Preparation of Solutions of Papermaking Wet End Chemicals Using Process Water

2011 ◽  
Vol 236-238 ◽  
pp. 1203-1207
Author(s):  
Li Hong Zhao ◽  
Jian Rong Hu ◽  
Bei Hai He

In this work, the possibility of diluting chemicals using white water in paper making process instead of fresh water was discussed. The circulation water was found to be harmless to the fines and filler retention when retention aids chemicals were prepared with fresh water. The retention performance of the dual retention aids system consisting of CPAM and bentonite was determined when dissolved using white water. It was found that the dissolution of CPAM with white water from disc saveall did not have an influence on the efficiency of retention aids system, while the flocculation function of bentonite was significantly affected by the quality of white water. Moreover, the result indicated that it was feasible for fixing agent PEI to be dissolved with white water in this experiment.

2013 ◽  
Vol 777 ◽  
pp. 309-313
Author(s):  
Zong Zheng Yang ◽  
Zhi Meng Yang ◽  
Jin Guo Cao ◽  
Yuan Yuan Jia ◽  
Jun Xia Xu

Papermaking wastewater mainly consists of black liquor, intermediate wastewater and white water. It suffers from its heavy amount, high level suspended solids and poor biodegradable property. In this paper, a combination of fixed bed and moving bed biofilm reactor was conducted to treat paper making wastewater in order to make full use of the advantages of both fixed bed and moving bed. As a result, the average values of COD, NH3-N and SS in effluent are 57.01 mg/L, 1.74 mg/L and 38 mg/L, respectively. The quality of the effluent could meet the demands of the Chinese standards for papermaking industrial water discharge pollutant.


2012 ◽  
Vol 549 ◽  
pp. 605-609 ◽  
Author(s):  
Li Hong Zhao ◽  
Xia Lin Liao ◽  
Bei Hai He ◽  
Yuan Jun Yao ◽  
Feng Lan Wang

In this work, the effects of four kinds of additives including polyethyleneimine, carboxymethylcellulose, guar gum, and chitosan on the retention performance of reconstituted tobacco pulp and strength character of final base sheet were discussed. The results showed that the filler retention efficiency and first pass retention efficiency increased by 17.7% and by 5.8% at chitosan dosage of 0.2%, respectively. Moreover, the tensile index showed a distinct increase in chitosan retention system. The largest strength index was found to be in carboxymethylcellulose retention system, the tensile index was increased from 6.5 N•m/g to 8.67 N•m/g, and the wet tensile index was increased from 0.37 N•m/g to 0.51 N•m/g.


Author(s):  
Alide M. W. Cova ◽  
Fabio T. O. de Freitas ◽  
Paula C. Viana ◽  
Maria R. S. Rafael ◽  
André D. de Azevedo Neto ◽  
...  

ABSTRACT The objective of this study was to evaluate the growth and accumulation of ions in lettuce grown in different hydroponic systems and recirculation frequencies. The experimental design was randomized blocks with 8 treatments and 4 replicates. The evaluated hydroponic systems were Nutrient Flow Technique (NFT) and an adapted Deep Flow Technique (DFT), the latter with recirculation frequencies of 0.25, 2 and 4 h. Both systems used fresh water and brackish water. Plant growth, accumulation of inorganic solutes (Na+, K+, Cl- and NO3-) and the correlation between dry matter production and Na+/K+ and Cl-/NO3- were evaluated. The salinity of the water used to prepare the nutrient solution caused decrease in growth and K+ and NO3- levels, and increased contents of Na+ and Cl- in the plants. When using fresh water the highest dry matter production was obtained in the NFT system. In case of brackish water the adapted DFT system increased the production, in relation to NFT system (at same recirculation frequency: 0.25 h). It was found that the choice of the type of hydroponic system and recirculation interval for the cultivation of lettuce depends on the quality of the water used to prepare the nutrient solution.


2021 ◽  
Vol 256 ◽  
pp. 117797 ◽  
Author(s):  
Ana Flávia Souza Foureaux ◽  
Victor Rezende Moreira ◽  
Yuri Abner Rocha Lebron ◽  
Lucilaine Valéria de Souza Santos ◽  
Míriam Cristina Santos Amaral

2014 ◽  
Vol 687-691 ◽  
pp. 4725-4729
Author(s):  
Min Jiang ◽  
Ying Jiang

this paper uses a new genetic algorithm (New Genetic Algorithm, NGA) to implement the automatic group volume function, solving the problem that the paper is not fully considered scores distribution of knowledge points in the test paper (test dimension) in the system using traditional genetic algorithm (Genetic Algorithm, GA) to implement automatic group volume, putting forward and redefining the fitness function to speed up the convergence. Simulation experiments show that the NGA algorithm is not only efficient, but can generate a valid paper, making the paper score can on the multi-dimensional of the test as far as possible to achieve uniform distribution.


2019 ◽  
Vol 19 (7) ◽  
pp. 2156-2162
Author(s):  
Kartic Bera ◽  
Pabitra Banik

Abstract The increasing demands on fresh water resources by our burgeoning population and diminishing quality of existing water resources because of pollution and the additional requirements of serving our spiraling industrial and agricultural growth have led to a situation where the consumption of water is rapidly increasing and the supply of fresh water remains more or less constant. In the context of quality, potable water is always meager for the present and future. The study is an innovative attempt towards the development of the watershed on the earth science platform. Thereafter the balancing of water resources for domestic and agricultural uses is also tried. The focus is mainly on surface water for present use and groundwater for future. This management plan especially includes socially and economically backward demographic conditions. The present study is an integrated approach for a micro-watershed development plan of the Kansachara sub-watershed.


Author(s):  
Sira M. Allende ◽  
Daniel C. Chen ◽  
Carlos N. Bouza ◽  
Agustin Santiago ◽  
Jose Maclovio Sautto

Derivatives play an important role in social and economic studies. They describe the behavior of conditional expectations. Once a phenomena is characterized by parametric specifications, the conditional expectation m(x) may be modeled by a regression function. Then, derivatives may be computed by fitting the regression function. In applications, parametric estimators are commonly used, because of the un-knowledge of other more effective methods. The validity of a regression fitting approach depends on the knowledge of certain aspects related with the true functional form. In this paper, we develop a study on the usage of soft computing methods for providing an alternative to the use of non-parametric regression. We develop our modeling including neural networks and rough sets approaches. The studied problem is the eutrophication due to the growth of the population of algae. Real life data is provided by a study on a fresh water basin. They are used for developing a comparison of different approaches. A methodology is recommended for implementing a monitoring system of the water quality.


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