Simulation and Modeling of Water Treatment Plant with GPS-X Software for Health and Water Quality
Nabaa Abdul- Kareem 1*, Jabbar H. Al-Baidhani 1
Journal of Angiotherapy 8(3) 1-8 https://doi.org/10.25163/angiotherapy.839473
Submitted: 09 January 2024 Revised: 05 March 2024 Published: 07 March 2024
This research determined the quality of the Water Treatment Plant using special software that verified the function of water treatment plants to ensure health safety.
Abstract
Background: Waterborne diseases are infectious in nature, significantly impacting global health related to water quality and disease prevalence globally. In this study, GPS-X was used to design and simulate water treatment plants to determine the effectiveness of different mechanisms in water treatment. Method: The GPS-X water treatment software was utilized to evaluate raw and treated water performance at the Al-Kadhmaya Water Treatment Plant. Three scenarios were designed to assess the impact of varying flow rates and water parameters such as pH, alkalinity, turbidity, total dissolved solids (TDS), and total suspended solids (TSS) on the plant's performance. Results: The evaluation of the operational performance of the water treatment plant revealed that the concentrations of all contaminants in the effluent water consistently met the established Iraqi and WHO standards across all scenarios. This indicated the effectiveness of the plant's treatment processes in producing safe drinking water. The findings of this study held significance for water authorities, decision-makers in Iraq, and national and international environmental agencies, providing valuable information for improving water treatment practices and ensuring compliance with water quality standards. Conclusion: The study demonstrated the effectiveness of the GPS-X water treatment software in assessing the performance of the Al-Kadhmaya Water Treatment Plant. The results highlighted the plant's ability to consistently meet water quality standards, underscoring the importance of robust water treatment processes. These findings contributed to the body of knowledge regarding water treatment plant design and operation, offering insights that can inform decision-making processes to enhance water quality and ensure public health.
Keywords: Water Treatment Facilities (WTPs), GPS-X, Water Treatment Software, Water Quality, Water Management
References
A. A. Abbas, & F. M. Hassan*. (2018). Water Quality Assessment Of Euphrates River In Qadisiyah Province (Diwaniyah River), Iraq. Iraqi Journal of Agricultural Sciences.
??Bârjoveanu, G., Teodosiu, C., Gîlca, A.-F., Roman, I., & Fiore, S. (2019). Environmental Engineering and Management (Vol. 18, Issue 2). http://www.eemj.icpm.tuiasi.ro/;http://www.eemj.eu
??Mohammed, N. Y., & Abdulrazzaq, K. A. (2021). Application of multivariate statistical techniques in the evaluation of large-scale water treatment plants in Baghdad. IOP Conference Series: Materials Science and Engineering, 1105(1), 012109. https://doi.org/10.1088/1757-899x/1105/1/012109
?Abukhanafer, G., & Salman, H. M. (2018). Evaluating the Performance of Water Treatment Plant. https://www.researchgate.net/publication/325988232
?Hassan, F. M., & Mahmood, A. R. (2018). Evaluate the Efficiency of Drinking Water Treatment Plants in Baghdad City-Iraq. Journal of Applied & Environmental Microbiology, 6(1), 1–9. https://doi.org/10.12691/jaem-6-1-1
Abbasi, N., Ahmadi, M., & Naseri, M. (2021). Quality and cost analysis of a wastewater treatment plant using GPS-X and CapdetWorks simulation programs. Journal of Environmental Management, 284, 111993. https://doi.org/10.1016/J.JENVMAN.2021.111993
Al-Rawi, S. M. (2009). Introducing sand filter capping for turbidity removal for potable water treatment plants of Mosul/Iraq. In International Journal of Water Resources and Environmental Engineering (Vol. 1, Issue 1). http://www.academicjournals.org/IJWREE
Chang, E. E., Peng Chi Chiang, Shu Mei Huang, and Yi Li Lin. 2007. Development and Implementation of Performance Evaluation System for a Water Treatment Plant: Case Study of Taipei Water Treatment Plant, Practice Periodical of Hazardous, Toxic, and Radioactive Waste Management11(1):36–47. DOI: 10.1061/(ASCE)1090-025X (2007)11:1(36).
Clark, P. A., Pinedo, C. A., Fadus, M., & Capuzzi, S. (2012). Slow-sand water filter: Design, implementation, accessibility and sustainability in developing countries Word count: RA105. http://www.medscimonit.com/fulltxt.php?ICID=883200
hatch. (2022). GPS-X Process Water Tutorial Guide A Step-By-Step Guide For Learning And Getting Familiar With Gps-X’s Process Water Lirary Gps-X Version 8.5 I GPS-X Process Water Tutorial Manual.
Khadse, G. K., Patni, • P M, Talkhande, • A V, & Labhasetwar, • P K. (n.d.). Change in drinking water quality from catchment to consumers: a case study. https://doi.org/10.1007/s40899-016-0069-0
Mhashhash, A., Bockelmann-Evans, B., & Pan, S. (2018). Effect of hydrodynamics factors on sediment flocculation processes in estuaries. Journal of Soils and Sediments, 18(10), 3094–3103. https://doi.org/10.1007/s11368-017-1837-7
Mhashhash, A., Bockelmann-Evans, B., & Pan, S. (n.d.). Physical And Ecological Aspects Of Mobile Sediments Effect of hydrodynamics factors on sediment flocculation processes in estuaries. https://doi.org/10.1007/s11368-017-1837-7
Mu’azu, N. D., Alagha, O., & Anil, I. (2020). Systematic modeling of municipal wastewater activated sludge process and treatment plant capacity analysis using GPS-X. Sustainability (Switzerland), 12(19). https://doi.org/10.3390/su12198182
Nanjan Bellie, P., & Sockan, V. (2008). Waste Water Treatment by Coagulation and Flocculation. Certified International Journal of Engineering Science and Innovative Technology (IJESIT), 9001(2). https://www.researchgate.net/publication/273638362
Saritha, V., Srinivas, N., & Srikanth Vuppala, N. V. (2017). Analysis and optimization of coagulation and flocculation process. Applied Water Science, 7(1), 451–460. https://doi.org/10.1007/s13201-014-0262-y
Wang, H., & Yu, X. (2014). A review of the protection of sources of drinking water in China. Natural Resources Forum, 38(2), 99–108. https://doi.org/10.1111/1477-8947.12036
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