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Ms. Hauwa Mustafa
Universiti Tenaga Nasional (UNITEN)

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0 wasterwater treatment
0 biofuel production

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Journal article
Published: 04 April 2021 in Ain Shams Engineering Journal
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The release of high amount of nitrogen and phosphorous from agricultural, municipal and industrial sewage into natural water body is the major source of eutrophication in aquatic ecosystems. This leads to the depletion of oxygen, cyanobacteria bloom and proliferation of aquatic weed plants, and destruction of water ecosystem. Therefore, effective treatment of municipal wastewater is crucial prior to discharge into natural water bodies in order to prevent pollution, and to meet the wastewater acceptable limits set by government and Environmental Protection Agencies. The present study evaluates the performance of varying weight of S. molesta plants in phytoremediation of treated domestic wastewater samples for 14 days at 24 h retention time. Physicochemical analysis such as turbidity, phosphate, ammoniacal nitrogen and nitrate tests were conducted on the wastewater samples according to spectrophotometric methods. Also, S. molesta plants were harvested once in a week and the relative growth rate (RGR) was calculated. The outcome of the study indicated that the treated domestic wastewater from the sewage treatment plant contains pollutants that stimulates the growth of S. molesta plants. Similarly, the highest reduction efficiency of up to 97.7%, 99.7%, 99% and 90.6% was observed for turbidity, phosphate, ammoniacal nitrogen and nitrate, respectively. In addition, the outcome of the study also demonstrated that S. molesta plants with the highest weight (280 g) were more efficient in removal of the excess nutrient present in the influent samples. Furthermore, the free energy content in the wastewater provided a suitable consortium for the plant cultivation and growth. Therefore, this method can be used for lab-scale production of wastewater-based biomass for the generation of biofuels.

ACS Style

Hauwa M. Mustafa; Gasim Hayder. Cultivation of S. molesta plants for phytoremediation of secondary treated domestic wastewater. Ain Shams Engineering Journal 2021, 1 .

AMA Style

Hauwa M. Mustafa, Gasim Hayder. Cultivation of S. molesta plants for phytoremediation of secondary treated domestic wastewater. Ain Shams Engineering Journal. 2021; ():1.

Chicago/Turabian Style

Hauwa M. Mustafa; Gasim Hayder. 2021. "Cultivation of S. molesta plants for phytoremediation of secondary treated domestic wastewater." Ain Shams Engineering Journal , no. : 1.

Journal article
Published: 24 January 2021 in Heliyon
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The objective of this study was to investigate the performance of different weight of Salvinia molesta plants in biological treatment of domestic wastewater. Three treatment systems containing 280g (GS1), 140g (GS2) and 70g (GS3) of S. molesta plants were used for the phytoremediation process. Physicochemical analysis such as pH, colour, chemical oxygen demand (COD), and biological oxygen demand (BOD5) of the influent and effluent water samples were performed according to spectrophotometric methods. The outcome of the study demonstrated that the different weight of S. molesta plants played a significant role in improving the quality of the wastewater samples, in which GS1 removed 96.8% (colour), 91% (BOD5), and 82.6% (COD). While up to 88.6% (colour), 87.1% (BOD5), and 81.1% (COD) reduction was observed for GS2 treatment systems, and GS3 was efficient in removing 85.5% (colour), 86.1% (BOD5), and 68.3% (COD). Also, a pH value of 6.29–7.19, 5.97–7.07, and 6.17–7.42 was obtained from GS1, GS2 and GS3 treatment systems, respectively. Thus, the treatment system with the highest quantity of S. molesta (GS1) demonstrated better performance compared to the other two systems (GS2 and GS3). The findings of this research can be applied in addressing the goals of sustainable development through the use of green technology to reduce the threat of water pollution in natural water bodies. Perhaps existing and future water scarcity can be resolved through the use of phytoremediation technology.

ACS Style

Hauwa Mohammed Mustafa; Gasim Hayder. Performance of Salvinia molesta plants in tertiary treatment of domestic wastewater. Heliyon 2021, 7, e06040 .

AMA Style

Hauwa Mohammed Mustafa, Gasim Hayder. Performance of Salvinia molesta plants in tertiary treatment of domestic wastewater. Heliyon. 2021; 7 (1):e06040.

Chicago/Turabian Style

Hauwa Mohammed Mustafa; Gasim Hayder. 2021. "Performance of Salvinia molesta plants in tertiary treatment of domestic wastewater." Heliyon 7, no. 1: e06040.

Journal article
Published: 01 January 2021 in Journal of Ecological Engineering
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ACS Style

Isman Kurniawan; Gasim Hayder; Hauwa Mohammed Mustafa. Predicting Water Quality Parameters in a Complex River System. Journal of Ecological Engineering 2021, 22, 250 -257.

AMA Style

Isman Kurniawan, Gasim Hayder, Hauwa Mohammed Mustafa. Predicting Water Quality Parameters in a Complex River System. Journal of Ecological Engineering. 2021; 22 (1):250-257.

Chicago/Turabian Style

Isman Kurniawan; Gasim Hayder; Hauwa Mohammed Mustafa. 2021. "Predicting Water Quality Parameters in a Complex River System." Journal of Ecological Engineering 22, no. 1: 250-257.

Journal article
Published: 19 December 2020 in Applied Sciences
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Organic matter, nutrients, and chemicals are some of the waste materials found in most domestic wastewaters. The purpose of this research was to evaluate the potentials of Pistia stratiotes, Salvinia molesta, and Eichhornia crassipes aquatic weed plants in the tertiary treatment of secondary domestic wastewater using hydroponic systems. Physicochemical analysis that considered turbidity, phosphate, ammoniacal nitrogen, and nitrate was conducted on the wastewater samples at different retention times of 6, 12, and 24 h for 14 days. The best performance was observed for a 24 h retention treatment system, with up to 91% (P. stratiotes), 94% (S. molesta), and 89.3% (E. crassipes) reduction for turbidity; 81.2% (P. stratiotes), 82.7% (S. molesta), and 88.5% (E. crassipes) for phosphate reduction; 88.66% (P. stratiotes), 90.47% (S. molesta), and 89.11% (E. crassipes) for ammoniacal nitrogen reduction; 83.6% (P. stratiotes), 92.1% (S. molesta) and 93% (E. crassipes) for nitrate reduction. Hence, the application of hydroponic systems in cultivation of the macrophytes proved to be effective in the phytoremediation process by removing the residual nutrients present in the treated secondary domestic wastewater. Additionally, this method can be used for the cultivation of plant-based biomass and other non-edible useful crops using the free nutrients content of the wastewater before its discharge into the natural environment.

ACS Style

Hauwa Mohammed Mustafa; Gasim Hayder. Performance of Pistia stratiotes, Salvinia molesta, and Echhornia crassipes Aquatic Plants in the Tertiary Treatment of Domestic Wastewater with Varying Retention Times. Applied Sciences 2020, 10, 9105 .

AMA Style

Hauwa Mohammed Mustafa, Gasim Hayder. Performance of Pistia stratiotes, Salvinia molesta, and Echhornia crassipes Aquatic Plants in the Tertiary Treatment of Domestic Wastewater with Varying Retention Times. Applied Sciences. 2020; 10 (24):9105.

Chicago/Turabian Style

Hauwa Mohammed Mustafa; Gasim Hayder. 2020. "Performance of Pistia stratiotes, Salvinia molesta, and Echhornia crassipes Aquatic Plants in the Tertiary Treatment of Domestic Wastewater with Varying Retention Times." Applied Sciences 10, no. 24: 9105.

Journal article
Published: 04 December 2020 in Applied Sciences
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Water resources management in Malaysia has become a crucial issue of concern due to its role in the economic and social development of the country. Kelantan river (Sungai Kelantan) basin is one of the essential catchments as it has a history of flood events. Numerous studies have been conducted in river basin modelling for the prediction of flow and mitigation of flooding events as well as water resource management. This paper presents river flow modelling based on meteorological and weather data in the Sungai Kelantan region using a cascade-forward neural network trained with particle swarm optimization algorithm (CFNNPSO). The result is compared with those trained with the Levenberg–Marquardt (LM) and Bayesian Regularization (BR) algorithm. The outcome of this study indicates that there is a strong correlation between river flow and some meteorological and weather variables (weighted rainfall, average evaporation and temperatures). The correlation scores (R) obtained between the target variable (river flow) and the predictor variables were 0.739, −0.544, and −0.662 for weighted rainfall, evaporation, and temperature, respectively. Additionally, the developed nonlinear multivariable regression model using CFNNPSO produced acceptable prediction accuracy during model testing with the regression coefficient (R2), root mean square error (RMSE), and mean of percentage error (MPE) of 0.88, 191.1 cms and 0.09%, respectively. The reliable result and predictive performance of the model is useful for decision makers during water resource planning and river management. The constructed modelling procedure can be adopted for future applications.

ACS Style

Gasim Hayder; Mahmud Iwan Solihin; Hauwa Mohammed Mustafa. Modelling of River Flow Using Particle Swarm Optimized Cascade-Forward Neural Networks: A Case Study of Kelantan River in Malaysia. Applied Sciences 2020, 10, 8670 .

AMA Style

Gasim Hayder, Mahmud Iwan Solihin, Hauwa Mohammed Mustafa. Modelling of River Flow Using Particle Swarm Optimized Cascade-Forward Neural Networks: A Case Study of Kelantan River in Malaysia. Applied Sciences. 2020; 10 (23):8670.

Chicago/Turabian Style

Gasim Hayder; Mahmud Iwan Solihin; Hauwa Mohammed Mustafa. 2020. "Modelling of River Flow Using Particle Swarm Optimized Cascade-Forward Neural Networks: A Case Study of Kelantan River in Malaysia." Applied Sciences 10, no. 23: 8670.

Review
Published: 20 June 2020 in Ain Shams Engineering Journal
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Clean water is an inevitable necessity in human life apart from food and shelter. Surface and underground water are the major sources of clean water. However, with the rapid growth in population and increasing industrial development in Malaysia, many water sources have become polluted. Hence, wastewater must be adequately treated prior to discharge into the environment. Currently, conventional treatment methods are not always effective towards complete removal of water contaminants. Phytoremediation technique is a branch of bioremediation that employs the application of plants for the remediation of wastewater. Aquatic plants have the capacity to absorb excess contaminants such as organic and inorganic, heavy metals, and pharmaceutical pollutants present in agricultural, domestic and industrial wastewater. Among the aquatic plants, Salvinia molesta and Pistia stratiotes have been widely used for the treatment of agricultural, domestic and industrial wastewater. The wide application of these plants is due to their availability, resilience in a toxic environment, bioaccumulation potentials, invasive mechanism and biomass potentials. This review paper covers the major roles and potentials of aquatic plants in phytoremediation of wastewater. It has also reviewed recent research work on the efficiency of Salvinia molesta and Pistia stratiotes plants in wastewater remediation and identified areas for further studies as we find stoichiometric homeostatic index and resource pulse effects studies of these plants is necessary in wastewater phytoremediation processes.

ACS Style

Hauwa M. Mustafa; Gasim Hayder. Recent studies on applications of aquatic weed plants in phytoremediation of wastewater: A review article. Ain Shams Engineering Journal 2020, 12, 355 -365.

AMA Style

Hauwa M. Mustafa, Gasim Hayder. Recent studies on applications of aquatic weed plants in phytoremediation of wastewater: A review article. Ain Shams Engineering Journal. 2020; 12 (1):355-365.

Chicago/Turabian Style

Hauwa M. Mustafa; Gasim Hayder. 2020. "Recent studies on applications of aquatic weed plants in phytoremediation of wastewater: A review article." Ain Shams Engineering Journal 12, no. 1: 355-365.