Abstract
One of the major drawbacks of WQI is the manner, in which magnitude of the weights are assigned to the water quality parameters to their relative importance. Most of such methods are rather subjective and does not include the impact of the parameters to create hazards, cost to mitigate the hazard and utility to asses water quality. That is why; the present investigation proposes an objective method to determine the magnitude of weight, incorporating such factors and thus depicts the holistic quality of water. To achieve this objective FLDM was used to integrate the importance of parameters, on the basis of expert and literature survey, to represent actual situation of water quality more accurately. A case study of assessing the water quality of the sample water bodies in North East India with the proposed WQI is also incorporated to verify the applicability of the proposed index. The results show that the values of proposed WQI are close to that of NSF WQI and also in parity with available data.
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References
American Public Health Association, American Water Works Association, Water Environment Federation. (1999). Standard methods for the examination of water and wastewater (20th ed.); 2340 C.
Ansari, K., Hemke, N. M. (2013). Water quality index for assessment of water samples of different zones in Chandrapur City. International Journal of Engineering Research and Applications (IJERA), 3(3), 236. ISSN: 2248-9622, May–Jun 2013.
Bhargava, D. S. (1983). Use of water quality index for river classification and zoning of Ganga River. Environmental Pollution (Series B), 6, 51–67.
Brown Robert, M., McClelland Nina, I., Deininger Rolf, A., & Tozer Ronald, G. (1970). A water quality index—do we dare? Water and Sewage Works, 339–343, October 1970
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.
Central Water Commission. (2005). Water data complete book 2005 (pp. 67, Table: 2.12). http://www.cwc.nic.in/main/downloads/Water_Data_Complete_Book_2005.pdf.
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.
Chen, H.W., Chang, N.B. (2001) Identification of river water quality using the fuzzy synthetic evaluation approach. Journal of Environmental Management, 63(3), 293–305.
Dunnette, D. A. (1979). A geographically variable water quality index used in Oregon. Journal of the Water Pollution Control Federation, 51(1), 53–61.
Forman, E. H., Saul, I. G. (2001). The analytical hierarchy process—an exposition. Operations Research, 49(4), 469–448.
Heal, K. V., Vinten, A. J. A., Gouriveau, F., Zhang, J., Windsor, M., D’Arcy, B., Frost, A., Gairns, L., Langan, S. J. (2006). The use of ponds to reduce pollution from potentially contaminated steading runoff. In Agriculture and the Environment—Managing Diffuse Agricultural Pollution, Proceedings of the SAC and SEPA Biennial Conference, April 5–6, 2006, Edinburgh (pp. 62–70).
Hill, D. A., Fasham, M., Tucker, G., Shewry, M., Shaw, P. (2005). Handbook of biodiversity methods: survey, evaluation and monitoring (pp. 219–222). Cambridge University Press.
Horton, R. K. (1965) An index number system for rating water quality. Journal of the Water Pollution Control Federation, 37(3), 300–305.
Hyndman, R. J., Athanasopoulos, G. (2013). Forecasting: principles and practice. OTexts.
Kasperczyk, N., Knickel, K. (2006). The analytic hierarchy process (AHP). http://www.ivm.vu.nl/en/Images/MCA3_tcm53–161529.pdf.
Macharis, C., Springael, J., De Brucker, K., Verbeke, A. (2004). Promethee and AHP: the design of operational synergies in multicriteria analysis. Strengthening Promethee with ideas of AHP. European Journal of Operational Research, 153, 307–317.
Mamun, A. A., Idris, A. (2008). Revised water quality indices for the protection of rivers in Malaysia. In Twelfth International Water Technology Conference, IWTC12 2008, Alexandria, Egypt (p. 1690)
McClelland, N. I. (1974). Water quality index application in the Kansas River Basin. EPA-907/9-74-001; US EPA Region VII, Kansas City, MO
McNeil, F. M., Thro, E. (1994). Fuzzy logic: A practical approach (p. 294). Boston: Academic Press.
Millet, I., Wedley, W. C. (2002). Modelling risk and uncertainty with the analytic hierarchy process. Journal of Multi-Criteria Decision Analysis, 11, 97–107.
Oram, B. (undated). Monitoring the quality of Surfacewaters. B.F. Environmental Consultants Inc. http://www.water-research.net/watrqualindex/.
Raman, B. V., Reinier, B., & Mohan, S. (2009). Fuzzy logic water quality index and importance of water quality parameters. Air, Soil and Water Research, 2, 51–59.
Ramanathan, R. (2001). A note on the use of the analytic hierarchy process for environmental impact assessment. Journal of Environmental Management, 63, 27–35.
Triantaphyllou, E. (2000). Multi-criteria decision making: a comparative study. Kluwer Academic Publishers (now Springer).
Tripura State Pollution Control Board. (Undated). Assessment of pollution status of Dhani Sagar, Udaipur, South Tripura. http://trpenvis.nic.in/test/doc_files/Dhani%20sagar.doc.
Tripura State Pollution Control Board. (Undated). Environment and ecological assessment of Kalyan Sagar, Udaipur. http://trpenvis.nic.in/test/doc_files/Kalyansagareport.pdf.
Tripura State Pollution Control Board. (Undated). Pollution status assessment of Amarsagar, South Tripura. http://trpenvis.nic.in/test/doc_files/Amarsagar.pdf.
Tripura State Pollution Control Board. (Undated). Pollution status assessment of Mahadeb Dighi, South Tripura. http://trpenvis.nic.in/test/doc_files/Mahadeb%20Dighi.pdf.
Tripura State Pollution Control Board. (Undated). Pollution status assessment of Hrishidas Colony Pond, Pratapgarh; Undated. Pollution Status Assessment of Rana Deghi. http://trpenvis.nic.in/test/doc_files/Rishidas%20Colonyreport.pdf.
Tripura State Pollution Control Board. (Undated). Pollution status assessment of a Deghi situated on the North of Agiye Chala Sangha, Melarmath, Agartala. http://trpenvis.nic.in/test/doc_files/Introduction.doc.
Tyagi, S., Sharma, B., Singh, P., Dobhal, R. (2013). Water quality assessment in terms of water quality index. American Journal of Water Resources, 1(3), 34–38.
Walsh, P., & Wheeler, W. (2012). Working paper: Water quality index aggregation and cost benefit analysis. NCEE Working Paper Series; National Center for Environmental Economics, U.S. Environmental Protection Agency.
Yogendra, K., & Puttaiah, E. T. (2007). Determination of water quality index and suitability of an urban waterbody in Shimoga Town, Karnataka. In Proceedings of Taal 2007: The 12th World Lake Conference (p. 342).
Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8, 338–353.
Acknowledgements
The authors thankfully acknowledge the active help of Mr. Santanu Bhowmik, Research Scholar, School of Hydro-Informatics Engineering, NIT Agartala during the collection of data for the present study.
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Roy, R. (2018). An Approach to Develop an Alternative Water Quality Index Using FLDM. In: Majumder, M. (eds) Application of Geographical Information Systems and Soft Computation Techniques in Water and Water Based Renewable Energy Problems. Water Resources Development and Management. Springer, Singapore. https://doi.org/10.1007/978-981-10-6205-6_3
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