Prediction of Wastewater Treatment Plant Performance Using Multivariate Statistical Analysis: A Case Study of a Regional Sewage Treatment Plant in Melaka, Malaysia

Sofiah Rahmat; Wahid Ali Hamood Altowayti; Norzila Othman; Syazwani Mohd Asharuddin; Faisal Saeed; Shadi Basurra; Taiseer Abdalla Elfadil Eisa; Shafinaz Shahir

doi:10.3390/w14203297

Prediction of Wastewater Treatment Plant Performance Using Multivariate Statistical Analysis: A Case Study of a Regional Sewage Treatment Plant in Melaka, Malaysia

Sofiah Rahmat, Wahid Ali Hamood Altowayti, Norzila Othman^*, Syazwani Mohd Asharuddin, Faisal Saeed, Shadi Basurra, Taiseer Abdalla Elfadil Eisa, Shafinaz Shahir

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

16 Citations (SciVal)

Original language	English
Article number	3297
Journal	Water (Switzerland)
Volume	14
Issue number	20
DOIs	https://doi.org/10.3390/w14203297
Publication status	Published (VoR) - Oct 2022

Funding

The authors fully acknowledged the Deanship of Scientific Research at King Khalid University for funding this work through Large Groups (Project under grant number (RGP.2/49/43)). The authors extend their appreciation to the Ministry of Higher Education (MOHE) through Prototype Research Grant Scheme (PRGS/2/2020/WAB02/UTHM/02/1). This study was supported financially by the Ministry of Health Malaysia, and data were provided by Indah Water Konsortium Sdn Bhd, Melaka, Malaysia. Wahid Ali Hamood Altowayti extends his gratitude to Universiti Teknologi Malaysia (UTM) for financial sponsorship and the Post-Doctoral Fellowship Scheme under the Professional Development Research University Grant (06E27). Deanship of Scientific Research at King Khalid University through Large Groups (Project under grant number (RGP.2/49/43)). Ministry of Higher Education (MOHE) through Prototype Research Grant Scheme (PRGS/2/2020/WAB02/UTHM/02/1). Universiti Teknologi Malaysia (UTM) for financial sponsorship and the Post-Doctoral Fellowship Scheme under the Professional Development Research University Grant (06E27).

Keywords

MLR
PCA
wastewater
WWQI
WWTP

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10.3390/w14203297

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title = "Prediction of Wastewater Treatment Plant Performance Using Multivariate Statistical Analysis: A Case Study of a Regional Sewage Treatment Plant in Melaka, Malaysia",

keywords = "MLR, PCA, wastewater, WWQI, WWTP",

author = "Sofiah Rahmat and Altowayti, \{Wahid Ali Hamood\} and Norzila Othman and Asharuddin, \{Syazwani Mohd\} and Faisal Saeed and Shadi Basurra and Eisa, \{Taiseer Abdalla Elfadil\} and Shafinaz Shahir",

note = "Funding Information: The authors fully acknowledged the Deanship of Scientific Research at King Khalid University for funding this work through Large Groups (Project under grant number (RGP.2/49/43)). The authors extend their appreciation to the Ministry of Higher Education (MOHE) through Prototype Research Grant Scheme (PRGS/2/2020/WAB02/UTHM/02/1). This study was supported financially by the Ministry of Health Malaysia, and data were provided by Indah Water Konsortium Sdn Bhd, Melaka, Malaysia. Wahid Ali Hamood Altowayti extends his gratitude to Universiti Teknologi Malaysia (UTM) for financial sponsorship and the Post-Doctoral Fellowship Scheme under the Professional Development Research University Grant (06E27). Funding Information: Deanship of Scientific Research at King Khalid University through Large Groups (Project under grant number (RGP.2/49/43)). Ministry of Higher Education (MOHE) through Prototype Research Grant Scheme (PRGS/2/2020/WAB02/UTHM/02/1). Universiti Teknologi Malaysia (UTM) for financial sponsorship and the Post-Doctoral Fellowship Scheme under the Professional Development Research University Grant (06E27). Publisher Copyright: {\textcopyright} 2022 by the authors.",

year = "2022",

month = oct,

doi = "10.3390/w14203297",

language = "English",

volume = "14",

journal = "Water (Switzerland)",

issn = "2073-4441",

publisher = "MDPI",

number = "20",

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T1 - Prediction of Wastewater Treatment Plant Performance Using Multivariate Statistical Analysis

T2 - A Case Study of a Regional Sewage Treatment Plant in Melaka, Malaysia

AU - Rahmat, Sofiah

AU - Altowayti, Wahid Ali Hamood

AU - Othman, Norzila

AU - Asharuddin, Syazwani Mohd

AU - Saeed, Faisal

AU - Basurra, Shadi

AU - Eisa, Taiseer Abdalla Elfadil

AU - Shahir, Shafinaz

N1 - Funding Information: The authors fully acknowledged the Deanship of Scientific Research at King Khalid University for funding this work through Large Groups (Project under grant number (RGP.2/49/43)). The authors extend their appreciation to the Ministry of Higher Education (MOHE) through Prototype Research Grant Scheme (PRGS/2/2020/WAB02/UTHM/02/1). This study was supported financially by the Ministry of Health Malaysia, and data were provided by Indah Water Konsortium Sdn Bhd, Melaka, Malaysia. Wahid Ali Hamood Altowayti extends his gratitude to Universiti Teknologi Malaysia (UTM) for financial sponsorship and the Post-Doctoral Fellowship Scheme under the Professional Development Research University Grant (06E27). Funding Information: Deanship of Scientific Research at King Khalid University through Large Groups (Project under grant number (RGP.2/49/43)). Ministry of Higher Education (MOHE) through Prototype Research Grant Scheme (PRGS/2/2020/WAB02/UTHM/02/1). Universiti Teknologi Malaysia (UTM) for financial sponsorship and the Post-Doctoral Fellowship Scheme under the Professional Development Research University Grant (06E27). Publisher Copyright: © 2022 by the authors.

PY - 2022/10

Y1 - 2022/10

KW - MLR

KW - PCA

KW - wastewater

KW - WWQI

KW - WWTP

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VL - 14

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JF - Water (Switzerland)

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ER -

Prediction of Wastewater Treatment Plant Performance Using Multivariate Statistical Analysis: A Case Study of a Regional Sewage Treatment Plant in Melaka, Malaysia

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