Remediation of NAPL-Contaminated Brackish Water by Synthesized Organoclay: Experimental Analysis and BNN Predictive Model

被引:1
作者
Nasrollahpour, Sepideh [1 ]
Kebria, Daryoush Yousefi [2 ]
Nehdi, Moncef L. [3 ]
Tanhadoust, Amin [4 ]
Ghavami, Mohammad [5 ]
机构
[1] York Univ, Lassonde Sch Engn, Dept Civil Engn, Toronto, ON M3J 2S5, Canada
[2] Babol Noshirvani Univ Technol, Dept Civil & Environm Engn, Babol 4714873113, Iran
[3] McMaster Univ, Dept Civil Engn, Hamilton, ON L8S 4L8, Canada
[4] Isfahan Univ Technol IUT, Dept Civil Engn, Esfahan 8415683111, Iran
[5] Univ Louisville, Dept Civil Engn, Louisville, KY USA
关键词
Adsorption; Benzene; toluene; ethylbenzene; and xylene (BTEX); Phenol; Cetyltrimethylammonium bromide (CTAB); Organoclay; Bayesian neural network (BNN); Uncertainty; ARTIFICIAL NEURAL-NETWORK; PHENOLIC-COMPOUNDS; AQUEOUS-SOLUTION; ADSORPTION; REMOVAL; BENTONITE; BTEX; ADSORBENT; BEHAVIOR; DYES;
D O I
10.1061/JHTRBP.HZENG-1212
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study aimed at synthesizing organoclay to remove benzene, toluene, ethylbenzene, and xylene (BTEX) and phenol as nonaqueous phase liquid (NAPL) from brackish water. The cetyltrimethylammonium bromide (CTAB) was used to synthesize organoclay owing to its high hydrophobicity and capability to adsorb aromatic and phenolic compounds with varying cation exchange capacities (CECs). The effects of contact time, concentration of BTEX and phenol as dense nonaqueous phase liquids (DNAPL) and light nonaqueous phase liquids (LNAPL), and organoclay CECs on the removal of contaminants were studied. The adsorption capacity of the synthesized organoclay was determined. Scanning electron microscopy (SEM) and Fourier-transform infrared spectroscopy (FTIR) tests were conducted to investigate the characteristics of the synthesized organoclay. A Bayesian neural network (BNN) was developed to predict the experimental adsorption capacity accounting for uncertainties. The structure and postadsorption changes in the organoclay bonds were probed via FTIR tests. The results indicate that BTEX and phenol removal efficiencies were 95.6% and 68%-84%, respectively. The measured adsorption capacity for benzene, toluene, ethylbenzene, and xylene were 4.7, 6.2, 9.2, and 7.8 g/g, respectively, relative to the initial weight of the sorbent. The developed BNN model can accurately predict the adsorption capacity of organoclay. A sensitivity analysis was performed based on optimized BNN model to examine the influence of each parameter on the adsorption capacity, which confirmed laboratory results and revealed that the optimal values of CECs are approximately 150%-200%. Given the high removal capacity and ease of synthesis, it was concluded that the synthesized organoclay could be an efficient and competitive alternative to existing removal systems.
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页数:17
相关论文
共 69 条
[1]   ANN Modelling of the Adsorption of Herbicides and Pesticides Based on Sorbate-Sorbent Interphase [J].
Adeniyi, Adewale George ;
Igwegbe, Chinenye Adaobi ;
Ighalo, Joshua O. .
CHEMISTRY AFRICA-A JOURNAL OF THE TUNISIAN CHEMICAL SOCIETY, 2021, 4 (02) :443-449
[2]   Machine learning approach for prediction of paracetamol adsorption efficiency on chemically modified orange peel [J].
Afolabi, Inioluwa Christianah ;
Popoola, Segun Isaiah ;
Bello, Olugbenga Solomon .
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2020, 243
[3]   Adsorption mechanisms of removing heavy metals and dyes from aqueous solution using date pits solid adsorbent [J].
Al-Ghouti, Mohammad A. ;
Li, Juiki ;
Salamh, Yousef ;
Al-Laqtah, Nasir ;
Walker, Gavin ;
Ahmad, Mohammad N. M. .
JOURNAL OF HAZARDOUS MATERIALS, 2010, 176 (1-3) :510-520
[4]   Adsorption and Desorption Equilibria of Nitrogen, Methane, Ethane, and Ethylene on Date-Pit Activated Carbon [J].
Al-Muhtaseb, Shaheen A. .
JOURNAL OF CHEMICAL AND ENGINEERING DATA, 2010, 55 (01) :313-319
[5]   Artificial intelligence, regression model, and cost estimation for removal of chlorothalonil pesticide by activated carbon prepared from casuarina charcoal [J].
Alalm, Mohamed Gar ;
Nasr, Mahmoud .
SUSTAINABLE ENVIRONMENT RESEARCH, 2018, 28 (03) :101-110
[6]   Applications of artificial intelligence in water treatment for optimization and automation of adsorption processes: Recent advances and prospects [J].
Alam, Gulzar ;
Ihsanullah, Ihsanullah ;
Naushad, Mu. ;
Sillanpaa, Mika .
CHEMICAL ENGINEERING JOURNAL, 2022, 427
[7]  
[Anonymous], Standard test method for tensile properties of polymer matrix composite materials
[8]  
[Anonymous], 2014, Standard Test Methods for Chemical Analysis of Stainless, Heat-Resisting, Maraging, and Other Similar Chromium-Nickel-Iron Alloys
[9]   Hybrid adaptive neuro-fuzzy inference systems for forecasting benzene, toluene & m-xylene removal from aqueous solutions by HZSM-5 nano-zeolite synthesized from coal fly ash [J].
Asl, Seyed Mostafa Hossini ;
Masomi, Mojtaba ;
Tajbakhsh, Mahmood .
JOURNAL OF CLEANER PRODUCTION, 2020, 258
[10]  
ASTM, 2022, D4546 ASTM