Umar Shehu Sarki, Amir Abdulazeez, Abubakar Ibrahim Tukur


The aim of the study is to evaluate water quality along river Salanta with a view to identifying the spatial variation resulting from the Sharada industrial and residential areas and its implication for irrigation at the downstream area. Three sampling fluvial reaches representing each land uses were purposively selected of each another 3 samples were systematically collected making a total of nine sampling points along the transects running along the river This was necessary in order to have a good representation of water quality used for fadama cultivation. The sampling standard method prescribed by American Public Health Association (APHA, 2005) was followed carefully. Statistical models such as Analysis of Variance (ANOVA) were used to test the research hypothesis stating there is significant spatial variation in water quality across the three different land uses. Result of ANOVA shows significance spatial difference in the concentration of parameters across the three different land uses (P ≥ 0.05). Concentration of all physical parameters investigated fall within the acceptable standard limit for irrigation. Similarly, with the exception of K, the concentration of all other major ions (Ca, Mg and Na) falls within the acceptable limit for irrigation). Further, PO4, Pb, Cr and NH4 were found to be unsuitable for irrigation among the heavy metals investigated. The results obtained are potentially useful to assist policy makers in understanding the complex nature of water quality issues and also to assess the priorities to improve water quality in the basin.


fadama, irrigation, land uses, variation, water quality.

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Akinyemi, J. O. & Souley, S. O. (2014), Monitoring the Water Quality of Some Sources of irrigation Water in Different Part of Ogun State, Nigeria, 2014 International Conference on Environmental Systems Science and Engineering, IERI Procedia 9 (2014) 123-128

APHA (2005). Standard Methods for the Examination of Water and Wastewater. Vol.2. (1st ed). American Public Health Association, American Water Workes Association, Water Environment Federation, Washigton DC

Aris, A. Z., Praveena, S. M., Abdullahi, M. H., and Radojevic, M. (2011), Statistical Approaches and Hydrochemical Modeling of Groundwater System in Small Tropical Island. Journal of Hydroinormatics


Baba, A., Tyfur, G. (2011). Groundwater Contamination and its Effect on Health in Turkey. Environ. Monit. Assess. 2011 183, 77–94. 11.

Blumenthal, U. and. Peasey, A. (2002). Critical review of epidemiological evidence of the health effects of wastewater and excreta use in agriculture. Geneva: World Health Organization.

Bouwer, H. (1987). Soil-aquifer treatment of sewage. Rome: Land and Water Development Division, Food and Agriculture Organization of the United Nations (FAO).

Burun, B., Tuna, A. L., Yokas, I. and. Ege, H. (2006) Some soil properties of lime stabilized urban waste- water and effects on barley’s yield and mineral matter contents. Journal of Agronomy, 5: 37-44.

Delpla I, Jung AV, Baures, E, Clement M, Thomas O (2009) Impact of climate change on surface water quality in relation to drinking water production. Environ Int 35(8):1225 – 1233.

FAO. (1985). Soil Bulletin 55, Guidelines: land Evaluation for Irrigated Agriculture. Agriculture Organization of the United Nation. Roma, Italy.

Gaya, M.S., Abba, S.I., Abdu, A.M., Tukur, A.I., Saleh, M.A., Esmaili, P., Abdul Wahab, N. 2020. Estimation of water quality index using artificial intelligence approaches and multi-linear regression, IAES Journal of Artificial Intelligence, 9(1), pp. 126~134, DOI: 10.11591/ijai.v9.i1.pp126-134

Kura, N.U. (2014), Groundwater Vulnerability Study and Optimization of Seawater Intrusion Assessment Techniques in Kapas Island, Malaysia.Phd Thesis, University Putra Malaysia.

Kura, N.U., Ramli, M.F., Sulaiman, W.N.A., Ibrahim, S., Aris, A.Z. and Mustapsa, A. (2013). Evaluation of factors influencing the ground water chemistry in a small tropical island of Malaysia. Int J Environ Public Health 10:1861-1881.

Lu, X., Wang, L., Li, L., Y., Lei, K., Huang, L., and Kang, D. (2010).Multivariate statistical analysis of heavy metals in street dust of Baoji, NW China. Journal of Harzadous Materials 173 (1): 744749.

Mays, L.W. (2009). Integrated Urban Water Management: Arid and Semi-Arid Regions; Tylor and Fransis Group plc: Leiden, The Netherlands; UNESCO Publishing: Paris, France, 2009; pp. 1– 73.

Millennium Development Goals Report.United Nations Newyork. Available online: http://www.un. org/zh/millenniumgoals/pdf/MDGReport2006.pdf (accessed on 12 December 2016).

Mustapha, A., Ariz, A. Z., Yusuf, F.M., Zakariyya, M. P., Ramli, M .F., Abdullah, A. M., Kura, N .U.

and Narani, T. S. (2014 ). Statistical Approach in Determining the Spatial Changes of Surface Water Quality at the upper Course of Kano River, in Nigeria, journal in water Quality, exposure and Health, 6 (3), ISSN: 1876-1658, DOI 10.1007/s12403-014-0117-7.

Mustapha, A. Ariz, A.Z. and Ramli, M.F. (2013).Surface water quality contamination source apportionment and physicochemical characterization at upper section of the Jakara Basin, Nigeria.Arabian journal of Geosciences. ISSN 1866-7511(6):12.

Mustapha, A. and Nabegu, A.B (2011). Surface water pollution sources identification using principal component and factor analysis in Getsi River, Kano, Nigeria. Aust J Basic ApplSci 5:15071512.

Murillo, J. M., López, R., Fernández, J. E. and Cabrera, F. (2000).Olive tree response to irrigation with wastewater from the table olive industry. Irrigation Science, 19: 175-180.

Nakoma, O., Chidya, R.C.G, Matamula, S,. Chawinga, C.B.J., 2016. Evaluation of borehole water quality in rural-areas of northern Malawi: case of Zombwe inMzimba, Physics and Chemistry of the Earth, DOI: 10.1016/j.pce.2016.03.013

Narany, T.S., Ramli, F.R., Aris, A.Z., Sulaiman, W.N.A., and Fakharian, K. 2014. Spatiotemporal variation of groundwater quality using integrated multivariate statistical and geostatistical approaches in Amol–Babol Plain, Iran. Environ Monit Assess, DOI 10.1007/s10661-0143820-8

Oron, G., Demalach, Y. Hoffman, Z. and Manor. I. (1992). Effect of effluent quality and application method on agricultural productivity and environmental control. Water Science & Technology 26 (7): 1593– 1601.

Richards, L.A. (1954). Diagnosis and Improving of Saline and Alkali Soils, United State Department of Agriculture, Washington, USA

Salve, P. R., Gobre., T., Lohkare., H., krupadam,. R.J., Bansiwal. A., Ramteke, D.S., and Wate S.R. (2012). Source identification and Variation in the chemical composition of rainwater at coastal and industrial area of India.Journal of Atmospheric Chemistry 68 (3): 183-198.

Tukur A.I., Nabegu, A.B., Umar, D.A., Olofin, E.A., Sulaiman, W.A.S., (2018), Groundwater condition and management in Kano region, northwester Nigeria. Hydrology, 5(16), DOI:10.3390/hydrology5010016

Tukur A.I., Yusuf, M.A, Abdulhamid,A., Umar, D.A, Isiyaka,H.A. and Ramli, M.F. (2020), Groundwater Yield Modeling in the Floodplain of Hadejia, Northwestern Nigeria, Hydrospatial Analysis, 4(1- 2), 29-39, 2020, DOI.ORG/10.21523/GCJ3.2020040103

Umar, D.A., Ramli, M.F., Aris, A.Z., Jamil, N., Tukur, A.I. (2019). Surface water resources management along Hadejia river basin, northwestern Nigeria, H2Open Journal, 2(1), DOI:


World Health Organization, W.H.O and World Water Assessment Programme UNESCO-WWAP (2004). Water for People—Water for Life; The United Nations, World Water Development Report; UNESCO Publishing: Paris, France, 2004.12.


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