Skip to main content

Advertisement

Log in

Spatiotemporal evaluation and assessment of shallow groundwater quality for irrigation of a tropical coastal groundwater basin

  • GIS Applied to Soil-Agricultural Health for Environmental Sustainability
  • Published:
Environmental Science and Pollution Research Aims and scope Submit manuscript

A Correction to this article was published on 23 August 2022

This article has been updated

Abstract

The present study aims at analyzing groundwater quantity and quality simultaneously to identify its availability and suitability for irrigation. Various water quality indices were used to assess (i) origin of the groundwater sources (Gibbs diagram); (ii) salinity, alkalinity, and sodium hazard (sodium adsorption ratio, exchangeable sodium percentage, Kelly’s ratio, US Salinity Laboratory diagram, Wilcox diagram); (iii) magnesium hazard (magnesium absorption ratio); (iv) carbonate and bicarbonate hazard (residual sodium carbonate); (v) hydro-chemical facie and evaluation (Piper diagram and Expanded Durov diagram); and (vi) statistical relationship among the variables, sample sites, and spatiotemporal grouping (principal component analysis and cluster analysis). The overall objective is to quantify the irrigation suitability of groundwater reserves. Gibb’s diagram suggests that the groundwater quality is mainly controlled by rock-water interaction. Piper trilinear showed the presence of various types of hydro-chemical facies such as Ca–Mg–HCO3, mixed, and sodium bicarbonate. The expanded Durov diagram revealed the hydro-chemical evolution, grouping, and areal distribution of the groundwater samples. USSL diagram, Wilcox diagram, Kelly’s ratio, magnesium hazard, and permeability index suggest that the groundwater quality is suitable for irrigation. Kaiser-Meyer-Olkin (KMO) and Bartlett’s tests confirmed the applicability of principal component analysis (PCA), which indicates that groundwater quality is controlled by rock-water interaction mainly. It also suggests that the groundwater has carbonate dissolution, which indicates the groundwater’s hardness increased. Cluster analysis (CA) from the year 2000 to 2010 shows 4 to 8 groups present within the study area. Irrigation water quality suitability map and predicted groundwater potential zone map together act as a master tool for deciding tube well location, pumping schedule, and crop planning for the sustainability of the agriculture eco-system in the study area. The implementation of the aforementioned activities in the study area will further stop the advancement of the seawater intrusion front. The methodology shows the potential applicability for similar coastal groundwater basins worldwide with or without modification.

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
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

Availability of data and materials

The data that support the findings of this study are available from CGWB, GWSI, Water Resources Dept., and Lift Irrigation Dept., 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 from CGWB, GWSI, Water Resources Dept., and Lift Irrigation Dept.

Change history

References

  • Al-Bassam AM, Khalil AR (2012) DurovPwin: a new version to plot the expanded Durov diagram for hydrochemical data analysis. Comput Geosci 42:1–6

    Article  CAS  Google Scholar 

  • Al-bassam AM, Khalil AR, Mohammed O, Kassem K (2013) Automatic analysis reporting for hydro-chemical data using updated DurovPwin program. J Agric Sci Technol B 3:757–768

    Google Scholar 

  • Askri B (2015) Hydrochemical processes regulating groundwater quality in the coastal plain of Al Musanaah, Sultanate of Oman. J Afr Earth Sci 106:87–98

    Article  CAS  Google Scholar 

  • Banoeng-Yakubo B, Yidana SM, Emmanuel N, Akabzaa T, Asiedu D (2009) Analysis of groundwater quality using water quality index and conventional graphical methods: the Volta Region, Ghana. Environ Earth Sci 59(4):867–879

    Article  CAS  Google Scholar 

  • Bhunia GS, Keshavarzi A, Shit PK, Omran E-SE, Bagherzadeh A (2018) Evaluation of groundwater quality and its suitability for drinking and irrigation using GIS and geostatistics techniques in semiarid region of Neyshabur, Iran. Appl Water Sci 8(6):1–16

    Article  CAS  Google Scholar 

  • Bierman P, Lewis M, Ostendorf B, Tanner J (2011) A review of methods for analysing spatial and temporal patterns in coastal water quality. Ecol Indic 11(1):103–114

    Article  CAS  Google Scholar 

  • Bu H, Tan X, LiS ZQ (2010) Temporal and spatial variations of water quality in the Jinshui River of the South Qinling Mts, China. Ecotoxicol Environ Saf 73(5):907–913

    Article  CAS  Google Scholar 

  • Chadha DK (1999) A proposed new diagram for geochemical classification of natural waters and interpretation of chemical data. Hydrogeol J 7(5):431–439

    Article  Google Scholar 

  • Cloutier Vincent, Lefebvre René, Therrien René, Savard Martine M. (2008) Multivariate statistical analysis of geochemical data as indicative of the hydrogeochemical evolution of groundwater in a sedimentary rock aquifer system. J Hydrol 353(3–4):294–313

    Article  CAS  Google Scholar 

  • Das S, Sarkar R (2021) Monitoring and evaluating the spatiotemporal variations of the water quality of a stretch of the Bhagirathi-Hugli River, West Bengal, India, using geospatial technology and integrated statistical methods. Environ Sci Pollut Res 28(13):15853–15869

    Article  CAS  Google Scholar 

  • Devic G, Djordjevic D, Sakan S (2014) Natural and anthropogenic factors affecting the groundwater quality in Serbia. Sci Total Environ 468–469:933–942

    Article  Google Scholar 

  • Doneen LD (1964) Water quality for agriculture. In: Department of Irrigation. University of Calfornia, Davis, p 48

    Google Scholar 

  • El-Hames AS, Hannachi A, Al-Ahmadi M, Al-Amri N (2013) Groundwater quality zonation assessment using GIS, EOFs and hierarchical clustering. Water Resour Manag 27(7):2465–2481

    Article  Google Scholar 

  • Gatica EA, Almeida CA, Mallea MA, Corigliano MCD, Gonzalez P (2012) Water quality assessment, by statistical analysis, on rural and urban areas of Chocancharava River (Río Cuarto), Córdoba, Argentina. Environ Monit Assess 184(12):7257–7274

    Article  Google Scholar 

  • Gautam SK, Maharana C, Sharma D, Singh AK, Tripathi JK, Singh SK (2015) Evaluation of groundwater quality in the Chotanagpur plateau region of the Subarnarekha River basin, Jharkhand State, India. Sustain Water Qual Ecol 6:57–74

    Article  Google Scholar 

  • Gibbs RJ (1970) Mechanism controlling world water chemistry. Science 170:1088–1090

    Article  CAS  Google Scholar 

  • Güler C, Thyne G, McCray JE, Turner AK (2002) Evaluation and graphical and multivariate statistical methods for classification of water chemistry data. Hydrogeol J 10:455–474

    Article  Google Scholar 

  • Jang CS, Chen SK, Kuo YM (2012) Establishing an irrigation management plan of sustainable groundwater based on spatial variability of water quality and quantity. J Hydrol 414–415:201–210

    Article  Google Scholar 

  • Kelly WP (1940) Permissible composition and concentration of irrigated waters. In: Proceedings of the A.S.C.F 1-607

  • Kim J, Kim R, Lee J, Cheong T, Yum B, Chang H (2005) Multivariate statistical analysis to identify the major factors governing groundwater quality in the coastal area of Kimje, South Korea. Hydrol Process 19:1261–1276

    Article  CAS  Google Scholar 

  • Kumar A, Matta G, Bhatnagar S (2021) 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(31):42837–42852

    Article  CAS  Google Scholar 

  • Liu CW, Lin KH, Kuo YM (2003) Application of factor analysis in the assessment of groundwater quality in a black foot disease area in Taiwan. Sci Total Environ 313:77–89

    Article  CAS  Google Scholar 

  • Lloyd JW, Heathcote JA (1985) Natural Inorganic Hydrochemistry in Relation to Groundwater: An Introduction. Clarendon Press, Oxford, p 294

    Google Scholar 

  • Lobato TC, Hauser-Davis RA, Oliveira TF, Silveira AM, Silva HAN, Tavares MRM, Saraiva ACF (2015) Construction of a novel water quality index and quality indicator for reservoir water quality evaluation: a case study in the Amazon region. J Hydrol 522:674–683

    Article  CAS  Google Scholar 

  • Love D, Hallbauer D, Amos A, Hranova R (2004) Factor analysis as a tool in groundwater quality management: two southern African case studies. Phys Chem Earth 29(15–18 SPEC.ISS):1135–1143

    Article  Google Scholar 

  • Magesh NS, Krishnakumar S, Chandrasekar N, Soundranayagam JP (2013) Groundwater quality assessment using WQI and GIS techniques, Dindigul district, Tamil Nadu, India. Arab J Geosci 6:4179–4189

    Article  CAS  Google Scholar 

  • Mandal U, Sahoo S, Munusamy SB, Dhar A, Panda SN, Kar A, Mishra PK (2016) Delineation of groundwater potential zones of coastal groundwater basin using multi-criteria decision making technique. Water Resour Manag 30(12):4293–4310

    Article  Google Scholar 

  • Mandal U, Dhar A, Panda SN (2021a) Enhancement of sustainable agricultural production system by integrated natural resources management framework under climatic and operational uncertainty. Agric Water Manag 252(9):106903

    Article  Google Scholar 

  • Mandal U, Sena DR, Dhar A, Panda SN, Adhikary PP, Mishra PK (2021b) Assessment of climate change and its impact on hydrological regimes and biomass yield of a tropical river basin. Ecol Indic 126(4):107646

    Article  Google Scholar 

  • 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(19):1027

    Article  CAS  Google Scholar 

  • McNeil VH, Cox ME, Preda M (2005) Assessment of chemical water types and their spatial variation using multi-stage cluster analysis, Queensland, Australia. J Hydrol 310(1–4):181–200

    Article  Google Scholar 

  • Menció A, Mas-Pla J (2008) Assessment by multivariate analysis of groundwater-surface water interactions in urbanized Mediterranean streams. J Hydrol 352(3-4):355–366

    Article  Google Scholar 

  • Nagaraju A, Kumar SK, Thejaswi A (2014) Assessment of groundwater quality for irrigation: a case study from Bandalamottu lead mining area, Guntur District, Andhra Pradesh, South India. Appl Water Sci 4(4):385–396

    Article  CAS  Google Scholar 

  • Narany Sheikhy Tahoora, Ramli Mohammad Firuz, Aris Ahmad Zaharin, Sulaiman Wan Nor Azmin, Fakharian Kazem (2014) Spatiotemporal variation of groundwater quality using integrated multivariate statistical and geostatistical approaches in Amol–Babol Plain, Iran. Environ Monit Assess 186(9):5797–5815. https://doi.org/10.1007/s10661-014-3820-8

    Article  CAS  Google Scholar 

  • Nayak KM, Sahoo HK (2014) Hydrogeochemical evaluation of Mahanga Block, Cuttack District, Odisha, India. J Geosci Geomatics 2(5):16–21

    Google Scholar 

  • Paliwal KV (1972) Irrigation with saline water. Monogram no. 2, new series (p. 198) IARI New Delhi

  • Pan C, Ng KTW, Richter A (2019) An integrated multivariate statistical approach for the evaluation of spatial variations in groundwater quality near an unlined landfill. Environ Sci Pollut Res 26(6):5724–5737

    Article  CAS  Google Scholar 

  • Panda UC, Sundaray SK, Rath P, Nayak BB, Bhatta D (2006) Application of factor and cluster analysis for characterization of river and estuarine water systems - a case study: Mahanadi River (India). J Hydrol 331(3–4):434–445

    Article  CAS  Google Scholar 

  • Patel P, Raju NJ, Reddy BCSR, Suresh U, Gossel W, Wycisk P (2016) Geochemical processes and multivariate statistical analysis for the assessment of groundwater quality in the Swarnamukhi River basin, Andhra Pradesh, India. Environ Earth Sci 75(7):611

    Article  Google Scholar 

  • Piper AM (1944) A graphic procedure in the geochemical interpretation of water analyses. Trans Am Geophys Union 25:914–928

    Article  Google Scholar 

  • Qadir A, Malik RN, Husain SZ (2008) Spatio-temporal variations in water quality of Nullah Aik-tributary of the river Chenab,Pakistan. Environ Monit Assess 140(1–3):43–59

    Article  CAS  Google Scholar 

  • Richards LA (1954) Diagnosis and improvement of saline and alkali soils. Soil Sci 78(2)154

  • Rostami AA, Isazadeh M, Shahabi M, Nozari H (2019) Evaluation of geostatistical techniques and their hybrid in modelling of groundwater quality index in the Marand Plain in Iran. Environ Sci Pollut Res 26(34):34993–35009

    Article  CAS  Google Scholar 

  • Salahat M, Al-Qinna M, Mashal K, Hammouri N (2014) Identifying major factors controlling groundwater quality in semiarid area using advanced statistical techniques. Water Resour Manag 28(11):3829–3841

    Article  Google Scholar 

  • Salman AS, Zaidi FK, Hussein MT (2014) Evaluation of groundwater quality in northern Saudi Arabia using multivariate analysis and stochastic statistics. Environ Earth Sci 74(12):7769–7782

    Article  Google Scholar 

  • Sheikhi S, Faraji Z, Aslani H (2020) Arsenic health risk assessment and the evaluation of groundwater quality using GWQI and multivariate statistical analysis in rural areas. Environmental Science and Pollution Research, Hashtroud. https://doi.org/10.1007/s11356-020-10710-6

    Book  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 

  • Subba Rao N (2006) Seasonal variation of groundwater quality in a part of Guntur District, Andhra Pradesh, India. Environ Geol 49(3):413–429

    Article  Google Scholar 

  • Tziritis E, Panagopoulos A, Arampatzis G (2014) Development of an operational index of water quality (PoS) as a versatile tool to assist water resources management and strategic planning. J Hydrol 517:339–350

    Article  CAS  Google Scholar 

  • US Salinity Laboratory Staff (1954) Diagnosis and improvement of saline and alkali soils. US Department of Agricultural Hand Book, Washington, p 60

    Google Scholar 

  • Vaiphei SP, Kurakalva RM, Sahadevan DK (2020) Water quality index and GIS-based technique for assessment of groundwater quality in Wanaparthy watershed. Environmental Science and Pollution Research, Telangana. https://doi.org/10.1007/s11356-020-10345-7

    Book  Google Scholar 

  • Wilcox LV (1948) The quality of water for irrigation, United States Department of Agriculture. Tech Bull 962:1–40

    Google Scholar 

  • Winograd IJ, Farlekas GM (1974) Problem in 14 C dating of waters from aquifers of deltaic origin. In: Isotope Hydrology. IAEA, Vienna, pp 69–93

    Google Scholar 

  • Xu Y, Xie R, Wang Y, Sha J (2015) Spatio-temporal variations of water quality in Yuqiao Reservoir Basin, North China. Front Environ Sci Eng 9(4):649–664

    Article  CAS  Google Scholar 

  • Yidana SM, Banoeng-Yakubo B, Akabzaa TM (2010) Analysis of groundwater quality using multivariate and spatial analyses in the Keta basin, Ghana. J Afr Earth Sci 58(2):220–234

    Article  CAS  Google Scholar 

  • Zghibi A, Merzougui A, Zouhri L, Tarhouni J (2014) Understanding groundwater chemistry using multivariate statistics techniques to the study of contamination in the Korba unconfined aquifer system of Cap-Bon (North-east of Tunisia). J Afr Earth Sci 89:1–15

    Article  CAS  Google Scholar 

  • Zhang B, Song X, Zhang Y, Han D, Tang C, Yu Y, Ma Y (2012) Hydrochemical characteristics and water quality assessment of surface water and groundwater in Songnen plain, Northeast China. Water Res 46(8):2737–2748

    Article  CAS  Google Scholar 

Download references

Acknowledgements

The authors are thankful to Groundwater Survey and Investigation Department (Odisha); Dept. of Water Resources (Odisha); Lift Irrigation Corporation Ltd., Balasore (Odisha); and Central Ground Water Board, Bhubaneswar (Odisha), for providing necessary data and support.

Author information

Authors and Affiliations

Authors

Contributions

Conceptualization: [Uday Mandal, A. Dhar], methodology: [Uday Mandal, A. Dhar, D. R. Sena]; formal analysis and investigation: [Uday Mandal, A. Dhar, D. R. Sena]; writing—original draft preparation: [Uday Mandal]; writing—review and editing: [Uday Mandal, A. Dhar, S. N. Panda]; resources: [S. N. Panda], and supervision: [A. Dhar, S. N. Panda].

Corresponding author

Correspondence to Uday Mandal.

Ethics declarations

Ethics approval

Not applicable.

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.

The original online version of this article was revised: The label Year-2001 is missing in the image of Figure 8. Figure 10 was not captured correctly in the published proof.

Supplementary information

Attached in a separate file as “Supplementary Material_ESPR_R1”

ESM 1

(DOC 4506 kb)

Rights and permissions

Springer Nature or its licensor 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.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mandal, U., Dhar, A., Panda, S.N. et al. Spatiotemporal evaluation and assessment of shallow groundwater quality for irrigation of a tropical coastal groundwater basin. Environ Sci Pollut Res 30, 116715–116740 (2023). https://doi.org/10.1007/s11356-022-22266-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11356-022-22266-8

Keywords

Navigation