A Statistical Technique for Modelling Dissolved Oxygen in Salt Lakes

References

• Al-Zubaidi, H. A. M., 2018. 3D Hydrodynamic, Temperature, and Water Quality Numerical Model for Surface Waterbodies: Development, Verification, and Field Case Studies. Dissertations and Theses. Paper 4500. https://doi.org/10.15760/etd.6384
   Google Scholar
• Al-Zubaidi, H. A. M., & Wells, S. A. (2020). Analytical and field verification of a 3D hydrodynamic and water quality numerical scheme based on the 2D formulation in CE-QUAL-W2. Journal of Hydraulic Research, 58(1), 152–18. https://doi.org/10.1080/00221686.2018.1499051
   Web of Science ®Google Scholar
• Awadh, S. M., & Muslim, R. (2014). The formation models of gypsum barrier, chemical temporal changes and assessments the water quality of Sawa Lake, Southern Iraq. Iraqi Journal of Science, 55(1), 161–173. https://www.iasj.net/iasj/article/86984
   Google Scholar
• Burnham, K. P., & Anderson, D. R. (2002). Model selection and multimodel inference: A practical information-theoretic approach., 2nd ed. Springer, New York
   Google Scholar
• Cole, T. M., & Wells, S. A. (2006). CE-QUAL-W2: A two-dimensional, laterally averaged, hydrodynamic and water quality model, Version 3.5. Instruction Report EL-06-1, US Army Engineering and Research Development Center. http://archives.pdx.edu/ds/psu/12049
   Google Scholar
• Cordier, C., Guyomard, K., Stavrakakis, C., Sauvade, P., Coelho, F., & Moulin, P. (2020). Culture of microalgae with ultrafiltered seawater: A feasibility study. SciMedicine Journal, 2(2), 56–62. https://doi.org/10.28991/SciMedJ-2020-0202-2
   Google Scholar
• Core Team, R. (2015). R: A language and environment for statistical computing. //www.R-project.org.
   Google Scholar
• Fox, J. (2015). Applied regression analysis and generalized linear models. Sage Publications.
   Google Scholar
• Gelman, A., Carlin, J., Stern, H., Dunson, D., Vehtari, A., & Rubin, D. (2013). Bayesian data analysis. New York: Chapman and Hall/CRC. https://doi.org/10.1201/b16018
   Google Scholar
• Gotelli, N. J., & Ellison, A. M. (2013). A primer of ecological statistics (2nd ed ed.). Sunderland, MA: Sinauer Associates. https://books.google.iq/books?id=zTbjMQEACAAJ
   Google Scholar
• Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis, (5th ed ed.). NJ: Prentice-Hall. http://cds.cern.ch/record/580950
   Google Scholar
• Hassan, F. M., Al-Saadi, H. A., & Alkam, F. M. (2006). Phytoplankton composition of Sawa Lake, Iraq. Iraqi Journal of Aquaculture Journal, 3(2), 99–107. https://doi.org/10.21276/ijaq.2006.3.2.4
   Google Scholar
• Hussain, M. R., & Abed, B. S. (2019). Simulation and Assessment of Groundwater for Domestic and Irrigation Uses. Civil Engineering Journal., 5(9), 1877–1892. https://doi.org/10.28991/cej-2019-03091379
   Google Scholar
• Last, W. M. (2002). Geolimnology of salt lakes. Geosciences Journal, 6(4), 347–369. https://doi.org/10.1007/BF03020619
   Google Scholar
• Moayedi, A., Yargholi, B., Pazira, E., & Babazadeh, H. (2019). Investigated of desalination of saline waters by using dunaliella salina algae and its effect on water ions. Civil Engineering Journal., 5(11), 2450–2460. https://doi.org/10.28991/cej-2019-03091423
   Google Scholar
• Mohammed, S. E., & Abdulrazzaq, K. A. (2018). Developing Water Quality Index to Assess the Quality of the Drinking Water. Civil Engineering Journal., 4(10), 2345–2355. https://doi.org/10.28991/cej-03091164
   Google Scholar
• Obianyo, J. I. (2019). Effect of salinity on evaporation and the water cycle. Emerging Science Journal, 3(4), 255–262. http://dx.doi.org/10.28991/esj-2019-01188
   Google Scholar
• Ostrom, C. W. (1990). Time series analysis: Regression techniques (2nd ed ed.). Sage Publications.
   Google Scholar
• Queen, J. P., Quinn, G. P., & Keough, M. J. (2002). Experimental design and data analysis for biologists. Cambridge university press.
   Google Scholar
• Schabenberger, O., & Pierce, F. J. (2001). Contemporary statistical models for the plant and soil sciences. Boca Raton: CRC Press. https://doi.org/10.1201/9781420040197
   Google Scholar
• Shiklomanov, I. A. (1990). Global water resources. Nat. Resour., 26(3), 34–43. https://www.cabdirect.org/cabdirect/abstract/19906709801
   Google Scholar
• Shope, C. L., & Angeroth, C. E. (2015). Calculating salt loads to Great Salt Lake and the associated uncertainties for water year 2013; updating a 48year old standard. Science of the Total Environment, 536, 391–405. https://doi.org/10.1016/j.scitotenv.2015.07.015
   Google Scholar
• Sokal, R. R., & Rohlf, F. J. (1995). Biometry: The principles and practice of statistics in biological research. 3rd Ed W.H. Freeman and Company.
   Google Scholar
• Tweed, S., Grace, M., Leblanc, M., Cartwright, I., & Smithyman, D. (2011). The individual response of saline lakes to a severe drought. The Science of the Total Environment, 409(2011), 3919–3933. https://doi.org/10.1016/j.scitotenv.2011.06.023
   PubMedGoogle Scholar
• Zhang, L. (2019). Big Data, knowledge mapping for sustainable development: A water quality index case study. Emerging Science Journal, 3(4), 249–254. https://dx.doi.org/10.28991/esj-2019-01187
   Google Scholar
• Ziyadi, M., Jawad, L., Almukhtar, M., & Pohl, T. (2015). Day’s goby, Acentrogobius dayi Koumans, 1941 (Pisces: Gobiidae) in the desert Sawa Lake, south-west Baghdad, Iraq. Marine Biodiversity Records, 8, E148. https://doi.org/10.1017/S1755267215001220
   Google Scholar
• Zuur, A. F., Hilbe, J. M., & Ieno, E. N. (2013). Beginner’s guide to GLM and GLMM with R: A frequentist and Bayesian perspective for ecologists. Highland Statistics Ltd.
   Google Scholar
• Zuur, A. F., Ieno, E. N., & Elphick, C. S. (2010). A protocol for data exploration to avoid common statistical problems. Methods in Ecology and Evolution, 1(1), 3–14. https://doi.org/10.1111/j.2041210X.2009.00001.x
   Web of Science ®Google Scholar
• Zuur, A. F., Ieno, E. N., & Freckleton, R. (2016). A protocol for conducting and presenting results of regression-type analyses. Methods in Ecology and Evolution, 7(6), 636–645. https://doi.org/10.1111/2041-210X.12577
   Web of Science ®Google Scholar
• Zuur, A. F., Ieno, E. N., Walker, N., Saveliev, A. A., & Smith, G. M. (2009). Mixed effects models and extensions in ecology with R. NewYork: Springer. https://doi.org/10.1007/978-0-387-87458-6
   Google Scholar