Assessment of Surface Water Quality in Zaria Metropolis: Implications for Environmental Health and Sustainable Management
Keywords:
Water quality index, physicochemical parameters, Analysis of variance, CorrelationAbstract
Communication in Physical Sciences, 2024, 11(3): 438-449
Authors: Uba Sani., Abdulkadir Ibrahim., Akande, Esther Oluwatoyosi .,John, Oghenetega Mercy., Murtala, Mohammed Rumah.
Received: 13 January 2024/Accepted: 08 June 2024
Surface water bodies, including rivers, dams, and lakes, are integral to urban development and human life, supporting both urban residents and rural agricultural sectors. However, rapid population growth, urbanization, and industrialization have posed significant threats to water quality worldwide. Industrial discharges, in particular, contribute to water pollution, notably with toxic heavy metals. Assessing water quality involves monitoring various physicochemical parameters, which can be laborious and challenging. Therefore, this study employs statistical correlation analysis to understand the interrelationships among water quality parameters, aiming to simplify water quality assessment. Water samples were collected from Shika, Galma, and Ahmadu Bello University (ABU) dams in Zaria, Nigeria, and analysed for various parameters. Results showed that dissolved oxygen (DO) levels ranged from 1.37 to 3.67 mg/L, biochemical oxygen demand (BOD) ranged from 0.47 to 1.83 mg/L, and pH varied from 4.33 to 6.93 across different sampling points. Turbidity ranged from 65.27 to 152.20 NTU, total dissolved solids (TDS) ranged from 30.67 to 956.33 mg/L, and total suspended solids (TSS) ranged from 16.67 to 170.00 mg/L. Electrical conductivity (EC) varied from 62.97 to 1888.33 µs/cm, alkalinity (ALK) ranged from 14.00 to 28.00 mg/L, and chemical oxygen demand (COD) ranged from 93.30 to 123.30 mg/L. Sulphate (SO4) concentrations ranged from 381.70 to 568.30 mg/L, nitrate (NO3-) ranged from 9.00 to 26.00 mg/L, and phosphate (PO4) ranged from 0.12 to 0.61 mg/L. Statistical analysis revealed significant correlations among these parameters, indicating complex relationships within the aquatic ecosystem. Additionally, the analysis of variance (ANOVA) showed significant differences in water quality among sampling points, suggesting the influence of diverse pollution sources. Furthermore, the Water Quality Index (WQI) was calculated to assess the overall water quality status, indicating poor to unfit conditions for consumption across the studied locations. These findings underscore the urgent need for effective water management strategies to safeguard surface water quality for current and future generations.
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References
Aksoy, H. (2020). Surface water. Water resources of Turkey, 127-158.
Gupta, G., & Orbán, A. (2018). Water is life, life is water: (Un)sustainable use and management of water in the 21st century. Corvinus Journal of Sociology and Social Policy, 9(1), 81–100. https://doi.org/10.14267/cjssp.2018.1.04
Khatri, N., & Tyagi, S. (2014). Influences of natural and anthropogenic factors on surface and groundwater quality in rural and urban areas. Frontiers in Life Science, 8(1), 23–39. https://doi.org/10.1080/21553769.2014.933716
Grey, D. R., & Sadoff, C. (2007). Sink or Swim? Water security for growth and development. Water Policy, 9(6), 545–571. https://doi.org/10.2166/wp.2007.021
Saha, P., & Paul, B. (2018). Assessment of heavy metal toxicity related with human health risk in the surface water of an industrialized area by a novel technique. Human and Ecological Risk Assessment, 25(4), 966–987. https://doi.org/10.1080/10807039.2018.1458595
Ebenstein, A. (2012). The Consequences of Industrialization: Evidence from Water Pollution and Digestive Cancers in China. The Review of Economics and Statistics, 94(1), 186–201. https://doi.org/10.1162/rest_a_00150
Syeed, M. M. M., Hossain, M. S., Karim, M. R., Uddin, M. F., Hasan, M., & Khan, R. H. (2023). Surface water quality profiling using the water quality index, pollution index and statistical methods: A critical review. Environmental and Sustainability Indicators, 18, 100247. https://doi.org/10.1016/j.indic.2023.100247
Carpenter, S. R., Stanley, E. H., & Zanden, M. J. V. (2011). State of the world’s freshwater ecosystems: physical, chemical, and biological changes. Annual Review of Environment and Resources, 36(1), 75–99. https://doi.org/10.1146/annurev-environ-021810-094524
Parkes, M. W. (2006). Personal commentaries on “Ecosystems and Human Well-being: Health Synthesis—A Report of the Millennium Ecosystem Assessment.” Ecohealth, 3(3), 136–140. https://doi.org/10.1007/s10393-006-0038-4
Rossi, G. (2015). Achieving ethical responsibilities in water management: A challenge. Agricultural Water Management, 147, 96–102. https://doi.org/10.1016/j.agwat.2014.07.030
Smith, R. A., Schwarz, G. E., & Alexander, R. B. (1997). Regional interpretation of water‐quality monitoring data. Water Resources Research, 33(12), 2781–2798. https://doi.org/10.1029/97wr02171
Saalidong, B. M., Aram, S. A., Otu, S., & Lartey, P. O. (2022). Examining the dynamics of the relationship between water pH and other water quality parameters in ground and surface water systems. PLOS ONE, 17(1), e0262117. https://doi.org/10.1371/journal.pone.0262117
Garizi, A. Z., Sheikh, V., & Sadoddin, A. (2011). Assessment of seasonal variations of chemical characteristics in surface water using multivariate statistical methods. International Journal of Environmental Science and Technology, 8(3), 581–592. https://doi.org/10.1007/bf03326244
Dinka, M. O. (2022). Statistical analysis of groundwater quality at Wonji Shoa Sugar Estate. (2024). Journal of Water and Land Development. https://doi.org/10.24425/jwld.2022.140778
Singh, N., Jadon, R., & Sultana, F. Assessing variation in physicochemical characteristics of groundwater of Digod Tehsil of Kota District of Rajasthan, India, using statistical correlation study. (2014). Chemical Science Transactions. https://doi.org/10.7598/cst2014.931
Schroeder, R. G., & Benbasat, I. (1975). An experimental evaluation of the relationship of uncertainty in the environment to information used by decision makers. Decision Sciences, 6(3), 556–567. https://doi.org/10.1111/j.1540-5915.1975.tb01043.x
Tanko, J. A., Oluwadamisi, E. A., & Abubakar, I. K. (2012). Agrochemical concentration level in Zaria Dam reservoir and ground waters in the environs. Journal of Environmental Protection, 03(02), 225–232. https://doi.org/10.4236/jep.2012.32028
Mohammed, A., Musa, Y. M., & Naziru, H. (2020). Original Research Article Determination of Physicochemical and Bacteriological Quality of Water for Irrigation Purpose: A Case Study of Shika Dam, Zaria, Kaduna State, Nigeria.
Okon, I. E., Anweting, I. B., & Nwokem, N. A. (2022). A study on heavy metals pollution levels in water and sediment of River Kubani Dam, Zaria, Nigeria. Pac. j. sci. technol, 23(2), 107-116.
Tang, M., Zeng, H., & Wang, K. (2022). Bayesian Water Quality Evaluation Model Based on Generalized Triangular Fuzzy Number and its Application. Environmental Processes, 9(1). https://doi.org/10.1007/s40710-022-00562-2
Schober, P., Boer, C., & Schwarte, L. A. (2018). Correlation Coefficients: appropriate use and interpretation. Anesthesia & Analgesia, 126(5), 1763–1768. https://doi.org/10.1213/ane.0000000000002864
Akan, J. C., Mohmoud, S., Yikala, B. S., & Ogugbuaja, V. O. (2012). Bioaccumulation of Some Heavy Metals in Fish Samples from River Benue in Vinikilang, Adamawa State, Nigeria. American Journal of Analytical Chemistry, 03(11), 727–736. https://doi.org/10.4236/ajac.2012.311097
Patra, J. K., Das, G., Das, S. K., & Thatoi, H. (2020). Isolation, culture, and biochemical characterization of microbes. In Learning materials in biosciences (pp. 83–133). https://doi.org/10.1007/978-981-15-6252-5_4
Ba, C. (2003). A review of dissolved oxygen modelling techniques for lowland rivers. Science of the Total Environment, 314–316, 303–334. https://doi.org/10.1016/s0048-9697(03)00062-7
Godwin Abuh, E., & Ansari, A. A. (2016). Assessment of Physico-Chemical Quality of Water in Aliero Dam (Kebbi State, Nigeria). International Journal of Climate Research, 1(1), 17-21.
Rabiu, H. D., Umar, L. M., Sulaiman, I., Madina, M., & Abubakar, A. I. (2018). Assessment of the water quality of watari Dam, Kano State using selected physicochemical parameters. ASSESSMENT, 4(5).
Cossu, R., Forrest, A. L., Roop, H. A., Dunbar, G. B., Vandergoes, M. J., Levy, R. H., ... & Schladow, S. G. (2015). Seasonal variability in turbidity currents in Lake Ohau, New Zealand, and their influence on sedimentation. Marine and Freshwater Research, 67(11), 1725-1739.
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