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Study of the Physico-Chemical Parameters of Surface Water Resources in the Oued Ansegmir Watershed Area (Morocco)

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This study aims to analyze the physico-chemical parameters of 11 water samples to establish a qualitative description of water resources and assess their suitability for agricultural irrigation in the Oued Ansegmir (OAW) catchment area (1060 km2). The study involved the collection and analysis of water samples, focusing on cations and anions. Hydrogeochemical classification diagrams, including trilinear Piper and Scholler-Berkaloff diagrams, were modeled using Diagrammes software. A multivariate statistical method, principal component analysis (PCA), was employed to evaluate the physico-chemical parameters. The water quality index (WQI) was calculated for all samples to provide a comprehensive assessment of water quality. The Schöeller Berkaloff diagram indicated the presence of a sodium chloride facies (S1, S4) and a calcium bicarbonate facies for the remaining samples. The Piper diagram revealed a potassium sulphate-chloride facies and a calcium and magnesium bicarbonate facies. PCA identified two main factors: salinity and ion concentration (PC1), and the distinction between geochemical influences and potential human impacts (PC2). The WQI results showed that 36.4% of the water samples were of good quality, while 63.6% were of poor quality. To the best of our knowledge, this is the first study that examined water quality of OAW for agricultural purposes. Our results clearly indicate the suitability of OAW water resources for agricultural irrigation, while providing essential and relevant information for agricultural practices along Oued Ansegmir.
Twórcy
  • Laboratory of Natural Resources Geosciences, Department of Geology, Faculty of Sciences, Ibn Tofail University, B.P.133, 14000 Kenitra, Morocco
  • Laboratory of Natural Resources Geosciences, Department of Geology, Faculty of Sciences, Ibn Tofail University, B.P.133, 14000 Kenitra, Morocco
  • Laboratory of Natural Resources Geosciences, Department of Geology, Faculty of Sciences, Ibn Tofail University, B.P.133, 14000 Kenitra, Morocco
autor
  • Laboratory of Natural Resources Geosciences, Department of Geology, Faculty of Sciences, Ibn Tofail University, B.P.133, 14000 Kenitra, Morocco
Bibliografia
  • 1. Benariba H., Mohammed H., Boutkhil M., Moulla A.S., 2022, Assessment of surface water quality in a semi-arid Mediterranean region. Water Practice & Technology 17(12). DOI: 10.2166/wpt.2022.040.
  • 2. Laghzal A., Salmoun F., Boudinar B., Khaddor M., Cherroud S., Fihri M., Mammad C., 2016. Evaluation of physico-chemical and bacteriological quality of water springs by using a principal component analysis (PCA): A case study of Tingitane Peninsula (Morocco). J. Mater. Environ. Sci. 7 (2), 456–462.
  • 3. Egbueri J.C., Mgbenu C.N, Chukwu C.N., 2019, Investigating the hydrogeochemical processes and quality of water resources in Ojoto and environs using integrated classical methods. Modeling Earth Systems and Environment, DOI: 10.1007/s40808-019-00613-y.
  • 4. El Moustaine R., Chahlaoui A., Rour E., Bengoumi D., Belghiti M., 2013, Study of the physico-chemical and bacteriological water quality of some wells and springs by using a principal component analysis (PCA): A case study from Meknes area, (Morocco), les technologies de laboratoire, 8(33), http://eprints.umi.ac.ma/id/eprint/946
  • 5. El-Fadeli S., Bouhouch R., Benmazhar H., Barkouch Y., Zimmermann M.B., A. Sedki, 2015, Characterization of physico-chemical and mineralogical quality of drinking water from four areas of the city of Marrakech, Morocco. J. Mater. Environ. Sci. 6(9), 2437–2445.
  • 6. Masood A., Aslam M., Pham Q., Warish K., Masood S., 2021. Integrating water quality index, GIS and multivariate statistical techniques towards a better understanding of drinking water quality. Environmental Science and Pollution Research. 29. DOI: 10.1007/s11356-021-17594-0.
  • 7. Prabodha K.M., Gautam Y.P., Prerna S., Ajay K. 2015. Evaluation of water quality of Ganges River using water quality index tool. Environment Asia, 8(1), 124–132 DOI: 10.14456/ea.2015.15.
  • 8. Rahoui H., Labriki A., Bejjaji Z., Chakiri S. 2024. Impact of climate conditions on the water potential of the River Ansegmir Watershed (Morocco), Ecol. Eng. Environ. Technol. 25(10), DOI: 10.12912/27197050/191362.
  • 9. Syeed M., Hossain S., Karim 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). DOI: 10.1016/j.indic.2023.100247.
  • 10. Ukah B.U., Ameh P.D., Egbueri J.C., Unigwe C.O., Ubido O.E. 2019. Impact of efuent-derived heavy metals on the groundwater quality in Ajao industrial area, Nigeria: An assessment using entropy water quality index (EWQI). International Journal of Energy and Water Resources, 4(9). DOI: 10.1007/s42108-020-00058-5.
  • 11. Yang W., Zhao Y., Wang D., Wu H., Lin A., He L. 2020. Using principal components analysis and IDW interpolation to determine spatial and temporal changes of surface water quality of Xin’anjiang River in Huangshan, China. International Journal of Environmental Research and Public Health, 17, 2942. DOI: 10.3390/ijerph17082942.
  • 12. Yidana S.M., Yidana A. 2010. Assessing water quality using water quality index and multivariate analysis, 59, 1461–1473. DOI: 10.1007/s12665-009-0132-3.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-30a1b5c6-7e3f-44c4-be4d-cc8e859c6651
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