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For: Wang D, Thunéll S, Lindberg U, Jiang L, Trygg J, Tysklind M, Souihi N. A machine learning framework to improve effluent quality control in wastewater treatment plants. Sci Total Environ 2021;784:147138. [PMID: 34088065 DOI: 10.1016/j.scitotenv.2021.147138] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Revised: 03/23/2021] [Accepted: 04/10/2021] [Indexed: 06/12/2023]
Number Cited by Other Article(s)
1
Pal R, Arcamo L, Farnood R. Predicting the Occurrence of Substituted and Unsubstituted, Polycyclic Aromatic Compounds in Coking Wastewater Treatment Plant Effluent using Machine Learning Regression. CHEMOSPHERE 2024;361:142476. [PMID: 38815815 DOI: 10.1016/j.chemosphere.2024.142476] [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: 01/22/2024] [Revised: 05/09/2024] [Accepted: 05/27/2024] [Indexed: 06/01/2024]
2
Wang L, Lu W, Song Y, Liu S, Fu YV. Using machine learning to identify environmental factors that collectively determine microbial community structure of activated sludge. ENVIRONMENTAL RESEARCH 2024;260:119635. [PMID: 39025351 DOI: 10.1016/j.envres.2024.119635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Revised: 07/12/2024] [Accepted: 07/15/2024] [Indexed: 07/20/2024]
3
Elsayed A, Ghaith M, Yosri A, Li Z, El-Dakhakhni W. Genetic programming expressions for effluent quality prediction: Towards AI-driven monitoring and management of wastewater treatment plants. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024;356:120510. [PMID: 38490009 DOI: 10.1016/j.jenvman.2024.120510] [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: 10/27/2023] [Revised: 02/21/2024] [Accepted: 02/26/2024] [Indexed: 03/17/2024]
4
Maurya BM, Yadav N, T A, J S, A S, V P, Iyer M, Yadav MK, Vellingiri B. Artificial intelligence and machine learning algorithms in the detection of heavy metals in water and wastewater: Methodological and ethical challenges. CHEMOSPHERE 2024;353:141474. [PMID: 38382714 DOI: 10.1016/j.chemosphere.2024.141474] [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: 11/02/2023] [Revised: 01/17/2024] [Accepted: 02/14/2024] [Indexed: 02/23/2024]
5
Rios Fuck JV, Cechinel MAP, Neves J, Campos de Andrade R, Tristão R, Spogis N, Riella HG, Soares C, Padoin N. Predicting effluent quality parameters for wastewater treatment plant: A machine learning-based methodology. CHEMOSPHERE 2024;352:141472. [PMID: 38382719 DOI: 10.1016/j.chemosphere.2024.141472] [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: 09/02/2023] [Revised: 02/05/2024] [Accepted: 02/14/2024] [Indexed: 02/23/2024]
6
Roohi AM, Nazif S, Ramazi P. Tackling data challenges in forecasting effluent characteristics of wastewater treatment plants. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024;354:120324. [PMID: 38364537 DOI: 10.1016/j.jenvman.2024.120324] [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: 11/22/2023] [Revised: 01/21/2024] [Accepted: 02/08/2024] [Indexed: 02/18/2024]
7
Xie Y, Chen Y, Wei Q, Yin H. A hybrid deep learning approach to improve real-time effluent quality prediction in wastewater treatment plant. WATER RESEARCH 2024;250:121092. [PMID: 38171177 DOI: 10.1016/j.watres.2023.121092] [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: 09/24/2023] [Revised: 12/11/2023] [Accepted: 12/28/2023] [Indexed: 01/05/2024]
8
Lv J, Du L, Lin H, Wang B, Yin W, Song Y, Chen J, Yang J, Wang A, Wang H. Enhancing effluent quality prediction in wastewater treatment plants through the integration of factor analysis and machine learning. BIORESOURCE TECHNOLOGY 2024;393:130008. [PMID: 37984668 DOI: 10.1016/j.biortech.2023.130008] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 10/30/2023] [Accepted: 11/09/2023] [Indexed: 11/22/2023]
9
Manav-Demir N, Gelgor HB, Oz E, Ilhan F, Ulucan-Altuntas K, Tiwary A, Debik E. Effluent parameters prediction of a biological nutrient removal (BNR) process using different machine learning methods: A case study. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024;351:119899. [PMID: 38159310 DOI: 10.1016/j.jenvman.2023.119899] [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: 04/15/2023] [Revised: 12/16/2023] [Accepted: 12/19/2023] [Indexed: 01/03/2024]
10
Bankole AO, Moruzzi R, Negri RG, Bressane A, Reis AG, Sharifi S, James AO, Bankole AR. Machine learning framework for modeling flocculation kinetics using non-intrusive dynamic image analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024;908:168452. [PMID: 37956843 DOI: 10.1016/j.scitotenv.2023.168452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 10/27/2023] [Accepted: 11/07/2023] [Indexed: 11/15/2023]
11
Nguyen XC, Nguyen TP, Lam VS, Le PC, Vo TDH, Hoang THT, Chung WJ, Chang SW, Nguyen DD. Estimating ammonium changes in pilot and full-scale constructed wetlands using kinetic model, linear regression, and machine learning. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024;907:168142. [PMID: 37898211 DOI: 10.1016/j.scitotenv.2023.168142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Revised: 10/16/2023] [Accepted: 10/24/2023] [Indexed: 10/30/2023]
12
Luo J, Luo Y, Cheng X, Liu X, Wang F, Fang F, Cao J, Liu W, Xu R. Prediction of biological nutrients removal in full-scale wastewater treatment plants using H2O automated machine learning and back propagation artificial neural network model: Optimization and comparison. BIORESOURCE TECHNOLOGY 2023;390:129842. [PMID: 37820968 DOI: 10.1016/j.biortech.2023.129842] [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: 07/26/2023] [Revised: 10/02/2023] [Accepted: 10/05/2023] [Indexed: 10/13/2023]
13
Zou X, Guo H, Jiang C, Nguyen DV, Chen GH, Wu D. Physics-informed neural network-based serial hybrid model capturing the hidden kinetics for sulfur-driven autotrophic denitrification process. WATER RESEARCH 2023;243:120331. [PMID: 37454462 DOI: 10.1016/j.watres.2023.120331] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 06/04/2023] [Accepted: 07/09/2023] [Indexed: 07/18/2023]
14
Dantas MS, Christofaro C, Oliveira SC. Artificial neural networks for performance prediction of full-scale wastewater treatment plants: a systematic review. WATER SCIENCE AND TECHNOLOGY : A JOURNAL OF THE INTERNATIONAL ASSOCIATION ON WATER POLLUTION RESEARCH 2023;88:1447-1470. [PMID: 37768748 PMCID: wst_2023_276 DOI: 10.2166/wst.2023.276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/29/2023]
15
Zhao W, Zhang P, Chen D, Wang H, Gu B, Zhang J. Data mining from process monitoring of typical polluting enterprise. ENVIRONMENTAL MONITORING AND ASSESSMENT 2023;195:1109. [PMID: 37644145 DOI: 10.1007/s10661-023-11733-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 08/17/2023] [Indexed: 08/31/2023]
16
Guo C, Wan D, Li Y, Zhu Q, Luo Y, Luo W, Cui Y. Quantitative prediction of the hydraulic performance of free water surface constructed wetlands by integrating numerical simulation and machine learning. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023;337:117745. [PMID: 36965370 DOI: 10.1016/j.jenvman.2023.117745] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Revised: 02/24/2023] [Accepted: 03/13/2023] [Indexed: 06/18/2023]
17
Lim SJ, Son M, Ki SJ, Suh SI, Chung J. Opportunities and challenges of machine learning in bioprocesses: Categorization from different perspectives and future direction. BIORESOURCE TECHNOLOGY 2023;370:128518. [PMID: 36565818 DOI: 10.1016/j.biortech.2022.128518] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 12/15/2022] [Accepted: 12/17/2022] [Indexed: 06/17/2023]
18
Singh NK, Yadav M, Singh V, Padhiyar H, Kumar V, Bhatia SK, Show PL. Artificial intelligence and machine learning-based monitoring and design of biological wastewater treatment systems. BIORESOURCE TECHNOLOGY 2023;369:128486. [PMID: 36528177 DOI: 10.1016/j.biortech.2022.128486] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 12/09/2022] [Accepted: 12/11/2022] [Indexed: 06/17/2023]
19
Zhu Y, Lian B, Wang Y, Miller C, Bales C, Fletcher J, Yao L, Waite TD. Machine learning modelling of a membrane capacitive deionization (MCDI) system for prediction of long-term system performance and optimization of process control parameters in remote brackish water desalination. WATER RESEARCH 2022;227:119349. [PMID: 36402097 DOI: 10.1016/j.watres.2022.119349] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Revised: 10/22/2022] [Accepted: 11/08/2022] [Indexed: 06/16/2023]
20
Xu RZ, Cao JS, Ye T, Wang SN, Luo JY, Ni BJ, Fang F. Automated machine learning-based prediction of microplastics induced impacts on methane production in anaerobic digestion. WATER RESEARCH 2022;223:118975. [PMID: 35987034 DOI: 10.1016/j.watres.2022.118975] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 08/11/2022] [Accepted: 08/12/2022] [Indexed: 06/15/2023]
21
Wei N, Men Z, Ren C, Jia Z, Zhang Y, Jin J, Chang J, Lv Z, Guo D, Yang Z, Guo J, Wu L, Peng J, Wang T, Du Z, Zhang Q, Mao H. Applying machine learning to construct braking emission model for real-world road driving. ENVIRONMENT INTERNATIONAL 2022;166:107386. [PMID: 35803077 DOI: 10.1016/j.envint.2022.107386] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 06/27/2022] [Accepted: 06/28/2022] [Indexed: 06/15/2023]
22
Disentangling the Factors That Contribute to the Growth of Betula spp. and Cunninghami lanceolata in China Based on Machine Learning Algorithms. SUSTAINABILITY 2022. [DOI: 10.3390/su14148346] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
23
Kovacs DJ, Li Z, Baetz BW, Hong Y, Donnaz S, Zhao X, Zhou P, Ding H, Dong Q. Membrane fouling prediction and uncertainty analysis using machine learning: A wastewater treatment plant case study. J Memb Sci 2022. [DOI: 10.1016/j.memsci.2022.120817] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
24
Zhu M, Wang J, Yang X, Zhang Y, Zhang L, Ren H, Wu B, Ye L. A review of the application of machine learning in water quality evaluation. ECO-ENVIRONMENT & HEALTH (ONLINE) 2022;1:107-116. [PMID: 38075524 PMCID: PMC10702893 DOI: 10.1016/j.eehl.2022.06.001] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 05/19/2022] [Accepted: 06/01/2022] [Indexed: 12/31/2023]
25
Real-Time Optimization of Wastewater Treatment Plants via Constraint Adaptation. Processes (Basel) 2022. [DOI: 10.3390/pr10050990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]  Open
26
Guo C, Cui Y. Machine learning exhibited excellent advantages in the performance simulation and prediction of free water surface constructed wetlands. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022;309:114694. [PMID: 35182978 DOI: 10.1016/j.jenvman.2022.114694] [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: 10/10/2021] [Revised: 01/19/2022] [Accepted: 02/06/2022] [Indexed: 06/14/2023]
27
Machine Learning Approach to Predict Quality Parameters for Bacterial Consortium-Treated Hospital Wastewater and Phytotoxicity Assessment on Radish, Cauliflower, Hot Pepper, Rice and Wheat Crops. WATER 2022. [DOI: 10.3390/w14010116] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
28
Wang D, Thunéll S, Lindberg U, Jiang L, Trygg J, Tysklind M. Towards better process management in wastewater treatment plants: Process analytics based on SHAP values for tree-based machine learning methods. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022;301:113941. [PMID: 34731954 DOI: 10.1016/j.jenvman.2021.113941] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 09/10/2021] [Accepted: 10/11/2021] [Indexed: 06/13/2023]
29
Ma H, Zhao Y, Yang K, Wang Y, Zhang C, Ji M. Application oriented bioaugmentation processes: Mechanism, performance improvement and scale-up. BIORESOURCE TECHNOLOGY 2022;344:126192. [PMID: 34710609 DOI: 10.1016/j.biortech.2021.126192] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 10/18/2021] [Accepted: 10/19/2021] [Indexed: 06/13/2023]
30
Pluth TB, Brose DA. Comparison of random forest and multiple linear regression to model the mass balance of biosolids from a complex biosolids management area. WATER ENVIRONMENT RESEARCH : A RESEARCH PUBLICATION OF THE WATER ENVIRONMENT FEDERATION 2022;94:e1668. [PMID: 34850485 DOI: 10.1002/wer.1668] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 11/01/2021] [Accepted: 11/21/2021] [Indexed: 06/13/2023]
31
El-Rawy M, Abd-Ellah MK, Fathi H, Ahmed AKA. Forecasting effluent and performance of wastewater treatment plant using different machine learning techniques. JOURNAL OF WATER PROCESS ENGINEERING 2021;44:102380. [DOI: 10.1016/j.jwpe.2021.102380] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
32
Hvala N, Kocijan J. Input variable selection using machine learning and global sensitivity methods for the control of sludge bulking in a wastewater treatment plant. Comput Chem Eng 2021. [DOI: 10.1016/j.compchemeng.2021.107493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
33
Wu S, Lu H, Guan H, Chen Y, Qiao D, Deng L. Optimal Bands Combination Selection for Extracting Garlic Planting Area with Multi-Temporal Sentinel-2 Imagery. SENSORS 2021;21:s21165556. [PMID: 34451006 PMCID: PMC8402312 DOI: 10.3390/s21165556] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 08/12/2021] [Accepted: 08/16/2021] [Indexed: 11/16/2022]
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