Jump to the main content block
環安系LOGO

Top

  1. Home
  2. Teacher presentation
  3. Full-time teachers
  4. Full-time teachers details

Yu, Ruey-Fang Details

余瑞芳

Name：Professor Ruey-Fagn Yu 

Staff：Department of Safety,Health and Environmental Engineering,National United University Professor

Address：2, Lienda, Miaoli 36063, Taiwan, R.O.C

Research office：Tel：037-382279, 037-354164   Fax：037-381765

E-mail：rfyu@nuu.edu.tw or skyapril@ms7.hinet.net

Educational Background

1.  Ph.D., Institute of Environmental Engineering, National Central University (1994/9 - 1998/6)

2.  M.S., Institute of Environmental Engineering, National Cheng-Kung University (1986/9 - 1988/6)

3.  B.S., Department of Environmental Engineering, National Cheng-Kung University (1982/9 - 1986/6)

4.  Environmental Engineering Technician Passing the College Entrance Examination (1992)


            

Work Experiences

 

Vice President and Dean of Academic, National United University (2011/8 – 2012/07)

Dean of Academic Affairs, National United University (2009/8 – 2011/07)

Dean of Student Affair, National United University (2006 – present)

Professor, Department of Safety, Health and Environmental Engineering, National United University (2004 - present)

Associate Professor, Department of Safety, Health and Environmental Engineering, National United University (2003 - 2004)

Associate Professor, Department of Safety, Health and Environmental Engineering, National Lien-Ho Institute of Technology (1998 - 2003)

Lecturer, Department of Environmental Engineering, Lien-Ho College of Technology (1992 - 1998)

Research expertise：

Automatic monitoring and optimization of the ring program

Environmental Planning and Management / Environmental System Analysis

Water and wastewater treatment technology

Research areas and expertise：

  The main research areas are the monitoring and control of environmental engineering processing technology and the optimization of operational efficiency. In recent years, various different principles of wastewater treatment procedures have been developed and applied to treat different types of household and industrial wastewater, but how to make these procedures economical, efficient and on-line monitoring and automatic/instant control instant control ( Real-time control) is the most effective way to achieve a wastewater treatment process that optimizes the wastewater treatment process. Therefore, in recent years, research on the automatic monitoring and optimization of wastewater treatment procedures at home and abroad has received more and more attention. However, the research in this area of ​​the domestic environmental circle appears to be fragmented and lack of research on this aspect. The research team is a small number of domestic research teams for the domestic minority who have been investing in this aspect for more than 20 years. The research team is very embarrassed and has considerable effectiveness in this area of ​​the research team, and is quite effective, and has made considerable contributions to the academic and practical fields of related technologies.

  The research team has successfully developed a number of monitoring techniques and applied to the control of various processing procedures in the field of automated monitoring and optimization control of environmental engineering processing procedures, including: automatic monitoring of SBR biological nitrogen and phosphorus removal systems ( NSC84-89), automatic monitoring of wastewater disinfection procedures (chlorination and UV disinfection) (NSC90-92, 93-94), automatic monitoring of tap water coagulation procedures, application of digital image analysis technology to monitor lung water color and SS and chemistry Automatic monitoring of coagulation and sedimentation (NSC92-95, 98), automatic monitoring of Fenton series procedures (NSC95-97), automatic monitoring of nano zero-valent iron (NZVI) processing procedures (NSC99-101).

  According to the different research topics and objects, the main research areas and results are explained as follows:

A.　Automated and optimized monitoring of disinfection procedures (chlorination and UV/UV-TiO2 disinfection):

  Chlorination is one of the most common and indispensable treatment procedures in wastewater treatment unit procedures, but because wastewater contains different and variable chlorine-reducing substances (mainly ammonia nitrogen). Traditional experience-oriented chlorination control methods do not provide real-time information as an automatic control of the sterilization process. From my research, I found two peaks on the ORP curve in the ORP and pH curves continuously monitored by the chlorination and dechlorination automatic titration system. In addition, a knee appeared on the pH curve. The knee and the valley are also linearly related to the concentration of the main chlorine-consuming substance (ammonia nitrogen) contained in the wastewater. From this research, it can be concluded that the actual amount of chlorine required for disinfection can be provided as the basis for automatic control of wastewater chlorination and disinfection. This finding has not seen similar studies in the domestic and foreign literatures, and should be the first to see at home and abroad, and the control of the neural network can also achieve good control effects. This research and development of automatic monitoring technology has successfully applied for an invention patent, and the technology has also been transferred to the relevant industry.

  UV disinfection is a physical disinfection method. It has the advantages of no need for additional chemical agents, short disinfection reaction time, safe operation of equipment and safe operation. In considering the water quality of wastewater recycling and reuse, it should be the most potential for small communities. Disinfection of wastewater in use. Only a number of factors affecting UV disinfection, including SS concentration, penetration rate, etc., due to the complex and variable characteristics of the wastewater itself, there is inherent uncertainty in monitoring and handling, so the development of automatic monitoring technology for UV disinfection Not many, so the best control strategy for UV disinfection cannot be established. In order to meet the requirements of water resources recycling and reuse, this study explores and attempts to establish an automatic monitoring technology for UV disinfection. A simple on-line spectrometer is used as the main monitoring instrument, and TiO2 with sterilization and other functions is added. To increase the efficiency of UV disinfection, monitor UV intensity, and establish information on raw water quality parameters, using neural networks to simulate SS, turbidity, pH, temperature, ORP, chromaticity, and UV light intensity in wastewater, After the relationship between residence time, UV dose and residual E. coli, there is a good correlation, and the UV disinfection treatment control program is further developed to establish an optimal control method for UV disinfection to improve UV disinfection efficiency and operation. cost.

 

B.　Application of digital image analysis technology to monitor water color and SS and chemical coagulation and sedimentation automatic monitoring：

  Digital image analysis is a fast-growing and economically-sounding technology. The applicant's research team has developed this technology to the most water and wastewater quality monitoring and process control. Over the years, it has developed a number of innovative technologies. It can automatically monitor the true color chromaticity, particle size, morphological characteristics (fracture dimension) and SS concentration of wastewater, and use this technology to develop the program control of tap water and wastewater coagulation and sedimentation, effectively control and master the dosage. , residence time and assessment of SS and turbidity of the release. The relevant results are described as follows:

  At present, the detection method of wastewater color is mainly based on ADMI's 3 wavelength and 31 wavelength methods. These two methods are difficult to monitor immediately to provide automatic control for chroma removal. This study attempts to use a digital camera to take samples of color images. And analyze the RGB value of the image, calculate the XYZ tristimulus values ​​from the RGB values, and then calculate the true color chromaticity value through the conversion, and successfully develop the automatic color gamut automatic monitoring method. In addition, the calculated values ​​of ADMI's 3 wavelength and 31 wavelength methods will vary greatly depending on the color system. This study uses a neural network to establish a new calculation mode, using the new 4 and 6 wavelength methods. To solve this problem, this calculation mode has the potential to replace the complex calculation method of the original standard method, which is a breakthrough.

  The applicant's research team also developed a technique for simultaneously monitoring the particle size and its type characteristics of suspended particles in water using digital image analysis. It can successfully monitor the particle size of suspended particles above 10um. The monitoring results of this method are compared with the commercial mine. The analysis results of the particle size analyzer are very close, but because of its continuous monitoring and very cheap economic incentives, it has a very high application value in the control of chemical coagulation procedures, even replacing expensive laser particle size analysis. instrument. The research team further applied it to the chemical coagulation and sedimentation control of wastewater and tap water (participating in the research of Professor Zheng Wenbo). Attempts to develop an economical and simple chemical coagulation and sedimentation control technology using on-line image analysis technology, using the particle size, area, volume and fractal dimension of the monitoring, combined with the theoretical development of precipitated solid flux An automatic real-time technology that can be used to automatically control the wastewater chemical coagulation and sedimentation process, saving associated operating costs.

 

C.　Automation and Optimization of Fenton Series Processing Programs：

  In recent years, many scholars at home and abroad have treated dye/dyeing wastewater in a variety of Advanced Oxidation Processes (AOPs), Fenton series (composed of Fenton, Photo-Fenton, Electro-Fenton, etc.) with ferrous ions. Catalytic hydrogen peroxide generates a large amount of hydroxyl radicals (OH·), which destroys the bond of the chromophore, and has the advantages of high efficiency and low operating cost. The purpose of this study was to investigate the development of automated monitoring techniques for the treatment of dyeing and finishing wastewater using the Fenton series of procedures. Since ORP has been applied to the automatic monitoring of wastewater treatment systems, there have been many successful applications, and the OH‧ produced by the Fenton program has a strong oxidizing power. During the reaction, the ORP increases with the increase of hydrogen peroxide, which should be effective. Used in the control of oxidative decolorization, this study explores the feasibility of using ORP as a control parameter, establishes the Fenton series of programs to remove the chromaticity of the automation and optimization control technology, while using the neural network to simulate ORP and pH, Fenton reagent The relationship between the chromaticity removal rate, the original wastewater chromaticity value and the residual chromaticity after treatment has a very good correlation, and this relationship can be applied to develop the control of the Fenton series of programs. The established Fenton dosing control program is set up to set various color removal targets. Firstly, the amount of each dosing is calculated by means of neural network analysis, and the estimated dosing amount is tested to verify whether it conforms to the original. Set the chroma removal target and analyze its correlation with the target value and the actual value. The research team established ORP, pH, DO-based monitoring and program control technology for Fenton, Photo-Fenton, and Electro-Fenton programs. The results of the experimental verification by the relevant experiments show that the correlation coefficient R2 between the control target and the actual dosing amount can reach 0.93 or more. From the above research results, it is shown that the dosages estimated by various dosing amount control programs can be processed to the target range of the setting.

 

D.　Automatic monitoring of nano zero-valent iron (NZVI) wastewater treatment procedures:


  In recent years, many scholars at home and abroad have treated dye/dyeing wastewater in a variety of Advanced Oxidation Processes (AOPs), Fenton series (composed of Fenton, Photo-Fenton, Electro-Fenton, etc.) with ferrous ions. Catalytic hydrogen peroxide generates a large amount of hydroxyl radicals (OH·), which destroys the bond of the chromophore, and has the advantages of high efficiency and low operating cost. The purpose of this study was to investigate the development of automated monitoring techniques for the treatment of dyeing and finishing wastewater using the Fenton series of procedures. Since ORP has been applied to the automatic monitoring of wastewater treatment systems, there have been many successful applications, and the OH‧ produced by the Fenton program has a strong oxidizing power. During the reaction, the ORP increases with the increase of hydrogen peroxide, which should be effective. Used in the control of oxidative decolorization, this study explores the feasibility of using ORP as a control parameter, establishes the Fenton series of programs to remove the chromaticity of the automation and optimization control technology, while using the neural network to simulate ORP and pH, Fenton reagent The relationship between the chromaticity removal rate, the original wastewater chromaticity value and the residual chromaticity after treatment has a very good correlation, and this relationship can be applied to develop the control of the Fenton series of programs. The established Fenton dosing control program is set up to set various color removal targets. Firstly, the amount of each dosing is calculated by means of neural network analysis, and the estimated dosing amount is tested to verify whether it conforms to the original. Set the chroma removal target and analyze its correlation with the target value and the actual value. The research team established ORP, pH, DO-based monitoring and program control technology for Fenton, Photo-Fenton, and Electro-Fenton programs. The results of the experimental verification by the relevant experiments show that the correlation coefficient R2 between the control target and the actual dosing amount can reach 0.93 or more. From the above research results, it is shown that the dosages estimated by various dosing amount control programs can be processed to the target range of the setting.

E.　Automatic monitoring of nano zero-valent iron (NZVI) wastewater treatment procedures:

Nanoscale zero-valent iron (NZVI) is highly reductive and is the latest in wastewater treatment technology in recent years. Because iron is second only to aluminum in the earth, it is cheap and easy to obtain, and it is easy to be recycled and reused. It has a reducing reaction on pollutants and is not easy to cause secondary pollution. It is a high-efficiency potential. Wastewater treatment program. In recent years, the application of zero-valent iron and more efficient nano-zero-valent iron has been explored in the treatment of various industrial wastewaters such as dye/dyeing wastewater, dechlorination of chlorine-containing organic compounds, and other heavy metal wastewaters containing chromium. Waste water containing nitrate wastewater, TNT and RDX gunpowder. However, the use of nano-zero-valent iron in the treatment of industrial wastewater with considerable variability in water quality has problems such as high operating cost and difficulty in handling. These problems are directly or indirectly related to dosing amount, pH control, reaction time, and intermediate reaction. Such as many factors, making the nano zero-valent iron program difficult to control, so through automatic monitoring to instantly control the operating parameters such as dosing amount, pH or residence time / reaction time, is a reduction in operating costs and improve efficiency. This series of research uses nano zero-valent iron reduction and combined with the subsequent Fenton program to deal with three kinds of industrial wastewater, including dyeing and finishing wastewater, chromium-containing industrial wastewater and industrial wastewater containing trichloroethylene.
From this series of studies, it is found that (1). In the process of treating dyeing and finishing wastewater with nano zero-valent iron combined with Fenton, the variation of monitoring parameters DO and ORP in the reaction tends to be gentle, which can be judged as nano zero-valent iron reduction. The control time point of the color reaction. In the reduction phase, the inverse neural network in the neural network predicts the chroma removal rate analysis R2=0.96. The chromaticity removal rate of the oxidation stage is predicted to be R2 = 0.93. The chroma removal rate analysis of the oxidation stage in the sacral neural network was R2=0.96. (2). Nano zero-valent iron combined with Fenton to process TCE wastewater. By monitoring the change of parameters, the phenomenon of reduction reaction in the system can be determined. The pH rises rapidly, the ORP falls to a negative value, and the DO value in the water shows an anaerobic state within 3 minutes of the reaction. When the removal rate of trichloroethylene reaches a gentle level, each monitoring The amount of parameter change exhibits a stable reduction state. In the batch test, nano zero-valent iron can rapidly reduce and degrade trichloroethylene, and the final removal rate can reach more than 90%. The change of each monitoring parameter will vary with the change of different nano zero-valent iron dosage. The multivariate regression and neural network were used to predict the removal rate of trichloroethylene. The neural network prediction analysis was more accurate than the regression analysis. The correlation coefficient was above 0.98. From the above research results, it is shown that the monitoring of ORP/DO/pH combined neural network can optimize the optimization of nano zero-valent iron program for three different industrial wastewater treatments.

 

F.　Environmental Information System Research:

The environmental database mainly integrates the time and space information of people, places and objects in the real world according to the background information of the natural environment and the humanities and social conditions, and integrates them into a complete environmental database. The establishment of an environmental database is not only to support the implementation of environmental protection work, but also to ensure that economic development activities can continue smoothly. In addition to providing information on various pollution conditions, environmental indicators and environmental information, the environmental database can also provide environmental quality indicator construction, environmental impact assessment, environmental tolerance capacity estimation, total control plan, and various environmental protection environments. The valuable estimation basis for the estimation and estimation model and environmental arbitration, and the environmental data and data used for corroboration. However, the relevant measures should also be appropriate to enable the full function of the environmental database. The establishment of a comprehensive environmental assessment indicator system requires two prerequisites: first, the sufficiency of the environmental database and the continuation of construction operations. Second, the indicator system itself needs proper research to plan the most appropriate data collection. Projects and scope; many environmental researchers often reflect the inadequacy and reliability of various types of so-called environmental basic data or background data in various parts of Taiwan. In order to consider the completeness and practicability of the environmental assessment index system, this plan The short- and medium-range targets support the basic information needs of the "Permanent Taiwan Assessment System" and "Permanent Taiwan 2011", and the long-term goal is to establish a national environmental database management authority for Taiwan, responsible for long-term maintenance management. Environmental information and environmental information from a variety of environmental sources, and can provide government management decisions, academic research and general public inquiry.
The plan proposes a priority for the advisory committee of the National Science Council Environmental Sustainability Committee to build a vision for sustainable development in Taiwan, including three main issues: (1) perpetual Taiwan 2011, (2) perpetual Taiwan review Volume System and (3) Sustainable Development Information System. This total painting is proposed for the above-mentioned plan. The former president of the Central University, Liu Zhaohan, is the chief moderator. The co-hosts are Professor Xiao Xinhuang from the Academia Sinica, Professor Ye Junrong from Taiwan University and Professor Yu Youhua. The three co-facilitators convened several professors on the above three main issues to co-chair the implementation of this part of the project. I am part of the pollution prevention team convened by Professor Liao Shuliang in the Sustainable Development Information System hosted by Professor Xiaohua. I am responsible for the collection of river and marine environment information, the construction of metadata database and the quality management of data. The development of the system and other work.

Editor/Editorial Board

1.Editor in chief, Journal of National United University, 2009-2012

2.Editorial Board/Editor, The Scientific World Journal (SCI-E 2011 IF = 1.730), Hindawi Publishing Corporation

3.Editorial Board, Intelligent control and automation, Scientific Research.

4.Editorial Board, ISRN Environmental Chemistry, Hindawi Publishing Corporation.

5.Editorial Board, Advances in Environmental Research, An International Journal (AER). Techno Press Services,

6.Editorial Board Member, International Journal of Environmental Engineering, IRED Conferences & Journals,

7.Editorial Board Member, International Journal of Structural Analysis and Design, IRED Conferences & Journals

8.Editorial Board, Austin Journal of Robotics & Automation, Austin Publishing Group, USA.

9.Member, Asian Council of Science Editors (ACSE).

Committee

 

1.Program Committee Co-Chair, C E U P 2014 -the 3rd International Conference on Civil Engineering and Urban Planning, June 20-22, 2014 Wuhan, China.

2.Editorial Board, International Conference On Advances in Applied Science and Environmental Engineering - ASEE 2014 organized by Institute of Research Engineers and Doctors at Kuala Lumpur, Malaysia, 02-03 August, 2014.

3.SCIENTIFIC COMMITTEE of the 2nd IASME/WSEAS International Conference on ENERGY & ENVIRONMENT by World Scientific and Engineering Academy and Society (WSEAS).

 

 

Reviewer:

 

1. Critical Reviews in Environmental Science & Technology (SCI=7.091, 2009)

 

2. Water Research (SCI=5.323, 2013).

3. Journal of Hazardous Materials (SCI=4.331, 2013)

4. Chemical Engineering Journal (SCI=4.058, 2013)

5. Chemosphere (SCI=3.499, 2013)

6. Journal of Chemical Technology & Biotechnology (SCI=2.494)

7. International Journal of Environmental Science and Technology (SCI=3.157)

8. Desalination (SCI=1.851).

9. Biochemical Engineering Journal (SCI=2.692).

10. Environmental Science and Pollution Research (SCI=2.618, 2012)

11. Industrial & Engineering Chemistry Research (SCI=2.237)

12. Journal of the Taiwan Institute of Chemical Engineers (SCI=2.084, 2012)

13. Environmental Monitoring and Assessment (SCI=1.432)

14. Journal of Polymers and the Environment (SCI=1.057)

15. American Society of Civil Engineers (ASCE) Practice Periodical of Hazardous, Toxic, and Radioactive Waste Management (SCI)

16. Desalination and water treatment (SCI)

17. Water science and technology (SCI)

18. Italian Journal of Remote Sensing (SCI)

19. African Journal of Biotechnology (SCI)

20. Frontiers of Environmental Science and Engineering (SCI)

21. African Journal of Environmental Science and Technology (SCI)

22. Chemical Engineering Communications (SCI)

23. INTERNATIONAL JOURNAL OF WATER RESOURCES AND ENVIRONMENTAL ENGINEERING

24. Journal of Environmental Chemical Engineering (Elsevier)

25. Journal of the Chinese Institute of Environmental Engineering

  

2、Referred paper/Journal paper:

1. Ruey-Fang Yu, Fung-Hwa Chi, Wen-Po Cheng, Z-C Chang (2014) Evaluating chromium (VI) removal from wastewater by the nanosacle zero-valent iron (nZVI) process applying on-line pH, ORP, and DO monitoring. Chemical Engineering Journal 255, 568–576, (SCI 2013 IF = 4.058) (11/133, ENGINEERING, CHEMICAL).

 

2. Ruey-Fang Yu, Ho-Wen Chen, Wen-Po Cheng, Hong-Di Huang. (2014) Applying on-line image analysis to simultaneously evaluate the removals of suspended solids and color from textile wastewater in chemical flocculated sedimentation. Journal of Environmental Informatics (Accepted) (SCI 2013 IF = 3.773). 

 

3. Ruey-Fang Yu, Fung-Hwa Chi, Wen-Po Cheng, Min-Haw Wang (2014) ORP and pH monitoring for the control of nanosacle zero-valent iron (nZVI) process for trichloroethylene wastewater treatment. International Journal of Environmental Science and Technology. (Accepted) (SCI 2013 IF = 1.794). (0/0) (36/205, ENVIRONMENTAL SCIENCES)

 

4. Ruey-Fang Yu, Wen Wang, Wen-Po Cheng, Ming-Min Chen. (2014) On-line evaluating the SS removals for chemical coagulation using digital image analysis and artificial neural networks. International Journal of Environmental Science and Technology. (Accepted) (SCI 2013 IF = 1.794). (36/205, ENVIRONMENTAL SCIENCES)

 

5. Ruey-Fang Yu, Ho-Wen Chen, Wen-Po Cheng, Yi-Jun Lin, Chin-Lan Huang. (2014) Monitoring of ORP, pH and DO in heterogeneous Fenton oxidation using nZVI as a catalyst for the treatment of azo-dye textile wastewater. Journal of the Taiwan Institute of Chemical Engineers, 45, 947-954. (SCI 2013 IF = 2.637). (34/133, ENGINEERING, CHEMICAL)

 

6. Fung Hwa Chi, Wen Po Cheng, Dun Ren Tian, Ruey Fang Yu, Chi Hua Fu (2014) Potassium alum crystal derived from aluminum salt in water treatment sludge by nanofiltration. Journal of Material Cycles and Waste Management (Accepted) (SCI 2012 IF = 0.568) 10.1007/s10163-014-0269-3.

 

7. Ho-Wen Chen, Wei-Yea Chen; Ruey-Fang Yu; Yu-Hao Lin (2014) Bio-inspired Optimal Site Selection of Natural Gas Stations for Gas-driven Cars in an Urban Region. Atmospheric Environment (under review) (SCI 2012 IF = 3.110).

 

8. Fung-Hwa Chi, Wen Po Cheng, Ruey Fang Yu (2014) Recycling flushing solutions in the remediation of PAHs-contaminated soils. Chemosphere (under review) (SCI 2012 IF =3.317 ).

 

9. Wen Po Cheng, Ping-Hung Chen, Ruey-Fang Yu (2014) Treating ammonium rich wastewater with water purification sludge to produce ammonium alum. Journal of Water Process Engineering (under review).

 

10. Wen Po Cheng, Ping Hung Chen, Dun Ren Tian, Ruey Fang Yu, Chi Hua Fu (2014) Use of nanofiltration (NF) membrane to concentrate and recover leached aluminum from acidified water treatment sludge. Environment Protection Engineering (SCI 2012 IF = 0.423) (under review).

 

11. Wen Po Cheng, Ping-Hung Chen, Dun-Ren Tian and Ruey-Fang Yu (2014) Application of nanofiltration membrane in the separation of aluminum from alkaline sludge solution. Soil and water research (SCI 2012 IF = 0.333) (under review).

 

12. Ruey-Fang Yu, Chuang-Hung Lin, Ho-Wen Chen, Wen-Po Cheng, Ming-Chien Kao. (2013) Possible control approaches of the Electro-Fenton process for textile wastewater treatment using on-line monitoring of DO and ORP. Chemical Engineering Journal 218 341–349. (SCI 2013 IF = 3.473) (11/133, ENGINEERING, CHEMICAL) 

 

13. Chuang-Hung Lin, Ruey-Fang Yu, Wen-Po Cheng, Chun-Ru Liu. (2012) Monitoring and control of UV and UV-TiO2 disinfections for municipal wastewater reclamation using artificial neural networks. Journal of Hazardous Materials 209-210, 384-354. (SCI 2012 IF = 3.925). (Corresponding author) (1/118, ENGINEERING, CIVIL)

 

14. Wen-Po Cheng, Chi-Hua Fu, Ping-Hung Chen, Ruey-Fang Yu. (2012) Dynamics of aluminum leaching from water purification sludge. Journal of Hazardous Materials 217-218, 149-155. (SCI 2012 IF = 3.925).  (1/118, ENGINEERING, CIVIL)

 

15. Wen Po Cheng, Jen Neng Chang, Ruey Fang Yu, Yu Wei Huang. (2012) Assessing coagulant dosage in full-scale drinking water treatment plant using nephelometric turbidimeter monitoring system. Environ. Eng. Sci. 29, 3, 212-217 (SCI 2011 IF = 0.877) (0/0) (62/205, ENVIRONMENTAL SCIENCES)

 

16. Wen Po Cheng, Chi Hua Fu, Ping Hung Chen, Ruey Fang Yu (2012) Ultrasound Assisted Method To Increase The Aluminum Dissolve Rate From Acidified Water. Proceeding of World Academy of Science, Engineering and Technology, 6, 948-952. (SCI )

 

17. Wen Po Cheng*, Jen Neng Chang, Ping Hung Chen, Ruey Fang Yu, Yu Wei Huang. (2011). Turbidity fluctuation as a measure of floc size in a coagulation pilot study. Desalination and Water Treatment, 30, 98-104 (SCI 2011 IF = 0.614). (90/133, ENGINEERING, CHEMICAL) 

 

18. Wen Po Cheng*, Ying Ju Hsieh, Ping Hung Chen, Ruey Fang Yu, Yu Wei Huang. (2011). Comparing Floc Strength using a Turbidimeter. International Journal of Mineral Processing, 100, 142-148 (SCI 2011 IF = 1.304).  (1/0) (59/133) (6/23, MINING & MINERAL PROCESSING) (59/133, ENGINEERING, CHEMICAL) 

 

19. 余瑞芳* (2011)「電解Fenton廢水處理程序之自動化與最佳化之研究」，國科會工程科技通訊，Engineering science and technology bulletin, NSC，第112-113期，22-26.

 

20. Ruey-Fang Yu*, Ho-Wen Chen, Kuang-Yu Liu, Wen-Po Cheng, Peng-Han Hsieh. (2010). Control of the Fenton process for textile wastewater treatment using artificial neural networks. Journal of Chemical Technology & Biotechnology 85, 267-278 (SCI 2011 IF = 2.168). (3/0) (32/133, ENGINEERING, CHEMICAL) 

 

21. Wen Po Cheng*, Yu Pin Kao and Ruey Fang Yu. (2010). Comparison of Three Coagulants by On-Line Turbidity Monitoring. Proceedings of the Institution of Civil Engineers-Water Management, 163 (2), 89 –94 (SCI 2011 IF = 0.602). (7) (67/118, ENGINEERING, CIVIL) 

 

22. Wen Po Cheng*, Wei Yu Chen, Ruey Fang Yu. (2010). The relationship between particle size and turbidity fluctuations in coagulation processs. Journal of Residuals Science & Technology, 7 (2), 87-94. (SCI 2011 IF = 0.508).  (4/0) (41/45, ENGINEERING, ENVIRONMENTAL) 

 

23. Chen, H.W., Yu, R.F., Liaw, S.L., Huang, W.C.(2010). Information policy and management framework for environmental protection organization with ecosystem conception. International Journal of Environmental Science and Technology, 7(2) 313-326 (SCI 2011 IF = 3.051) (4) (36/205, ENVIRONMENTAL SCIENCES) 

 

24. Ho-Wen Chen,∗ Shu-Kuang Ning, Ruey-Fang Yu, Jeng-Chung Chen. (2010). Optimal safe groundwater yield for land conservation in a seashore area under uncertainty. Resources Conservation and Recycling, 54, 481-488. (SCI 2011 IF = 1.759) (1) (19/45, ENGINEERING, ENVIRONMENTAL) 

 

25. Chen, H. W.; Yu, R. F.; Ning, S. K.; Huang, H. C. (2010). Forecasting effluent quality of an industry wastewater treatment plant by evolutionary grey dynamic model. Resources Conservation and Recycling, 54, 235-241. (SCI 2011 IF = 1.759)  (1/0) (19/45, ENGINEERING, ENVIRONMENTAL)  

 

26. Wen Po Cheng*, Ruey Fang Yu, Ying Ju Hsieh, Shu Yi Wu, Yu Wei Huang, Sin Ming Chen. (2010). Optimizing Coagulant Demand by Nephelometric Turbidimeter Monitoring System (NTMS). Desalination and Water Treatment, 16, 95-100 (SCI 2011 IF = 0.614) (8) (90/133, ENGINEERING, CHEMICAL) 

 

27. Wen Po Cheng*, Wei Yu Chen, Ruey Fang Yu. (2010). PAC Coagulation for Solid-Liquid Separation of High-Concentrated Algae Suspensions. Desalination and Water Treatment, 16, 290-297 (SCI 2011 IF = 0.614). (2/0) (90/133, ENGINEERING, CHEMICAL) 

 

28. Wen Po Cheng*, Jen Neng Chang, Ping Hung Chen, Ruey Fang Yu, Yu Wei Huang, Ying Ju Hsieh. (2010). Monitoring Floc Formation to Achieve Optimal Flocculation in Water Treatment Plants. Environ. Eng. Sci., 27(6), 523-530 (SCI 2011 IF = 0.877). (7/0) (62/205, ENVIRONMENTAL SCIENCES) 

 

29. Wen Po Cheng*, Ying Ju Hsieh, Ruey Fang Yu, Yu Wei Huang, Shu Yi Wu. (2010). Characterizing polyaluminum Chloride(PACI) Coagulation Floc Using an On-Line Continuous Turbidity Monitoring System. Journal of the Taiwan Institute of Chemical Engineers, 41,547-552. (SCI 2011 IF = 2.110). (7/0) (34/133,ENGINEERING, CHEMICAL)  

 

30. Wen Po Cheng*, Fung Hwa Chi, Yu Pin Kao and Ruey Fang Yu. (2010). Using On-line Turbidimeter Monitoring Technique in Evaluating Algal Suspension Removal. Environment Protection Engineering, 36 (4), 65-75. (SCI 2011 IF = 0.520).(0/0)  (40/45,  ENGINEERING, ENVIRONMENTAL) 

 

31. Ruey-Fang Yu*, Ho-Wen Chen, Wen-Po Cheng, Peng-Han Hsieh. (2009). Dosage control of Fenton process for color removal of textile wastewater applying ORP monitoring and artificial neural network. Journal of Environmental Engineering, ASCE, 135(5), 325-332. (SCI 2011 IF = 1.312 / 環工學門重點期刊) (5/1) (24/118,  ENGINEERING, CIVIL) 

 

32. Ho-Wen Chen*, Ni-Bin Chang, Ruey-Fang Yu, Yi-Wen Huang. (2009). Urban land use and land cover classification using the neural-fuzzy inference approach with Formosat-2 data. Journal of Applied Remote Sensing, 3, 1-18 (SCI 2011 IF = 0.818) (3) (11/21,  IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY) 

 

33. Ruey-Fang Yu*, Ho-Wen Chen, Wen-Po Cheng, Yu-Chiu Shen. (2009). Application of pH-ORP titration to dynamically control the chlorination and dechlorination for wastewater reclamation. Desalination 244, 164-176 (SCI 2011 IF = 2.590). (1/0) (5/78, WATER RESOURCES) 

 

34. Ruey-Fang Yu*, Ho-Wen Chen, Wen-Po Cheng, Mei-Ling Chu. (2009). Simultaneously monitoring the particle size distribution, morphology and suspended solids concentration in wastewater applying digital image analysis (DIA). Environmental Monitoring and Assessment 148, 19-26 (SCI 2011 IF = 1.400). (2/0) (118/205, ENVIRONMENTAL SCIENCES) 

 

35. Ruey-Fang Yu*, Ho-Wen Chen, Wen-Po Cheng, Yu-Chiu Shen. (2008). Dynamic control of disinfection for wastewater reuse applying ORP/pH monitoring and artificial neural networks. Resources Conservation and Recycling 52, 1015–1021 (SCI 2011 IF = 1.759). (7/0) (88/205, ENVIRONMENTAL SCIENCES) 

 

36. Wen Po Cheng*, Yu Pin Kao and Ruey Fang Yu (2008). A Novel Method for On-Line Evaluation of Floc Size in Coagulation Process. Water Research, 42(10-11), 2691-2697. (SCI 2011 IF = 4.865) (13) (1/78, WATER RESOURCES) 

 

37. Wen Po Cheng*, Chin Chang Li, Ruey Fang Yu. (2008). Preparing polyaluminum chloride coagulants using ultrasonic-assisted NaOH dosing. Environmental Engineering Science 25 (3), pp. 451-459. (SCI 2011 IF =0.877 ). (2) (62/205, ENVIRONMENTAL SCIENCES) 

 

38. Wen Po Cheng*, Chin Chang Li, Ruey Fang Yu and Wei Chih Chuang. (2008). A Study on the Removal of Organic Substances from Low-Turbidity and Low-Alkalinity Water with Metal-Polysilicate coagulants. Colloids and Surfaces A. 312(2-3), 238-244 (SCI 2011 IF=2.236). (31) (61/134, CHEMISTRY, PHYSICAL)  

 

39. Wen Po Cheng*, Chin Chang Li and Ruey Fang Yu. (2007). Study on Coagulation Property of Polyaluminum Silicate Chloride Coagulants Prepared with Ultrasonic-Assisted NaOH Dosing. Separation Science and Technology,42, 3217-3228 (SCI 2011 IF = 1.088). (64/133, ENGINEERING, CHEMICAL) 

 

40. Ho-Wen Chen*, Shu-Kuang Ning, Ruey-Fang Yu, Ming-Sung Hung. (2007). Optimizing the Monitoring Strategy of Wastewater Treatment Plants by Multiobjective Neural Networks Approach. Environmental Monitoring and Assessment, 125, 325-332. (SCI 2011 IF = 1.400). (1) (118/205, ENVIRONMENTAL SCIENCES)  

 

41. Wen Po Cheng*, Fung Hwa Chi and Ruey Fang Yu. (2006). Evaluation the Ability of Polyaluminum Silicate Chloride Coagulants for Turbidity Removal Efficiency" Separation Science and Technology, 41(2), 297-308. (SCI 2011 IF = 1.088). (10) (64/133, ENGINEERING, CHEMICAL) 

 

42. 余瑞芳* (2006)「廢水加氯消毒自動控制技術之研發」，國科會工程科技通訊，Engineering science and technology bulletin, NSC，第86期，127-131.

 

43. Ho-Wen Chen* and Ruey-Fang Yu. (2006). Evolutionism of environmental information system through quality system. Journal of the Chinese Institute of Environmental Engineering. 16 (2), 103-109. 

 

44. Ruey-Fang Yu*, Ho-Wen Chen, Wen-Po Cheng and Mei-Ling Chu. (2006). Measurements of Wastewater True color by 4/6 Wavelength Methods and Artificial Neural Network. Environmental Monitoring and Assessment 118(1-3), 195-209. (SCI 2011 IF = 1.400). (1/1) (118/205, ENVIRONMENTAL SCIENCES) 

 

45. Wen Po Cheng*, Fung Hwa Chi and Ruey Fang Yu. (2005). Using Chitosan as a Coagulant in Recovery of Organic matters from the Mash and Lauter Wastewater of Brewery. Journal of Polymers and the Environment, 13(4), 383-388. (SCI 2011 IF = 1.349). (13) (38/79, POLYMER SCIENCE)

 

46. 余瑞芳* (2005) 「應用數位影像分析技術於廢水真色色度自動監測與除色程序自動控制之研究」，國科會工程科技通訊，Engineering science and technology bulletin, NSC，第79期，91-93.

 

47. Ruey-Fang Yu*, Wen-Po Cheng and Mei-Ling Chu (2005). On-line monitoring of wastewater true color using digital image analysis and ANN” JOURNAL OF ENVIRONMENTAL ENGINEERING-ASCE, 131(1), 71-79. (SCI 2011 IF = 1.312 / 環工學門重點期刊). (6/5) (24/118, ENGINEERING, CIVIL)

 

48. Ruey-Fang Yu*, Ho-Wen Chen, Wen-Po Cheng, Fung-Hwa Chi, Shu-Liang Liaw and Yue-Hwa Yu (2004). Development of a Data Quality Management System for ROC EPA. Journal of the Chinese Institute of Environmental Engineering. 14 (3), 141-149.

 

49. Ruey-Fang Yu*. (2004). Feed-forward dose control of wastewater chlorination using on-line pH and ORP titration. Chemosphere. 56(10), 973-980 (SCI 2011 IF = 3.206). (10/5) (32/205, ENVIRONMENTAL SCIENCES)

 

50. 余瑞芳*、陳鶴文 (2004) 「環境資訊品質之規劃與管理」，中華民國環境工程會刊，第十五卷第一期，第33-38頁，中華民國環境工程學會。

 

51. Wen Po Cheng*, Fung Hwa Chi and Ruey Fang Yu. (2004). Evaluation the Coagulation Efficiency of Dissolve Organic Carbon Removal in Reservoir Water Sample Using Fluorescence and Ultraviolet Photometry. Environmental Monitoring and Assessment, 98(1-3), 421-431 (SCI 2011 IF = 1.400). (5) (118/205, ENVIRONMENTAL SCIENCES)

 

52. Wen Po Cheng*, Fung Hwa Chi and Ruey Fang Yu. (2004). Effect of Phosphate on Removal of Humic Substances by Aluminum Sulphate Coagulant. JOURNAL OF COLLOID AND INTERFACE SCIENCE. 272, 153-157. (SCI 2011 IF = 3.070). (13) (42/132)

 

53. Ruey-Fang Yu*, Wen-Po Cheng. (2003). Determination of chlorine demand in water and wastewater chlorination by oxidation-reduction potential. (2003) Water Science and Technology: Water Supply, 3 (1-2), pp. 313-320. (7/3)

 

54. Cheng, W.P., Yu, R.F. (2003). Microwave-assisted preparation of polyferric sulfate coagulant. Separation Science and Technology, 38 (1), pp. 39-55. (0) (64/133, ENGINEERING, CHEMICAL)

 

55. 余瑞芳*、廖述良、游家桓 (2002).「區域性廢水管理系統最佳化模式之建立」聯合學報 vol. 21，國立聯合技術學院，pp. 237-254。

 

56. 余瑞芳*、鄭文伯、朱美玲 (2002) 「應用數位影像分析技術於廢水真色色度自動監測之可行性研究」環保月刊 Vol. 2, No. 8, pp. 122-131。

 

57. 余瑞芳*、鄭文伯、朱美玲 (2002) 「以數位影像分析技術監測廢水真色色度之研究」，聯合學報，vol. 19，國立聯合技術學院，pp. 197-210。

 

58. 鄭文伯*、余瑞芳、湯屏玉、張婕妤、陳建勛、紀哲訓 (2002)「以飲用水觀點探討明德水庫水質優養化的成因與影響」，聯合學報, vol. 19，pp  ，國立聯合技術學院。

 

59. Ruey-Fang Yu*, Shu-Liang Liaw, Bo-Chuan Cho, and Sue-Jane Yang (2001). Dynamic control of a continuous-inflow SBR with time-varying influent loading. Water Science and Technology, Vol. 43, No. 3, pp.107-114. (SCI 2011 IF = 1.122). (10/0) (38/78)

 

60. Bo-Chuan Cho*, Shu-Liang Liaw, Cheng-Nan Chang, Ruey-Fang Yu, Su-Jan Yang and Bo-Ren Chiou (2001). Development of a real-time control system with artificial neural network for automatic control of a continuous-flow sequencing batch reactor. Water Science and Technology Vol. 44, No. 1, pp.95-104. (SCI 2011 IF = 1.122). (38/78)

 

61. Ruey-Fang Yu*, Shu-Liang Liaw, Wan-Yuan Cheng and Cheng-Nan Chang (2000/10).  Performance enhancement of a SBR applying real-time control. Journal of Environmental Engineering, ASCE, Vol. 126, No. 10, pp. 943-948. (SCI 2011 IF = 1.312 / 環工學門重點期刊). (17/6) (24/118) 

 

62. Ruey-Fang Yu*, Shyh-Fang Kang, Shu-Liang Liaw and Mei-chih Chen (2000/8). Application of artificial neural network to control the coagulant dosing in water treatment plant. Water Science and Technology Vol. 42, No. 3-4. pp. 403-408 (SCI 2011 IF = 1.122). (16/2) (38/78) 

 

63. Ruey-Fang Yu*, Shu-Liang Liaw, Chang-Nan Chang and Wan-Yuan Cheng (1998). Applying real-time control to enhance the performance of nitrogen removal in continuous-flow SBR system. Water Science and Technology Vol. 38, No. 3, pp. 271-280. (SCI 2011 IF = 1.122). (38/0) (38/78) 

 

64. Ruey-Fang Yu*, Shu-Liang Liaw, Cheng-Nan Chang and Wan-Yuan Cheng (1997). Enhancing the Performance of Nitrogen Removal in Continuous-flow SBR system Using Real-time Control. Journal of the Chinese Institute of Environmental Engineering Vol. 7, No. 4, pp. 319-328. (中華民國環境工程學會87年度學術論文獎)

 

65. Ruey-Fang Yu*, Shu-Liang Liaw, Cheng-Nan Chang, Hsueh-Jhy Lu and Wan-Yuan Cheng (1997). Monitoring and Control Using On-line ORP on Continuous-flow Sludge Batch Reactor System. Water Science and Technology. Vol. 35, No. 1, pp. 57-66. (SCI 2011 IF = 1.122). (50/2) (38/78)  

 

66. C.-N Chang*, J.-G Lin, A.-C Chao, B.-C Cho, R.-F Yu (1997/9). The Pretreatment of Acrylonitrile and Styrene with the Ozonation Process. Water Science and Technology (SCI) Vol. 36, No. 2-3, pp. 263-270. (SCI 2011 IF = 1.122). (38/78)

 

67. 余瑞芳*，張鎮南，陳婉如 (1996) 「自動ORP監控於好氧生物處理系統運用之初探」中國環境工程學刊 ，第六卷，第二期，pp. 165-171。

 

68. 余瑞芳*、張鎮南、廖述良 (1995)「氧化還原電位(ORP)在廢水處理系統運用」，工業污染防治，第14卷，第1期。pp. 139-150。

 

69. Cheng-Nan Chang*, Ruey-Fang Yu, Allen C. Chao and Seishu Tojo (1994). On-line Monitoring and Control of the Textile Wastewater Color Removal Process. Water Science and Technology Vol.30, No. 3, pp. 265-274. (SCI 2011 IF = 1.122). (38/78)

 

70. 張鎮南*，余瑞芳，陳婉如 (1993) 「好氧生物處理系統中ORP控制技術可行性研究」東海大學學報 ，第三十四卷，pp. 743-752。

3、patent

1. 余瑞芳、沈玉秋，朱美玲（2010）「廢水加氯消毒與除氯程序之前饋控制裝置與方法」(A feed-forward control device and method for wastewater chlorination and dechlorination)，中華民國發明專利，證書字號：發明第 I 324585 號。

2. 廖述良、王祥洲、余瑞芳，(2006)，「數位影像即時流量監測系統及方法」(Digital Image Real Time Flow Measurement System and Application Method for Thereof)，中華民國發明專利，證書字號：發明第 I 262297 號。

3. 廖述良、羅家麒、余瑞芳，「線上攝氧率即時監控方法」(On-line Monitoring and Control Method of Respiration)，中華民國發明專利，證書字號：發明第 I 265154 號。

4. 鄭文伯, 高瑜苹, 余瑞芳，(2012)，「利用濁度量測值的變異性來推估膠凝程序中膠羽顆粒體積的變化情況」(Applying the variation of turbidity measurement to estimate the change of flocs size in flocculation process)，發明專利I 387560號。

5. 余瑞芳、鄭文伯、黃鴻迪，「一種利用數位影像監測技術評估廢水沉降性之方法與裝置」(A method and device of applying on-line digital image analysis to evaluate the performance of wastewater sedimentation)，中華民國發明專利，（準備中）。

6. 周永平、余瑞芳，「遠端伺服系統」(A remote server system)，發明專利，（申請中）

＊Conferencepapers

 More than 100 conference papers were published.

Click Num:
Print

1111                                 科技部                                        IEET

Advance Search

Facebook group for student

Facebook group for alumni