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Document Type |
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Thesis |
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Document Title |
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MULTIVARIATE ANALYSIS OF MICROBIAL DIVERSITY AND PHYSICO-CHEMICAL CHARACTERISTICS OF JEDDAH S MUNICIPAL WASTE WATER دراسة التحاليل متعدّدة المتغيّرات للتّنوّع الميكروبي و الخصائص الفيزيوكيميائيّة لميّاه الصّرف الصّحّي بمدينة جدّه |
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Subject |
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Faculty of Science |
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Document Language |
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Arabic |
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Abstract |
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This study was designed to develop a multivariate chemometrical approach to assess wastewater effluents quality in Jeddah city. Nineteen sample were collected from the main two wastewater treatment plants (WWTP) at different time intervals: The Northern WWTP (21.6498°N, −39.2002°E) and the Southern WWTP (21.3704°N, −39.2217°E) during the period January-February 2019. The most relevant parameters related to water quality assessment including organic, non-organic and biological pollutants were measured according to international standards. The main parameters were: Total Biological Oxygen Demand (BOD), Total Chemical Oxygen Demand (COD), Total Dissolved Solid (TDS), Total Suspend Solid (TSS), nitrate, heavy metals concentrations, pH, temperature, and turbidity. The bacterial contaminants were determined based on culturable techniques using plate counts for the former and massive parallel sequencing of 16rRNA sequencing. Different data sets were generated by and pre-treated, obtaining a final data matrix of 19 samples versus 26 physical- chemical- biological- variables each. Univariate and multivariate statistical methods like principal component analysis, multi curve resolution and correlation analysis, predictive models and factor analysis methods were applied. To the best of our knowledge, the current research study developed for the first time a chemometrical analysis approach assessing the physico-chemical pollutants and the microbial diversity based on 16S sequences analysis during the different steps of wastewater treatment in the main two WWTPs in Jeddah city. Our approach will be a helpful scientific tool for decision-makers in order to evaluate: (i) the performance of WWTPs in Saudi Arabia, (ii) to establish predictive models about the treated water quality, (iii) Future impact of treated wastewater on environment and ecosystem, and (iv) to develop simple and reliable techniques to monitor water quality from the domestic effluent until their final release in the Red Sea. |
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Supervisor |
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Dr Abdelfatteh El Omri |
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Thesis Type |
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Master Thesis |
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Publishing Year |
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1441 AH
2020 AD |
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Added Date |
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Friday, June 12, 2020 |
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Researchers
| علي حسن المولد | Al-Mwallad, Ali Hasan | Researcher | Master | |
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