Water quality management using hybrid machine learning and data mining algorithms: An indexing approach

Article


Aslam, Bilal, Maqsoom, Ahsen, Cheema, Ali Hassan, Ullah, Fahim, Alharbi, Abdullah and Imran, Muhammad. 2022. "Water quality management using hybrid machine learning and data mining algorithms: An indexing approach." IEEE Access. 10, pp. 119692 - 119705. https://doi.org/10.1109/ACCESS.2022.3221430
Article Title

Water quality management using hybrid machine learning and data mining algorithms: An indexing approach

ERA Journal ID210567
Article CategoryArticle
AuthorsAslam, Bilal (Author), Maqsoom, Ahsen (Author), Cheema, Ali Hassan (Author), Ullah, Fahim (Author), Alharbi, Abdullah (Author) and Imran, Muhammad (Author)
Journal TitleIEEE Access
Journal Citation10, pp. 119692 - 119705
Number of Pages14
Year2022
PublisherIEEE (Institute of Electrical and Electronics Engineers)
Place of PublicationUnited States
ISSN2169-3536
Digital Object Identifier (DOI)https://doi.org/10.1109/ACCESS.2022.3221430
Web Address (URL)https://ieeexplore.ieee.org/document/9945948
Abstract

One of the key functions of global water resource management authorities is river water quality (WQ) assessment. A water quality index (WQI) is developed for water assessments considering numerous quality-related variables. WQI assessments typically take a long time and are prone to errors during sub-indices generation. This can be tackled through the latest machine learning (ML) techniques that are renowned for superior accuracy. In this study, water samples were taken from the wells in the study area (North Pakistan) to develop WQI prediction models. Four standalone algorithms, i.e., random trees (RT), random forest (RF), M5P, and reduced error pruning tree (REPT), were used in this study. In addition, 12 hybrid data-mining algorithms (combination of standalone, bagging (BA), cross-validation parameter selection (CVPS), and randomizable filtered classification (RFC)) were also used. Using the 10-fold cross-validation technique, the data were separated into two groups (70:30) for algorithm creation. Ten random input permutations were created using Pearson correlation coefficients to identify the best possible combination of datasets for improving the algorithm prediction. The variables with very low correlations performed poorly, whereas hybrid algorithms increased the prediction capability of numerous standalone algorithms. Hybrid RT-Artificial Neural Network (RT-ANN) with RMSE = 2.319, MAE = 2.248, NSE = 0.945 and PBIAS = -0.64, outperformed all other algorithms. Most algorithms overestimated WQI values except for BA-RF, RF, BA-REPT, REPT, RFC-M5P, RFC-REPT, and ANN- Adaptive Network-Based Fuzzy Inference System (ANFIS).

KeywordsPrediction algorithms; Water pollution; Classification algorithms; Water quality; Rivers; Random forests; Machine learning algorithms; Indexes; Machine learning; Data mining
ANZSRC Field of Research 2020339999. Other built environment and design not elsewhere classified
400513. Water resources engineering
410504. Surface water quality processes and contaminated sediment assessment
461199. Machine learning not elsewhere classified
330201. Automation and technology in building and construction
400411. Water treatment processes
401302. Geospatial information systems and geospatial data modelling
Byline AffiliationsNorthern Arizona University, United States
COMSATS University Islamabad, Pakistan
School of Surveying and Built Environment
King Saud University, Saudi Arabia
Federation University
Institution of OriginUniversity of Southern Queensland
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Ali, Qadeer, Thaheem, Muhammad Jamaluddin, Ullah, Fahim and Sepasgozar, Samad M. E.. 2020. "The performance gap in energy-efficient office buildings: how the occupants can help?" Energies. 13 (6). https://doi.org/10.3390/en13061480
Key factors influencing purchase or rent decisions in smart real estate investments: a system dynamics approach using online forum thread data
Ullah, Fahim and Sepasgozar, Samad M. E.. 2020. "Key factors influencing purchase or rent decisions in smart real estate investments: a system dynamics approach using online forum thread data." Sustainability. 12 (11), pp. 1-36. https://doi.org/10.3390/su12114382
Smart digital marketing capabilities for sustainable property development: a case of Malaysia
Low, Sheen, Ullah, Fahim, Shiwrozhan, Sara, Sepasgozar, Samad M. E. and Lee, Chyi Lin. 2020. "Smart digital marketing capabilities for sustainable property development: a case of Malaysia." Sustainability. 12 (13), pp. 1-40. https://doi.org/10.3390/su12135402
Contingency release during project execution: the contractor’s decision-making dilemma
Ayub, Bilal, Thaheem, Muhammad Jamaluddin and Ullah, Fahim. 2019. "Contingency release during project execution: the contractor’s decision-making dilemma." Project Management Journal. 50 (6), pp. 734-748. https://doi.org/10.1177/8756972819848250
Six Sigma in construction: a review of critical success factors
Qayyum Siddiqui, Siddra, Ullah, Fahim, Thaheem, Muhammad Jamaluddin and Gabriel, Hamza Farooq. 2016. "Six Sigma in construction: a review of critical success factors." International Journal of Lean Six Sigma. 7 (2), pp. 171-186. https://doi.org/10.1108/ijlss-11-2015-0045
Labor Productivity Assessment Using Activity Analysis on Semi High-Rise Building Projects in Pakistan
Sheikh, Noaman Akbar, Ullah, Fahim, Ayub, Bilal and Thaheem, Muhammad Jamaluddin. 2017. "Labor Productivity Assessment Using Activity Analysis on Semi High-Rise Building Projects in Pakistan." Engineering Journal. 21 (4), pp. 273-286. https://doi.org/10.4186/ej.2017.21.4.273
Influence of Six Sigma on project success in construction industry of Pakistan
Ullah, Fahim, Thaheem, Muhammad Jamaluddin, Qayyum Siddiqui, Siddra and Khurshid, Muhammad Bilal. 2017. "Influence of Six Sigma on project success in construction industry of Pakistan." The TQM Journal. 29 (2), pp. 276-309. https://doi.org/10.1108/TQM-11-2015-0136
Examining the impact of students’ attendance, sketching, visualization, and tutors experience on students’ performance: a case of building structures course in construction management
Ullah, Fahim, Sepasgozar, Samad, Tahmasebinia, Faham, Sepasgozar, Saleh Mohammad Ebrahimzadeh and Davis, Steven. 2020. "Examining the impact of students’ attendance, sketching, visualization, and tutors experience on students’ performance: a case of building structures course in construction management." Construction Economics and Building. 20 (3), pp. 78-102. https://doi.org/10.5130/AJCEB.v20i3.7056
Competitiveness in the construction industry: A contractor’s perspective on barriers to improving the construction industry performance
Azeem, Moazzam, Ullah, Fahim, Thaheem, Muhammad J. and Qayyum, Siddra. 2020. "Competitiveness in the construction industry: A contractor’s perspective on barriers to improving the construction industry performance." Journal of Construction Engineering, Management & Innovation. 3 (3), pp. 193-219. https://doi.org/10.31462/jcemi.2020.03193219
Empirical evidence of extension of time in construction projects
Shabbar, Haroon, Ullah, Fahim, Ayub, Bilal, Thaheem, Muhammad Jamaluddin and Gabriel, Hamza Farooq. 2017. "Empirical evidence of extension of time in construction projects." Journal of Legal Affairs and Dispute Resolution in Engineering and Construction. 9 (3). https://doi.org/10.1061/(ASCE)LA.1943-4170.0000217
It's all about perceptions: A DEMATEL approach to exploring user perceptions of real estate online platforms
Ullah, Fahim, Sepasgozar, Samad M. E., Thaheem, Muhammad Jamaluddin, Wang, Changxin Cynthia and Imran, Muhammad. 2021. "It's all about perceptions: A DEMATEL approach to exploring user perceptions of real estate online platforms." Ain Shams Engineering Journal. 12 (4), pp. 4297-4317. https://doi.org/10.1016/j.asej.2021.04.023
Addressing disasters in smart cities through UAVs path planning and 5G communications: A systematic review
Qadir, Zakria, Ullah, Fahim, Munawar, Hafiz Suliman and Al-Turjman, Fadi. 2021. "Addressing disasters in smart cities through UAVs path planning and 5G communications: A systematic review." Computer Communications. 168, pp. 114-135. https://doi.org/10.1016/j.comcom.2021.01.003
Managing smart cities through six sigma DMADICV method: A review-based conceptual framework
Qayyum, Siddra, Ullah, Fahim, Al-Turjman, Fadi and Mojtahedi, Mohammad. 2021. "Managing smart cities through six sigma DMADICV method: A review-based conceptual framework." Sustainable Cities and Society. 72, pp. 1-19. https://doi.org/10.1016/j.scs.2021.103022
A review of public-private partnership: critical factors of concession period
Ullah, Fahim, Ayub, Bilal, Qayyum, Siddra and Thaheem, Muhammad Jamaluddin. 2016. "A review of public-private partnership: critical factors of concession period." Journal of Financial Management of Property and Construction. 21 (3), pp. 269-300. https://doi.org/10.1108/JFMPC-02-2016-0011