Open Access

Evaluation of Spatial Variations in Surface Water Quality of Mahanadi River Basin by Geospatial-FUCOM based Prediction Utilising Fuzzy-TOPSIS Approach

Abhijeet Das das.abhijeetlaltu1999@gmail.com
Department of Civil Engineering, C.V. Raman Global University, Bhubaneswar, OD, India


J. Environ. Nanotechnol., Volume 13, No 2 (2024) pp. 298-314

https://doi.org/10.13074/jent.2024.06.241537

PDF


Abstract

This study highlights an evaluation of surface water quality for drinking purposes in Mahanadi River Basin, Odisha using Full Consistency Method (FUCOM) based WQI (FU-WQI), with reliability-based MCDMs (Multiple-criteria decision making) such as Fuzzy-TOPSIS (F-TOP). Water samples from 19 locations were taken during the period 2018-2023 to test 20 physicochemical parameters. Further, the FU-WQI revealed that 36.84% (n=7 sites) and 5.26% (n=1) of samples belong to poor/unsuitable water quality while 47.37% of sites come under the zone of excellent water (n=9 locations). However, 10.53% of samples indicated a medium water quality. The analysis primarily revealed that at 8 samples, deterioration of domestic water, illegally dumped municipal solid waste, and agricultural runoff were the leading sources causing adulteration of the river’s water quality. As a result, a renowned MCDM model, such as F-TOP, was implemented to resolve conflicts regarding the WQI index. Hence, this innovative technique showed that SP-(9) was the most polluted in comparison with other locations, followed by SP-(8), (19), and (2). This was also accompanied by high values of nine crucial parameters, which were also higher than their desirable concentration and highest among all the locations. Following this, the analytic findings also suggest the same from the FU-WQI values 423, 198, 182 and 184 at these locations. However, it was pertinent that the pollution level at these stations was associated more with increasing and diverse anthropogenic activities. So, it is found that river water is convenient for household usage and, after disinfection, fit for human consumption.

Full Text

Reference


Ahmed, H. A., Monitoring and assessing the quality of water in lake Edku using the Remote sensing technology and the Geographic information system (GIS), Aquatic Science and Fish Resources (ASFR), 4(1), 29-39 (2023).

https://doi.org/10.21608/asfr.2023.177137.1028

Ahsan, A., Ahmed, T., Uddin, M. A., Al-Sulttani, A. O., Shafiquzzaman, M., Islam, M. R., Ahmed, M. S., Alamin, Mohadesh, M., Haque, M. N., Al-Mutiry, M. and Masria, A., Evaluation of water quality index (WQI) in and around Dhaka city using groundwater quality parameters, Water, 15(14), 2666 (2023).

https://doi.org/10.3390/w15142666

Anang, E., Tei, M., Antwi, A. B., Aduboffour, V. K. and Anang, B., Assessment of groundwater and surface water quality in a typical mining community: application of water quality indices and hierarchical cluster analyses, J. Water Health, 21(7), 925-938 (2023).

https://doi.org/10.2166/wh.2023.063

Azhari, H. E., Cherif, E. K., Sarti, O., Azzirgue, E. M., Dakak, H., Yachou, H., Esteves da Silva, J. C. G. and Salmoun, F., Assessment of surface water quality using the water quality index (IWQ), multivariate statistical analysis (MSA) and geographic information system (GIS) in Oued Laou Mediterranean Watershed, Morocco. Water, 15(1), 130 (2022).

https://doi.org/10.3390/w15010130

Badr, E. S. A., Tawfik, R. T. and Alomran, M. S., An Assessment of Irrigation Water Quality with Respect to the Reuse of Treated Wastewater in Al-Ahsa Oasis, Saudi Arabia. Water, 15(13), 2488 (2023).

https://doi.org/10.3390/w15132488

Debnath, K., Debnath, P., Choudhury, S., Saha, A. K. and Majumdar, A., A framework of trapezoidal fuzzy Best-Worst method in location selection for surface water treatment plant, Pollution, 10(1), 1-16 (2024).

https://doi.org/10.22059/POLL.2023.349799.1656

Dehghan, R. P., Behnia, M., Nasabpour Molaei, S., Khosravi, H. and Azarnivand, H., Assessment of groundwater resources potential using Improved Water Quality Index (ImpWQI) and entropy-weighted TOPSIS model, Sustainable Water Resour. Manage., 10(1), 7 (2024).

https://doi.org/10.1007/s40899-023-00988-y

Ding, F., Zhang, W., Cao, S., Hao, S., Chen, L., Xie, X., Li, W. and Jiang, M, Optimization of water quality index models using machine learning approaches, Water Res., 243, 120337 (2023).

El, B. A., Taleb, A. and Brouziyne, Y., Groundwater quality forecasting using machine learning algorithms for irrigation purposes, Agric. Water Manage., 245, 106625 (2021).

https://doi.org/10.1016/j.agwat.2020.106625

Ernest, A. and Isaac, D., Geospatial analysis of groundwater quality using GIS: A case study of Ahafo Kenyasi, Ghana, S. Afr. J. Geomatics, 10(1), 32-45 (2021).

https://doi.org/10.4314/sajg.v10i1.3

Feng, Z., Xu, C., Zuo, Y., Luo, X., Wang, L., Chen, H., Xie, X., Yan, D. and Liang, T., Analysis of water quality indexes and their relationships with vegetation using self-organizing map and geographically and temporally weighted regression, Environ. Res., 216, 114587 (2023).

https://doi.org/10.1016/j.envres.2022.114587

Gani, A., Pathak, S., Hussain, A., Ahmed, S., Singh, R., Khevariya, A., Banerjee, A., Ayyamperumal, R., and Bahadur, A., Water quality index assessment of river ganga at Haridwar stretch using multivariate statistical technique, Mol. Biotechnol., 1-24 (2023).

https://doi.org/10.1007/s12033-023-00864-2

Gao, Y., Qian, H., Ren, W., Wang, H., Liu, F. and Yang, F., Hydrogeochemical characterization and quality assessment of groundwater based on integrated-weight water quality index in a concentrated urban area, J. Cleaner Prod., 260, 121006 (2020).

https://doi.org/10.1016/j.jclepro.2020.121006

Ghorbani, M. K., Talebbeydokhti, N., Hamidifar, H., Samadi, M., Nones, M., Rezaeitavabe, F. and Heidarifar, S., Improving the Quality of Education in Water Resources Engineering: A Hybrid Fuzzy-AHP-TOPSIS Method, Geoscience Communication Discussions, 2023, 1-16 (2023).

https://doi.org/10.5194/gc-2022-16

Gupta, D. and Mishra, V. K., Development of entropy-river water quality index for predicting water quality classification through machine learning approach, Stochastic Environ. Res. Risk Assess., 37(11), 4249-4271 (2023).

https://doi.org/10.1007/s00477-023-02506-0

Islam, M. S, Hydrogeochemical Evaluation and Groundwater Quality, Springer (2023).

https://doi.org/10.1007/978-3-031-44304-6

Khan, A., Khan, M. S., Egozcue, J. J., Shafique, M. A., Nadeem, S. and Saddiq, G., Irrigation suitability, health risk assessment and source apportionment of heavy metals in surface water used for irrigation near marble industry in Malakand, Pakistan, Plos one, 17(12), e0279083 (2022).

https://doi.org/10.1371/journal.pone.0279083

Kumar, M. D. and Bassi, N., The climate challenge in managing water: Evidence based on projections in the Mahanadi River basin, India, Front. Water, 3, 662560 (2021).

https://doi.org/10.3389/frwa.2021.662560

Kurwadkar, S., Sethi, S. S., Mishra, P. and Ambade, B., Unregulated discharge of wastewater in the Mahanadi River Basin: Risk evaluation due to occurrence of polycyclic aromatic hydrocarbon in surface water and sediments, Mar. Pollut. Bull., 179, 113686 (2022).

https://doi.org/10.1016/j.marpolbul.2022.113686

Liu, J., Peng, Y., Li, C., Gao, Z. and Chen, S., Characterization of the hydrochemistry of water resources of the Weibei Plain, Northern China, as well as an assessment of the risk of high groundwater nitrate levels to human health, Environ. Pollut., 268, 115947 (2021).

https://doi.org/10.1016/j.envpol.2020.115947

Mahammad, S., Islam, A. and Shit, P. K., Geospatial assessment of groundwater quality using entropy-based irrigation water quality index and heavy metal pollution indices, Environ. Sci. Pollut. Res., 30(55), 116498-116521 (2023).

https://doi.org/10.1007/s11356-022-20665-5

Majumder, P., An integrated trapezoidal fuzzy FUCOM‐TOPSIS method to determine alternatives' ranking and utilization in the water treatment plant, Environ. Prog. Sustainable Energy, 42(4), e14096 (2023).

https://doi.org/10.1002/ep.14096

Markad, A. T., Landge, A. T., Kulkarni, A. S., Sutar, V. B. and Meshre, S. D., Correlation analysis of various water quality parameters of the tiru reservoir, Maharashtra, India, International Journal of Bio-resource and Stress Management, 14(10), 1411-1429 (2023).

https://doi.org/10.23910/1.2023.4816b

Nabizadeh, R., Yousefzadeh, S., Yaghmaeian, K., Alimohammadi, M. and Mokhtari, Z., Bottled water quality ranking via the multiple-criteria decision-making process: a case study of two-stage fuzzy AHP and TOPSIS, Environ. Sci. Pollut. Res., 29(14), 20437–20448 (2022).

https://doi.org/10.1007/s11356-021-16931-7

Nawaz, R., Nasim, I., Irfan, A., Islam, A., Naeem, A., Ghani, N., Irshad, M. A., Latif, M., Nisa, B. U. and Ullah, R., Water quality index and human health risk assessment of drinking water in selected urban areas of a Mega City, Toxics, 11(7), 577 (2023).

https://doi.org/10.3390/toxics11070577

Nayak, P. C., Wagh, P., Venkatesh, B., Thomas, T. and Srivastav, R., Statistical Downscaling of Precipitation for Mahanadi Basin in India—Prediction of Future Streamflows. In Modern River Science for Watershed Management: GIS and Hydrogeological Application, Cham: Springer Nature Switzerland, 281-307 (2024).

https://doi.org/10.1007/978-3-031-54704-1_15

Nemati, A., Zolfani, S. H. and Khazaelpour, P., A novel gray FUCOM method and its application for better video games experiences, Expert Systems with Applications, 234, 121041 (2023).

https://doi.org/10.1016/j.eswa.2023.121041

Nguyen, M. H., Tran, T. A., Van, H. T., Hoang, T. H. N., Phan, P. C. M., Nguyen, C. L., Nguyen, D. T. and Pham, T. H., Surface water quality assessment in the Bach Dang River basin, Vietnam: using water quality index and geographical information system methods, Environ. Res. Commun., 5(7), 075015 (2023).

https://doi.org/10.1088/2515-7620/ace87e

Pandey, S., Kumari, N. and Al Nawajish, S., Land use land cover (LULC) and surface water quality assessment in and around selected dams of Jharkhand using water quality index (WQI) and Geographic Information System (GIS), J. Geol. Soc. India, 99(2), 205-218 (2023).

https://doi.org/10.1007/s12594-023-2288-y

Pati, S. S., Nayak, S., Mishra, S., Panda, B. S., Mahala, S. S., Mohanty, S. K. Behera, R., Mallick, N., and Murugesan, K., A comprehensive study of the estuary sea environment in the Bay of Bengal, near the Mahanadi River confluence, Discover Water, 3(1), 20 (2023).

https://doi.org/10.1007/s43832-023-00044-y

Paul, J. C., Mohapatra, P., Das, D. M., Nandy, P. K., Behera, S. and Sulagna, S., Identification of suitable sites for construction of soil and water conservation structures in Salebhata catchment of Mahanadi River basin using geo-spatial technique, J. Soil Water Conserv., 22(4), 319-327 (2023).

https://doi.org/10.5958/2455-7145.2023.00041.3

Radha, S. and Mahalingam, S., Evaluation of Groundwater Quality for Drinking & Irrigation Using Water Quality Index in Korattaliayar Watershed, Tamil Nadu, India, Educational Administration: Theory and Practice, 30(5), 9238-9249 (2024).

https://doi.org/10.53555/kuey.v30i5.4538

Ravindra, B., Subba Rao, N. and Dhanamjaya Rao, E. N., Groundwater quality monitoring for assessment of pollution levels and potability using WPI and WQI methods from a part of Guntur district, Andhra Pradesh, India. Environment, Environ. Dev. Sustainability, 25(12), 14785-14815 (2023).

https://doi.org/10.1007/s10668-022-02689-6

Rout, J. and Sahoo, G., Assessment of River Health through Water and Biological Characteristics, River Health and Ecology in South Asia: Pollution, Restoration, and Conservation, 127-153 (2022).

https://doi.org/10.1007/978-3-030-83553-8_7

Sadeghi, H., Darzi, A. G., Voosoghi, B., Garakani, A. A., Ghorbani, Z. and Mojtahedi, S. F. F., Assessing the vulnerability of Iran to subsidence hazard using a hierarchical FUCOM-GIS framework, Remote Sens. Appl.: Soc. Environ., 31, 100989 (2023).

https://doi.org/10.1016/j.rsase.2023.100989

Sajina, A. M., Sudheesan, D., Samanta, S., Paul, S. K., Bhowmick, S., Nag, S. K., Kumar, V. and Das, B. K., Development and validation of a fish-based index of biotic integrity for assessing the ecological health of Indian Rivers Mahanadi and Kathajodi-Devi. Aquatic Ecosystem Health & Management, 25(2), 25-35 (2022).

https://doi.org/10.14321/aehm.025.02.25

Saqib, N., Rai, P. K., Kanga, S., Kumar, D., Đurin, B. and Singh, S. K., Assessment of Ground Water Quality of Lucknow City under GIS Framework Using Water Quality Index (WQI). Water, 15(17), 3048 (2023).

Şimşek, A. and Mutlu, E., Assessment of the water quality of Bartın Kışla (Kozcağız) Dam by using geographical information system (GIS) and water quality indices (WQI). Environmental Science and Pollution Research, 30(20), 58796-58812 (2023).

https://doi.org/10.3390/w15173048

Singh, N. and Singh, K. R., Application of TOPSIS–a multi criteria decision making approach in surface water quality assessment. In Environmental Degradation: Monitoring, Assessment and Treatment Technologies, Cham: Springer International Publishing, 225-232 (2022).

Talal, M., Alamoodi, A. H., Albahri, O. S., Albahri, A. S. and Pamucar, D., Evaluation of remote sensing techniques-based water quality monitoring for sustainable hydrological applications: an integrated FWZIC-VIKOR modelling approach. Environment, Dev. Sustainability, 1-45 (2023).

https://doi.org/10.1007/s10668-023-03432-5

Uddin, M. G., Diganta, M. T. M., Sajib, A. M., Hasan, M. A., Moniruzzaman, M., Rahman, A., Olbert, A. I. and Moniruzzaman, M., Assessment of hydrogeochemistry in groundwater using water quality index model and indices approaches, Heliyon, 9(9) (2023).

https://doi.org/10.1016/j.heliyon.2023.e19668

Wang, P. and Deng, H., Research on regional water environmental carrying capacity based on GIS and TOPSIS comprehensive evaluation model, Environ. Sci. Pollut. Res., 30(20), 57728-57746 (2023).

https://doi.org/10.1007/s11356-023-26574-5

WHO Guidelines for Drinking-Water Quality. World Health Organization (2017).

Zafar, M. M., Sulaiman, M. A., Prabhakar, R. and Kumari, A., Evaluation of the suitability of groundwater for irrigational purposes using irrigation water quality indices and geographical information systems (GIS) at Patna (Bihar), India, Int. J. Energy Water Resour., 8(2), 241–254 (2022).

https://doi.org/10.1007/s42108-022-00193-1

Contact Us

Powered by

Powered by OJS