Wadi Larbaa’s Water Quality In The North Of Morocco: Statistical Treatment Of Physical And Chemical Parameters

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IJEP 41(1): 11-24 : Vol. 41 Issue. 1 (January 2021)

Full Text

K. Arouya1,2, H. Tabyaoui2, H. Taouil1, J. Naoura2 and S. Ibn Ahmed1*

1. University Ibn-Tofail, Laboratory Materials, Electrochemistry and Environment, Faculty of Sciences, Morocco
2. University Sidi Mohamed Ben Abdellah, Laboratory Natural Resources and Environment, Faculty Polydisciplinary of Taza, Route of Oujda, Taza Station, Morocco

Abstract

This study is part of the characterization of surface water chemistry and the determination of the origin of chemical elements present in the waters of the Taza region of Morocco. To carry out this investigation, 60 samples were collected in July 2017 and January 2018 (30 samples per month). The principal component analysis (PCA) applied to the data sets resulted in three significant factors accounting for 89.46% of the total variance. The F1 factor expresses 53.51% of the total information, called the factor of salinization, water pollution by nitrogen compounds and seasonality. Factors F2 and F3 can be called anthropogenic pollution and seasonality factors. In addition, the stations are well typed and therefore, well structured by their physico-chemical data. In addition, hierarchical cluster analysis (CA) grouped the twenty-five physico-chemical variables studied into five distinct groups related to water-rock interaction, agriculture and anthropogenic sources. Therefore, this work indicates that multivariate statistical methods are an excellent exploratory tool for interpreting a complex set of water quality data and for understanding spatial variations that are useful and effective for water quality management.

Keywords

Multivariate analysis, Surface water, Physico-chemical quality, Northern Morocco

References

  1. Tampo, L., et al. 2018. Application of statistical methods to the hydrochemical study of the waters of a tropical hydrosystem: Case of the watershed of the Zio river (Togo). European Sci. J., 11 (14): 204-225.
  2. Haouchine, S. 2017. Research on faunal quality and ecology of macroinvertebrates benthic watercourses of Kabylia, mem. Magister BioSciences.
  3. Foto, M.S., et al. 2011. Spatial evolution of the diversity of populations of benthic macro-invertebrates in an anthropized stream in a tropical environment (Cameroon). European J. Sci. Res., 55(2): 291-300.
  4. OMS. 2012. Guidelines for drinking water quality (4th edn). World Health Organization, Geneva, Switzerland. pp 307-447.
  5. Iscen, C.F., et al. 2008. Application of multivariate statistical techniques in the assessment of surface water quality in Uluabat Lake, Turkey. Env. Monitor. Assess., 144:269-276.
  6. Mustapha, A. and A. Abdu. 2012. Application of principal component analysis and multiple regression models in surface water quality assessment. J. Env. Earth Sci., 2(2):16-23.
  7. Nourbakhsh, Z. and H. Yousefi. 2017. Presenting a conceptual model of data collection to manage the groundwater quality. J. Water Land Develop., 35:149-160. DOI:10.1515/jwld-2017-0079.
  8. Tiwari, R.N. 2011. Assessment of groundwater quality and pollution potential of Jawa block Rewa district, Madhya Pradesh. Int. Academy Ecol. Env. Sci., 1(3-4):202-212.
  9. El Morhit, M., et al. 2008. Impact of hydraulic development on the quality of water and sediment in the Loukkos estuary (Atlantic coast, Morocco). Bulletin Sci. Institute, Rabat, Earth Sci., 30:39-47.
  10. Belkhiri, L., et al. 2010. Application of multivariate statistical methods and inverse geochemical modeling for characterization of groundwater: A case study of Ain Azel plain (Algeria). Geoderma., 159: 390-398.
  11. Makhoukh, M., et al. 2011. Contribution to the physico-chemical study of surface water from the Moulouya wadi (Eastern Morocco). Larhyss J., 9: 149-169.
  12. Lamrani, H., et al. 2014. Evaluation of the physico-chemical and bacteriological quality of the Boufekrane wadi in the vicinity of the effluents of the city of Meknes (Morocco). ScienceLib Mersenne Editions. 3:111-112.
  13. Belghiti, M.L., et al. 2018. Physico-chemical characteristics of the water from certain wells used as a portable water source in rural areas in the region of Meknes (Morocco). Larhyss J., 14:21-36.
  14. Metrak, M., et al. 2014. Age and landuse as factors differentiating hydrochemistry and plant cover of astatic ponds in post-agricultural landscape. J. Water Land Develop., 21:29-37. DOI: 10.2478/jwld-2014-0011.
  15. Bak, L., et al. 2014. Preliminary assessment of silting and the quality of bottom sediments in a small water reservoir. J. Water Land Develop., 21: 47-53. DOI: 10.2578/jwld-2014-0013.
  16. Soro, T.D. 2017. Evolution of water resources in the Haut Bandama watershed in Tortiya (North ern Côte d’Ivoire) in a context of climate variability and change: Hydrological, hydrogeological and hydrochemical impact. PhD Thesis. Félix University, Houphouet-Boigny, Ivory Coast.
  17. Eblin, S.G., et al. 2016. Hydrochemistry of surface water in the Adiaké region (south-eastern coast of Côte d’Ivoire). J. Appl. Biosci., 75:6259-6271.
  18. Reggam, A., et al. 2015. Physico-chemical quality of the waters of the Oued Seybouse (Northeastern Algeria): Characterization and principal component analysis. J. Mater. Env. Sci., 6(5): 1417-1425.
  19. Al Ahmadi, M.E. 2015. Multivariate statistical analysis of groundwater quality in Wadi Ranyah, Saudi Arabia JAKU. Earth Sci., 21(2): 29-46.
  20. Hachol, J., et al. 2017. Applying the analytical hierarchy process (AHP) into the effects assessment of river training works. J. Water Land Develop., 35: 63-72. DOI: 10.1515/jwld-2017-0069.
  21. Boussaha, S., et al. 2017. Wadi Bounamoussa’s waters quality in the north-east of Algeria: Statistical treatment of some physical and chemical parameters. J. Water Land Develop., 34:77-83. DOI: 10.1515/jwld-2016-0040.
  22. Sayad, L., et al. 2017. Hydrochemical study of Drean–Annaba aquifer system (NE Algeria). J. Water Land Develop., 34(7-9):259-263. DOI: 10.1515/jwld-2017-0061.
  23. Lakhili, F., et al. 2015. Study of the physico-chemical quality and metallic contamination of surface water in the Beht watershed (Morocco). European Sci. J., 11 (11).
  24. Corneille, B., et al. 2017. Physico-chemical characterization of borehole water in the villages of Tanlili and Lilgomdé in the northern region of Burkina Faso – Correlation between the physico-chemical parameters. Africa Sci., 13(6): 325-337.
  25. Diallo, A.D., et al. 2016. The value of statistical analysis methods in the management of monitoring the physico-chemical quality of water on the right bank of the Senegal river. Larhyss J., 17: 101-114.
  26. Ahoussi, K.E., et al. 2017. Hydrochemical and microbiological study of spring water from the mountainous west of Côte d’Ivoire: Case of the village of Mangouin-Yrongouin (sub-prefecture of Biankouman). J. Appl. Biosci., 63: 4703-4719.
  27. Buhungu, S., et al. 2018. Spatio-temporal characterization of the water quality of the Kinyankonge river, tributary of Lake Tanganyika, Burundi. Int. J. Biol. Chem. Sci., 12(1): 576-595.
  28. Mezbour, R., et al. 2018. Evaluation of organic pollution index and the bacteriological quality of the water of the Lake of birds (EL Tarf East-Algerian). J. Mater. Env. Sci., 9(3): 971-979. DOI: 10.26872/jmes.2018.9.3.108.
  29. Taous, A., et al. 2004. Impacts of lateral cones on hydrodynamic and hydrological functioning. Current morphosedimentary morphology of prerifaine valley bottoms: Case of Oued Larbâa (Morocco). J. Alpine Geography. 92(92-1): 17-28.
  30. Rodier, J., et al. 2009. The water analysis (9th edn). DUNOD, Paris. pp 1203.
  31. Rouabhia, A.E.K. and L. Djabri. 2010. Irrigation and the risk of salt pollution. Example of groundwater from the Miocene aquifer of the El Ma Labiod plain. Larhyss J., 8:55-67.
  32. Laaksoharju, M., et al. 1999. Multivariate mixing and mass balance (M3) calculations, a new tool for decoding hydrogeochemical information. Appl. Geochem., 14: 861-871.
  33. Tauler, R., et al. 2000. Multivariate correlation between concentrations of selected herbicides and derivatives in outflows from selected US mid-western reservoirs. Env. Sci. Tech., 34(16): 3307-3314.
  34. Singh, K.P., et al. 2005. Chemometric data analysis of pollutants in wastewater – A case study. Anal. Chim. Acta. 532(1): 15-25.
  35. Varol, M., et al. 2012. Spatial and temporal variations in surface water quality of the dam reservoirs in the Tigris river basin, Turkey. Catena. 92: 11-21.
  36. Ouyang, Y. 2005. Evaluation of river water quality monitoring stations by principal component analysis. Water Res., 39(12): 2621-2635.
  37. Pardo., R., et al. 2004. Application of two- and three-way principal component analysis to the interpretation of chemical fractionation results obtained by the use of the BCR procedure. Anal. Chim. Acta. 523(1): 125-132.
  38. Dagnelie., P. 2018. Theoretical and applied statistics: Inferences to one and two-dimensional. Bruxelles University, Boeck and Larcier. pp 736.
  39. Lattin, J.M., J. D. Carroll and P. E. Green. 2003. Analyzing multivariate data. Duxbury applied series. Thomson Brooks/Cole, Pacific Grove, USA.
  40. McKenna, J. 2003. An enhanced cluster analysis program with bootstrap significance testing for ecological community analysis. Env. Modelling Software. 18: 205-220.
  41. Otto, M. 1998. Multivariate methods. In Analytical chemistry. Ed R. Kellner, J. M. Mermet, M. Otto and H. M. Widmer. Wiley-VCH, Weinheim.
  42. Foucart, T. 1983. A new approach to the STATIS method. Review Appl. Statistics. 31: 61-75.
  43. Dragon, K. 2012. Application of factor analysis to study contamination of a semi-confined aquifer (Wielkopolska Buried Valley aquifer, Poland). J. Hydrol., 331(1): 272-279.
  44. Attoui, B. et al. 2018. Assessment of groundwater vulnerability to pollution using the Kherici’s method in the Talezza plain Collo region (NE Algeria). J. Water Land Develop., 33: 23-30. DOI: 10.1515/jwld-2017-0015.
  45. Obiefuna, G.I. and A. Sheriff. 2017. Assessment of shallow groundwater quality of Pindiga Gombe area, Yola area, NE, Nigeria for irrigation and domestic purposes. Res. J. Env. Earth Sci., 3(2): 131-141.
  46. Robinove, C.J., et al. 1958. Saline water resource of North Dakota (Water supply paper 1428). U.S. Government Printing Office, Washington, D.C. DOI: 10.3133/wsp1428.
  47. WHO. 2011. Wastewater use in agriculture and aquaculture: Recommendation health advisories. World Health Organization, Geneva. pp 82.
  48. Abbou, M.B., et al. 2014. Degradation of water quality in the alluvial aquifer of Wadi Larbaa by wastefrom the city of Taza (Morocco). Int. J. Innovation Sci. Res., 10(2): 282-294.
  49. Naoura, J., et al. 2015. Assessment of water quality of the Inaouene river, Northern Morocco. Int. J. Innovation Appl. Studies. 10(1): 60-66.
  50. Hebert, S. 2017. Monitoring the water quality of rivers and small streams. Department for Monitoring State of the Environment, Ministry of the Environment, Government of Quebec.
  51. N.M. 2002. Moroccan water quality standard. Joint Order of the Minister of Equipment and of the Minister responsible for land use planning, urbanism, housing and the environment. Bull. Off. no. 5062. 30 Ramadan 1423.
  52. Korfali., S.I. and M. Jurdi. 2017. Suitability of surface water for domestic water use: Awali river case study. European Water. 35: 3-12.
  53. Mmualefhe, L.C. and N. Torto. 2011. Water quality in the Okavango Delta. Water SA. 37: 411-418.
  54. Pitt, R., et al. 2004. Review of historical street dust and dirt accumulation and washoff data. In Effective modeling of urban systems, monograph 13. Ed W. James et al. CHI, Guelph, Ontario.
  55. Wong, T.H.F. 2006. Australian runoff quality – A guide to water sensitive urban design. Engineers Australia.
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