A Model for Quantitative Performance Evaluation of Water Treatment Plants

Document Type : Research Paper

Authors

1 MSc Student, Faculty of Water Science, Islamic Azad University, Shoushtar Branch, Shoushtar, Iran

2 Assist. Prof., Water and Environmental Science Research Center, Islamic Azad University, Shoushtar Branch, Shoushtar, Iran

Abstract

Nowadays at the same time with population growth in urban areas, healthy potable water supply has become a challenge especially in  arid and semi-aris countries who intend to fulfil a sustainable development. Due to the increasing importance of water treatment and its key role throughout the world, improvement of water treatment plants is becoming more visible. In this research, the criteria and effective factors influencing the quantitative performance evaluation of three treatment plants were investigated using AHP approach.   The three treatment plants used in this study were selected from three provences in Iran including  Hamedan, Ilam and Kermanshah. The  model performance were quantitatively evaluated by using  the physical, chemical, and biological characteristics of effluent data. Model performance evaluation revealed that E. Coli; turbidity;  ammonia, nitrate and nitrite is most important microbilogical, physical, and chemical water quality parameters when assessing the performance of effluent quality of treatment plants. Based on the the evaluated results, the performance of treatment plants in Kermanshah was better than the other two treatment plants. It will also be equaliy important to indicate that if any of the treatment plants met the effluent standards set by the Iranian authorities.

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Abbaspour, M., Javid, A. & Habibi, A., 2014, "Determination of physical & chemical properties of water of khersan river & investigation on its yearly changes", Journal of Environment Science and Technology, 15, 1-11.
Boroushaki, S. & Malczewski, J., 2008, "Implementing an extension of the analytical hierarchy process using ordered weighted averaging operators with fuzzy quantifiers in ArcGIS", Computers and Geosciences, 34, 399-410.
Chen, Y., Yu, J. & Khan, S., 2010, "Spatial sensitivity analysis of multi-criteria weights in GIS-based land suitability evaluation", Environmental Modelling & Software, 25 (12), 1582-1591.
Che-Wei, C., Cheng-Ru, W., Chin-Tsai, L. & Huang-Chu, C., 2007, "An application of AHP and sensitivity analysis for selecting the best slicing machine", Comput. Ind. Eng., 52 (2), 296-307.
Dabaghian, M. R., Hashemi, S. H., Ebadi, T. & Maknoon, R., 2008, "The best available technology for small electroplating plants applying analytical hierarchy process", Int. J. Environ. Sci. Tech., 5 (4), 479-484.
Darabi, M., Jahani Zadeh, Sh. & Chegeny, M., 2014, "Chemical and physical indicators in drinking water and water sources of Boroujerd using principal components analysis", Medical Laboratory Journal, 8, 76-82.
García, C., López-Úbeda, A., Palazón, A., López, I. & Aragonés, L., 2016, "Evaluation of the quality of coastal bathing waters in Spain through fecal bacteria Escherichia coli and Enterococcus", Science of the Total Environment, 566-567, 288-297.
Guangming, Z., Ru, J., Guohe, H., Min, X. & Jianbing, L., 2007. "Optimization of wastewater treatment alternative selection by hierarchy grey relational analysis", Journal  of Environmental Management, 82, 250-259.
Handfield, R., Steven, V., Walton, R. S. & Steven, A. M., 2002, "Applying environmental criteria to supplier assessment: A study in the application of the analytical hierarchy process", Eur. J. Oper. Res., 141 (1), 70-87.
Lee, A.H.I., Chen, W.C. & Chang, C.J., 2008, "A fuzzy AHP and BSC approach for evaluating performance of IT department in the manufacturing industry in Taiwan", Expert Systems with Applications, 34, 96-107.
Mahmoodzadeh, S., Shahrabi, J., Pariazar M. & Zaeri, M. S., 2007, "Project selection by using fuzzy AHP and TOPSIS technique", International J. of Human and Social Sciences, 30, 333-338.
Mianabadi, H. & Afshar, A. 2008, "Multi-attribute decision- marking to rank urban water supply schemes", Journal of Water and Wastewater, 19 (2), 34-45. (In Persian)
Mohammadi, A., Amouei, A., Tabarinia, H. & Faraji, H., 2015, "Investigating the physicochemical analysis of potable ground water sourcesin area rural area of Babol city", Journal of Neyshabur University of Medical Science, 2, 61-69. (In Persian)
Mok, J., Lee, K., Kim, P., Lee, T., Lee, H., J. et al., 2016, "Bacteriological quality evaluation of seawater and oysters from the Jaranman-Saryangdo area, a designated shellfish growing area in Korea: Impact of inland pollution sources", Marine Pollution Bulletin, 108, 147-154.
Noroozi, R., Zafarzadeh, A. & Youlizadeh, T., 2013, "Survey on microbial quality of drinking water in city Maravehtapeh Villages and comparison with national and WHO standards", Journal of Environmental Health Enginering, 1, 20-29.
Perez, M., Rodriguez-Cano, R., Romero, L.I. & Sales D., 2007, "Performance of anaerobic thermophilic fluidized bed in the treatment of cutting-oil wastewater", Bioresource Technology, 98 (18), 3456-3463.
Rossman, L. A., 1980, "Synthesis of waste treatment systems by implicit enumeration", Journal of Water Pollut. Control F., 52 (1), 147-160.
Saaty, T. & Vargas, L. G., 2001, "Models, methods, concepts & applications of the analytic hierarchy process", International Series in Operations Research & Management Science, Tehran, Iran. (In Persian)
Solaimani Sardo, M.,Vali, A.A., Ghazavi, R. & Saidi Goraghani, H.R. 2013, "Trend analysis of chemical water quality parameters, Case study Cham Anjir River", Journal of Irrigation & Water Engineering, 12, 95-106.
Stringfellow, W., Domen, J. K. & Camarillo, M. K., 2016, "Physical-chemical evaluation of hydraulic fracturing chemicals in the context of produced water treatment", Journal of Environmental Management, 183, 164-174.
Tebbutt, T. H. Y., 1998, Principles of water quality control, 5th Ed., Butter Worth-Heinemann Pub., U.K.
Tsagarakis, K. P., Mara, D. D. & Angelakis, A. N., 2003, "Application of cost criteria for selection of municipal wastewater treatment systems", Water Air Soil Pollut. 142 (1-4), 187- 210.
Tsiporkova, E. & Boeva, V., 2006, "Multi-step ranking of alternatives in a multi-criteria and multi-expert decision making environment", Inform. Science, 176 (12), 2673-2697.