Abstract
River Ganga covers around 26% of India’s land area and sustains diverse ecosystems in this overly populated area. The globally accepted coherent approach of water quality indices (WQIs) and multivariate statistical models (principal component analysis (PCA) and cluster analysis (CA)) were applied on the dataset to evaluate the spatial-temporal variation and pollution source identification and apportionment. Twenty-two hydro-chemical parameters were analyzed by collecting the samples from 20 different vertically elevated monitoring locations for different seasons. The CA evaluation of data, grouped the monitoring locations into five clusters of varied water quality with human perturbations and geo-genic inputs. The PCA analysis of an extensive dataset indicated the seven significant principal components (PCs) explaining 93.0% of the total variance and finalized 8 water quality parameters out of preselected 22 to represent good aspects of the water quality. The seasonal variation in river water quality by the Canadian Council of Ministers for Environment Water Quality Index (CCMEWQI) showed the quality class at a marginal level in summer (62.16), monsoon (59.96), and post-monsoon (60.20) season, whereas in winters (71.18), water quality was in fair condition. The response of National Sanitation Foundation Water Quality Index (NSFWQI) classified the river water in medium quality class for summer, monsoon, post-monsoon, and winter season, respectively. The present observations contribute in the usefulness of these statistical methodologies to interpret and understand large dataset and also provide reliable information to reduce the tedious and cost of water quality monitoring and assessment programs.
Similar content being viewed by others
Data availability
The meteorological data that support the findings of this study are available from the Indian Meteorological Department, Dehradun, India, but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of the Indian Meteorological Department, Dehradun, India.
References
Abbasi T, Abbasi SA (2012) Water quality indices. Elsevier, Amsterdam, p 384
Akkoyunlu A, Akiner ME (2012) Pollution evaluation in streams using water quality indices: a case study from Turkey’s Sapanca Lake Basin. Ecol Indic 18:501–511. https://doi.org/10.1016/j.ecolind.2011.12.018
Alves DD, Riegel RP, de Quevedo DM, Osório DMM, da Costa GM, do Nascimento CA, Telöken F (2018) Seasonal assessment and apportionment of surface water pollution using multivariate statistical methods: Sinos River, southern Brazil. Environ Monit Assess 190:384. https://doi.org/10.1007/s10661-018-6759-3
Aouiti S, Hamzaoui Azaza F, El Melki F, Hamdi M, Celico F, Zammouri M (2020) Groundwater quality assessment for different uses using various water quality indices in semi-arid region of central Tunisia. Environ Sci Pollut Res Int. https://doi.org/10.1007/s11356-020-11149-5
APHA (2017) Standard methods for the examination of water and wastewater (23rd1st Edn). American Public Health Association, Washington, D.C
Bharadwaj R, Gupta A, Garg JK (2017) Evaluation of heavy metal contamination using environmetrics and indexing approach for River Yamuna, Delhi stretch, India. Water Science 31:52–66
BIS (Bureau of Indian Standards) (2012) Specification for drinking water IS 10500: 2012, New Delhi
Bowes MJ, Read DS, Joshi H, Sinha R, Ansari A, Hazra M, Simon M, Vishwakarma R, Armstrong LK, Nicholls DJE, Wickham HD, Ward J, Carvalho LR, Rees HG (2020) Nutrient and microbial water quality of the upper Ganga River, India: identification of pollution sources. Environ Monit Assess 192(8):533. https://doi.org/10.1007/s10661-020-08456-2
Brown RM, McClelland NI, Deininger RA, Tozer RG (1970) Water quality index-do we dare? Water Sew Works 117(10):339–343
Brown RM, McClelland NI, Deininger RA, O'Connor MF (1973) A water quality index crashing the psychological barrier. Indic Environ Qual 173–182
Canadian Council of Ministers of the Environment (2001) Canadian water quality guidelines for the protection of aquatic life: CCME Water Quality Index 1.0, Technical Report. In: Canadian environmental quality guidelines, 1999. Canadian Council of Ministers of the Environment, Winnipeg
Census (2011) Uttarakhand Population 2011. Census 2011. https://www.census2011.co.in/census/state/uttarakhand.html (Accessed 20 April 2020).
Central Pollution Control Board (CPCB) (2016) Bulletin Vol-I. July 2016. http://www.cpcb.nic.in/upload/Latest/Latest_123_SUMMARY_BOOK_FS.pdf (CPCB-Ganga_Trend%20Report-Final.pdf, 2009).
Centre for Science and Environment (CSE) (2013) Status Paper for River Ganga: Past failures and current challenges. http://cdn.cseindia.org/attachments/0.60049800_1505198981_Status-Paper-Ganga-2013.pdf
Chakarborti RK, Jagjit K, Harpreet K (2019) Water shortage challenges and a way forward in India. J AWWA 111:42–49. https://doi.org/10.1002/awwa.1289
Chaudhary M, Mishra S, Kumar A (2016) Estimation of water pollution and probability of health risk due to imbalanced nutrients in River Ganga, India. Int J River Basin Manag 15:53–60. https://doi.org/10.1080/15715124.2016.1205078
Chauhan M (2010) A perspective on watershed development in the Central Himalayan State of Uttarakhand, India. Int J Ecol Environ Sci 36:253–269
Chauhan NS, Dhiman M (2016) Assessment of microbial biodiversity of River Ganga at Haridwar and Rishikesh. Int J Sci Res 4(11)
Corrêa H, Riegel R, Alves D, Osório D, Costa G, Hussain C, Quevedo D (2019) Multivariate statistical analysis and use of geographic information systems in raw water quality assessment. Braz J Environ Sci (Online) 52:1–15. https://doi.org/10.5327/Z2176-947820190431
Dwivedi S, Mishra S, Teipathi RD (2018) Ganga water pollution: a potential health threat to inhabitants of Ganga basin. Environ Int 117:327–338. https://doi.org/10.1016/j.envint.2018.05.015
Egbueri JC, Enyigwe MT (2020) Pollution and ecological risk assessment of potentially toxic elements in natural waters from the Ameka Metallogenic District in Southeastern Nigeria. https://doi.org/10.1080/00032719.2020.1759616
Environmental Information System (ENVIS) (2016) Centre on hygiene, sanitation, sewage treatment systems and technology report. ministry of environment, forests & climate change, Govt of India. http://www.sulabhenvis.nic.in/Database/STST_wastewater_2090.aspx.
Field A (2009) Discovering statistics using IBM SPSS statistics, 3th edn. SAGE, London
Gupta VK, Dobhal R, Nayak A, Agarwal S, Uniyal DP, Singh P, Sharma B, Tyagi S, Singh R (2012) Toxic metal ions in water and their prevalence in Uttarakhand, India. Water Sci Technol Water Supply 12:773–782
Gupta N, Pandey P, Hussain J (2017) Effect of physicochemical and biological parameters on the quality of river water of Narmada, Madhya Pradesh, India. Water Sci 31(1):11–23. https://doi.org/10.1016/j.wsj.2017.03.002
Herojeet R, Rishi Madhuri S, Kishore N (2015) Integrated approach of heavy metal pollution indices and complexity quantification using chemometric model in the Sirsa Basin, Nalagarh valley, Himachal Pradesh. India Chin J Geochem 34:620–633. https://doi.org/10.1007/s11631-015-0075-1
Hossain M, Patra PK (2020) Water pollution index – a new integrated approach to rank water quality. Ecol Indic 117:106668. https://doi.org/10.1016/j.ecolind.2020.106668
IIRS (2014) Glacial lake outburst flood hazard assessment in a part of Uttarakhand, India (Thesis). pp. 42 Amit Anand.
Immerzeel WW, Van Beek LPH, Bierkens MFP (2010) Climate change will affect the Asian water towers. Science 328:1382–1385
Jain CK (2002) A hydro-chemical study of a mountainous watershed: the Ganga, India. Water Res 36:1262–1274
Jaiswal D, Pandey J (2019) Investigations on peculiarities of land-water interface and its use as a stable testbed for accurately predicting changes in ecosystem responses to human perturbations: a sub-watershed scale study with the Ganga River. J Environ Manag 238:178–193. https://doi.org/10.1016/j.jenvman.2019.02.126
Kala CP (2014) Deluge, disaster and development in Uttarakhand Himalayan region of India: challenges and lessons for disaster management. Int J Disaster Risk Reduct 8:143–152. https://doi.org/10.1016/j.ijdrr.2014.03.002
Kansal A, Siddiqui NA, Gautam A (2013) Assessment of heavy metals and their interrelationships with some physicochemical parameters in eco-efficient rivers of Himalayan region. Environ Monit Assess 185:2553–2563
Katiyar S (2011) Impact of tannery effluent with special reference to seasonal variation on physico–chemical characteristics of river water at Kanpur (U.P), India. J Environ Anal Toxicol 1:1–7
Kazi T, Arain MB, Jamali MK, Jalbani N, Afridi HI, Sarfraz RA, Baig JA, Shah AQ (2009) Assessment of water quality of polluted lake using multivariate statistical techniques: a case study. Ecotoxicol Environ Saf 72:301–309
Khan MYA, Gani KM, Chakrapani GJ (2017) Spatial and temporal variations of physicochemical and heavy metal pollution in Ramganga River—a tributary of River Ganges, India. Environ Earth Sci 76:231. https://doi.org/10.1007/s12665-017-6547-3
Kumar A, Sharma MP (2015) Assessment of water quality of Ganga river stretch near Koteshwar hydropower station, Uttarakhand, India. Int J Mech Prod Eng 3(8):82–85
Kumar A, Bhambri R, Tiwari SK, Verma A, Gupta AK, Kawishwar P (2019a) Evolution of debris flow and moraine failure in the Gangotri Glacier region, Garhwal Himalaya: hydro-geomorphological aspects. Geomorphology 333:152–166. https://doi.org/10.1016/j.geomorph.2019.02.015
Kumar B, Singh UK, Ojha SN (2019b) Evaluation of geochemical data of Yamuna River using WQI and multivariate statistical analyses: a case study. Int J Riv Basin Manag 17:143–155. https://doi.org/10.1080/15715124.2018.1437743
Kumari M, Tripathi S, Pathak V, Tripathi BD (2012) Chemometric characterization of river water quality. Environ Monit Assess 185:3081–3092. https://doi.org/10.1007/s10661-012-2774-y
Li Z, Fang Y, Zeng G, Li J, Zhang Q, Yuan Q, Wang Y, Ye F (2009) Temporal and spatial characteristics of surface water quality by an improved universal pollution index in red soil hilly region of South China: a case study in Liuyanghe River watershed. Environ Geol 58:101–107
Liu CW, Lin KH, Kuo YM (2003) Application of factor analysis in the assessment of groundwater quality in a blackfoot disease area in Taiwan. Sci Total Environ 313:77–89. https://doi.org/10.1016/S0048-9697(02)00683-6
Maji KJ, Chaudhary R (2019) Principal component analysis for water quality assessment of the Ganga river in Uttar Pradesh, India. Water Res 46:789–806. https://doi.org/10.1134/S0097807819050129
Matta G, Srivastava S, Pandey RR, Saini KK (2017) Assessment of physicochemical characteristics of Ganga Canal water quality in Uttarakhand. Environ Dev Sustain 19:419–431. https://doi.org/10.1007/s10668-015-9735-x
Matta G, Naik PK, Machell J, Kumar A, Gjyli L, Tiwari AK, Kumar A (2018) Comparative study on seasonal variation in hydro-chemical parameters of Ganga River water using comprehensive pollution index (CPI) at Rishikesh, (Uttarakhand) India. Desalin Water Treat 118:87–95. https://doi.org/10.5004/dwt.2018.22487
Matta G, Kumar A, Nayak A, Kumar P, Kumar A, Tiwari AK (2020) Determination of water quality of Ganga River system in Himalayan region, referencing indexing techniques. Arab J Geosci 13:1027. https://doi.org/10.1007/s12517-020-05999-z
Miller JD, Immerzeel WW, Rees G (2012) Climate change impacts on glacier hydrology and river discharge in the Hindu Kush–Himalayas. Mt Res Dev 32(4):461–467. https://doi.org/10.1659/MRD-JOURNAL-D-12-00027.1
Mishra A (2010) Assessment of water quality using principal component analysis: a case study of the river Ganges. J Water Chem Technol 32:227–234. https://doi.org/10.3103/S1063455X10040077
Mitra S, Sarkar SK, Raja P, Biswas JK, Murugan K (2018) Dissolved trace elements in Hooghly (Ganges) River Estuary, India: risk assessment and implications for management. Mar Pollut Bull 133(March):402–414. https://doi.org/10.1016/j.marpolbul.2018.05.057
NIH (National Institute of Hydrology) (n.d.) Strategic Programmes, Large Initiatives and Coordinated Action Enabler (SPLICE) and Climate Change Programme (CCP). National Mission for Sustaining the Himalayan Ecosystem (NMSHE). http://117.252.14.242/NMSHE/area.html (Accessed 26 July 2020).
NMCG (National Mission for Clean Ganga) (n.d.) Namami Gange Pragramme. https://nmcg.nic.in/NamamiGanga.aspx (Accesses 07 August 2020).
Noori R, Khakpour A, Omidvar B (2010) Comparison of ANN and principal component analysis-multivariate linear regression models for predicting the river flow based on developed discrepancy ratio statistic. Expert Syst Appl 37:5856–5862
Pathak H, Limaye SN (2011) Study of seasonal variation in groundwater quality of Sagar city (India) by principal component analysis. J Chem 8:2000–2009
Rani N, Sinha RK, Prasad K, Kedia DK (2011) Assessment of temporal variation in water quality of some important rivers in middle Gangetic plain, India. Environ Monit Assess 174:401–415
Sangewar CV, Shukla SP, Singh RK, Geological Survey of India (2009) Inventory of the Himalayan glaciers: a contribution to the international hydrological programme. Director General, Geological Survey of India, Calcutta
Semwal N, Akolkar P (2006) Water quality assessment of scared Himalayan Rivers of Uttarakhand. Curr Sci 91(4):486–496
Sharma M, Kansal A, Jain S, Sharma P (2015) Application of multivariate statistical techniques in determining the spatial temporal water quality variation of ganga and Yamuna rivers present in Uttarakhand State, India. Water Qual Expo Health 7:567–581. https://doi.org/10.1007/s12403-015-0173-7
Sharma MK, Thayyen RJ, Jain CK, Arora M, Lal S (2019) Assessment of system characteristics of Gangotri glacier headwater stream. Sci Total Environ 662:842–851. https://doi.org/10.1016/j.scitotenv.2019.01.229
Shetty S, Tharavathy NC, Lobo RO, Shafakatullah N (2013) Seasonal variation in the physico-chemical characteristics along the upstream of Tungabhadra River, Western Ghats India. Int J Plant Anim Environ Sci 3(1):242–246
Shrestha S, Karama F (2007) Assessment of surface water quality using multivariate statistical techniques: a case study of the Fuji river basin. Japan. Environmental Modelling & Software 22(4):464–475
Singh UK, Kumar B (2017) Pathways of heavy metals contamination and associated human health risk in Ajay River basin, India. Chemosphere 174:183–199. https://doi.org/10.1016/j.chemosphere.2017.01.103
Singh R, Pandey J (2019) Non-point source-driven carbon and nutrient loading to Ganga River (India). Chem Ecol 35(4):344–360. https://doi.org/10.1080/02757540.2018.1554061
Singh G, Patel N, Jindal T et al (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 192:394. https://doi.org/10.1007/s10661-020-08307-0
Singh KP, Malik A, Mohan D, Sinha S (2004) Multivariate statistical techniques for the evaluation of spatial and temporal variations in water quality of Gomti River (India)-a case study. Water Res 38:3980–3992. https://doi.org/10.1016/j.watres.2004.06.011
Singh KP, Malik A, Sinha S (2005) Water quality assessment and apportionment of pollution sources of Gomti River (India) using multivariate statistical techniques: a case study. Anal Chim Acta 538:355–374
Sood APP (2014) Anthropogenic activities as a source of high prevalence of antibiotic resistant Staphylococcus aureus in the river ganga. Appl Ecol Environ Res 12(1):33–48
TERI (2017) Study of assessment of water foot prints of India’s long term energy scenarios New Delhi: the Energy and Resources Institute. [Project Report No. 2015WM07]
Tiwari A, Dwivedi AC, Mayank P (2016) Time scale changes in the water quality of the Ganga River, India and estimation of suitability for exotic and hardy fishes. Hydrol Current Res 7:254. https://doi.org/10.4172/2157-7587.1000254
Tripathi M, Singhal SK (2019) Use of principal component analysis for parameter selection for development of a novel water quality index: a case study of river Ganga India. Ecol Indic 96:430–436. https://doi.org/10.1016/j.ecolind.2018.09.025
USEPA Method 200.2 (1999) Sample preparation procedure for spectrochemical determination of total recoverable elements. National Exposure Research Laboratory, Office of Water, US EPA, Cincinnati
Vega M, Pardo R, Barrado E, Deban L (1998) Assessment of seasonal and polluting effects on the quality of river water by exploratory data analysis. Water Res 32:3581–3592
Venkatesh S (2016) Water stress to increase, but so will water-related jobs, says UN report. Down to Earth. https://www.downtoearth.org.in/news/water/water-stress-to-increase-but-so-will-water-related-jobs-says-un-report-53285. (Accessed 26 July 2020)
WHO (2017) Guidelines for drinking-water quality, 4th edn. World Health Organization, Geneva
Wuana RA, Okieimen FE (2011) Heavy metals in contaminated soils: a review of sources, chemistry, risks and best available strategies for remediation. ISRN Ecology 1–20.
Yao T, Thompson LG, Mosbrugger V, Zhang F, Ma Y, Luo T, Xu B, Yang X, Joswiak DR, Wang W (2012) Third pole environment (TPE). Environ Develop 3:52–64
Zotou I, Tsihrintzis VA, Gikas GD (2018) Comparative assessment of various Water Quality Indices (WQIs) in Polyphytos Reservoir-Aliakmon River, Greece. MDPI Proc 2:611. https://doi.org/10.3390/proceedings2110611
Zotou I, Tsihrintzis VA, Gikas GD (2020) Water quality evaluation of a lacustrine water body in the Mediterranean based on different water quality index (WQI) methodologies. J Environ Sci Health A 55:537–548. https://doi.org/10.1080/10934529.2019.1710956
Acknowledgements
The authors are grateful to the Department of Zoology and Environmental Science, Gurukula Kangri Vishwavidyalaya, Haridwar, and Pollution Control Research Institute (PCRI), Haridwar, for providing lab facilities. The Indian Meteorological Department (IMD), Dehradun, is also acknowledged for providing the meteorological data for selected monitoring locations.
Funding
The present work has been financially supported by University Grant Commission (UGC), India, under the scheme of national fellowship (Award No. F1-17.1/2017-18/RGNF-2017-18-SC-UTT-42773).
Author information
Authors and Affiliations
Contributions
Avinash Kumar: methodology, software, validation, formal analysis, investigation, data curation, writing (original draft), and visualization. Gagan Matta: conceptualization, supervision, project administration, and writing–reviewing and editing. S. Bhatnagar: supervision and resources.
Corresponding author
Ethics declarations
Ethics approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
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
(DOCX 15 kb)
Rights and permissions
About this article
Cite this article
Kumar, A., Matta, G. & Bhatnagar, S. A coherent approach of Water Quality Indices and Multivariate Statistical Models to estimate the water quality and pollution source apportionment of River Ganga System in Himalayan region, Uttarakhand, India. Environ Sci Pollut Res 28, 42837–42852 (2021). https://doi.org/10.1007/s11356-021-13711-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11356-021-13711-1