Al-Mashhadany, M., Qaseem, N., Al-Saffawi, A. (2025). Comparison between fuzzy logic and water quality index (CCME) methods: A case of water quality assessment for livestock watering. , 18(4), 475-482. doi: 10.30772/qjes.2024.150798.1267
Mohammed H. Sabry Al-Mashhadany; Najlaa M. A. Qaseem; Abdulazeez Y. Al-Saffawi. "Comparison between fuzzy logic and water quality index (CCME) methods: A case of water quality assessment for livestock watering". , 18, 4, 2025, 475-482. doi: 10.30772/qjes.2024.150798.1267
Al-Mashhadany, M., Qaseem, N., Al-Saffawi, A. (2025). 'Comparison between fuzzy logic and water quality index (CCME) methods: A case of water quality assessment for livestock watering', , 18(4), pp. 475-482. doi: 10.30772/qjes.2024.150798.1267
Al-Mashhadany, M., Qaseem, N., Al-Saffawi, A. Comparison between fuzzy logic and water quality index (CCME) methods: A case of water quality assessment for livestock watering. , 2025; 18(4): 475-482. doi: 10.30772/qjes.2024.150798.1267

Comparison between fuzzy logic and water quality index (CCME) methods: A case of water quality assessment for livestock watering

Al-Qadisiyah Journal for Engineering Sciences
Volume 18, Issue 4, December 2025, Pages 475-482    PDF (14.37 M)
Document Type: Research Paper
DOI: 10.30772/qjes.2024.150798.1267
Authors
Mohammed H. Sabry Al-Mashhadany* 1; Najlaa M. A. Qaseem2; Abdulazeez Y. Al-Saffawi1
1Department of Chemistry, College of Education for Pure Sciences, University of Mosul, Nineveh, Iraq.
2Department of Environmental Sciences, College of Science, Zakho University, Kurdistan-Region, Iraq.
Abstract
This study aimed to evaluate groundwater quality for a group of wells in the area located between Sinjar and Tal Afar districts, west of Nineveh Governorate, to know the most appropriate places to water livestock. Samples were collected from twenty wells distributed throughout the study area and were measured for six months. A fuzzy logic model was developed to integrate eight parameters: pH, Ca, Mg, Na, Cl, PO4, SO4, and Fecal coliform (F.Coli). Membership functions for a fuzzy logic model of groundwater quality for livestock watering (GQLW) were constructed using linguistic expressions and trapezoidal shapes. The model was used on a data set of chemical analyses, and biological groundwater samples were taken from the study area. GQLW values ranged from fair to poor. This is due to the high concentrations of most studied parameters, which exceeded the permissible limits for livestock watering in groundwater in the southern part of the study area. The spatial distribution maps of the study area also matched the results of fuzzy Logic, which explains that the best groundwater quality is found in the northern regions. GQLW model evaluation makes this approach a more reliable way to evaluate water quality than traditional methods for assessing groundwater quality data; the correlation coefficient between the acquired data and the CCME quality index had to be estimated. The results of this new indicator showed a respectable correlation (0.76). The GQLW can be a useful tool for decision-making regarding groundwater management in the study area.
Keywords
Fuzzy Logic; Groundwater; Water quality; GQLW; Livestock watering
References
  • A. AL Zamili and M. J. Al-Haidarey, “The water quality index of bahr al-najaf aquifer,” AIP Publishing, vol. 2830, no. 1, 2023. [Online]. Available: https://doi.org/10.1063/5.0156858
  • Gholami, “Spatial modeling of groundwater depth fluctuations using co-active neuro-fuzzy inference system (canfis) and geographic information system (gis),” Applied Water Science, vol. 12, no. 3, p. 24, 2022. [Online]. Available: https://doi.org/10.1007/s13201-022-01572-z
  • Y. T. AlSaffawi, W. E. A. Sinjari, and Y. A. J. ALTaee, “Assessment of groundwater quality using (wqi) in gleewkhan village northeastern of iraq,” in Environmental Science, 2018. [Online]. Available: https://api.semanticscholar.org/CorpusID:212588314
  • H. S. Al-Mashhadany, “Application of the ccme water quality index to evaluate the groundwater quality of shouira village for drinking and domestic purposes in nineveh governorate,” IOP Conference Series: Earth and Environmental Science, vol. 722, no. 1, p. 012029, 2021. [Online]. Available: https://doi.org/10.1088/1755-1315/722/1/012029
  • H. S. Almashhadany, “Evaluation of the wells water quality for irrigation in ein al-husaan village, talafar district, iraq,” Materials Today: Proceedings, vol. 42, pp. 2756–2761, 2021. [Online]. Available: https://doi.org/10.1016/j.matpr.2020.12.717
  • S. Almashhadany, “Assessment the suitable of the groundwater for civil uses in kakhirta village, al-ayadiyah subdistrict, iraq,” Journal of Physics: Conference Series, vol. 1879, no. 2, p. 022060, 2021. [Online]. Available: https://doi.org/10.1088/1742-6596/1879/2/022060
  • N. Hamdan, Z. A. Al Saad, and S. Abu-Alhail, “Fuzzy system modelling to assess water quality for irrigation purposes,” Journal of Water and Land Development, no. 50, pp. 91–108, 2021. [Online]. Available: https://doi.org/10.24425/jwld.2021.138165
  • K. Jha, A. Shekhar, and M. A. Jenifer, “Assessing groundwater quality for drinking water supply using hybrid fuzzy-gis-based water quality index,” Water research, vol. 179, p. 115867, 2020. [Online]. Available: https://doi.org/10.1016/j.watres.2020.115867
  • G. Nayak, L. Patil, and V. K. Patki, “Development of water quality index for godavari river (india) based on fuzzy inference system,” Groundwater for sustainable development, vol. 10, p. 100350, 2020. [Online]. Available: https://doi.org/10.1016/j.gsd.2020.100350
  • M. Hosseini Moghari, K. Ebrahimi, and A. Azarnivand, “Groundwater quality assessment with respect to fuzzy water quality index (fwqi): an application of expert systems in environmental monitoring,” Environmental Earth Sciences, vol. 74, pp. 7229–7238, 2015. [Online]. Available: https://doi.org/10.1007/s12665-015-4703-1
  • Palanichamy, S. Palani, G. A. Hebsiba, J. Viola, A. Tungsrimvong, and B. Babu, “Simulation and prediction of groundwater quality of a semi-arid region using fuzzy inference system and neural network techniques,” Journal of Soft Computing in Civil Engineering, vol. 6, no. 1, pp. 110–126, 2022. [Online]. Available: https://doi.org/10.22115/scce.2022.285106.1314
  • Al-Saffawi, N. D. S. Al-Taay, and A. B. Y. H. Kaplan, “Qualitative assessment of groundwater for livestock and poultry watering: A case study of water wells in hamdaniya district, nineveh governorate, iraq,” IOP Publishing, 2nd Virtual International Scintific Agrticultural Conference, vol. 735, 2021. [Online]. Available: https://doi.org/10.1088/1755-1315/735/1/012018
  • Derdour, R. Hitache, and A. Mebarki, “Assessment of water resources for livestock in the wilaya of naama, southwest algeria: a gis-based approach,” Environmental Monitoring and Assessment, vol. 195, no. 12, p. 1419, 2023. [Online]. Available: https://doi.org/10.1007/s10661-023-11971-7
  • A. Kamal, M. A. Khalf, Z. A. Ahmed, J. A. Eljakee, R. A. Alhotan, M. A. Al-Badwi, E. O. Hussein, B. Galik, and A. A. Saleh, “Effect of water quality on causes of calf mortality in cattle-farm-associated epidemics,” Archives Animal Breeding, vol. 67, no. 1, pp. 25–35, 2024. [Online]. Available: https://doi.org/10.5194/aab-67-25-2024
  • W. Rice, R. B. Baird, A. D. Eaton, L. S. Clesceri et al., “Standard methods for the examination of water and wastewater,” Washington, DC American Public Health Association American Water Works, 2012.
  • C. Young, L. S. Clesceri, and S. M. Kamhawy, “Changes in the biochemical oxygen demand procedure in the 21st edition of standard methods for the examination of water and wastewater,” Water environment research, vol. 77, no. 4-PMID: 16121508., pp. 404–410, 2005. [Online]. Available: https://pubmed.ncbi.nlm.nih.gov/16121508/
  • W. Rice, R. B. Baird, A. D. Eaton, L. S. Clesceri et al., “Standard methods for the examination of water and wastewater,” Washington, DC American Public Health Association American Water Works . . . , 2012.
  • Iqbal, M. Imran, Natasha, G. Rahman, M. Miandad, M. Shahid, and B. Murtaza, “Spatial distribution, health risk assessment, and public perception of groundwater in bahawalnagar, punjab, pakistan: a multivariate analysis,” Environmental Geochemistry and Health, vol. 45, no. 2, pp. 381–391, 2023. [Online]. Available: https://doi.org/10.1007/s10653-021-01182-9
  • Lu, Y. Fan, Y. Hu, H. Zhang, Y. Wei, and Z. Yan, “Spatial distribution characteristics and source analysis of shallow groundwater pollution in typical areas of yangtze river delta,” Science of the Total Environment, vol. 906, p. 167369, 2024. [Online]. Available: https://doi.org/10.1016/j.scitotenv.2023.167369
  • Zeng, C. B. Tabelin, W. Gao, L. Tang, X. Luo, W. Ke, J. Jiang, and S. Xue, “Heterogeneous distributions of heavy metals in the soil-groundwater system empowers the knowledge of the pollution migration at a smelting site,” Chemical Engineering Journal, vol. 454, p. 140307, 2023. [Online]. Available: https://doi.org/10.1016/j.cej.2022.140307
  • Zhang, C. Xing, X. Guo, T. Zheng, K. Zhang, X. Xiao, Z. Sun, B. Lei, and M. Li, “Temporal and spatial distribution patterns of upper saline plumes and seawater-groundwater exchange under tidal effect,” Journal of Hydrology, vol. 625, p. 130042, 2023. [Online]. Available: https://doi.org/10.1016/j.jhydrol.2023.130042
  • Akhtar, M. I. S. Ishak, M. I. Ahmad, K. Umar, M. S. Md Yusuff, M. T. Anees, A. Qadir, and Y. K. Ali Almanasir, “Modification of the water quality index (wqi) process for simple calculation using the multi-criteria decision-making (mcdm) method: a review,” Water, vol. 13, no. 7, p. 905, 2021. [Online]. Available: https://doi.org/10.3390/w13070905
  • A. Khan, R. Paterson, and H. Khan, “Modification and application of the canadian council of ministers of the environment water quality index (ccme wqi) for the communication of drinking water quality data in newfoundland and labrador,” Water Quality Research Journal, vol. 39, no. 3, pp. 285–293, 2004. [Online]. Available: https://doi.org/10.2166/wqrj.2004.039
  • Shwetanka, Suhasb, and J. K. Chaudhary, “A comparative study of fuzzy logic and wqi for groundwater quality assessment,” Procedia Computer Science, pp. 1194–1203, 2020. [Online]. Available: https://doi.org/10.1016/j.procs.2020.04.128
  • Shakour, M. Chitsazan, and S. Y. Mirzaee, “Zonation of groundwater quality in terms of drinkability, using fuzzy logic and schoeller deterministic method for northern dezful-andimeshk plain, iran,” Discover Water, vol. 3, no. 22, 2023. [Online]. Available: https://doi.org/10.1007/s43832-023-00046-w
  • R. Pathak and N. P. Bhandary, “Evaluation of groundwater vulnerability to nitrate in shallow aquifer using multi-layer fuzzy inference system within gis environment,” Groundwater for Sustainable Development, vol. 11, p. 100470, 2020. [Online]. Available: https://doi.org/10.1016/j.gsd.2020.100470
  • Mahmoudpour, E. Abbas Novinpour, and H. Moghimi, “Fuzzy zoning of groundwater quality (case study: Sardasht county, west azerbaijan province, iran),” Journal of Natural Environment, vol. 76, no. 1, pp. 149–160, 2023. [Online]. Available: https://doi.org/10.22059/jne.2022.338554.2388
  • Sajan R. and V. B. Christopher, “A fuzzy inference system for enhanced groundwater quality assessment and index determination,” Water Quality Research Journal, vol. 58, no. 3, pp. 230–246, 08 2023. [Online]. Available: https://doi.org/10.2166/wqrj.2023.031
  • T. Socha, S. Ensley, D. J. Tomlinson, and A. B. Johnson, “Variability of water composition and potential impact on animal performance,” Proc. from the Intermountain Nutrition Conference, Salt Lake City, UT, pp. 85–96, 2003. [Online]. Available: https://doi.org/10.21423/aabppro20035339
  • Raheja, A. Goel, and M. Pal, “A holistic assessment of groundwater quality for drinking and irrigation purposes,” Water Practice & Technology, vol. 19, no. 1, pp. 134–153, 2024. [Online]. Available: https://doi.org/10.2166/wpt.2023.228
  • McDowell, N. Cox, C. Daughney, D. Wheeler, and M. Moreau, “A national assessment of the potential linkage between soil, and surface and groundwater concentrations of phosphorus,” JAWRA Journal of the American Water Resources Association, vol. 51, no. 4, pp. 992–1002, 2015. [Online]. Available: https://doi.org/10.1111/1752-1688.12337
  • W. Jumaa and R. S. Abdulqader, “Evaluation of drinking water quality index in kirkuk city, iraq,” Central Asian Journal of Medical and Natural Science, vol. 5, no. 3, pp. 815–823, Jul. 2024. [Online]. Available: https://cajmns.casjournal.org/index.php/CAJMNS/article/view/2517
  • Al-Saffawi, N. D. Al-Taay, and A. B. Y. Kaplan, “Qualitative assessment of groundwater for livestock and poultry watering: A case study of water wells in hamdaniya district, nineveh governorate, iraq,” IOP Conference Series: Earth and Environmental Science, vol. 735, no. 1, p. 012018, 2021. [Online]. Available: https://doi.org/10.1088/1755-1315/735/1/012018
  • Majeed, B. Al-Tawash, and H. Ali, “Evaluation of groundwater using the water quality index (wqi) in hawija area, kirkuk, northern iraq,” Iraqi National Journal of Earth Science, vol. 24, no. 1, pp. 156–0, 2024. [Online]. Available: https://doi.org/10.33899/earth.2023.141207.1097
  • L. Wright, “Management of water quality for beef cattle,” Veterinary Clinics of North America: Food Animal Practice, vol. 23, no. 1, pp. 91–103, 2007. [Online]. Available: https://doi.org/10.1016/j.cvfa.2006.12.002
  • Petersen, J. Muscha, J. Mulliniks, R. Waterman, A. Roberts, and M. Rinella, “Sources of variability in livestock water quality over 5 years in the northern great plains,” Journal of animal science, vol. 93, no. 4, pp. 1792–1801, 2015. [Online]. Available: https://doi.org/10.2527/jas.2014-8028
  • S. Al-Aizari, F. Aslaou, O. Mohsen, A. R. Al-Aizari, A.-B. Al-Odayni, N. A. Abduh, A.-J. M. Al-Aizari, and E. A. Taleb, “Assessment of groundwater quality for irrigation purpose using irrigation water quality index (iwqi),” Journal of Environmental Engineering and Landscape Management, vol. 32, no. 1, pp. 1–11, 2024. [Online]. Available: https://doi.org/10.3846/jeelm.2024.20598
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