Inadequate decision support tools have led to selection of inappropriate wastewater treatment technologies.The objectives of this research were to investigate performance data for wastewater treatment technologies,dev...Inadequate decision support tools have led to selection of inappropriate wastewater treatment technologies.The objectives of this research were to investigate performance data for wastewater treatment technologies,develop a Decision Support Method(DSM)for evaluating performance of technologies,and to validate the developed method.The method was developed through evaluation of performance of wastewater treatment technologies against environmental and economic indicators.Fuzzy logic techniques in form of linguistic variables were applied in order to support decision making under uncertainty.The DSM relied on performance evaluation in order to rate effectiveness of wastewater treatment technologies.DSM was validated through a training tool in ED-WAVE,a model developed by a consortium of European and Asian countries.The reliance of the DSM on performance evaluation was an improvement on the existing decision support tools such as ED-WAVE that relied on retrieval of past performance data.As DSM integrated environmental and economic factors in evaluating wastewater treatment technologies,it was thus able to select a process that was not only environmentally sustainable but also economically affordable.展开更多
A novel microorganism embedding material was prepared to enhance the biological nitrogen removal through simultaneous nitrification and denitrification. Polyvinyl alcohol （PVA）, sodium alginate （SA） and cyclodextr...A novel microorganism embedding material was prepared to enhance the biological nitrogen removal through simultaneous nitrification and denitrification. Polyvinyl alcohol （PVA）, sodium alginate （SA） and cyclodextrin （CD） were used to compose gel bead with embedded activated sludge. The effects of temperature, CD addition and concentrations of PYA and SA on nitrogen removal were evaluated. Results show that the gel bead with CD addition at 30℃contributed to the highest nitrogen removal efficiency and nitrogen removal rate of 85.4% and 2.08 mg·（L·h）^-1, respectively. Meanwhile, negligible NO3^- and NO2^- were observed, proving the occurrence of simultaneous nitrification and denitrification. The High-Throughput Sequencing confirms that the microbial community mainly contained Comamonadaceae in the proportion of 61.3%. Overall, CD increased gel bead＇s porosity and resulted in the high specific endogenous respiration rate and high nitrogen removal efficiency, which is a favorable additional agent to the traditional embedding material.展开更多
基金The authors gratefully acknowledge support extended by Jomo Kenyatta University of Agriculture and Technology,the Ministry of Water and Irrigation,Kenya and Lappeenranta University of Technology for research funding through the CIMO-JKUAT training program.
文摘Inadequate decision support tools have led to selection of inappropriate wastewater treatment technologies.The objectives of this research were to investigate performance data for wastewater treatment technologies,develop a Decision Support Method(DSM)for evaluating performance of technologies,and to validate the developed method.The method was developed through evaluation of performance of wastewater treatment technologies against environmental and economic indicators.Fuzzy logic techniques in form of linguistic variables were applied in order to support decision making under uncertainty.The DSM relied on performance evaluation in order to rate effectiveness of wastewater treatment technologies.DSM was validated through a training tool in ED-WAVE,a model developed by a consortium of European and Asian countries.The reliance of the DSM on performance evaluation was an improvement on the existing decision support tools such as ED-WAVE that relied on retrieval of past performance data.As DSM integrated environmental and economic factors in evaluating wastewater treatment technologies,it was thus able to select a process that was not only environmentally sustainable but also economically affordable.
基金Acknowledgements This research was financially supported by Natural Science Foundation of Tianjin （Nos. 15JCYBJC53700 and 14JCYBJC- 43700）, National Undergraduate Training Programs for Innovation and Entrepreneurship （No. 201610057005）, Scientific Research Foundation for the Returned Overseas Chinese Scholars of State Education Ministry.
文摘A novel microorganism embedding material was prepared to enhance the biological nitrogen removal through simultaneous nitrification and denitrification. Polyvinyl alcohol （PVA）, sodium alginate （SA） and cyclodextrin （CD） were used to compose gel bead with embedded activated sludge. The effects of temperature, CD addition and concentrations of PYA and SA on nitrogen removal were evaluated. Results show that the gel bead with CD addition at 30℃contributed to the highest nitrogen removal efficiency and nitrogen removal rate of 85.4% and 2.08 mg·（L·h）^-1, respectively. Meanwhile, negligible NO3^- and NO2^- were observed, proving the occurrence of simultaneous nitrification and denitrification. The High-Throughput Sequencing confirms that the microbial community mainly contained Comamonadaceae in the proportion of 61.3%. Overall, CD increased gel bead＇s porosity and resulted in the high specific endogenous respiration rate and high nitrogen removal efficiency, which is a favorable additional agent to the traditional embedding material.
