Authors :
S. C. Anyanwu; E. R. Onukwugha; O. H. Ibearugbulem; O. C. Iwuamadi; E. I. Iwuchukwu; C. O. Okeke; E. N Uzohuo; C. N. Ononogbo
Volume/Issue :
Volume 11 - 2026, Issue 2 - February
Google Scholar :
https://tinyurl.com/bdhkyf67
Scribd :
https://tinyurl.com/3xjtt6yz
DOI :
https://doi.org/10.38124/ijisrt/26feb321
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
This study examined the influence of physicochemical parameters on the Water Quality Index percentage
(WQI%) of groundwater and selected surface water sources in Rivers State, Nigeria. The research was conducted as a
follow-up to earlier water quality assessments carried out in selected cities within the state, where significant variations in
WQI% values were observed depending on whether all water quality parameters or only heavy metal parameters were
considered. This observation prompted further investigation to better understand the individual and collective contributions
of each parameter to the overall WQI outcome.
Water samples were collected from groundwater sources and selected rivers across different locations in Rivers State,
and laboratory analyses were carried out around March 2022. The parameters analyzed included pH, temperature,
electrical conductivity, turbidity, total dissolved solids (TDS), hardness, chloride, nitrate, phosphate, biological oxygen
demand (BOD), chemical oxygen demand (COD), dissolved oxygen (DO), and heavy metals such as lead (Pb), mercury (Hg),
cadmium (Cd), copper (Cu), chromium (Cr), and manganese (Mn), as well as microbiological indicators including
Escherichia coli and total coliforms.
The Weighted Arithmetic Water Quality Index (WAWQI) method was used to compute WQI% values under two
conditions: first, by considering all analyzed parameters, and second, by excluding parameters with zero or negligible values
(≤0.0001). The comparison of results highlights the sensitivity of WQI% to parameter selection and underscores the
importance of comprehensive parameter inclusion in water quality assessment.
Keywords :
Water Quality Index (WQI), physicochemical parameters, groundwater, surface water, heavy metals, Rivers State, Nigeria.
References :
- Allen-O’Donnell, M., Nowak, T. C., Snyder, K. A., & Cottingham, M. D. (2011). Impact of group settings and gender on meals purchased by college students. Journal of Applied Social Psychology, 49(9). https://doi.org/10.1111/j.1559-1816.2011.00804.x
- Anyanwu, S. C., Onukwugha, E. R., Ibearugbulem, O. H., Iwuamadi, O. C., Iwuchukwu, E. I., Okeke, C. O., Uzohuo, E. N., & Ononogbo, C. N. (2022). Early wet season quality assessment of water sources from selected cities in Rivers State, Nigeria. International Journal of Scientific & Engineering Research, 13(10), 3645.
- Chandra, D. S., Asadi, S. S., & Raju, M. V. S. (2017). Estimation of water quality index by weighted arithmetic water quality index method: A model study. International Journal of Civil Engineering and Technology, 8(4), 1215–1222. http://iaeme.com/Home/issue/IJCIET?Volume=8&Issue=4
- Chidiac, S., El Najjar, P., Ouaini, N., El Rayess, Y., & El Azzi, D. (2023). A comprehensive review of water quality indices (WQIs): History, models, attempts and perspectives. Reviews in Environmental Science and Biotechnology, 22(2), 349–395. https://doi.org/10.1007/s11157-023-09650-7
- Chinwendu, E., Nweke, B., Osere, J., & Ihunwo, C. K. (2020). Water quality index for the assessment of selected borehole water quality in Rivers State. European Journal of Environment and Earth Sciences, 1(6). https://doi.org/10.24018/ejgeo.2020.1.6.101
- Etim, E. E., Odoh, R., Itodo, A. U., Umoh, S. D., & Lawal, U. (2013). Water quality index for the assessment of water quality from different sources in the Niger Delta region of Nigeria. Frontiers in Science, 3(3), 89–95. https://doi.org/10.5923/j.fs.20130303.02
- Hoque, J. M. Z., Aziz, N. A. A., Alelyani, S., Mohana, M., & Hosain, M. (2022). Improving water quality index prediction using regression learning models. International Journal of Environmental Research and Public Health, 19(20), 13702. https://doi.org/10.3390/ijerph192013702
- Kalagbor, I. A., Echem, O. G., & Banwo, E. (2021). Water quality assessment of Ntawogba Stream in Port Harcourt metropolis, Rivers State, Nigeria. International Journal of Water Resources and Environmental Engineering, 13(1), 76–87. https://doi.org/10.5897/IJWREE2020.0926
- Kizar, F. M. (2018). A comparison between weighted arithmetic and Canadian methods for a drinking water quality index at selected locations in Shatt Al-Kufa. IOP Conference Series: Materials Science and Engineering, 433(1), 012026. https://doi.org/10.1088/1757-899X/433/1/012026
- Kumar, A., & Dua, A. (2009). Water quality index for assessment of water quality of River Ravi at Madhopur (India). Global Journal of Environmental Sciences, 8(1), 49–57.
- Olayiwola, O., & Fasakin, O. (2016). The use of water quality index method to determine the potability of surface water and groundwater in the vicinity of a municipal solid waste dumpsite in Nigeria. American Journal of Engineering Research, 5(10), 96–101.
- Onyeugbo, J., Obunwo, C. C., Ubong, I., & Amaibi, P. (2021). Determination of the water quality index (WQI) of Okulu River in Eleme, Rivers State, Nigeria. Journal of Basic Physical Research, 10(1).
- Patel, D. D., Mehta, D. J., Azamathulla, H. M., Shaikh, M. M., Jha, S., & Rathnayake, U. (2023). Application of the weighted arithmetic water quality index in assessing groundwater quality: A case study of the South Gujarat region. Water, 15(19), 3512. https://doi.org/10.3390/w15193512
- Turney, S. (2022). Null & alternative hypotheses: Definitions, templates & examples. Scribbr. https://www.scribbr.com/statistics/null-and-alternative-hypotheses/
- Zotou, I., Tsihrintzis, V. A., & Gikas, G. D. (2020). Water quality evaluation of a lacustrine water body in the Mediterranean based on different water quality index (WQI) methodologies. Journal of Environmental Science and Health, Part A, 55(5), 1–12. https://doi.org/10.1080/10934529.2019.1710956
This study examined the influence of physicochemical parameters on the Water Quality Index percentage
(WQI%) of groundwater and selected surface water sources in Rivers State, Nigeria. The research was conducted as a
follow-up to earlier water quality assessments carried out in selected cities within the state, where significant variations in
WQI% values were observed depending on whether all water quality parameters or only heavy metal parameters were
considered. This observation prompted further investigation to better understand the individual and collective contributions
of each parameter to the overall WQI outcome.
Water samples were collected from groundwater sources and selected rivers across different locations in Rivers State,
and laboratory analyses were carried out around March 2022. The parameters analyzed included pH, temperature,
electrical conductivity, turbidity, total dissolved solids (TDS), hardness, chloride, nitrate, phosphate, biological oxygen
demand (BOD), chemical oxygen demand (COD), dissolved oxygen (DO), and heavy metals such as lead (Pb), mercury (Hg),
cadmium (Cd), copper (Cu), chromium (Cr), and manganese (Mn), as well as microbiological indicators including
Escherichia coli and total coliforms.
The Weighted Arithmetic Water Quality Index (WAWQI) method was used to compute WQI% values under two
conditions: first, by considering all analyzed parameters, and second, by excluding parameters with zero or negligible values
(≤0.0001). The comparison of results highlights the sensitivity of WQI% to parameter selection and underscores the
importance of comprehensive parameter inclusion in water quality assessment.
Keywords :
Water Quality Index (WQI), physicochemical parameters, groundwater, surface water, heavy metals, Rivers State, Nigeria.