Fuzzy Logic Inference Index to Assess the Water Quality of Tigris River within Baghdad City

Salam Hussein Ewaid, Turki Diwan Hussein, Faiza Kadhim Emran

Abstract


This study aimed to develop a new water quality index for routine assessment of the river water quality for drinking purpose based on fuzzy logic artificial intelligence method. Four water quality parameters were involved in light of their significance to Iraqi waters, these parameters are biological oxygen demand, and total dissolved solids, total hardness, and fecal coliform. Fuzzy logic inference system with specific rules was developed by Matlab software using Mamdani fuzzy logic Max–Min inference system method. To evaluate the performance of this new fuzzy water quality index (FWQI), tests were conducted using the Iraqi standards for drinking water quality and the 2017 data set of Tigris River within Baghdad. Results revealed the FWQI ability to assess the water quality of Tigris River during the period of the study and that the method of fuzzy inference system was a simple, valuable and applied water quality evaluation tool for human drinking water of Iraqi rivers.

Keywords


Water quality index, Iraqi Rivers, Fuzzy logic.

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References


Ewaid, S. H., & Abed, S. A. (2017). Water quality index for Al-Gharraf River, southern Iraq. The Egyptian Journal of Aquatic Research, 43(2), 117-122.

Ewaid, S. H. (2017). Water quality evaluation of Al-Gharraf river by two water quality indices. Applied Water Science, 7(7), 3759-3765.

Al-Ansari, N. (2013). Management of water resources in Iraq: perspectives and prognoses. Engineering, 5(6), 667-684. ‏

Chau, K. W. (2006). A review of the integration of artificial intelligence into water quality modeling. Marine pollution bulletin, 52(7), 726-733

Abbasi, T., & Abbasi, S. A. (2012). Water quality indices. 1st Edition, eBook. Elsevier.

Perrin, J. L., Salles, C., Bancon-Montigny, C., Raïs, N., Chahinian, N., Dowse, L., ... & Tournoud, M. G. (2018). Comparison of index systems for rating water quality in intermittent rivers. Environmental monitoring and assessment, 190(2), 70.

Horton, R.K., 1965. “An index number system for rating water quality”, J. Water Poll. Cont. Fed., 37(3). 300-305.

Ocampo-Duque, W., Osorio, C., Piamba, C., Schuhmacher, M., & Domingo, J. L. (2013). Water quality analysis in rivers with non-parametric probability distributions and fuzzy inference systems: application to the Cauca River, Colombia. Environment international, 52, 17-28. ‏

Chapra, S. C. (2008). Surface-water-quality modeling. Waveland Press. ‏

Ross, T. J. (2010). Fuzzy logic with engineering applications. 3rd Edition. John Wiley & Sons.

Hamad, S. H., Schauer, J. J., Shafer, M. M., Abed Al-Raheem, E., & Satar, H. (2012). The distribution between the dissolved and the particulate forms of 49 metals across the Tigris River, Baghdad, Iraq. The Scientific World Journal, 2012. ‏

Jayawardena, A. W. (2014). Environmental and hydrological systems modeling. CRC Press. ‏

Chang, N. B., Chen, H. W., & Ning, S. K. (2001). Identification of river water quality using the fuzzy synthetic evaluation approach. Journal of environmental management, 63(3), 293-305.

Ocampo-Duque, W., Ferre-Huguet, N., Domingo, J. L., & Schuhmacher, M. (2006). Assessing water quality in rivers with fuzzy inference systems: a case study. Enviro. International, 32(6), 733-742.

‏‏

Semiromi, F. B., Hassani, A. H., Torabian, A., Karbassi, A. R., & Lotfi, F. H. (2011). Water quality index development using fuzzy logic: A case study of the Karoon River of Iran. African Journal of Biotechnology, 10(50), 10125-10133. ‏

Al-Badaii, F., Shuhaimi-Othman, M., & Gasim, M. B. (2013). Water quality assessment of the Semenyih River, Selangor, Malaysia. Journal of Chemistry, 2013.

‏‏

Mourhir, A., Rachidi, T., & Karim, M. (2014). River water quality index for Morocco using a fuzzy inference system. Environmental Systems Research, 3(1), 21

Lindang, H. U., Tarmudi, Z. H., & Jawan, A. (2017). Assessing water quality index in river basin: Fuzzy inference system approach. Malaysian Journal Geosciences (MJG) 1(1) (2017) 27-31.

Icaga, Y. (2007). Fuzzy evaluation of water quality classification. Ecological Indicators, 7(3), 710-718.

Gharibi, H., Mahvi, A. H., Nabizadeh, R., Arabalibeik, H., Yunesian, M., & Sowlat, M. H. (2012). A novel approach to water quality assessment based on fuzzy logic. J. of Env. Manag., 112, 87-95.

Alobaidy, A. H. M. J., Abid, H. S., & Maulood, B. K. (2010). Application of water quality index for assessment of Dokan lake ecosystem, Kurdistan region, Iraq. journal of water resource and protection, 2 (09), 792. ‏

Rabee, A. M., Abdul-Kareem, B. M., & Al-Dhamin, A. S. (2011). Seasonal variations of some ecological parameters in Tigris River water at Baghdad Region, Iraq. J. of Water Res. and Protect., 3(04), 262.

Ewaid, S. H., Abed, S. A., & Kadhum, S. A. (2018). Prediction of the Tigris River water quality within Baghdad, Iraq by using water quality index and regression analysis. Environmental Technology & Innovation‏ 11(2018) 390-398.

Tiwari, S. (2015). Water quality parameters–A review. International Journal of Engineering Science Invention Research and Development, 1(9), 319-324.

Ireland, E. P. A. (2001). Parameters of water quality–interpretation and standards. Environmental Protection Agency, Wexford.

Ewaid, S. H. (2018). Irrigation water quality of Al-Gharraf Canal, south of Iraq. In Journal of Physics: Conference Series (Vol. 1003, No. 1, p. 012006). IOP Publishing.

Al-Bayatti, K. K., Al-Arajy, K. H., & Al-Nuaemy, S. H. (2012). Bacteriological and physicochemical studies on the Tigris River near the water purification stations within Baghdad. J. of Env. and Public health.

Ewaid, S. H., & Abed, S. A. (2017) Water Quality Assessment of Al-Gharraf River, South of Iraq Using Multivariate Statistical Techniques. J. of Al Nahrain Univ.-Science, 5(6), 7.

Mamdani, E. H. (1976). Application of fuzzy logic to approximate reasoning using linguistic synthesis. In Proceedings of the sixth international symposium on Multiple-valued logic (pp. 196-202). IEEE Computer Society Press. ‏

MathWorks, I. (2013). MATLAB and Statistics Toolbox Release. Natick, MA: The MathWorks.‏

Central Agency for Standardization and Quality Control (CASQC) (2009). Iraqi guidelines for drinking water, IQS: 417 2nd update.




DOI: http://dx.doi.org/10.23851/mjs.v29i3.617

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