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Hydrochemical evaluation of subsurface water in the aquaculture region of coastal India using multivariate statistics, GWQI and GIS

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Abstract

The present work was carried out to evaluate subsurface water quality for drinking purposes in the coastal region of Andhra Pradesh, India. The samples were collected from 80 locations covering in pre-monsoon season (PRM) and post-monsoon season (POM) during 2018–2019. The groundwater mainly consists of Na-Mg-Cl-HCO3 and Na-Cl-HCO3 type explaining the influence of seawater intrusion, marine sediments, and leaching of minerals in clay horizons. The result of principal component analysis (PCA) revealed Na+ and Cl have positive loads on both PC 1 and PC 2 corroborating reverse ion exchange and the anthropogenic activities. Evaporation dominance and dissolved carbonates of clay soils in the groundwater are indicated by Gibbs plots. PCA scores were taken into consideration in develo** a groundwater quality index (GWQI) to classify water quality as excellent to good (4%), poor to very poor (92% in PRM and 70% in POM), and unfit (4% in PRM and 30% in POM) for drinking. Geospatial techniques have been used in preparing spatial and temporal distribution maps for various water quality parameters. The integrated approach adopted in the study are a cost-effective and time saving tool involved in assessing environmental problems more precisely. This study is expected to provide reliable information for stakeholders in understanding various types of pollutants in groundwater chemistry.

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Data availability statement

All data generated or analyzed during this study are included in this article.

References

  • APHA (2012) Standard methods for the examination of water and wastewater,22nd edition. In American Public Health Association (APHA), American Water Works Association (AWWA) and Water Environment Federation (WEF), Washington, D.C., USA

  • Asim, M., & Nageswara Rao, K. (2021). Assessment of heavy metal pollution in Yamuna River, Delhi-NCR, using heavy metal pollution index and GIS. Environmental Monitoring and Assessment. https://doi.org/10.1007/s10661-021-08886-6

    Article  Google Scholar 

  • Banerjee, D., Mukherjee, A., Acharya, S., Chatterjee, D., Mahanta, C., Saha, D., & Raju, D. S. (2012). Contemporary groundwater pollution studies in India: a review. Status report. Proc Indian Sci Acad B Biol Sci, 78, 333–342.

    CAS  Google Scholar 

  • BIS. (2012) Drinking water-specification. Bureau of Indian standards, New Delhi IS: 10500: Vol. Second rev

  • CGWB. (2017).Groundwater year book of Andhra Pradesh. Central Ground Water Board, Ministry of Water Resources, Government of India, New Delhi.

  • Chaurasia, A. K., Pandey, H. K., Tiwari, S. K., Ram, P., Prashant, P., & Arjun, R. (2018). Groundwater Quality assessment using Water Quality Index (WQI) in parts of Varanasi District, Uttar Pradesh, India. Journal of the Geological Society of India, 92, 76–82. https://doi.org/10.1007/s12594-018-0955-1

    Article  CAS  Google Scholar 

  • Davis, S. N., & De Wiest, R. J. M. (1966). Hydrogeology. John Wiley and Sons Inc.

    Google Scholar 

  • FAO. (2019) National Aquaculture Sector Overview-India. National Aquaculture Sector Overview Fact Sheets. Text by Ayyappan, S. In: FAO Fisheries Division [online]. Rome.

  • Gibbs, R. J. (1970). Mechanisms controlling world water chemistry. Science, 80(170), 1088–1090. https://doi.org/10.1126/science.170.3962.1088

    Article  Google Scholar 

  • Gitau, M., Chen, J., & Ma, Z. (2016). Water quality indices as tools for decision making and management. Water Resour Manag, 30, 2591–2610. https://doi.org/10.1007/s11269-016-1311-0

    Article  Google Scholar 

  • Hamzaoui-Azaza, F., Ameur, M., Chaouch, R., et al. (2020). Assessment of groundwater quality based on GIS and geochemical methods: coastal aquifer of Bouficha (North-Eastern Tunisia). Journal of Coastal Conservation. https://doi.org/10.1007/s11852-020-00762-8

    Article  Google Scholar 

  • Helena, B., Pardo, R., Vega, M., Barrado, E., Fernandez, J. M., & Fernandez, L. (2000). Temporal evolution of groundwater composition in an alluvial aquifer (Pisuerga river, Spain) by principal component analysis. Water Research, 34, 807–816.

    Article  CAS  Google Scholar 

  • Helsel, D.R., Hirsch, R.M., Ryberg, K.R., Archfield, S.A.,&Gilroy, E.J. (2020) Statistical methods in water resources: U.S. Geological Survey Techniques and Methods, book 4, chapter A3

  • Hem. J.D. (1985) Study and interpretation of the chemical characteristics of natural water. 2254, USGS water supply paper

  • Islam, M., Zahid, A., Rahman, M., Rahman, M., Islam, M., Akter, Y., Shammi, M., Bodrud- Doza, M., & Roy, B. (2017). Investigation of groundwater quality and its suitability for drinking and agricultural use in the south central part of the coastal region in Bangladesh. Expo Heal, 9, 27–41. https://doi.org/10.1007/s12403-016-0220-z

    Article  CAS  Google Scholar 

  • Jolliffe, I. T., & Cadima, J. (2016). Principal component analysis: a review and recent developments. PhilTransRSocA. https://doi.org/10.1098/rsta.2015.0202

    Article  Google Scholar 

  • Kantamaneni, K., Sudha Rani, N. N. V., Rice, L., Sur, K., Thayaparan, M., Kulatunga, U., Rege, R., Yenneti, K., & Campos, L. C. (2019). A systematic review of coastal vulnerability assessment studies along Andhra Pradesh, India: a critical evaluation of data gathering, Risk Levels and Mitigation Strategies. Water, 11, 393. https://doi.org/10.3390/w11020393

    Article  Google Scholar 

  • Manjie, Li., Zhaowei, L., Mingdong, Z., & Yongcan, C. (2021). A workflow for spatio-seasonal hydro-chemical analysis using multivariate statistical techniques. Water Research. https://doi.org/10.1016/j.watres.2020.116550

    Article  Google Scholar 

  • MOF. (2020) Handbook on Fisheries Statistics: 2020. Ministry of Fisheries, Department of Fisheries, Animal Husbandry & Dairying, Government of India, New Delhi.

  • Muangthong, S., & Shrestha, S. (2015). Assessment of surface water quality using multivariate statistical techniques: Case study of the Nampong River and Songkhram River, Thailand. Environmental Monitoring and Assessment. https://doi.org/10.1007/s10661-015-4774-1

    Article  Google Scholar 

  • Nageswara Rao, K., & Swarna Latha, P. (2019). Groundwater quality assessment using water quality index with a special focus on vulnerable tribal region of Eastern Ghats hard rock terrain, Southern India. Arabian Journal of Geosciences, 12, 1–16. https://doi.org/10.1007/s12517-019-4440-y

    Article  CAS  Google Scholar 

  • Pillay, T.V.R. (1992) Aquaculture and the environment.Oxford, Fishing News Books/Blackwell Scientific Publications Ltda. 189p

  • Piper, A. M. (1944). A graphic procedure in the geochemical interpretation of water-analyses. Transactions. American Geophysical Union, 25, 914–928. https://doi.org/10.1029/TR025i006p00914

    Article  Google Scholar 

  • Pittalis, D., Carrey, R., Da Pelo, S., et al. (2018). Hydrogeological and multi-isotopic approach to define nitrate pollution and denitrification processes in a coastal aquifer (Sardinia, Italy). Hydrogeology Journal, 26, 2021–2040. https://doi.org/10.1007/s10040-018-1720-7

    Article  CAS  Google Scholar 

  • Prasanna, M. V., Chidambaram, S., Gireesh, T. V., & Jabir, A. T. V. (2010). A study on hydrochemical characteristics of surface and sub-surface water in and around Perumal Lake, Cuddalore district, Tamil Nadu, South India. Environment and Earth Science, 63, 31–47. https://doi.org/10.1007/s12665-010-0664-6

    Article  CAS  Google Scholar 

  • Raliengoane, T. P., Ramachandra Rao, G., Lakshmi, G. V., & Chandrasekhar, K. (2019). Effect of aquaculture on ground water quality in Guntur district of Andhra Pradesh, India. Int J Chem Stud, 7, 525–529.

    CAS  Google Scholar 

  • Reddy, A. G. S., Reddy, D. V., & Naik, P. K. (2017). Evaluation of hydrochemical variations in coastal alluvial aquifers of Prakasam district, A.P., India. Arabian Journal of Geosciences. https://doi.org/10.1007/s12517-017-3114-x

    Article  Google Scholar 

  • Senarath, U., & Visvanathan, C. (2001). Environmental Issues in Brackish Water Shrimp Aquaculture in Sri Lanka. Environ Manag, 27, 335–348. https://doi.org/10.1007/s002670010153

    Article  CAS  Google Scholar 

  • Singaraja, C., Chidambaram, S., Anandhan, P., Prasanna, M. V., Thivya, C., Thilagavathi, R., & Sarathidasan, J. (2014). Hydrochemistry of groundwater in a coastal region and its repercussion on quality, a case study—Thoothukudi district, Tamil Nadu, India. Arabian Journal of Geosciences, 7, 939–950. https://doi.org/10.1007/s12517-012-0794-0

    Article  CAS  Google Scholar 

  • Subba Rao, N. (2008). Factors controlling the salinity in groundwaters from a part of Guntur district, Andhra Pradesh, India. Environmental Monitoring and Assessment, 138, 327–341.

    Article  CAS  Google Scholar 

  • Swamee, P. K., & Tyagi, A. (2000). Describing water quality with aggregate index. Journal of Environmental Engineering, 126, 451–455. https://doi.org/10.1061/(asce)0733-9372(2000)126:5(451)

    Article  CAS  Google Scholar 

  • Swarna Latha, P. (2018). Assessment of land use and land cover change related to aquaculture development in Godavari delta of Andhra Pradesh, India. Hill Geogr, XXXIV, 91–102.

  • Umarani, P., Ramu, A., & Kumar, V. (2019). Hydrochemical and statistical evaluation of groundwater quality in coastal aquifers in Tamil Nadu, India. Environment and Earth Science. https://doi.org/10.1007/s12665-019-8414-x

    Article  Google Scholar 

  • UNEP. (2012). Global Environment Outlook 3: Past, Present and Future Perspectives. UNEP/Earthscan: Nairobi, Kenya

  • Varol, S., & Davraz, A. (2015). Evaluation of the groundwater quality with WQI (Water Quality Index) and multivariate analysis: a case study of the Tefenni plain (Burdur/Turkey). Environment and Earth Science, 73, 1725–1744. https://doi.org/10.1007/s12665-014-3531-z

    Article  CAS  Google Scholar 

  • Venkateswarlu, V., Seshaiah, P., Arun, P., & Behra, P. (2019). A study on water quality parameters in shrimp L. vannamei semi-intensive grow out culture farms in coastal districts of Andhra Pradesh, India. Int J Fish Aquat Stud, 7, 394–397.

    Google Scholar 

  • Wagh, V.M., Panaskar, D.B., Muley, A.A., & Mukate, S.V. (2017). Groundwater suitability evaluation by CCME WQI model for Kadava River Basin, Nashik, Maharashtra, India. Model Earth Syst Environ, 1–9.

  • WHO. (2012) Progress on drinking water and sanitation-2012 update. Launched on 6 March 2012

  • Yang, Y., Wenjuan, S., Hu, I. L., Weibo, W., Linna, D., & Wei, X. (2018). Antibiotics and antibiotic resistance genes in global lakes: a review and meta-analysis. Environment International, 116, 60–73. https://doi.org/10.1016/j.envint.2018.04.011

    Article  CAS  Google Scholar 

Download references

Acknowledgements

The first author (PSL) is grateful to the University Grants Commission, New Delhi for funding provided towards the present work in the form of Post-Doctoral Fellowship for Women (F.No.15-1/2013-14/PDFWM-2013-14-GE-AND-19638 (SAII) Dated 18-Apr-2014). The authors specially thank the reviewers and the editor for their suggestions for improving the manuscript at various stages.

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PSL contributed in laboratory experimental analysis of hydrochemical parameters, development of methodology, GIS analysis, proofreading of the manuscript and her UGC-PDF project funds of the project is leading to this publication. KNR involved in the conceptualization of objectives of the research paper, original draft preparation, and statistical analysis of the dataset. PVRK involved in analysis and proof reading of the manuscript. And all authors were involved in reviewing and editing the final manuscript. All authors read and approved the final manuscript.

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Correspondence to P. Swarna Latha.

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Latha, P.S., Rao, K.N. & Kumar, P.V.R. Hydrochemical evaluation of subsurface water in the aquaculture region of coastal India using multivariate statistics, GWQI and GIS. Int J Energ Water Res (2022). https://doi.org/10.1007/s42108-022-00203-2

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