Skip to main content

Advertisement

Log in

Spatial variations in water quality of river Ganga with respect to land uses in Varanasi

  • Research Article
  • Published:
Environmental Science and Pollution Research Aims and scope Submit manuscript

Abstract

Water quality of a river is a function of surrounding environment and land use due to its connectivity with land, resulting in pollutants finding their way through land. This necessitates a spatially explicit study of river ecology. The paper presents a pioneer study to establish and explore the linkage between land use and water quality of river Ganga in Varanasi district. The land use land cover (LULC) map of 20 km of river stretch for buffer radii of 1000 m in Varanasi revealed that riparian vegetation is negligible in the district. The hierarchical cluster analysis of LULC data suggested that there are two major land use categories, viz., urban and agriculture. The land use wise principal component analysis (PCA) suggested that urbanized areas are major contributor of metals, whereas agricultural land contributes organic matter into the river. The Spearman correlation study revealed that with rising urbanization, the pollutant load into the river increased compared to that from agricultural land use. The statistical analysis of the data clearly concluded that water quality of river Ganga at Varanasi was a function of adjacent land use. The study provides an insight anticipating the Indian government to embrace the relationship of land use to river water quality while formulating policies for the upcoming River Regulation Zone.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  • Allan JD, Erickson DL, Fay J (1997) The influence of catchment land use on stream integrity across multiple spatial scales. Freshw Biol 37(1):149–161

    Article  Google Scholar 

  • American Public Health Association (APHA), American Water Works Association (AWWA), and Water Environment Federation (WEF) (1995) Standard methods for the examination of water and wastewater 19th edition. United Book Press, Inc., Baltimore, Maryland

    Google Scholar 

  • Arumugam N, Fatimah MA, Chiew EFC, Zainalabidin M (2010) Supply chain analysis of fresh fruits and vegetables (FFV): prospects of contract farming. Agr Econ 56(9):435–442

    Google Scholar 

  • Barnes RT, Raymond PA (2009) The contribution of agricultural and urban activities to inorganic carbon fluxes within temperate watersheds. Chem Geol 266(3):318–327

    Article  Google Scholar 

  • Bhardwaj V, Singh DS, Singh AK (2010) Water quality of the Chhoti Gandak River using principal component analysis, Ganga plain, India. J Earth Syst Sc 119(1):117–127

    Article  CAS  Google Scholar 

  • Bu H, Meng W, Zhang Y, Wan J (2014) Relationships between land use patterns and water quality in the Taizi River basin, China. Ecol Indic 41:187–197

    Article  CAS  Google Scholar 

  • Chattopadhyay S, Rani LA, Sangeetha PV (2005) Water quality variations as linked to landuse pattern: a case study in Chalakudy river basin, Kerala. Curr Sci 89(12):2163–2189

    CAS  Google Scholar 

  • Duan W, He B, Takara K, Luo P, Nover D, Sahu N, Yamashiki Y (2013a) Spatiotemporal evaluation of water quality incidents in Japan between 1996 and 2007. Chemosphere 93(6):946–953

    Article  CAS  Google Scholar 

  • Duan W, Takara K, He B, Luo PP, Nover D, Yamashiki Y (2013b) Spatial and temporal trends in estimates of nutrient and suspended sediment loads in the Ishikari River, Japan, 1985 to 2010. Sci Total Environ 461:499–508

    Article  Google Scholar 

  • Duan W, He B, Takara K, Luo PP, Nover D, Hu MC (2015) Modeling suspended sediment sources and transport in the Ishikari River basin, Japan, using SPARROW. Hydrol Earth Syst Sc 19(3):1293–1306

    Article  Google Scholar 

  • Duan W, He B, Nover D, Yang G, Chen W, Meng H, Liu C (2016) Water quality assessment and pollution source identification of the eastern Poyang Lake Basin using multivariate statistical methods. Sustainability 8(2):1–15

    Article  Google Scholar 

  • Ekness P (2013) Ecohydrological impacts of climate and land use changes on watershed systems: a multi-scale assessment for policy. Dissertation, University of Massachusetts, Amherst Scholar Works @ UMass Amherst, paper 789

  • Giri N, Singh OP (2013) Urban growth and water quality in Thimphu, Bhutan. J Urban Environ Eng 7(1):82–95

    Article  Google Scholar 

  • Griffith JA (2002) Geographic techniques and recent applications of remote sensing to landscape-water quality studies. Water Air Soil Poll 138(1–4):181–197

    Article  CAS  Google Scholar 

  • Hashmi F (2013) Correlation between riparian buffers and water quality in North Carolina watersheds. Doctoral dissertation, Duke University

  • Hayashi M (2004) Temperature-electrical conductivity relation of water for environmental monitoring and geophysical data inversion. Environ Monit Assess 96(1–3):119–128

    Article  Google Scholar 

  • Huang F, Wang X, Lou L, Zhou Z, Wu J (2010) Spatial variation and source apportionment of water pollution in Qiantang River (China) using statistical techniques. Water Res 44(5):1562–1572

    Article  CAS  Google Scholar 

  • Huang J, Zhan J, Yan H, Wu F, Deng X (2013) Evaluation of the impacts of land use on water quality: a case study in the Chaohu lake basin. Sci World J 2013:1–7

    Google Scholar 

  • Ierodiaconou D, Laurenson L, Leblanc M, Stagnitti F, Duff G, Salzman S, Versace V (2005) The consequences of land use change on nutrient exports: a regional scale assessment in south-West Victoria, Australia. J Environ Manag 74(4):305–316

    Article  Google Scholar 

  • Indian Council of Agricultural Research (ICAR) (2009) A Science and Technology Newsletter 15(2). www.icar.org.in

  • Iwashita M, Shimamura T (2003) Long-term variations in dissolved trace elements in the Sagami River and its tributaries (upstream area), Japan. Sci Total Environ 312(1):167–179

    Article  CAS  Google Scholar 

  • Jackson DA (1993) Stopping rules in principal components analysis: a comparison of heuristical and statistical approaches. Ecology 74(8):2204–2214

    Article  Google Scholar 

  • Jaiswal JK, Verma N (2013) Land use change detection in Baragaon block, Varanasi District using remote sensing. Int J Eng Sci Innov 2(7):49–53

    Google Scholar 

  • Juahir H, Zain SM, Yusoff MK, Hanidza TT, Armi AM, Toriman ME, Mokhtar M (2011) Spatial water quality assessment of Langat River basin (Malaysia) using environmetric techniques. Environ Monit Assess 173(1–4):625–641

    Article  Google Scholar 

  • Kaiser HF (1974) An index of factorial simplicity. Psychometrika 39(1):31–36

    Article  Google Scholar 

  • Kumari M, Tripathi BD (2014) Source apportionment of wastewater pollutants using multivariate analyses. B Environ Contam Tox 93(1):19–24

    Article  CAS  Google Scholar 

  • Lattin JM, Carroll JD, Green PE (2003) Analyzing multivariate data. Thomson Brooks/Cole, Pacific Grove, CA

    Google Scholar 

  • 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(1):77–89

    Article  CAS  Google Scholar 

  • Manage AB, Scariano SM (2013) An introductory application of principal components to cricket data. J Stat Educ 21(3):1–22

    Google Scholar 

  • McDonald JH (2009) Handbook of biological statistics. Sparky House Publishing, Baltimore, MD

    Google Scholar 

  • Mckenna J (2003) An enhanced cluster analysis program with bootstrap significance testing for ecological community analysis. Environ Model Softw 18(3):205–220

    Article  Google Scholar 

  • Mishra A (2010) Assessment of water quality using principal component analysis: a case study of the river Ganges. J Water Chem Techno 32(4):227–234

    Article  Google Scholar 

  • Mooi E, Sarstedt M (2011) A concise guide to market research—the process, data and methods using IBM SPSS statistics. Springer, Heidelberg Dordrecht, London

    Book  Google Scholar 

  • Mustapha A, Abdu A (2012) Application of principal component analysis & multiple regression models in surface water quality assessment. J Environ Earth Sci 2(2):16–23

    Google Scholar 

  • National Remote Sensing Agency (NRSA) (2005) National Resources census, Department of Space, Government of India

  • National River Conservation Directorate, Ministry of Environment and Forests, Government of India (2009) Status paper on River Ganga—state of environment and water quality. Report, Alternate Hydro Energy Centre, Indian Institute of Technology, Roorkee 1–31

  • Ohri A, Poonam (2012) Urban sprawl mapping and land use change detection using remote sensing and GIS. International Journal of Remote Sensing and GIS 1(1):12–25

    Google Scholar 

  • Osborne JW (2015) What is rotating in exploratory factor analysis? Pract Assess Res Eval 20(2):1–7

    Google Scholar 

  • Ouyang Y (2005) Evaluation of river water quality monitoring stations by principal component analysis. Water Res 39(12):2621–2635

    Article  CAS  Google Scholar 

  • Papafilippaki AK, Kotti ME, Stavroulakis GG (2008) Seasonal variations in dissolved heavy metals in the Keritis River, Chania, Greece. Global nest. The Int J 10(3):320–325

    Google Scholar 

  • Perry J, Vanderklein E (1996) Water quality management of a natural resource. Blackwell Science, Cambridge, Massachusetts, pp 639

  • Poor CJ, McDonnell JJ (2007) The effects of land use on stream nitrate dynamics. J Hydrol 332(1):54–68

    Article  Google Scholar 

  • Prasad R (2007) Phosphorus management in the rice-wheat cropping system of the Indo-Gangetic plains. Better Crops–India:8–11

  • Raj PN, Azeez PA (2010) Land use and land cover changes in a tropical river basin: a case from Bharathapuzha River basin, southern India. J Geogr Inf Sys 2(04):185

    Google Scholar 

  • Ravindra K, Ameena M, Monika R, Kaushik A (2003) Seasonal variations in physico-chemical characteristics of river Yamuna in Haryana and its ecological best-designated use. J Environ Monitor 5(3):419–426

    Article  CAS  Google Scholar 

  • Ren W, Zhong Y, Meligrana J, Anderson B, Watt WE, Chen J, Leung HL (2003) Urbanization, land use, and water quality in Shanghai: 1947–1996. Environ Int 29(5):649–659

    Article  CAS  Google Scholar 

  • Rothwell JJ, Dise NB, Taylor KG, Allott TEH, Scholefield P, Davies H, Neal C (2010) Predicting river water quality across north West England using catchment characteristics. J Hydrol 395(3):153–162

    Article  Google Scholar 

  • Sharma S, Agrawal M (2014) Thwarting changing land use—a step towards Ganga rejuvenation. Curr Sci 107(2):174

    Google Scholar 

  • Shlens J (2014) A tutorial on principal component analysis. arXiv preprint arXiv:1404.1100

  • Shrestha S, Kazama F (2007) Assessment of surface water quality using multivariate statistical techniques: a case study of the Fuji river basin, Japan. Environ Model Softw 22(4):464–475

    Article  Google Scholar 

  • Simeonov V, Stratis JA, Samara C, Zachariadis G, Voutsa A, Anthemidis SM, Kouimtzis T (2003) Assessment of the surface water quality in northern Greece. Water Res 37(17):4119–4124

    Article  CAS  Google Scholar 

  • 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(18):3980–3992

    Article  CAS  Google Scholar 

  • Singh RP (2004) Cultural landscapes and the lifeworld: literary images of Banaras. Pilgrimage and cosmology. Indica Book, Varanasi

    Google Scholar 

  • 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(1):355–374

    Article  CAS  Google Scholar 

  • Sliva L, Williams DD (2001) Buffer zone versus whole catchment approaches to studying land use impact on river water quality. Water Res 35(14):3462–3472

    Article  CAS  Google Scholar 

  • Soman K, Mahamaya C, Ouseph PP (1997) Status of riverine pollution in south Kerala and its relation to physiography and landuse. In Proc. IX Kerala Science Congress, Thiruvananthapuram, pp 93–95

  • Stets EG, Kelly VJ, Crawford CG (2014) Long-term trends in alkalinity in large rivers of the conterminous US in relation to acidification, agriculture, and hydrologic modification. Sci Total Environ 488:280–289

    Article  Google Scholar 

  • Strobl RO, Robillard PD (2008) Network design for water quality monitoring of surface freshwaters: a review. J Environ Manag 87(4):639–648

    Article  Google Scholar 

  • Tiwari TN, Ali (1988) Water quality index for Indian rivers. In: Trivedy RK (ed) Ecology and pollution of Indian rivers, 1st edn. Ashish Publishing House, New Delhi, pp. 271–286

    Google Scholar 

  • Umamaheswari S, Saravanan NA (2009) Water quality of Cauvery River basin in Trichirappalli, India. International Journal of Lakes and Rivers 2(1):1–10

    Google Scholar 

  • Varol M, Gökot B, Bekleyen A, Şen B (2012) Water quality assessment and apportionment of pollution sources of Tigris River (Turkey) using multivariate statistical techniques—a case study. River Res Appl 28(9):1428–1438

    Article  Google Scholar 

  • Vega M, Pardo R, Barrado E, Debán L (1998) Assessment of seasonal and polluting effects on the quality of river water by exploratory data analysis. Water Res 32(12):3581–3592

    Article  CAS  Google Scholar 

  • Ward JV (1989) The four-dimensional nature of lotic ecosystems. J N Am Benthol Soc 8(1):2–8

    Article  Google Scholar 

  • Ward JH Jr (1963) Hierarchical grouping to optimize an objective function. J Amer Statist Assoc 58(301):236–244

    Article  Google Scholar 

  • Yaari Y (1997) Segmentation of expository texts by hierarchical agglomerative clustering. arXiv preprint cmp-lg/9709015

  • Zhang Q, Xu CY, Tao H, Jiang T, Chen YD (2010) Climate changes and their impacts on water resources in the arid regions: a case study of the Tarim River basin, China. Stoch Env Res Risk A 24(3):349–358

    Article  CAS  Google Scholar 

  • Zheng PQ, Baetz BW (1999) GIS-based analysis of development options from a hydrology perspective. J Urban Plan D 125(4):164–180

    Article  Google Scholar 

  • http://varanasi.nic.in/. Accessed date 31 Dec 2015

  • http://www.varanasi.org.in/. Accessed date 2 Jan 2016

  • http://www.businesstoday.in/. Accessed date 1 Jun 2016

  • http://india-wris.nrsc.gov.in/. Accessed date 1 Jun 2016

Download references

Acknowledgments

The authors are thankful to the Head of the Department of Botany, Banaras Hindu University and Director of the Indian Institute of Remote Sensing for providing necessary facilities to carry out the research work. The DST-INSPIRE fellowship, Government of India is also acknowledged for financial support. The authors also acknowledge the anonymous reviewers for their valuable comments and suggestions which helped in improving the manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Madhoolika Agrawal.

Additional information

Responsible editor: Philippe Garrigues

Electronic supplementary material

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sharma, S., Roy, A. & Agrawal, M. Spatial variations in water quality of river Ganga with respect to land uses in Varanasi. Environ Sci Pollut Res 23, 21872–21882 (2016). https://doi.org/10.1007/s11356-016-7411-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11356-016-7411-9

Keywords

Navigation