Abstract
Surface water quality is a vital issue worldwide due to increasing population and development plans. The objective of this study is to develop a statistical approach for assessing irrigation water canals through monitoring pollutant concentrations and a water quality index. Water samples were collected monthly for the two years 2012/2013 and 2013/2014, from fixed locations along the studied canals in Eastern Delta as a case study. The statistical approach used in this work includes weighted arithmetic water quality index (WAWQI), hierarchical clustering analysis (HCA) and principal component/factor analysis (PC/FA). The study revealed that according to the cluster analysis considering WAWQI, 61.11% of the monitoring locations were grouped under cluster A which has the best water quality among the cluster groups. Furthermore, the results of the principal component analysis identified five principal components which were responsible for 81.24% of water quality status in the studied locations. The results obtained from this study can assess the decision makers in applying water quality strategy to control the presence of pollutants from different sources.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Abdel-Dayem, S. (2011). Water quality management in Egypt. International Journal of Water Resources Development, 27(1), 181–202. https://doi.org/10.1080/07900627.2010.531522.
Balan, I., Madan Kumar, P., & Shivakumar, M. (2012). An assessment of groundwater quality using water quality index in Chennai, Tamil Nadu, India. Chronicles of Young Scientists, 3(2), 146–150. https://doi.org/10.4103/2229-5186.98688.
Brown, R. M., McCleiland, N. J., Deininger, R. A., O’Connor, M. F. (1972). A water quality index—crossing the psychological barrier. In S. H. Jenkis (Ed.), Proceedings of International Conference on Water.
CCME. (2001). Canadian Environmental Quality Guidelines for the Protection of Aquatic Life, CCME Water Quality Index: technical report, 1.0.
Chauhan, A., & Singh, S. (2010). Evaluation of Ganga water for drinking purpose by water quality index at Rishikesh, Uttarakhand, India. Report Opinion, 2(9), 53–61.
Chowdhury, R. M., Muntasir, S. Y., & Hossain, M. M. (2012). Water quality index of water bodies along Faridpur-Barisal road in Bangladesh. Global Engineers and Techologists Review, 2(3), 1–8.
Dunnette. (1979). A geographically variable water Quality Index used in Oregon. Journal Water Pollution Control Federation, 51(1), 53–61.
Elshemy, M. (2016). Water quality assessment of Lake Manzala, Egypt: a comparative study. International Journal of Scientific Research in Environmental Sciences, 4(6), 196–207. https://doi.org/10.12983/ijsres-2016-p0196-0207
Goher, M. E., Hassan, A. M., Abdel-Moniem, I. A., Fahmy, A. H., & El-Sayed, S. M. (2014). Evaluation of surface water quality and heavy metal indices of Ismailia Canal, Nile River, Egypt. Egyptian Journal of Aquatic Research, 40(3), 225–233.
Howladar, M. F., Al Numanbakth, Md. A., & Faruque, M. O. (2017). An application of water quality index (WQI) and multivariate statistics to evaluate the water quality around Maddhapara Granite Mining Industrial Area, Dinajpur, Bangladesh. Environmental Systems Research, 6(1), 6–13. https://doi.org/10.1186/s40068-017-0090-9
Liu, C. W., Lin, K. H., & Kuo, Y. M. (2003). Application of factor analysis in the assessment of groundwater quality in a blackfoot disease area in Taiwan. Science of the Total Environment, 313(1–3), 77–89.
Manju, E. K., George, A. V., & Rekha, V. B. (2014). A comparative study of water quality index (Wqi) of Vagamon and peermade sub-watersheds of Meenachil and Pamba River basins of Western Ghats, Kerala, South India. IOSR Journal of Environmental Science, Toxicology and Food Technology, 8(1), 53–58. https://doi.org/10.9790/2402-08125358.
MWRI. (2013). Egyptian Ministry of Water Resources and irrigation, law 48/1982, Protection of the River Nile and Waterways from Pollution “Decree No. 49” (2013) in the amended executive regulations of the law by Minister Decision No. 92/2013. (Arabic Edition).
Oketola, A. A., Adekolurejo, S. M., & Osibanjo, O. (2013). Water quality assessment of river ogun using multivariate statistical techniques. Journal of Environmental Protection, 4(5), 466–479. https://doi.org/10.4236/jep.2013.45055.
Rao, C. S., Rao, B. S., Hariharan, A. V. L. N. S. H., & Bharathi, N. M. (2010). Determination of water quality index of some areas in Guntur district Andhra Pradesh. International Journal of Applied Biology and Pharmaceutical Technology, I(1), 79–86.
Rown, R. M., McCleiland, N. J., Deiniger, R. A., & O’Connor, M. F. A. (1972). Water quality index—Crossing the physical barrier. In S. H. Jenkis (Ed.), Proceedings in International Conference on water pollution Research Jerusalem, Vol. 6, pp. 787–797.
Shaban, M. (2017). Statistical framework to assess water quality for irrigation and drainage canals. Irrigation and Drainage, 66(1), 103–117. https://doi.org/10.1002/ird.2042.
Singh, K. P., Malik, A., Mohan, D., & Sinha, S. (2004). Multivariate statistical techniques for the evaluation of spatial and temporal variations in water quality of Gomti River (India)—A case study. Water Research, 38(18), 3980–3992.
Shrestha, S., & Kazama, F. (2007). Assessment of surface water quality using multivariate statistical techniques: A case study of the Fuji river basin, Japan. Environmental Modelling and Software, 22(4), 464–475.
Simeonov, V., Stratis, J. A., Samara, C., Zachariadis, G., Voutsa, D., Anthemidis, A., et al. (2003). Assessment of the surface water quality in Northern Greece. Water Research, 37(17), 4119–4124.
Tripathy, J. K., & Sahu, K. C. (2005). Seasonal hydrochemistry of groundwater in the barrier spit system of the Chilika Lagoon, India. Journal of Environmental Hydrology, 13, 1–9.
Tyagi, S., Sharma, B., Singh, P., & Dobhal, R. (2013). Water quality assessment in terms of water quality index. American Journal of Water Resources, 1(3), 34–38. https://doi.org/10.12691/ajwr-1-3-3.
Vadde, K. K., Wang, J., Cao, L., Yuan, T., McCarthy, A. J., & Sekar, R. (2018). Assessment of water quality and identification of pollution risk locations in TiaoxiRiver(Taihu Watershed), China. Water (Switzerland), 10(2), 183. https://doi.org/10.3390/w10020183
WHO (World Health Organization). (2017). World Water Day Report. Available at: www.who.int/water_sanitation_health/takingchange.html
Yousry, M. M., & El Gammal, H. A. A. (2015). Factor analysis as a tool to identify water quality index parameters along the Nile River, Egypt. Journal of American Science, 11(2), 36–44. https://free-journal.umm.ac.id/files/file/005_27939am110215_36_44.pdf
Acknowledgements
The authors are grateful to the staff of the Drainage Research Institute (DRI), special thanks to Professor Dr. Esam Khalifa and Professor Dr. Hussein El Gammal Director of the institute for their continuous support and making all the required data available.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Hasan, E.A., Aly, M.M., Abd El Hamid, A.M.I. (2021). Statistical Approach for Water Quality Evaluation of Irrigation Canals in Egypt. In: Al-Maktoumi, A., et al. Water Resources in Arid Lands: Management and Sustainability. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-030-67028-3_1
Download citation
DOI: https://doi.org/10.1007/978-3-030-67028-3_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-67027-6
Online ISBN: 978-3-030-67028-3
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)