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Variable Reduction for Water Quality Investigation using VARCLUS Technique. A Case Study of Mosul Dam Lake, Northern Iraq

  • HYDROCHEMISTRY, HYDROBIOLOGY: ENVIRONMENTAL ASPECTS
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Abstract

Water quality data parameters consist of a large data set. Such a large amount of data incurs great effort in processing and conducting visualization techniques to facilitate the analysis and building of the necessary views for decision makers. The current study included a set of steps to data reduction for 34 parameters during two seasons, at different sites and depths for Mosul Dam Lake, Northern Iraq by using VARCLUS technique. VARCLUS showed that there were seven main clusters during winter with 77% of the total variation in the dataset. Depending on Rratio results indicating that there are 12 parameters could be used to monitoring the water quality and F, SO4 and Li are appears to be more important parameters than among them to predict overall the water quality of the lake for this season. During summer eight main clusters with 79% of the total variation displayed result of summer season. B, Na and S were more significant parameters depending on Rratio among 11 parameters for this season. Each of Li, Ni, S, and total inorganic carbon are dominate parameters during measurement periods. This technique for water quality assessment could be using to reduce by about 64% of water quality data and can support decision-makers by providing an effective and secure tool for managing and monitoring the reservoir.

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REFERENCES

  1. Al-Ansari, N., Issa, I.E., Sherwani, G., and Knutsson, S., Sedimentaion in the Mosul Reservoir of Northern Iraq, J. Environ. Hydro., 2013, vol. 21, pp. 1–10.

    Google Scholar 

  2. Al-Hamadani, A.A.B. and Khattab, M.F.O., Variation of Characteristic Quality with Depth of Water of Mosul Dam Lake, Rafidain J. Sci., 2005, vol. 16, pp. 104–114.

    Google Scholar 

  3. Al-Kawaz, H.A., Geochemistry and Mineralogy of Recent Sediments and Miocene Rocks and the Nature of Their Interaction with the Southern Part of Saddam Lake Waters, Mosul Univ., 1996.

    Google Scholar 

  4. Al-Taiee, T.M. and Sulaiman, Y.I., Preliminary Water Balance of Saddam Dam Lake, in The Second Sci. Conf. SDRC, 1990, pp. 121–134.

  5. Aral, H. and Vecchio-Sadus, A., Toxicity of lithium to humans and the environment—A literature review, Ecotoxicol. Environ. Saf., 2008, vol. 70, pp. 349–356. https://doi.org/10.1016/j.ecoenv.2008.02.026

    Article  Google Scholar 

  6. Chuco, T.D., Dynamic Integrated Modelling of Basic Water Quality and Fate and Effect of Organic Contaminants in Rivers, Gent Univ., 2004.

    Google Scholar 

  7. Hamid, A., Bhat, S., Bhat, S., and Jehangir, A., Environmetric techniques in water quality assessment and monitoring: A case study, Environ. Earth Sci., 2016, vol. 75. https://doi.org/10.1007/s12665-015-5139-3

  8. Hing, K.L.K., An Investigation of Artificial Immune Systems and Variable Selection Techniques for Credit Scoring, RMIT University, 2008.

    Google Scholar 

  9. Iraqi Ministry of Water Resources, Water Resources, Mosul dam Characteristics, 2013. http://www. mowr.gov.iq/?q=node/406

  10. Kelley, J.R., Wakeley, L.D., Broadfoot, S.W., Pearson, M.L., McGrath, C.J., McGill, T.E., and Talbot, C.A., Geologic setting of Mosul Dam and its Engineering Implication, 2007.

  11. Khattab, M.F.O. and Merkel, B.J., Distribution of hetrotrophic bacteria and water quality parameters of Mosul Dam Lake, Northern Iraq, in Water Pollution XI, Brebbia, C.A., Ed., Southampton: WIT Press 2012, pp. 195–207.

    Google Scholar 

  12. Mehling, W.E., Acree, M., Stewart, A., Silas, J., and Jones, A., The multidimensional assessment of interoceptive awareness, Version 2 (MAIA-2), PloS One, 2018, vol. 13, no. 12, e0208034–e0208034. https://doi.org/10.1371/journal.pone.0208034

    Article  Google Scholar 

  13. Nelson, B.D., Variable Reduction for Modeling using PROC VARCLUS, 2001. Retrieved January 1, 2014, from www2.sas.com/proceedings/sugi26/p261–26.pdf.

  14. Saleh, D.K., Stream Gage Descriptions and Streamflow Statistics for Sites in the Tigris River and Euphrates River Basins, Iraq, Reston, Virginia: U.S. Geological Survey, 2010.

    Book  Google Scholar 

  15. Sanche, R. and Lonergan, K., Variable reduction for predictive modeling with clustering, Casualty Actuarial Society Forum, 2006, pp. 89–100.

  16. Shugar, G., Bauman, J., Shari, L., Drum, D.A., and Lauber, J., Environmental Field Testing and Analysis Ready Reference Handbook, McGraw-Hill Professional, 2000.

    Google Scholar 

  17. Sullivan, A.B., Sogutlugil, I.E., Rounds, S.A., and Deas, M.L., Modeling the water-quality effects of changes to the Klamath River upstream of Keno Dam, Oregon, 2013. Retrieved from http://pubs. usgs.gov/sir/2013/5135/.

  18. Udo, T., McKee, S.A., White, M.A., Masheb, R.M., Barnes, R.D., and Grilo, C.M., The factor structure of the metabolic syndrome in obese individuals with binge eating disorder, J. Psychosom. Res., 2014, vol. 76, no. 2, pp. 152–157. https://doi.org/10.1016/j.jpsychores.2013.10.007

    Article  Google Scholar 

  19. Woolston, A., Tu, Y.-K., Baxter, P.D., and Gilthorpe, M.S., A comparison of different approaches to unravel the latent structure within metabolic syndrome, PloS One, 2012, vol. 7, no. 4, e34410–e34410. https://doi.org/10.1371/journal.pone.0034410

    Article  Google Scholar 

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ACKNOWLEDGMENTS

This work was supported by the German Academic Exchange Service. The authors would like to express their sincere appreciation to Hazim Al-Naemi for assisting in the achievement of the field work, also Dr. Khalid J. Aswad for offering valuable advice in the statistics field. They are grateful to the administration department of economic computer science especially to Claudia Koschtial for her great help with the program SAS.

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Authors and Affiliations

  1. Hydrogeology Department, TU-Bergakademie Freiberg, 09599, Germany

    Mohammed F. O. Khattab, Sameh W. Al-Muqdadi, Rudy K. Abo & Broder J. Merkel

  2. Remote Sensing Center, Mosul University, 41002, Iraq

    Mohammed F. O. Khattab

Authors
  1. Mohammed F. O. Khattab
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  2. Sameh W. Al-Muqdadi
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  3. Rudy K. Abo
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  4. Broder J. Merkel
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Correspondence to Mohammed F. O. Khattab, Sameh W. Al-Muqdadi, Rudy K. Abo or Broder J. Merkel.

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Mohammed F. O. Khattab, Al-Muqdadi, S.W., Abo, R.K. et al. Variable Reduction for Water Quality Investigation using VARCLUS Technique. A Case Study of Mosul Dam Lake, Northern Iraq. Water Resour 47, 1005–1011 (2020). https://doi.org/10.1134/S0097807820060093

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  • DOI: https://doi.org/10.1134/S0097807820060093

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