Abstract
Prevention and control of water pollution for maintaining and restoring the wholesomeness of rivers are unavoidable. The current water quality approach of designated best use has some limitations such as it is non-integrative and inflexible with regard to the consideration of variables and does not provide a separate rating scale for a given designated use. We thus used water quality index approach proposed by the Canadian Council of Ministers of the Environment (CCME WQI) to evaluate and develop a separate rating system for drinking and irrigation purposes of rivers Beas, Satluj and their confluence water of the Indian Punjab using information collected over 4 years (2016 to 2019). River Beas exhibited better water quality compared to river Satluj for irrigation as well as for drinking. The overall drinking water quality index (DWQI) for Beas was marginal (45.5), whereas it was poor for Satluj (37.7) and confluence waters (40.1). The spatial variation in DWQI was greater for Satluj compared to Beas and confluence waters reflecting the effect of dumping of untreated industrial and domestic waste waters. Variables such as Total coliform (T. coli), dissolved oxygen (DO), turbidity and biological oxygen demand (BOD) contributed to the deterioration of DWQI. The irrigation water quality index (IWQI) was good for Beas (86), marginal for Satluj (60.1) and fair for confluence waters (71.2). Faecal coliform (F. coli), Kelly ratio (KR) and %Na contributed to the deterioration of IWQI. Calcium-magnesium-bicarbonate (Ca-Mg-HCO3) was the dominant water type in Beas and confluence waters, whereas for Satluj, in addition to Ca-Mg-HCO3, sodium-potassium-chloride-sulphate and mixed water types were also prevalent. The river waters witnessed salinity hazard but did not pose sodicity hazard except at a few locations of Satluj. The study indicates the need to take location specific measures for improving river water quality for drinking as well as irrigation purposes. The current status of water quality calls for an urgent need to formulate stringent policy regulations to maintain the surface water quality.
Similar content being viewed by others
Data availability
All data are reported within the paper.
References
APHA (2005) Standard methods for the examination of water and waste water, 21st edn. American Public Health Association, Washington, DC, USA
Aravinthasamy P, Karunanidhi D, Subba RN, Subramani T, Srinivasamoorthy K (2020) Irrigation risk assessment of groundwater in a non-perennial river basin of South India: implication from irrigation water quality index (IWQI) and geographical information system (GIS) approaches. Arab J Geosci 13:1125. https://doi.org/10.1007/s12517-020-06103-1
Banch JL, Van Der F-K (2020) Microbiological reduction strategies of irrigation water for fresh produce. J Food Protection 83(6):1072–1087. https://doi.org/10.4315/JFP-19-466
Bascarón M (1979) Establishment of a methodology for the determination of water quality. Boletin Informativo del Medio Ambiente 9:30–51
Bhutiani R, Khanna DR, Kulkarni DB (2016) Assessment of Ganga river ecosystem at Haridwar, Uttarakhand, India with reference to water quality indices. Appl Water Sci 6:107–113. https://doi.org/10.1007/s13201-014-0206-6
Cash KJ, Saffran KA, Wright CR (2001) Application of Canadian Water Quality Index (CWQI) to PPWB monitoring program. Technical Report, CCME
Canadian Council of Ministers of the Environment Water Quality Index-CCME (2001) Canadian water quality guidelines for the protection of aquatic life. CCME water quality index 1.0, User’s Manual, Winnipeg, Manitoba, Canada. https://ccme.ca/en/res/wqimanualen.pdf. Accessed Dec 2020
Center for Disease Control and Prevention (CDC) (2019) Outbreak of E. coli infections linked to romaine lettuce—final update. Available at: https://www.cdc.gov/ecoli/2018/o157h7-11-18/index.html. Accessed 10 January 2020
Ceuppens S, Hessel CT, Rodrigues RQ, Bartz S, Tondo EC, Uyttendaele M (2014) Microbiological quality and safety assessment of lettuce production in Brazil. Int J Food Microbiol 181:67–76
Chandel S, Datta A, Yadav RK (2022) Soil salinity indicators and salinity build-up on saline water irrigation in seed spices. Crop Pasture Sci. https://doi.org/10.1071/CP21585
Chhina MAS (2018) Molasses spill in Beas river a severe setback to aquatic bio diversity in state: top expert. Published in Indian Express. https://indianexpress.com/article/cities/chandigarh/molasses-spill-in-beas-river-a-severe-setback-to-aquatic-bio-diversity-in-state-top-expert-5188841/. Accessed Dec 2021
Cude CG (2001) Oregon water quality index: a tool for evaluating water quality management effectiveness. J Am Water Resour Asso 37(1):125–137
Cuoco E, Colombani N, Darrah TH, Mastrocicco M, Tedesco D (2017) Geolithological and anthropogenic controls on the hydrochemistry of the Volturno river (Southern Italy). Hydrol Processes 31(3):627–638
Tombini DL, Casarin LS, Hessel CT, Batista ACF, Allende A, Tondo EC (2017) Microbial quality of irrigation water used in leafy green production in Southern Brazil and its relationship with produce safety. Food Microbiology 65:105–113
Dimri D, Daverey A, Kumar A, Sharma A (2021) Monitoring water quality of river ganga using multivariate techniques and WQI (Water Quality Index) in Western Himalayan region of Uttarakhand, India. Environ Nano, Mont Manage 15:100375
Dinius SH (1987) Design of an index of water quality. Water Resour Bull Am Water Resour Assoc 23(5):823–843
Elsayed S, Hussein H, Moghanm FS et al (2020) Application of irrigation water quality indices and multivariate statistical techniques for surface water quality assessments in the northern Nile delta Egypt. Water (Switzerland) 12. https://doi.org/10.3390/w12123300
Gosal G (2004) Physical geography of the Punjab. JPS 11(1):20
Government of Punjab (2019) Action plan for clean river Beas. Directorate of Environment and Climate Change Department of Science, Technology and Environment, Government of Punjab
Govt. of Punjab (2019) Action plan for clean river Satluj. Directorate of Environment and Climate Change Department of Science, Technology and Environment, Government of Punjab. https://ppcb.punjab.gov.in/en/action-plans
Heinz-G Stosch (2022) Excel template to plot hydrochemical data into a Piper diagram. https://zenodo.org/record/5994293
Heuzé V, Tran G, Archimède H, Renaudeau D, Lessire M, Lebas F (2015) Sugarcane molasses. Feedipedia, a programme by INRAE, CIRAD, AFZ and FAO. https://www.feedipedia.org/node/561 Last updated on October 9, 2015, 10:54
Horton RK (1965) An index number system for rating water quality. J Water Pollut Control Fed 37(3):300–306
India Water Resources Information System (2022) Mukerian Hydroelectric Project JH01209. https://indiawris.gov.in/wiki/doku.php?id=mukerian_hydroelectric_project_jh01209. Accessed Nov 2022
Khan F, Husain T, Lumb A (2003) Water quality evaluation and trend analysis in selected watersheds of the Atlantic region of Canada. Environ Monit Assess 88(1-3):221–248
Li S, Zhao X, Ye X, Zhang L, Shi L, Xu F, Ding G (2020) The effects of condensed molasses soluble on the growth and development of rapeseed through seed germination, hydroponics and field trials. Agriculture 10(7):260
Lumb A, Halliwell D, Sharma T (2006) Application of CCME water quality index to monitor water quality: a case of the Mackenzie River basin Canada. Environ Monit Assess 113(1-3):411–429
Mostafaei A (2014) Application of multivariate statistical methods and water quality index to evaluation of water quality in the Kashkan River. Environ Manage 53(4):865–881
Mukate S, Wagh V, Panaskar D, Jacobs JA, Sawant A (2019) Development of new integrated water quality index (IWQI) model to evaluate the drinking suitability of water. Ecol Indicators 101:348–354
Nikoo MR, Kerachian R, Malakpour-Estalaki S, BashiAzghadi SN, Azimi-Ghadikolaee MM (2011) A probabilistic water quality index for river water quality assessment: a case study. Environ Monit Assess 181(1-4):465–478
Omonona OV, Amah JO, Olorunju SB, Waziri SH, Ekwe AC, Olofinlade SW (2019) Hydrochemical characteristics and quality assessment of groundwater from fractured Albian carbonaceous shale aquifers around Enyigba-Ameri, southeastern Nigeria. Environ Monit Assess 191:125
Paneerselvam B, Ravichandran N, Li P, Thomas M, Charoenlerkthawin W, Bidorn B (2023) Machine learning approach to evaluate the groundwater quality and human health risk for sustainable drinking and irrigation purposes in South India. Chemosphere 336:139228. https://doi.org/10.1016/j.chemosphere.2023.139228
Panneerselvam B, Muniraj K, Pande C, Ravichandran N (2023) Prediction and evaluation of groundwater characteristics using the radial basic model in semi-arid region India. Int J Environ Anal Chem 103(6):1377–1393
Panneerselvam B, Muniraj K, Thomas M, Ravichandran N, Bidorn B (2021) Identifying influencing groundwater parameter on human health associate with irrigation indices using the Automatic Linear Model (ALM) in a semi-arid region in India. Environ Res 202:111778
Raburu PO, Masese FO, Tonderski KS (2017) Use of macroinvertebrate assemblages for assessing performance of stabilization ponds treating effluents from sugarcane and molasses processing. Environ Monit Assess 189:1–15
Rao NS (2018) Groundwater quality from a part of Prakasam district, Andhra Pradesh, India. Appl Water Sci 80:30. https://doi.org/10.1007/s13201-018-0665-2
Rao NS, Deepali M, Dinakar A, Chandana I, Sunitha B, Ravindra B, Balaji T (2017) Geochemical characteristics and controlling factors of chemical composition of groundwater in a part of Guntur district, Andhra Pradesh, India. Environ Earth Sci 76:747. https://doi.org/10.1007/s12665-017-7093-8
Rao NS, Dinakar A, Sravanthi M, Karuna Kumari B (2021) Geochemical characteristics and quality of groundwater evaluation for drinking, irrigation, and industrial purposes from a part of hard rock aquifer of South India. Environ Sci Poll Res. https://doi.org/10.1007/s11356-021-12404-z
Sharma TC (2002) Canadian water quality index determination for 4 sites in the Mackenzie River basin. Contract KW405-02-0308 Report, September 2002, Ecological Monitoring and Assessment Network, Environment Canada, Burlington, ON, Canada
Shil S, Singh UK, Mehta P (2019) Water quality assessment of a tropical river using water quality index (WQI), multivariate statistical techniques and GIS. Appl Water Sci 9:168. https://doi.org/10.1007/s13201-019-1045-2
Singh S, Hussian A (2016) Water quality index development for groundwater quality assessment of Greater Noida sub-basin, Uttar Pradesh India. Cogent Eng 3(1):1177155
Scottish Research Development Department (1976) Development of a water quality index. Report ARD 3. Applied research and development Engineering Division. HMSO Edinburg, UK
Štambuk-Giljanović N (1999) Water quality evaluation by index in Dalmatia. Water Res 33(16):3423–3440
Suarez DL, Wood JD, Lesch SM (2006) Effect of SAR on water infiltration under a sequential rain-irrigation management system. Agric Water Manag 86:150–164. https://doi.org/10.1016/j.agwat.2006.07.010
Sutadian AD, Muttil N, Yilmaz AG, Perera BJC (2016) Development of river water quality indices—a review. Environ Monit Assess 188:58. https://doi.org/10.1007/s10661-015-5050-0
Uddin MG, Nash S, Olbert AI (2021) A review of water quality index models and their use for assessing surface water quality. Ecol Indic 122. https://doi.org/10.1016/j.ecolind.2020.107218
Wang Z, Hassan MU, Nadeem F, Wu L, Zhang F, Li X (2020) Magnesium fertilization improves crop yield in most production systems: a meta-analysis. Front Plant Sci. 10:1727
Wilcox LV (1955) Classification and use of irrigation water. Oxford Univ XXX:60
Winkler LW (1888) The determination of dissolved oxygen in water. Berlin Deut Chem Gas 21:2843–2855
Acknowledgements
The authors acknowledge the funding received from Punjab Pollution Control Board, India under the project Misc-179 (PC-4964) “Water quality status of Beas: Past and Present trend analysis for future prediction”.
Funding
This work was supported by Punjab Pollution Control Board, under the project Misc-179 (PC-4964) “Water quality status of Beas: Past and Present trend analysis for future prediction”.
Author information
Authors and Affiliations
Contributions
SC: conceptualization and designing of the research work; analysis of data and interpretation; manuscript writing
HK: conceptualization and designing of the research work; analysis of data and interpretation; manuscript writing
DKB: conceptualization and designing of the research work; interpretation of data; manuscript editing; expert opinion and funding
DS: conceptualization and designing of the research work
MK: analysis of data
KS: help in project management
Corresponding author
Ethics declarations
Ethical approval
Not applicable.
Consent to participate
Not applicable.
Consent for publication
Not applicable.
Conflict of interest
The authors declare no competing interests.
Additional information
Responsible Editor: Xianliang Yi
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
ESM 1
(DOC 3992 kb)
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Chandel, S., Kaur, H., Benbi, D.K. et al. Reflecting on changes in the drinking and irrigation water quality of rivers Beas, Satluj and confluence waters. Environ Sci Pollut Res 30, 126132–126147 (2023). https://doi.org/10.1007/s11356-023-30849-2
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11356-023-30849-2