References

  1. S. Hua, H. Jing, Y. Yao, Z. Guo, D.N. Lerner, C.B. Andrews, C. Zheng, Can groundwater be protected from the pressure of China’s urban growth?, Environ. Int., 143 (2020) 105911, doi: 10.1016/j.envint.2020.105911.
  2. PNUE/PAM/Plan Bleu, Suivi de la mise en oeuvre de la stratégie méditerranéenne pour le développement durable 2016–2025, Version provisoire mars 2017, Valbonne, Plan Bleu, 2017.
  3. J. Wang, W. Zhou, H. Yang, F. Wang, R. Ruan, Trophic mode conversion and nitrogen deprivation of microalgae for high ammonium removal from synthetic wastewater, Bioresour. Technol., 196 (2015) 668–676.
  4. H.L. Leverenz, T. Asano, Wastewater reclamation and reuse system, reference module in earth systems and environmental sciences, Treatise Water Sci., 4 (2011) 63–71.
  5. S. Lyu, W. Chen, W. Zhang, Y. Fan, W. Jiao, Wastewater reclamation and reuse in China: opportunities and challenges, J. Environ. Sci., 39 (2016) 86–96.
  6. C.W. Bryant, A simple method for analysis of the performance of aerated wastewater lagoons, Water Sci. Technol., 31 (1995) 211–218.
  7. J.G. Timmerman, E. Beinat, K. Termeer, W. Cofino, Analyzing the data-rich but-information-poor syndrome in Dutch water management in historical perspective, Environ. Manage., 45 (2010) 1231–1242.
  8. H. Boyacioglu, H. Boyacioglu, Surface water quality assessment by environmetric methods, Environ. Monit. Assess., 131 (2007) 371–376.
  9. A. Kumar, M.P. Sharma, S.P. Rai, A novel approach for river health assessment of Chambal using fuzzy modeling, India, Desal. Water Treat., 58 (2017) 72–79.
  10. A.D. Sutadian, N. Muttil, A.G. Yilmaz, B.J.C. Perera, Development of river water quality indices—a review, Environ. Monit. Assess., 188 (2016) 58, doi: 10.1007/s10661–015–5050–0.
  11. Md. Safiqul Islam, M.A. Azadi, M. Nasiruddin, Md. Saiful Islam, Water quality index of Halda River, Southeastern Bangladesh, Am. J. Environ. Eng., 10 (2020) 59–68.
  12. X. Qu, Y. Chen, H. Liu, W. Xia, Y. Lu, D.D. Gang, L.S. Lin, L.S., A holistic assessment of water quality condition and spatiotemporal patterns in impounded lakes along the eastern route of China’s South-to-North water diversion project, Water Res., 185 (2020) 116275, doi: 10.1016/j.watres.2020.116275.
  13. A. Kumar, M.P. Sharma, A.K. Taxak, Analysis of water environment changing trend in Bhagirathi tributary of Ganges in India, Desal. Water Treat., 63 (2017) 55–62.
  14. M. Ebrahimi, E.L. Gerber, T.D. Rockaway, Temporal performance assessment of wastewater treatment plants by using multivariate statistical analysis, J. Environ. Manage., 193 (2017) 234–246.
  15. APHA, Standard Methods for the Examination of Water and Wastewater, 22nd ed., E.W. Rice, R.B. Baird, A.D. Eaton, L.S. Clesceri, Eds., American Public Health Association (APHA), American Water Works Association (AWWA) and Water Environment Federation (WEF), Washington, D.C., USA, 2012.
  16. E. Doherty, G. McNamara, L. Fitzsimons, E. Clifford, Design and implementation of a performance assessment methodology cognisant of data accuracy for Irish wastewater treatment plants, J. Cleaner Prod., 165 (2017) 1529–1541.
  17. J.I.E. Hoffman, Chapter 9 – Outliers and Extreme Values, In: Biostatistics for Medical and Biomedical Practitioners, 2nd ed., Elsevier Inc., Academic Press, 2019, pp. 149–155.
  18. Y.W. Tukey, Exploratory Data Analysis, Addison-Wesley Publishing Co, Menlo Park, CA, 1977, doi: 10.1016/B978- 0-12-817084-7.00009-7.
  19. M. Le Guen, La boîte à moustaches de Tukey, un outil pour initier à la Statistique, Statistiquement Votre – SFDS, 2001, pp. 1–3.
  20. V. Chantarangkul, F. Peyvandi, A. Tripodi, Effect of different methods for outlier detection and rejection when calculating cut off values for diagnosis of lupus anticoagulants, Thrombosis Res., 190 (2020) 20–25.
  21. R. Tareghian, P.F. Rasmussen, Statistical downscaling of precipitation using quantile regression, J. Hydrol., 487 (2013) 122–135.
  22. H. Mallick, H. Padhan, M.K. Mahalik, Does skewed pattern of income distribution matter for the environmental quality? Evidence from selected BRICS economies with an application of Quantile-on-Quantile regression (QQR) approach, Energy Policy, 129 (2019) 120–131.
  23. M. Paiu, I.G. Breabăn, Water quality index – an instrument for water resources management, AERUL ŞI APA COMPONENTE ALE MEDIULUIAT: Cluj Napoca, 2014 (2014) 391–398.
  24. K. Yogendra, E.T. Puttaiah, Determination of Water Quality Index and Suitability of an Urban Waterbody in Shimoga Town, Karnataka, Proceedings of Taal 2007: The 12th World Lake Conference, Jaipur, Rajasthan, India, 2008, pp. 342–346.
  25. CCME, Canadian Water Quality Guidelines for the Protection of Aquatic Life: CCME Water Quality Index User’s Manual 2017 UPDATE, Canadian Environmental Quality Guidelines, Canadian Council of Ministers of the Environment, 2017. Available at: https://www.ccme.ca/files/Resources/water/ water_quality/WQI%20Manual%20EN.pdf
  26. G.D. Gikas, G.K. Sylaios, V.A. Tsihrintzis, I.K. Konstantinou, T. Albanisc, I. Boskidis, Comparative evaluation of river chemical status based on WFD methodology and CCME water quality index, Sci. Total Environ., 745 (2020) 140849, doi: 10.1016/j.scitotenv.2020.140849.
  27. T. Hurley, R. Sadiq, A. Mazumder, Adaptation and evaluation of the Canadian Council of Ministers of the Environment Water Quality Index (CCME WQI) for use as an effective tool to characterize drinking source water quality, Water Res., 46 (2012) 3544–3552, doi: 10.1016/j.watres.2012.03.061.
  28. M. Terrado, D. Barcelo, R. Tauler, E. Borrell, S.D. Campos, Surface-water-quality indices for the analysis of data generated by automated sampling networks, TrAC, Trends Anal. Chem., 29 (2010) 40–52.
  29. S. Tyagi, B. Sharma, P. Singh, R. Dobhal, Water quality assessment in terms of water quality index, Am. J. Water Resour., 1 (2013) 34–38.
  30. R.M. Brown, N.I. McClelland, R.A. Deininger, M.F. O’Connor, A Water Quality Index — Crashing the Psychological Barrier, W.A. Thomas Eds., Indicators of Environmental Quality. Environmental Science Research, Vol. 1, Springer, Boston, MA, 1972.