1
|
Endale Y, Samuel ZA, Kebede S, Bayu AB. Blended natural and synthetic coagulants for the COD and BOD removal from surface water; optimization by response surface methodology: The case of Gibe river. Heliyon 2024; 10:e37961. [PMID: 39318808 PMCID: PMC11420472 DOI: 10.1016/j.heliyon.2024.e37961] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 08/17/2024] [Accepted: 09/13/2024] [Indexed: 09/26/2024] Open
Abstract
A novel wastewater treatment method is presented in this study. It combines natural coagulants derived from watermelon seeds with the commonly used synthetic coagulant alum. This research demonstrates a remarkable synergy between these two coagulants in removing nutrients from Gibe River wastewater. Combining natural and chemical coagulants often improves water treatment by enhancing particle destabilization, accelerating floc formation, and broadening the range of removable contaminants, resulting in lower chemical dosage requirements. The optimal mixing ratio, found to be 1 part watermelon seed coagulant to 3 parts alum, leads to improved treatment efficiency. At this ratio, the process achieves impressive removal rates: 98.26 % for total dissolved solids (TDS), 96.10 % for biochemical oxygen demand (BOD), and 95.26 % for chemical oxygen demand (COD). These findings not only validate the use of watermelon seeds as a coagulant but also highlight the combined approach's environmental and economic benefits. This integrated method offers a more sustainable and cost-effective solution for wastewater treatment.
Collapse
Affiliation(s)
- Yared Endale
- Jimma Institute of Technology, Faculty of Civil and Environmental Engineering, Jimma University, Jimma, Ethiopia
| | - Zerihun Asmelash Samuel
- Jimma Institute of Technology, Faculty of Civil and Environmental Engineering, Jimma University, Jimma, Ethiopia
| | - Seifu Kebede
- Jimma Institute of Technology, Faculty of Civil and Environmental Engineering, Jimma University, Jimma, Ethiopia
| | - Abreham Bekele Bayu
- Jimma Institute of Technology, School of Chemical Engineering, Jimma University, Jimma, Ethiopia
- Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Narutowicza 11/12, 80-233, Gdansk, Poland
| |
Collapse
|
2
|
Fayyaz Shahandashty B, Fallah N, Shamsi M, Nasernejad B, Afkhamipour M. Evaluation of enhanced chemical coagulation method for a case study on colloidal liquid particle in wastewater treatment: Statistical optimization analysis and implementation of machine learning. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 370:122345. [PMID: 39260279 DOI: 10.1016/j.jenvman.2024.122345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 06/02/2024] [Accepted: 08/30/2024] [Indexed: 09/13/2024]
Abstract
Coal mines are one of the largest sources of energy supply and generate significant volumes of wastewater. Chemical coagulation is one of the most effective methods for wastewater treatment. In this research, ferric and aluminum-based coagulants, along with polyacrylamide flocculants with positive, negative, and neutral charges, were utilized in chemical coagulation. After applying the Plackett-Burman screening method, it was found that ferric chloride coagulant, neutral flocculant, and slow mixing duration had the greatest impact. The chemical coagulation process was modeled and optimized by examining these factors using the Box-Behnken statistical design as input parameters and sedimentation velocity as the output. Under optimal conditions, the values for ferric chloride coagulant, neutral flocculant, mixing time in slow mode, and sedimentation velocity were determined to be 106.3 mg/L, 3.98 mg/L, 29.6 min, and 1.10 cm/min, respectively. Under optimal conditions, the removal percentages of pollutants, including TSS, turbidity, TDS, COD, and BOD, were obtained at 100%, 100%, 87%, 93%, and 81%, respectively. The experimental data were fitted using the BBD and ANN methods. Both models demonstrated very high agreement, but the ANN method performed better with an AAD% of 0.66, an MSE of 0.0001, and an R2 value of 0.99. All results were calculated with a confidence level above 98%, indicating that both models had very high reliability in modeling and prediction.
Collapse
Affiliation(s)
| | - Narges Fallah
- Chemical Engineering Department, Amirkabir University of Technology, Tehran, Iran.
| | - Mohammad Shamsi
- Process Engineering Department, Faculty of Chemical Engineering, Tarbiat Modares University, Tehran, Iran
| | - Bahram Nasernejad
- Chemical Engineering Department, Amirkabir University of Technology, Tehran, Iran
| | - Morteza Afkhamipour
- National Iranian Gas Company (NIGC), South Pars Gas Complex (SPGC), Asaluyeh, Iran
| |
Collapse
|
3
|
He W, Luo J, Huang J, Tang C, Yang Z. Two-stage injection of polymer and microsand during ballasted flocculation for treating kaolin waters with or without humic acid: Floc evolutional characteristics, performance and mechanisms. WATER RESEARCH 2024; 259:121846. [PMID: 38820733 DOI: 10.1016/j.watres.2024.121846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2024] [Revised: 05/26/2024] [Accepted: 05/27/2024] [Indexed: 06/02/2024]
Abstract
Ballasted flocculation is regarded as a most promising water treatment technology in aspects of retrofit and high-rate applications. To deep understand the incorporation behaviors of ballasting agent into ballasted floc growth, two distinct injection modes (namely a two-stage injection of polyacrylamide (PAM) alone, and a two-stage injection of both PAM and microsand) were developed in this study. Then, ballasted flocculation tests of kaolin and kaolin-HA (humic acid) waters were conducted at varying split ratios for fixed total dosages of both PAM and microsand. The experimental results showed that for either two-stage injection mode, the higher the second percentage of each split ratio, the greater the average size of maturated flocs at the second sub-stage of maturation. Meanwhile, the turbidity and UV254 values of settled water became lower at 30 and 180 s of sedimentation, suggesting that varying split ratios significantly affected the kinetics of ballasted floc growth. Moreover, it was suggested that the selection of either two-stage injection mode or corresponding split ratios played a more pronounced role in the HA removal than the total dosage of PAM. This suggestion was supported by SEM, FTIR and XPS analyses for surface morphological details, functional groups and chemical states of maturated flocs eventually formed in the kaolin-HA water through both two-stage injection modes. Accordingly, newly-established conceptual models of ballasted floc growth were proposed to explore the potential influencing mechanisms of varying split ratios on the ballasted flocculation performance. At each sub-stage of maturation, an appropriate dosage ratio between PAM and microsand was of great importance to effectively incorporate microsand particles into ballasted floc formation, besides the hydrolyzed produces of AS coagulant formed at the coagulation stage of ballasted flocculation. This study is expected to provide valuable insights for making ballasted flocculation more effective, economical and sustainable in water treatment engineering.
Collapse
Affiliation(s)
- Weipeng He
- Hunan Engineering Research Center of Water Security Technology and Application, College of Civil Engineering, Hunan University, Changsha 410082, PR China; Key Laboratory of Building Safety and Energy Efficiency (Ministry of Education), College of Civil Engineering, Hunan University, Changsha 410082, PR China.
| | - Jiacheng Luo
- Hunan Engineering Research Center of Water Security Technology and Application, College of Civil Engineering, Hunan University, Changsha 410082, PR China; Key Laboratory of Building Safety and Energy Efficiency (Ministry of Education), College of Civil Engineering, Hunan University, Changsha 410082, PR China
| | - Jinguo Huang
- Changsha Public Engineering Construction Center, Changsha 410023, PR China
| | - Chen Tang
- Hunan Engineering Research Center of Water Security Technology and Application, College of Civil Engineering, Hunan University, Changsha 410082, PR China; Key Laboratory of Building Safety and Energy Efficiency (Ministry of Education), College of Civil Engineering, Hunan University, Changsha 410082, PR China
| | - Zhen Yang
- Hunan Engineering Research Center of Water Security Technology and Application, College of Civil Engineering, Hunan University, Changsha 410082, PR China; Key Laboratory of Building Safety and Energy Efficiency (Ministry of Education), College of Civil Engineering, Hunan University, Changsha 410082, PR China
| |
Collapse
|
4
|
Zhang Z, Li Y, Liu Y, Li Y, Wang Z, Wang D, Yan L, Zhao J, Li BL. Optimization of Quartz Sand-Enhanced Coagulation for Sewage Treatment by Response Surface Methodology. MATERIALS (BASEL, SWITZERLAND) 2024; 17:3482. [PMID: 39063774 PMCID: PMC11278384 DOI: 10.3390/ma17143482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2024] [Revised: 07/05/2024] [Accepted: 07/11/2024] [Indexed: 07/28/2024]
Abstract
The quartz sand-enhanced coagulation (QSEC) is an improved coagulation method for treating water, which uses quartz sand as a heavy medium to accelerate the sedimentation rate of flocs and reduce the sedimentation time. The factors that influence the QSEC effect and can be controlled manually include the quartz sand dosage, coagulant dosage, sewage pH, stirring time, settling time, etc., and their reasonable setting is critical to the result of water treatment. This paper aimed to study the optimal conditions of QSEC; first, single-factor tests were conducted to explore the optimal range of influencing factors, followed by response surface methodology (RSM) tests to accurately determine the optimum values of significant factors. The results show that the addition of quartz sand did not improve the water quality of the coagulation treatment, it took only 140 s for the floc to sink to the bottom, and the sediment volume only accounted for 12.2% of the total sewage. The quartz sand dosage, the coagulant dosage, and sewage pH all had a significant impact on the coagulation effect, and resulted in inflection points. A QSEC-guiding model was derived through RSM tests, and subsequent model optimization and experimental validation revealed the optimal conditions for treating domestic sewage as follows: the polyaluminum chloride (PAC) dosage, cationic polyacrylamide (CPAM) dosage, the sewage pH, quartz sand dosage, stirring time, and settling time were 0.97 g/L, 2.25 mg/L, 7.22, 2 g/L, 5 min, and 30 min, respectively, and the turbidity of the treated sewage was reduced to 1.15 NTU.
Collapse
Affiliation(s)
- Zhengan Zhang
- Henan International Joint Laboratory of Watershed Ecological Security in the Water Source Area of the Middle Route of South-to-North Water Diversion Project, College of Water Resource and Modern Agriculture, Nanyang Normal University, Nanyang 473061, China; (Z.Z.); (Y.L.); (Y.L.); (Z.W.); (D.W.); (L.Y.); (B.L.L.)
| | - Yepu Li
- Henan International Joint Laboratory of Watershed Ecological Security in the Water Source Area of the Middle Route of South-to-North Water Diversion Project, College of Water Resource and Modern Agriculture, Nanyang Normal University, Nanyang 473061, China; (Z.Z.); (Y.L.); (Y.L.); (Z.W.); (D.W.); (L.Y.); (B.L.L.)
| | - Yongzhi Liu
- School of Environmental Engineering, Henan University of Technology, Zhengzhou 450001, China
| | - Yuying Li
- Henan International Joint Laboratory of Watershed Ecological Security in the Water Source Area of the Middle Route of South-to-North Water Diversion Project, College of Water Resource and Modern Agriculture, Nanyang Normal University, Nanyang 473061, China; (Z.Z.); (Y.L.); (Y.L.); (Z.W.); (D.W.); (L.Y.); (B.L.L.)
| | - Zonghua Wang
- Henan International Joint Laboratory of Watershed Ecological Security in the Water Source Area of the Middle Route of South-to-North Water Diversion Project, College of Water Resource and Modern Agriculture, Nanyang Normal University, Nanyang 473061, China; (Z.Z.); (Y.L.); (Y.L.); (Z.W.); (D.W.); (L.Y.); (B.L.L.)
| | - Dayang Wang
- Henan International Joint Laboratory of Watershed Ecological Security in the Water Source Area of the Middle Route of South-to-North Water Diversion Project, College of Water Resource and Modern Agriculture, Nanyang Normal University, Nanyang 473061, China; (Z.Z.); (Y.L.); (Y.L.); (Z.W.); (D.W.); (L.Y.); (B.L.L.)
| | - Lu Yan
- Henan International Joint Laboratory of Watershed Ecological Security in the Water Source Area of the Middle Route of South-to-North Water Diversion Project, College of Water Resource and Modern Agriculture, Nanyang Normal University, Nanyang 473061, China; (Z.Z.); (Y.L.); (Y.L.); (Z.W.); (D.W.); (L.Y.); (B.L.L.)
| | - Jiayin Zhao
- College of Water Resource and Modern Agriculture, Nanyang Normal University, Nanyang 473061, China;
| | - Bailian Larry Li
- Henan International Joint Laboratory of Watershed Ecological Security in the Water Source Area of the Middle Route of South-to-North Water Diversion Project, College of Water Resource and Modern Agriculture, Nanyang Normal University, Nanyang 473061, China; (Z.Z.); (Y.L.); (Y.L.); (Z.W.); (D.W.); (L.Y.); (B.L.L.)
- Department of Botany and Plant Sciences, University of California, Riverside, CA 92521, USA
| |
Collapse
|
5
|
Abubakar HL, Tijani JO, Abdulkareem AS, Egbosiuba TC, Abdullahi M, Mustapha S, Ajiboye EA. Effective removal of malachite green from local dyeing wastewater using zinc-tungstate based materials. Heliyon 2023; 9:e19167. [PMID: 37662824 PMCID: PMC10470254 DOI: 10.1016/j.heliyon.2023.e19167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 07/25/2023] [Accepted: 08/15/2023] [Indexed: 09/05/2023] Open
Abstract
The frequent use of an industrial dye such as malachite green (MG) has caused major water body deterioration and is one of the most pressing global challenges, demanding effective treatment techniques. To solve these issues, a simplistic method was developed to synthesize zinc-tungstate (ZnWO4) nanoparticles and also dope the surface matrix of the ZnWO4 nanoparticles using nonmetals of boron (B), carbon (C), and nitrogen (N) at different ratios for enhanced MG removal from wastewater. The prepared nanomaterials were characterized by different methods for crystal structure composition, surface properties, surface morphology, microstructures, functional groups, and elemental oxidation states. The BET analysis revealed a mesoporous structure with surface areas of 30.740 m2/g for ZnWO4, 38.513 m2/g for ZnWO4@BCN, 37.368 m2/g for ZnWO4@BCN/B, 39.325 m2/g for ZnWO4@BCN/C, and 45.436 m2/g for ZnWO4@BCN/N nanocomposites. The best removal of MG was accomplished at pH (8), contact period (50 min), nanoadsorbent dose (0.8 g/L), initial MG concentration (20 mg/L), and temperature (303 K). The maximum adsorption capacities of ZnWO4 and ZnWO4@BCN/N towards MG were 218.645 and 251.758 mg/g, respectively. At equilibrium, the Freundlich isotherm and pseudo-second-order kinetic models were the best fits for the experimental data of MG adsorption on both nanoadsorbents. After eight cycles of adsorption and desorption, both ZnWO4 and ZnWO4@BCN/N were found to be good at removing MG, with efficiencies of 71.00 and 74.20%, respectively. Thermodynamic investigations further validated the spontaneity and endothermic nature of the adsorption process. All study findings confirm the nanoadsorbents exceptional capability and economic feasibility for removing MG dye.
Collapse
Affiliation(s)
- Hassana Ladio Abubakar
- Department of Chemistry, Federal University of Technology, PMB. 65, Minna, Niger State, Nigeria
| | - Jimoh Oladejo Tijani
- Department of Chemistry, Federal University of Technology, PMB. 65, Minna, Niger State, Nigeria
- Nanotechnology Research Group, Africa Centre of Excellence for Mycotoxin and Food Safety, Federal University of Technology, P.M.B 65, Bosso, Minna, Niger State, Nigeria
| | - Ambali Saka Abdulkareem
- Department of Chemical Engineering, Federal University of Technology, PMB. 65, Minna, Niger State, Nigeria
- Nanotechnology Research Group, Africa Centre of Excellence for Mycotoxin and Food Safety, Federal University of Technology, P.M.B 65, Bosso, Minna, Niger State, Nigeria
| | - Titus Chinedu Egbosiuba
- Department of Chemical Engineering, Chukwuemeka Odumegwu Ojukwu University, P.M.B 02, Uli Campus, Anambra State, Nigeria
- Nanotechnology Research Group, Africa Centre of Excellence for Mycotoxin and Food Safety, Federal University of Technology, P.M.B 65, Bosso, Minna, Niger State, Nigeria
- Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX, 77843, USA
| | - Mann Abdullahi
- Department of Chemistry, Federal University of Technology, PMB. 65, Minna, Niger State, Nigeria
| | - Saheed Mustapha
- Department of Chemistry, Federal University of Technology, PMB. 65, Minna, Niger State, Nigeria
- Nanotechnology Research Group, Africa Centre of Excellence for Mycotoxin and Food Safety, Federal University of Technology, P.M.B 65, Bosso, Minna, Niger State, Nigeria
| | | |
Collapse
|
6
|
Ghasemi M, Samadi M, Soleimanian E, Chau KW. A comparative study of black-box and white-box data-driven methods to predict landfill leachate permeability. ENVIRONMENTAL MONITORING AND ASSESSMENT 2023; 195:862. [PMID: 37335361 DOI: 10.1007/s10661-023-11462-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 06/05/2023] [Indexed: 06/21/2023]
Abstract
Due to the dynamic and complexity of leachate percolation within municipal solid waste (MSW), planning and operation of solid waste management systems are challenging for decision-makers. In this regard, data-driven methods can be considered robust approaches to modeling this problem. In this paper, three black-box data-driven models, including artificial neural networks (ANN), adaptive neuro-fuzzy inference systems (ANFIS), and support vector regression (SVR), and also three white-box data-driven models, including the M5 model tree (M5MT), classification and regression trees (CART), and group method of data handling (GMDH), were developed for modeling and predicting landfill leachate permeability ([Formula: see text]). Based on a previous study conducted by Ghasemi et al. (2021), [Formula: see text] can be formulated as a function of impermeable sheets ([Formula: see text]) and copper pipes ([Formula: see text]). Hence, in the present study, [Formula: see text] and [Formula: see text] were adopted as input variables for the prediction of [Formula: see text] and evaluated for the performance of the suggested black-box and white-box data-driven models. Scatter plots and statistical indices such as coefficient of determination (R2), root mean square error (RMSE), and mean absolute error (MAE) were used for qualitative and quantitative evaluations of the effectiveness of the suggested methods. The outcomes indicated all of the provided models successfully predicted [Formula: see text]. However, ANN and GMDH had higher accuracy between the proposed black-box and white-box data-driven models. ANN with R2 = 0.939, RMSE = 0.056, and MAE = 0.017 was marginally better than GMDH with R2 = 0.857, RMSE = 0.064, and MAE = 0.026 in the testing stage. Nevertheless, an explicit mathematical expression provided by GMDH to predict k was easier and more understandable than ANN.
Collapse
Affiliation(s)
- Mahdi Ghasemi
- Department of Civil Engineering, Iran University of Science and Technology (IUST), Narmak, Tehran, Iran
| | - Mehrshad Samadi
- Department of Civil Engineering, Iran University of Science and Technology (IUST), Narmak, Tehran, Iran
| | - Elham Soleimanian
- Department of Building, Civil, and Environmental Engineering, Concordia University, Montreal, Canada
| | - Kwok-Wing Chau
- Department of Civil and Environmental Engineering, Hong Kong Polytechnic University, Kowloon, Hong Kong, China.
| |
Collapse
|
7
|
Shende AP, Chidambaram R. Cocoyam powder extracted from Colocasia antiquorum as a novel plant-based bioflocculant for industrial wastewater treatment: Flocculation performance and mechanism. Heliyon 2023; 9:e15228. [PMID: 37095926 PMCID: PMC10121460 DOI: 10.1016/j.heliyon.2023.e15228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 03/22/2023] [Accepted: 03/30/2023] [Indexed: 04/26/2023] Open
Abstract
In the current investigation, the comparative study of cocoyam bioflocculant (CYBF) and chemical flocculant for the removal of heavy metals, COD, BOD, TDS, TSS, sulphate and nitrate from tannery effluent, and dyes from synthetic dye wastewater were examined. Different analytical techniques, including Fourier transforms infrared (FTIR), X-ray powder diffraction (XRD), Scanning electron microscopy (SEM), and energy dispersive spectroscopy (EDX), were used to characterise the extracted bioflocculant. FTIR spectral measurement of the bioflocculant demonstrated the presence of hydroxyl, carboxyl, and amino groups. By using bioflocculant, the highest removal of TSS (85.5%), TDS (76.2%), BOD (74%), COD (50.5%), sulphate (54.4%), nitrate (52%), Lead (65%), Chromium (60%), Nickel (57.9%), from tannery effluent was achieved at pH 6 and bioflocculant dosage of 8 mg/L. While, 80% congo red, 79% methyl orange, 73% safranin, and 72% methylene blue were removed from synthetic dye wastewater by cocoyam bioflocculant. Two flocculation mechanisms were found for dye removal, electrostatic force of attraction, and hydrogen bonding. In the case of metal adsorption, only electrostatic interactions were observed between metal ions and functional groups of bioflocculant. The cocoyam bioflocculant exhibited excellent flocculation efficacy and thus can be used in wastewater treatment to remove heavy metals and other pollutants.
Collapse
|
8
|
Liu B, Peng D, Chiang PC, Chu C. Performance evaluation of NOx absorption by different denitration absorbents in wet flue gas denitration. J Taiwan Inst Chem Eng 2023. [DOI: 10.1016/j.jtice.2023.104840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
|
9
|
Ghasemi M, Hasani Zonoozi M, Rezania N, Saadatpour M. Predicting coagulation-flocculation process for turbidity removal from water using graphene oxide: a comparative study on ANN, SVR, ANFIS, and RSM models. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:72839-72852. [PMID: 35616836 DOI: 10.1007/s11356-022-20989-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 05/17/2022] [Indexed: 06/15/2023]
Abstract
Three artificial intelligence (AI) data-driven techniques, including artificial neural network (ANN), support vector regression (SVR), and adaptive neuro-fuzzy inference system (ANFIS), were applied for modeling and predicting turbidity removal from water using graphene oxide (GO). Based on partial mutual information (PIM) algorithm, pH, GO dosage, and initial turbidity were selected as the input variables for developing the models. The prediction performance of the AI-based models was compared with each other and with the response surface methodology (RSM) model, previously reported by the authors, as well. The models' estimation accuracy was assessed through statistical measures, including mean-squared error (MSE), root-mean-square error (RMSE), mean absolute error (MAE), and coefficient of determination (R2). Among the evaluated models, ANN had the highest estimation accuracy as it showed the highest R2 for the validation data (0.949) and the lowest MSE, RMSE, and MAE values. Furthermore, ANN predicted 76.1% of data points with relative errors (RE) less than 10%. In contrast, the weakest prediction performance belonged to the SVR model with the lowest R2 for both calibration (0.712) and validation (0.864) data. Besides, only 57.1% of the SVR's predictions were characterized by RE < 10%. The ANFIS and RSM models exhibited a more or less similar performance in terms of R2 for the validation data (0.877 and 0.871, respectively) and other statistical parameters. According to the results, the ANN technique is proposed as the best option for modeling the process. Nevertheless, as the RSM technique provides valuable information about the contribution of the independent operational parameters and their complex interaction effects using the least number of experiments, simulating the process by this technique before modeling by ANN is inevitable.
Collapse
Affiliation(s)
- Mahdi Ghasemi
- Department of Civil Engineering, Iran University of Science and Technology (IUST), Narmak, Tehran, 16846-13114, Iran
| | - Maryam Hasani Zonoozi
- Department of Civil Engineering, Iran University of Science and Technology (IUST), Narmak, Tehran, 16846-13114, Iran.
| | - Nazila Rezania
- Department of Civil Engineering, Iran University of Science and Technology (IUST), Narmak, Tehran, 16846-13114, Iran
| | - Motahareh Saadatpour
- Department of Civil Engineering, Iran University of Science and Technology (IUST), Narmak, Tehran, 16846-13114, Iran
| |
Collapse
|
10
|
Das N, Shende AP, Mandal SK, Ojha N. Biologia Futura: treatment of wastewater and water using tannin-based coagulants. Biol Futur 2022; 73:279-289. [DOI: 10.1007/s42977-022-00128-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Accepted: 07/11/2022] [Indexed: 11/30/2022]
|
11
|
Evaluation of Zn Adenine-Based Bio-MOF for Efficient Remediation of Different Types of Dyes. ADSORPT SCI TECHNOL 2022. [DOI: 10.1155/2022/6818348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
As an eco-friendly material, Zn-adeninate bio-metal-organic framework (bio-MOF) was investigated as an efficient adsorbent for both anionic and cationic dyes. The adsorption capability of the synthesized Zn-adeninate bio-MOF was confirmed by its notable surface area of 52.62 m2 g−1 and total pore volume of 0.183 cm3 g−1. The bio-MOF adsorption profiles of anionic direct red 81 (DR-81) and cationic methylene blue (MB) dyes were investigated under different operating parameters. The optimum dosages of Zn-adeninate bio-MOF were 0.5 g L−1 and 1 g L−1 for MB and DR-81 decolorization, respectively. The pHPZC of Zn-adeninate bio-MOF was 7.2, and maximum monolayer adsorption capacity was 132.15 mg g–1 for MB, which decreased to 82.54 mg g–1 for DR-81 dye. Thermodynamic data indicated the spontaneous and endothermic nature of the decolorization processes. Additionally, the adsorption processes were in agreement with the Langmuir and pseudo-second-order kinetic models. The synthesized Zn-adeninate bio-MOF could be reused several times with high decolorization ability. These findings demonstrated that the synthesized Zn bio-MOF is an effective and promising adsorbent material for the removal of both cationic and anionic dyes from polluted water.
Collapse
|
12
|
Anadebe V, Nnaji P, Onukwuli O, Okafor N, Abeng F, Chukwuike V, Okoye C, Udoh I, Chidiebere M, Guo L, Barik R. Multidimensional insight into the corrosion inhibition of salbutamol drug molecule on mild steel in oilfield acidizing fluid: Experimental and computer aided modeling approach. J Mol Liq 2022. [DOI: 10.1016/j.molliq.2022.118482] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
|
13
|
Potential of Luffa cylindrica seed as coagulation-flocculation (CF) agent for the treatment of dye wastewater: Kinetic, mass transfer, optimization and CF adsorption studies. ARAB J CHEM 2022. [DOI: 10.1016/j.arabjc.2021.103629] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
|
14
|
Multifactor optimization for treatment of textile wastewater using complex salt–Luffa cylindrica seed extract (CS-LCSE) as coagulant: response surface methodology (RSM) and artificial intelligence algorithm (ANN–ANFIS). CHEMICAL PAPERS 2022. [DOI: 10.1007/s11696-021-01971-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
|
15
|
Feng X, Liu Y, Li X, Liu H. RSM, ANN-GA and ANN-PSO modeling of SDBS removal from greywater in rural areas via Fe2O3-coated volcanic rocks. RSC Adv 2022; 12:6265-6278. [PMID: 35424572 PMCID: PMC8982087 DOI: 10.1039/d1ra09147f] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Accepted: 02/15/2022] [Indexed: 01/21/2023] Open
Abstract
Decontamination and reuse of greywater in rural areas has attracted increasing attention. Typical contaminants in grey water are SDBS, which has a stubborn molecular structure. In this study, Fe2O3-coated volcanic rocks (Fe2O3-VR) prepared from FeCl3 solution by a heating evaporation method can reach 95% removal of SDBS, which is 80% higher than before. The effect of contact time, pH, initial concentration, FeCl3 solution concentration, adsorbent dosage and calcination temperature on the removal rate was researched and modeled by response methodology (RSM) and artificial neural network (ANN). Based on the univariate test, the Box-Behnken design method was used to establish the data sample, which represented a quadratic polynomial model with p-value <0.001, R2 = 0.9872, while the ANN model has the better performance with R2 = 0.9961. The weights of the BP-ANN model were further analyzed using the Garson equation, and the results showed that the validity ranking of the variables was as follows: contact time (37.31%) > calcination temperature (29.43%) > dosage (24.44%) > initial concentration (17.18%) > FeCl3 solution concentration (17.18%) > pH (11.56%). Genetic algorithm (GA) and particle swarm optimization (PSO) were selected to optimize the process parameters. The results showed that ANN-PSO methodology presented a satisfactory alternative and the predicted removal efficiency was 99.9982% with relative error = 0.2230. The optimum level of contact time, pH, initial SDBS concentration, FeCl3 solution concentration, adsorbent dosage and calcination temperature is 136.45 min, 5.64, 22.4 mg L−1, 0.3 mol L−1, 83.21 g L−1, 274.02 °C, respectively. Moreover, Fe2O3-VR was characterized via instrumental analyses (SEM-EDS, FTIR, XRD, BET). This paper provides a new method for SDBS removal and parameter optimization of the adsorption process using RSM and ANN models.![]()
Collapse
Affiliation(s)
- Xiaoying Feng
- College of Civil Engineering and Architecture, Beijing University of Technology, Beijing 100124, P. R China
| | - Yuankun Liu
- College of Civil Engineering and Architecture, Beijing University of Technology, Beijing 100124, P. R China
| | - Xing Li
- College of Civil Engineering and Architecture, Beijing University of Technology, Beijing 100124, P. R China
| | - Hongrun Liu
- College of Civil Engineering and Architecture, Beijing University of Technology, Beijing 100124, P. R China
| |
Collapse
|
16
|
Malool ME, KeshavarzMoraveji M, Shayegan J. Hydrothermal carbonization of digested sewage sludge coupled with Alkali activation: Integrated approach for sludge handling, optimized production, characterization and Pb(II) adsorption. J Taiwan Inst Chem Eng 2022. [DOI: 10.1016/j.jtice.2022.104203] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
|