stabilization of algae, which is the main difference between the results of the research and the previous studies conducted by the relevant researchers both at home and abroad. The main difference between the results of this study and those of previous studies is that the key factor (the reaction rate between chlorine and intracellular and extracellular organisms of algae) that affects the potential of reducing the generation of algal-derived disinfection by-products by intensified chlorination is more clearly understood. The results of this work have been published in Environmental Science and Pollution Research (2017), Journal of Environmental Sciences (2018), Science of the Total Environment ( 2020, 2022) and AQUA (2022).
%E4%B9%8B%E6%B7%B7%E5%87%9D%E6%A9%9F%E5%88%B6%E7%A4%BA%E6%84%8F.png)
(3) Establishment of Algae-Derived Disinfection By-Products Precursor Prediction Technology
Fluorescence emission-excitation matrix (FEEM) with size-exclusion chromatography (SEC) was used to analyze the main components of the disinfection by-product precursors derived from the growth stage of green algae in optimized reservoirs and to accurately predict the potential of disinfection by-products. To establish a rapid analytical method to analyze the main components of the disinfection by-product precursors derived from the growth stage of green algae in eutrophic reservoirs, and to accurately predict the potential of disinfection by-products generation. The results of this research have been published in Chemical Engineering Journal (2017) and Science of the Total Environment (2018). The most important research result is the first analysis of the chemical structure of algal intracellular material (IOM) and extracellular material (EOM) in relation to the potential of disinfection by-products generation, and a clearer understanding of the relationship between algal growth-derived disinfection by-products and their potential. The most important results of these studies were the first analysis of the chemical structure of IOM and EOM and the potential of disinfection by-products in algae, and a clearer understanding of the C-C/C-H/C-O organic matter as precursors of carbonaceous disinfection by-products (THMs and HAAs), as well as the use of statistical analysis (Principal Component Analysis) to analyze the correlation between fluorescent substance components and organic substances with different molecular weights, and the relationship between these two substances and the groups of THMs and HAAs generated by the two substances.
(4) Analysis and Refinement of Reservoir Water Quality Optimization Indicators
Pearson regression statistics and principal component analysis (PCA) were used to analyze the water quality of domestic reservoirs over the years, and it was found that the applicability of the optimization index (i.e., Carlson's Trophic State Index (CTSI)) was low, which was mainly due to the high proportion of non-algal turbidity in most of the reservoirs (Zone III). The main influence factor of CTSI value is suspended solids, and the main influence factor of reservoir transparency is suspended solids rather than algae (chlorophyll a). At the same time, we analyzed the suitable water quality conditions and the influence factors (environmental factors such as water temperature, nutrient sources, and seasons) for assessing the optimization level of the CTSI in the reservoirs in China. On the other hand, the results of the analysis of the CTSI for assessing the eutrophication level in domestic reservoirs provide a basis for the EPA to review the limitations of the existing Carlson Indicators and to promote the use of the new CTSI as a tool for assessing the eutrophication level in domestic reservoirs, so as to accurately assess the level of eutrophication and its occurrence potentials. The results were published in Sustainable Environment Research (2022).
%E6%87%89%E7%94%A8%E8%88%87%E6%B0%B4%E8%B3%AA%E5%9B%A0%E5%AD%90%E9%97%9C%E8%81%AF%E6%80%A7%E5%88%86%E6%9E%901.png)
(5) Development and Application of Urban Intelligent Water Management Technologies
Combining statistical and mechanical learning tools (LSTM and SVR), using big data analysis methods to predict the water consumption behavior and water demand of water supply system users, as well as the establishment of pipeline leakage warning indicators analysis method, and at the same time, water deployment and water supply quality correlation analysis, these research methodological innovations can be used as the basis for the development of urban intelligent water management technology and deepen the direction of the guidelines. The preliminary results of this research have been published in two papers in the Water Research Conference (2019, 2021) and one paper in the Journal of Water Supply (2020). It is worth mentioning that in 2017, we were commissioned by Lianjiang County Waterworks to research and propose the "Lianjiang County Water Supply Intelligent System Master Plan" (with a total construction cost of 120 million RMB), which is the first water supply intelligent system plan covering water source, waterworks, and water network in the nation, and the project is expected to be completed by the end of 2020, and the analysis of the characteristics of residential water use can be utilized during the construction period (using the double-ring pie chart). During the construction period, it has been possible to analyze the characteristics of residential water use (using the outer ring of the double-ring pie chart to create a distribution curve) in order to understand the characteristics of water use in the villages of Nangan Township in the Matsu Region during the average day of each month. This analysis method can show the hour-by-hour behavior of water use in each village during each hour of the day, as well as a comparison of water use in each month. The results of this research are used to make management decisions at the Matsu Waterworks. Within a short period of time, the efficiency of water supply in the Matsu area has been significantly improved, and the leakage rate of the pipeline network has been dramatically reduced to less than 5% (from 14% to 4.4%), which also improves the quality of the water used by local residents and the stability of water supply, and makes the four villages and five islands of Matsu the first in the nation to have an intelligent water supply.
