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Environmental Pollution pp 549–566Cite as

Ensemble MCDM Approach to Determine Priorities of Parameters for WQI

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Part of the book series: Water Science and Technology Library ((WSTL,volume 77))

Abstract

Priorities of different water quality parameters are required to be determined for the calculation of Water Quality Indices. The procedures of determining priorities (importance) to the parameters are often subjective and preferential. The present study proposes an objective and non-preferential method to determine the priorities of water quality parameters to calculate Water Quality Index. Relative importance of the parameters were determined on the basis of important criteria like hazard potential, utility, cost, and citation frequency using Multi-Criteria Decision-Making methods like Analytic Hierarchy Process, Fuzzy Logic Decision-Making, and their combinations. Different Water Quality Indices (MCDM WQI) were developed from the priority values of the parameters, determined by each of the methods applied. A case study was performed in Tripura, India to validate those Water Quality Indices. Sensitivity analysis, statistical analysis, and comparison with an established Water Quality Index (NSF WQI) were performed for each of the indices developed. The MCDM WQIs were found to be close to NSF WQI (less than 2% deviation) and also follow similar patterns. The Hybrid AHP-FLDM method was found to be closest to NSF WQI (0.29% deviation) among the methods used. Thus, the MCDM WQI is successful in representing the overall water quality.

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References

  • Avvannavar SM, Shrihari S (2008) Evaluation of water quality index for drinking purposes for river Netravathi, Mangalore, South India. Environ Monit Assess 143:279–290

    Article  Google Scholar 

  • Bhargava DS (1983) Use of water quality index for river classification and zoning of Ganga River. Environ Pollut (Series B) 6:51–67

    Article  Google Scholar 

  • Brown RM, McClelland NI, Deininger RA, Tozer RG (1970) A water quality index- do we dare? Water Sew Works, 339–343

    Google Scholar 

  • Canadian Council of Ministers of the Environment (2001) Canadian environmental quality guidelines for the protection of aquatic life. CCME water quality index: technical report, 1.0

    Google Scholar 

  • Carbajal-Hernándeza JJ, Sánchez-Fernándezb LP, Carrasco-Ochoaa JA, Martínez-Trinidad JF (2012) Immediate water quality assessment in shrimp culture using fuzzy inference systems. Expert Syst Appl 39(12):10571–10582

    Article  Google Scholar 

  • Chauhan A, Singh S (2010) Evaluation of Ganga water for drinking purpose by water quality index at Rishikesh, Uttarakhand, India. Report Opinion 2(9):53–61

    Google Scholar 

  • Craparo RM (2007) Significance level. Encyclopedia of measurement and statistics, vol 3. SAGE Publications, Thousand Oaks, CA, pp 889–891

    Google Scholar 

  • Debnath A, Majumder M, Pal M (2015) A cognitive approach in selection of source for water treatment plant based on climatic impact. Water Resour Manage 29(6):1907–1919

    Article  Google Scholar 

  • Dunnette DA (1979) A geographically variable water quality index used in Oregon. J Water Pollut Control Fed 51(1):53–61

    Google Scholar 

  • Eschenbach TG (2006) Constructing tornado diagrams with spreadsheets. Eng Econ 51(2):195–204

    Article  Google Scholar 

  • Ghosh S, Majumder M, Chakraborty T, Pal M (2016) Development of the location suitability index for wave energy production by ANN and MCDM techniques. Renew Sustain Energy Rev 59(2016):1017–1028

    Article  Google Scholar 

  • Horton RK (1965) An index number system for rating water quality. J Water Pollut Control Fed 37(3):300–305

    Google Scholar 

  • House M, Ellis JB (1987) The development of water quality indices for operational management. Water Sci Technol 19(9):145–154

    Google Scholar 

  • Hyndman RJ, Athanasopoulos G (2013) Forecasting: principles and practice. OTexts. www.otexts.org/fpp

  • Karbassi AR, Hosseini MMF, Baghvand A, Nazariha M (2011) Development of water quality index (WQI) for Gorganrood River. Int J Environ Res 5(4):1041–1046

    Google Scholar 

  • Lermontov A, Yokoyamab L, Lermontovc M, Machadod MAS (2009) River quality analysis using fuzzy water quality index: Ribeira do Iguape river watershed, Brazil. Ecol Ind 9(6):1188–1197

    Article  Google Scholar 

  • Mourhir A, Rachidi T, Karim M (2014) River water quality index for Morocco using a fuzzy inference system. Environ Syst Res 3(21). www.environmentalsystemsresearch.com/content/3/1/21

  • Ocampo-Duquea W, Ferré-Huguetb N, Domingob JL, Schuhmachera M (2006) Assessing water quality in rivers with fuzzy inference systems: a case study. Environ Int 32(6):733–742

    Article  Google Scholar 

  • Rocchini R, Swain LG (1995) The British Columbia water quality index. Water Quality Branch, Environmental Protection Department, British Columbia Ministry of Environment, Land and Parks

    Google Scholar 

  • Saaty TL (1977) A scaling method for priorities in hierarchical structures. J Math Psychol 15:59–62

    Article  Google Scholar 

  • Saaty TL (1980) The analytic hierarchy process, planning, priority setting, resource allocation. McGraw-Hill, New York

    Google Scholar 

  • Sahu M, Mahapatra SS, Sahu HB, Patel RK (2011) Prediction of water quality index using neuro fuzzy inference system. Water Qual Exposure Health 3(3–4):175–191

    Article  Google Scholar 

  • Semiromi FB, Hassani AH, Torabian A, Karbassi AR, Lotfi FH (2011) Water quality index development using fuzzy logic: a case study of the Karoon River of Iran. Afr J Biotech 10(50):10125–10133

    Article  Google Scholar 

  • Terrado M, Barceló D, Tauler R, Borrell E, de Campos S, Barceló D (2010) Surface-water-quality indices for the analysis of data generated by automated sampling networks. Trends Anal Chem 29(1):40–52

    Article  Google Scholar 

  • Triantaphyllou E (2000) Multi-criteria decision making: a comparative study. Appl Optim 44:5–21

    Article  Google Scholar 

  • Tyagi S, Sharma B, Singh P, Dobhal R (2013) Water quality assessment in terms of water quality index. Am J Water Resour 1(3):34–38

    Google Scholar 

  • Zadeh LA (1965) Fuzzy sets. Inf Control 8(3):338–353

    Article  Google Scholar 

Download references

Acknowledgements

The authors thankfully acknowledge the active support of Dr. Manish Pal (HoD) and Mr. Santanu Bhowmik (Research Scholar), School of Hydro-Informatics Engineering, NIT Agartala during collection of data for the present study.

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Authors and Affiliations

  1. School of Hydro-Informatics Engineering, National Institute of Technology Agartala, Barjala, Jirania, 799046, Tripura (W), India

    Ritabrata Roy & Mrinmoy Majumder

  2. Department of Mechanical Engineering, National Institute of Technology Durgapur, Durgapur, 713209, West Bengal, India

    Rabindra Nath Barman

Authors
  1. Ritabrata Roy
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  2. Mrinmoy Majumder
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  3. Rabindra Nath Barman
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Corresponding author

Correspondence to Ritabrata Roy .

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Editors and Affiliations

  1. Department of Biological and Agricultural Engineering, and Zachry Department of Civil Engineering, Texas A&M University, College Station, Texas, USA

    Vijay P Singh

  2. Department of Civil Engineering, AISECT University, Bhopal, Madhya Pradesh, India

    Shalini Yadav

  3. AISECT University, Hazaribag, Jharkhand, India

    Ram Narayan Yadava

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Roy, R., Majumder, M., Barman, R.N. (2018). Ensemble MCDM Approach to Determine Priorities of Parameters for WQI. In: Singh, V., Yadav, S., Yadava, R. (eds) Environmental Pollution. Water Science and Technology Library, vol 77. Springer, Singapore. https://doi.org/10.1007/978-981-10-5792-2_43

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