Case Studies
Dec 6, 2021

Water-Quality-Based Ranking and Benchmarking of Rivers in India Using a Multicriteria Decision-Making Technique

Publication: Journal of Hazardous, Toxic, and Radioactive Waste
Volume 26, Issue 2

Abstract

This study presents a framework for water-quality-based ranking of river stretches by employing a modified multicriteria decision-making method, Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), that coupled water-quality indicators with their prescribed standards. The methodology was applied to rank a total of 468 river stretches located across 19 states in India based on eight water-quality indicators. These indicators were dissolved oxygen (DO), temperature, conductivity, pH, biochemical oxygen demand (BOD), nitrate (NO3−), fecal coliform (FC), and total coliform (TC). The surface water classification based on “designated best use criteria,” which classify water bodies into five classes, namely A, B, C, D, and E was used to develop the standard matrix for use in TOPSIS. The results revealed that out of the top 10 best river stretches for water quality, the first four were located on the Beas River in the state of Punjab. These best stretches were located at Harike, Gowindwal, d/s Pathankot, Talwara, and G.T. Road near Kapurthala. The next best five in ranking were located on tributaries of the Indus river, passing through the northern states of Punjab and Himachal Pradesh. The bottom/worst 10 river stretches were all located in urban areas with high levels of population and industrialization. These were the Yamuna at Okhla, downstream of Shahdara Drain in Delhi; Vasishta at Salem in Tamilnadu; Arkavathi d/s of Kanakapura in Karnataka; the Yamuna at Nizamuddin in Delhi; and Ghatprabha at the town of Gokak in Karnataka state. It was observed that the best stretches were those with high DO, low BOD, and low FC and TC, whereas the worst polluted stretches were those with very high levels of BOD, FC, and TC. To the best of the authors’ knowledge, this is the first attempt wherein a modified TOPSIS involving the coupling of water-quality indicators and their prescribed standards has been used to rank river stretches. The findings of this study will have implications for the pollution control authorities and researchers in applying the proposed approach in the development of effective and robust river water-quality management plans.

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Acknowledgments

This study was carried out as part of the first author’s doctoral studies at Harcourt Butler Technical University, Kanpur. The financial support received by the researcher through the TEQIP-II project is acknowledged.

References

Abrishamchi, A., A. Ebrahimian, M. Tajrishi, and M. A. Mariño. 2005. “Case study: Application of multicriteria decision making to urban water supply.” J. Water Resour. Plann. Manage. 131 (4): 326–335. https://doi.org/10.1061/(ASCE)0733-9496(2005)131:4(326).
Afshar, A., M. A. Mariño, M. Saadatpour, and A. Afshar. 2011. “Fuzzy TOPSIS multi-criteria decision analysis applied to Karun Reservoirs System.” Water Resour. Manage. 25 (2): 545–563. https://doi.org/10.1007/s11269-010-9713-x.
Almeida, W. A., M. C. Moreira, and D. D. da Silva. 2014. “Applying water vulnerability indexes for river segments.” Water Resour. Manage. 28 (12): 4289–4301. https://doi.org/10.1007/s11269-014-0745-5.
Bărbulescu, A., and L. Barbeş. 2020. “Assessing the water quality of the Danube River (at Chiciu, Romania) by statistical methods.” Environ. Earth Sci. 79 (6): 122. https://doi.org/10.1007/s12665-020-8872-1.
Behzadian, M. S., O. Khanmohammadi, M. Yazdani, and I. Joshua. 2012. “A state-of the-art survey of TOPSIS applications.” Expert Syst. Appl. 39 (17): 13051–13069. https://doi.org/10.1016/j.eswa.2012.05.056.
Birgani, Y. T., and F. Yazdandoost. 2018. “An integrated framework to evaluate resilient- sustainable urban drainage management plans using a combined-adaptive MCDM technique.” Water Resour. Manage. 32 (8): 2817–2835. https://doi.org/10.1007/s11269-018- 1960-2.
Böhringer, C., and P. E. P. Jochem. 2007. “Measuring the immeasurable — A survey of sustainability indices.” Ecol. Econ. 63 (1): 1–8. https://doi.org/10.1016/j.ecolecon.2007.03.008.
Chanapathi, T., and S. Thatikonda. 2019. “Fuzzy-based regional water quality index for surface water quality assessment.” J. Hazard. Toxic Radioact. Waste 23 (4): 04019010. https://doi.org/10.1061/(ASCE)HZ.2153-5515.0000443.
Chitsaz, N., and M. E. Banihabib. 2015. “Comparison of different multi criteria decision-making models in prioritizing flood management alternatives.” Water Resour. Manage. 29 (8): 2503–2525. https://doi.org/10.1007/s11269-015-0954-6.
Chung, E.-S., P. J. Abdulai, H. Park, Y. Kim, S. R. Ahn, and S. J. Kim. 2017. “Multi-criteria assessment of spatial robust water resource vulnerability using the TOPSIS method coupled with objective and subjective weights in the Han river basin.” Sustainability 9 (1): 29. https://doi.org/10.3390/su9010029.
CPCB (Central Pollution Control Board). 2005. Status of sewage treatment in India. CUPS/61/2005-06. New Delhi, India: CPCB.
CPCB (Central Pollution Control Board). 2018. “Water Quality of Rivers 2016.” ENVIS Centre on Control of Pollution Water, Air and Noise. Accessed October 5, 2018. http://www.cpcbenvis.nic.in/water_quality_data.html.
CPCB (Central Pollution Control Board). 2019. Polluted river stretches in India: Criteria and status. New Delhi, India: CPCB.
Dai, J., J. Qi, J. Chi, S. Chen, J. Yang, L. Ju, and B. Chen. 2010. “Integrated water resource security evaluation of Beijing based on GRA and TOPSIS.” Front. Earth Sci. China 4 (3): 357–362. https://doi.org/10.1007/s11707-010-0120-7.
Estalaki, S. M., A. Abed-Elmdoust, and R. Kerachian. 2014. “Developing environmental penalty functions for river water quality management: Application of evolutionary game theory.” Environ. Earth Science 73: 4201–4213. https://doi.org/10.1007/s12665-014-3706-7.
Gurjar, B. R. 2003. “Interlinking of rivers: A climatic viewpoint.” Curr. Sci. 84 (11): 1381–1382.
Gyumin, L., S. J. Kyung, and E. Chung. 2014. “Robust spatial flood vulnerability assessment for Han River using fuzzy TOPSIS with α-cut level set.” Expert Syst. Appl. 41 (2): 644–654. https://doi.org/10.1016/j.eswa.2013.07.089.
Haider, H., R. Sadiq, and S. Tesfamariam. 2014. “Performance indicators for small- and medium-sized water supply systems: A review.” Environ. Rev. 22 (1): 1–40. https://doi.org/10.1139/er-2013-0013.
Hwang, C. L., and K. Yoon. 1981. Multiple attribute decision making methods and applications. Berlin: Springer.
IS (Indian Standard). 2012. Drinking water specification. IS-10500. New Delhi, India: IS.
Jahanshahloo, G. R., F. H. Lotfi, and M. Izadikhah. 2006. “Extension of the TOPSIS method for decision-making problems with fuzzy data.” Appl. Math. Comput. 181 (2): 1544–1551. https://doi.org/10.1016/j.amc.2006.02.057.
Jain, C. K. 2004. “Metal fractionation study on bed sediments of River Yamuna, India.” Water Res. 38 (3): 569–578. https://doi.org/10.1016/j.watres.2003.10.042.
Jaiswal, M., J. Hussain, S. K. Gupta, M. Nasr, and A. K. Nema. 2019. “Comprehensive evaluation of water quality status for entire stretch of Yamuna River, India.” Environ. Monit. Assess. 191 (4): 208. https://doi.org/10.1007/s10661-019-7312-8.
Jayasooriya, V. M., S. Muthukumaran, A. W. M. Ng, and B. J. C. Perera. 2018. “Multi criteria decision making in selecting stormwater management green infrastructure for industrial areas part 2: A case study with TOPSIS.” Water Resour. Manage. 32 (8): 4297–4312. https://doi.org/10.1007/s11269-018-2052-z.
Jayaswal, K., V. Sahu, and B. R. Gurjar. 2018. “Water pollution, human health and remediation.” In Water remediation. energy, environment, and sustainability, edited by S. Bhattacharya, A. Gupta, A. Gupta, and A. Pandey, 11–27. Singapore: Springer.
Kim, Y., E.-S. Chung, S.-M. Jun, and S. U. Kim. 2013. “Prioritizing the best sites for treated wastewater instream use in an urban watershed using fuzzy TOPSIS.” Resour. Conserv. Recycl. 73 (4): 23–32. https://doi.org/10.1016/j.resconrec.2012.12.009.
Kohanestani, Z. M., R. Ghorbani, and A. Fazel. 2013. “Evaluation of water quality using TOPSIS method in the Zaringol Stream (Golestan Province, Iran).” Int. J. Aquat. Biol. 1 (5): 202–208.
Lai, Y.-J., T.-Y. Liu, and C.-L. Hwang. 1994. “TOPSIS for MODM.” Eur. J. Oper. Res. 76 (3): 486–500. https://doi.org/10.1016/0377-2217(94)90282-8.
Li, P., H. Qian, J. Wu, and J. Chen. 2013. “Sensitivity analysis of TOPSIS method in water quality assessment: I. Sensitivity to the parameter weights.” Environ. Monit. Assess. 185 (3): 2453–2461. https://doi.org/10.1007/s10661-012-2723-9.
Li, P., J. Wu, and H. Qian. 2012. “Groundwater quality assessment based on rough sets attribute reduction and TOPSIS method in a semi-arid area, China.” Environ. Monit. Assess. 184 (8): 4841–4854. https://doi.org/10.1007/s10661-011-2306-1.
Li, Z., T. Yang, C.-S. Huang, C.-Y. Xu, Q. Shao, P. Shi, X. Wang, and T. Cui. 2018. “An improved approach for water quality evaluation: TOPSIS-based informative weighting and ranking (TIWR) approach.” Ecol. Indic. 89: 356–364. https://doi.org/10.1016/j.ecolind.2018.02.014.
Mahmood, K., and R. Batool. 2020. “Comparison of stochastic and traditional water quality indices for mapping groundwater quality zones.” Environ. Earth Sci. 79 (17): 405. https://doi.org/10.1007/s12665-020-09148-3.
Mapswire. 2004. “Physical Map of India.” Free Maps of India. Accessed November 3, 2021. https://mapswire.com/countries/india/.
Marques, R. C., and K. De Witte. 2010. “Towards a benchmarking paradigm in European water utilities.” Public Money Manage. 30 (1): 42–48. https://doi.org/10.1080/09540960903492364.
Masoud, A., B. H. Omid, A. Parisa-Sadat, and A. L. Hugo. 2016. “Determination of the optimal level of water releases from a reservoir to control water quality.” J. Hazard. Toxic Radioact. Waste 20 (2): 04015017. https://doi.org/10.1061/(ASCE)HZ.2153-5515.0000295.
Minatour, Y., H. Bonakdari, and Z. S. Aliakbarkhani. 2016. “Extension of fuzzy delphi AHP based on interval-valued fuzzy sets and its application in water resource rating problems.” Water Resour. Manage. 30 (9): 3123–3141. https://doi.org/10.1007/s11269-016-1335-5.
Mladenović-Ranisavljević, I. I., L. Takić, and D. Nikolić. 2018. “Water quality assessment based on combined multi-criteria decision-making method with index method.” Water Resour. Manage. 32 (7): 2261–2276. https://doi.org/10.1007/s11269-018-1927-3.
NGT. 2019. Original Application No. 673/2018 with Report dated 18.11.2019 on News item titled “More river stretches are now critically polluted: CPCB” published in “The Hindu” authored by Shri Jacob Koshy.
Nikoo, M. R., R. Kerachian, S. Malakpour-Estalaki, S. N. Bashi-Azghadi, and M. M. Azimi-Ghadikolaee. 2011. “A probabilistic water quality index for river water quality assessment: A case study.” Environ. Monit. Assess. 181 (1–4): 465–478. https://doi.org/10.1007/s10661-010-1842-4.
Onu, U. P., X. Quan, and Z. Ling. 2017. “A fuzzy TOPSIS model framework for ranking sustainable water supply alternatives.” Water Resour. Manage. 31: 2579–2593. https://doi.org/10.1007/s11269-017-1636-3.
Paliwal, R., P. Sharma, and A. Kansal. 2007. “Water quality modelling of the river Yamuna (India) using QUAL2E-UNCAS.” J. Environ. Manage. 83 (2): 131–144. https://doi.org/10.1016/j.jenvman.2006.02.003.
Parmar, D. 2006. “Simulation and multi-objective optimization for river water quality management.” Ph.D. thesis, Dept. of Civil Engineering, Indian Institute of Technology.
Parmar, D. L., and A. K. Keshari. 2012. “Sensitivity analysis of water quality for Delhi stretch of the River Yamuna, India.” Environ. Monit. Assess. 184 (3): 1487–1508. https://doi.org/10.1007/s10661-011-2055-1.
Parmar, D. L., and A. K. Keshari. 2014. “Wasteload allocation using wastewater treatment and flow augmentation.” Environ. Model. Assess. 19 (1): 35–44. https://doi.org/10.1007/s10666-013-9378-y.
Parmar, D., and A. K. Keshari. 2018. “Simulating strategic measures for managing water quality in the Delhi stretch of the River Yamuna, India.” Sustainable Water Resour. Manage. 4 (4): 1123–1133. https://doi.org/10.1007/s40899-018-0289-6.
Parmar, D., and A. K. Keshari. 2020. “Discussion of “Water quality–based environmental flow under plausible temperature and pollution scenarios” by Shushobhit Chaudhary, C. T. Dhanya, Arun Kumar, and Rehana Shaik.” J. Hydrol. Eng. 25 (6): 07020004. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001913.
Pathak, S., C. S. P. Ojha, C. Zevenbergen, and R. D. Garg. 2017. “Ranking of storm water harvesting sites using heuristic and non-heuristic weighing approaches.” Water 9 (9): 710. https://doi.org/10.3390/w9090710.
Rao, R. V., and J. M. Davim. 2008. “A decision-making framework model for material selection using a combined multiple attribute decision-making method.” Int. J. Adv. Manuf. Technol. 35 (7–8): 751–760. https://doi.org/10.1007/s00170-006-0752-7.
Sharma, D., and A. Kansal. 2011. “Water quality analysis of River Yamuna using water quality index in the national capital territory, India (2000–2009).” Appl. Water Sci. 1 (3–4): 147–157. https://doi.org/10.1007/s13201-011-0011-4.
Shih, H.-S., H.-J. Shyur, and E. S. Lee. 2007. “An extension of TOPSIS for group decision making.” Math. Comput. Modell. 45 (7–8): 801–813. https://doi.org/10.1016/j.mcm.2006.03.023.
Shukla, A. K., C. S. P. Ojha, R. D. Garg, S. Shukla, and L. Pal. 2020. “Influence of spatial urbanization on hydrological components of the Upper Ganga River Basin, India.” J. Hazard. Toxic Radioact. Waste 24 (4): 04020028. https://doi.org/10.1061/(ASCE)HZ.2153-5515.0000508
Shukla, A. K., C. S. P. Ojha, A. Mijic, W. Buytaert, S. Pathak, R. D. Garg, and S. Shukla. 2018. Population growth, land use and land cover transformations and water quality nexus in Upper Ganga River Basin. Hydrol. Earth Syst. Sci. 22: 4745–4770. https://doi.org/10.5194/hess-22-4745-2018.
Singh, G., N. Patel, T. Jindal, P. Srivastava, and A. Bhowmick. 2020. “Assessment of spatial and temporal variations in water quality by the application of multivariate statistical methods in the Kali River, Uttar Pradesh, India.” Environ. Monit. Assess. 192 (6): 394. https://doi.org/10.1007/s10661-020-08307-0.
Singh, M. R., V. Upadhyay, and A. K. Mittal. 2010. “Addressing sustainability in benchmarking framework for Indian urban water utilities.” J. Infrastruct. Syst. 16 (1): 81–92. https://doi.org/10.1061/(ASCE)1076-0342(2010)16:1(81).
Singh, S., N. C. Ghosh, G. Krishan, S. Kumar, S. Gurjar, and M. K. Sharma. 2019. “Development of indices for surface and ground water quality assessment and characterization for Indian conditions.” Environ. Monit. Assess. 191 (3): 182. https://doi.org/10.1007/s10661-019-7276-8.
Srdjevic, B., Y. D. P. Medeiros, and A. S. Faria. 2004. “An objective multi-criteria evaluation of water management scenarios.” Water Resour. Manage. 18 (1): 35–54. https://doi.org/10.1023/B:WARM.0000015348.88832.52.
Srinivas, R., A. P. Singh, and D. Shankar. 2020. “Understanding the threats and challenges concerning Ganges River basin for effective policy recommendations towards sustainable development.” Environ. Dev. Sustainability 22: 3655–3690. https://doi.org/10.1007/s10668-019-00361-0.
Srivastava, P., T. R. Sreekrishnan, and A. K. Nema. 2017. “Human health risk assessment and PAHs in a stretch of river Ganges near Kanpur.” Environ. Monit. Assess. 189 (9): 445. https://doi.org/10.1007/s10661-017-6146-5.
Sutadian, A. D., N. Muttil, A. G. Yilmaz, and B. J. C. Perera. 2017. “Using the analytic hierarchy process to identify parameter weights for developing a water quality index.” Ecol. Indic. 75: 220–233. https://doi.org/10.1016/j.ecolind.2016.12.043.
Swain, R., and B. Sahoo. 2021. “A simplified modelling framework for real-time assessment of conservative pollutants in ungauged rivers during cloudy periods.” J. Environ. Manage. 293 (1): 112821. https://doi.org/10.1016/j.jenvman.2021.112821.
Vasistha, P., and R. Ganguly. 2020. “Assessment of spatio-temporal variations in lake water body using indexing method.” Environ. Sci. Pollut. Res. 27 (33): 41856–41875. https://doi.org/10.1007/s11356-020-10109-3.
Xu, J., P. Feng, and P. Yang. 2016. “Research of development strategy on China’s rural drinking water supply based on SWOT-TOPSIS method combined with AHP-Entropy: A case in Hebei province.” Environ. Earth Sci. 75 (1): 58. https://doi.org/10.1007/s12665-015-4885-6.
Yilmaz, B., and N. B. Harmancioglu. 2010. “Multi-criteria decision making for water resource management: A case study of the Gediz River Basin, Turkey.” Water S.A 36 (5): 563–576. https://doi.org/10.4314/wsa.v36i5.61990.
Yousefi, H., S. Zahedi, and M. H. Niksokhan. 2018. “Modifying the analysis made by water quality index using multicriteria decision making methods.” J. Afr. Earth. Sci. 138 (2): 309–318. https://doi.org/10.1016/j.jafrearsci.2017.11.019.
Zarghaami, M., R. Ardakanian, and A. Memariani. 2007. “Fuzzy multiple attribute decision making on water resources projects case study: Ranking water transfers to Zayanderud basin in Iran.” Water Int. 32 (2): 280–293. https://doi.org/10.1080/02508060708692207.
Zhang, X. Q., L. Chuan, and L. Huiquing. 2007. “Application of improved TOPSIS method based on coefficient of entropy to comprehensive evaluating water quality.” J. Harbin Inst. Technol. 39 (10): 1670–1672.

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Go to Journal of Hazardous, Toxic, and Radioactive Waste
Journal of Hazardous, Toxic, and Radioactive Waste
Volume 26Issue 2April 2022

History

Received: Jun 8, 2021
Accepted: Oct 2, 2021
Published online: Dec 6, 2021
Published in print: Apr 1, 2022
Discussion open until: May 6, 2022

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Sudha Sippi [email protected]
Research Scholar, Civil Engineering Dept., Harcourt Butler Technical Univ., Kanpur 208002, UP, India. Email: [email protected]
Dipteek Parmar [email protected]
Professor, Civil Engineering Dept., Harcourt Butler Technical Univ., Kanpur 208002, UP, India (corresponding author). Email: [email protected]

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