A Number Description of Ghanaian Water Quality—A Case Study of the Southwestern and Coastal Rivers Systems of Ghana

Abstract

The CSIR Water Research Institute undertook water quality monitoring and assessment of the Southwestern and the Coastal Rivers Systems of Ghana from 2005 to 2008 for the Water Resources Commission of Ghana (WRC) under WRIS II Project, a Danish Government Funded Project. The Southwestern and the Coastal Rivers Systems cover approximately 30% of the total drainage basins of Ghana. A total of 19 surface water stations were selected for the monitoring programme. The Adapted Water Quality Index (WQI) was to be used as a tool to classify the overall ambient water quality at the 19 different stations. The index classified water quality into one of four categories: good (Class I, >80), fairly good (Class II, 50 - 80), poor (Class III, 25 - 50), and grossly polluted (Class IV, <25). This paper presents the Water Quality Index approach to the assessment of water quality of the waters in the different stations during the period of study. These ten water quality parameters were used to determine the water quality index (WQI): Dissolved Oxygen (DO % Saturation), Biochemical Oxygen Demand (BOD), Ammonium Nitrogen (NH4-N), Faecal Coliform (FC), pH, Nitrate as Nitrogen (NO3-N), Phosphate as Phosphorus (PO4-P), Total Suspended Solids (TSS), Conductivity and Temperature. Evaluation of the waters with the WQI indicated that most Ghanaian waters are currently in Class II, the fairly good water quality state, but with variations in this range within the seasons and stations, and from one water body to the other. Potroase in the Densu basin had the best water quality during the study period while Nsawam had the poorest. Efforts should be made to prevent further pollution of the waters to improve their quality.

Share and Cite:

H. Darko, O. Ansa-Asare and A. Paintsil, "A Number Description of Ghanaian Water Quality—A Case Study of the Southwestern and Coastal Rivers Systems of Ghana," Journal of Environmental Protection, Vol. 4 No. 11, 2013, pp. 1318-1327. doi: 10.4236/jep.2013.411153.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] A. A. Bordalo, W. Nilsumranchit and K. Chalermwat, “Water Quality and Uses of the Bangpakong River (Eastern Thailand),” Water Resources, Vol. 35, No. 15, 2001, pp. 3635-3642.
http://dx.doi.org/10.1016/S0043-1354(01)00079-3
[2] S.-M. Liou, S.-L. Lo and S.-H. Wang, “A Generalized Water Quality Index for Taiwan,” Environmental Monitoring and Assessment, Vol. 96, No. 1-3, 2004, pp. 35-52.
http://dx.doi.org/10.1023/B:EMAS.0000031715.83752.a1
[3] S. Ramesh, N. Sukumaran, A. G. Murugesan and M. P. Rajan, “An Innovative Approach of Drinking Water Quality Index—A Case Study from Southern Tamil Nadu, India,” Ecological Indicators, Vol. 10, No. 4, 2010, pp. 857-868. http://dx.doi.org/10.1016/j.ecolind.2010.01.007
[4] A. Lermontov, L. Yokoyama, M. Lermontov and M. A. S. Machado, “River Quality Analysis Using Fuzzy Water Quality Index: Ribeira do Iguape River Watershed, Brazil,” Ecological Indicators, Vol. 9, No. 6, 2009, pp. 1188-1197. http://dx.doi.org/10.1016/j.ecolind.2009.02.006
[5] M. Saeedi, O. Abessi, F. Sharifi and H. Meraji, “Development of Groundwater Quality Index,” Environmental Monitoring and Assessment, Vol. 163, No. 1-4, 2010, pp. 327-335. http://dx.doi.org/10.1007/s10661-009-0837-5
[6] National Sanitation Foundation International, 2007, In: A. Lermontov, L. Yokoyama, M. Lermontov and M. A. S. Machado, “River Quality Analysis Using Fuzzy Water Quality Index: Ribeira Do Iguape River Watershed, Brazil,” Ecological Indicators, Vol. 9, No. 6, 2009, pp. 1188-1197.
[7] Canadian Council of Ministers of the Environment, 2012.
http://www.ccme.ca/initiatives/waterfaqs.html
[8] S. G. Nives, “Water Quality Evaluation by Index in Dalmatia,” Water Resources, Vol. 33, No. 16, 1999, pp. 3423-3440.
http://dx.doi.org/10.1016/S0043-1354(99)00063-9
[9] M. Terrado, E. Borrell, S. de Campos, S. Barcelo D. and R. Tauler, “Surface-Water-Quality Indices for the Analysis of Data Generated by Automated Sampling Networks,” Trends in Analytical Chemistry, Vol. 29, No. 1, 2010, pp. 40-52. http://dx.doi.org/10.1016/j.trac.2009.10.001
[10] E. Sanchez, M. F. Colmenarejo, J. Vicente, A. Rubio, M. G. Garcia, L. Travieso and L. Borja, “Use of the Water Quality Index and Dissolved Oxygen Deficit as Simple Indicators of Watersheds Pollution,” Ecological Indicators, Vol. 7, No. 2, 2007, pp. 315-328.
http://dx.doi.org/10.1016/j.ecolind.2006.02.005
[11] O. D. Ansa-Asare, “Do Diurnal Dissolved Oxygen Cycles Have Diagnostic Value for Assessing Pollution Status in Lakes?” PhD Thesis, Department of Chemistry, University of Aberdeen, Scotland, 1998.
[12] “Ghana Raw Water Quality Criteria and Guidelines, Adapted Weighted Raw Water Quality Index Application to Ghanaian River Systems,” Water Resources Commission, Accra, 2003.
[13] “Water Resources Management Study—Information Building Blocks Study,” Final Report, Ministry of Works and Housing, Accra, 1998.
[14] American Public Health Association (APHA), “Standard Methods for the Examination of Water and Wastewater,” 20th Edition, American Public Health Association (APHA), Washington DC, 1998.
[15] “Ghana Raw Water Quality Criteria and Guidelines, Volume 1, Domestic Water-Use,” Water Resources Commission, Accra, 2003.
[16] “Ghana Raw Water Quality Criteria and Guidelines, Volume 5, Aquaculture Water-Use,” Water Resources Commission, Accra, 2003.
[17] B. V. Raman, B. Reinier and S. Mohan, “Fuzzy Logic Water Quality Index and Importance of Water Quality Parameters,” Air, Soil and Water Research, Vol. 2, 2009, pp. 51-59.
[18] D. Chapman, “Water Quality Assessments: A Guide to the Use of Biota, Sediments and Water in Environmental Monitoring,” 2nd Edition, Cambridge University Press, Cambridge, 1996.

Copyright © 2023 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.