Screening and evaluation system for desalination pretreatment process
ZHAO Ning1, ZHU Hao2, ZHU Rong-jie1, LIU Jie2, WANG Da-wei3, LIANG Heng1, GUO Tie-cheng1, ZHENG Tong1, WANG Peng1
1. School of Environment, Harbin Institute of Technology, Harbin 150090, China; 2. School of Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, China; 3. Rural Energy & Environmental Protection Institute, Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China
Abstract：In this study, a desalination pretreatment process library was built, and a screening and evaluation index system for pretreatment process was established based on the characteristics of desalination pretreatment process. Then, the entropy weight method and technique for order preference by similarity to an ideal solution method (TOPSIS) were used to constructa desalination pretreatment process screening and evaluation model based on themulti-criteria decision making theory. Meanwhile, a program design was implemented for suitable pretreatment process selection. Finally, the developed screening and evaluation modelisapplied to a case study to verify the feasibility of the method, and the results show that the developed screening and evaluationframework can effectively assistthe screening and evaluation of desalination pretreatment process to providea scientific decision-making.
Ip WC, Hu B Q, Wong H, et al. Applications of grey relational method toriver environment quality evaluation in China[J]. Journal of Hydrology, 2009,379(3):284-290.
[2]
Lin SJ, Lu I J, Lewis C. Grey relation performance correlations among economics, energy use and carbon dioxide emission in Taiwan[J]. Energy Policy, 2007,35(3):1948-1955.
[3]
Nian Q F, Shi S L, Li R Q. Research and application of safety assessment method of gas explosion accident in coal mine based on GRA-ANP-FCE[J]. Procedia Engineering, 2012,45(2):106-111.
[4]
Kuo Y, Yang T, Huang G W. The use of grey relational analysis in solving multiple attribute decision-making problems[J]. Computers & Industrial Engineering, 2018,55(1):80-93.
[5]
Liu J.Study on emergency material selection reserve and allocation schema for river chemical spills[D]. Harbin:Harbin Institute of Technology, 2017.
[6]
Rao P V, Baral S S. Attribute based specification, comparison and selectionof feed stock for anaerobic digestion using MADM approach[J]. Journal of Hazardous Materials, 2011,186(2/3):2009-2016.
[7]
Wang X, Hao F H, Zhang X.Optimization of best management practices for non-point source pollution in Danjiangkou Reservoir Basin[J]. China Environmental Science, 2013,33(7):1335-1343.
[8]
Liu R T, Guo L, Jiang J P, et al.A CBR-MADM based two-step screening model of emergency disposal technology for chemical spills[J]. China Environmental Science, 2015,35(3):943-952.
[9]
Zhang Y Q, Wang X, Meng F R, et al.Comprehensive evaluation of VOCs processing technology based on entropy weight method and analytic hierarchy process[J]. China Environmental Science, 2021, 41(6):2946-2955.
[10]
He Hai-Yang, Qiu Wei, Liu Yu-Lei, et al. Effect of ferrate pre-oxidation on algae-laden water ultrafiltration:Attenuating membrane fouling and decreasing formation potential of disinfection byproducts[J]. Water Research, 2021,190.
[11]
Mika Sillanpää, Mohamed ChakerNcibi, Anu Matilainen, et al. Removal of natural organic matter in drinking water treatment by coagulation:A comprehensive review[J]. Chemosphere, 2018,190.
[12]
Fan F F. The influence of floc morphology character of micro-flocculation stage on filtration efficiency[D]. Harbin:Harbin Institute of Technology, 2012.
[13]
Shi S G, Cao J C, Feng L, et al. Construction of a technique planrepository and evaluation system based on AHPgroup decision-making for emergency treatment and disposal in chemical pollution accidents[J]. Journal of Hazardous Materials, 2014,276:200-206.
[14]
Ba Y E, Guo J S, Lu S Y, et al. Assessing ecological health of open water region from Bostenhu Lake during last 20years[J]. China Environmental Science, 2013,33(3):503-507.
[15]
Renato A. Krohling, Vinicius C. Campanharo. Fuzzy TOPSIS for group decision making:A case study for accidents with oil spill in the sea[J]. Expert Systems With Applications, 2010,38(4).
[16]
GB5749-2006 Standards for drinking water quality[S].
