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.
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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
23 August 2022
A Correction to this paper has been published: https://doi.org/10.1007/s11356-022-22625-5
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
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
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
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
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
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
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
Chadha DK (1999) A proposed new diagram for geochemical classification of natural waters and interpretation of chemical data. Hydrogeol J 7(5):431–439
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
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
Devic G, Djordjevic D, Sakan S (2014) Natural and anthropogenic factors affecting the groundwater quality in Serbia. Sci Total Environ 468–469:933–942
Doneen LD (1964) Water quality for agriculture. In: Department of Irrigation. University of Calfornia, Davis, p 48
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
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
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
Gibbs RJ (1970) Mechanism controlling world water chemistry. Science 170:1088–1090
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
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
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
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
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
Lloyd JW, Heathcote JA (1985) Natural Inorganic Hydrochemistry in Relation to Groundwater: An Introduction. Clarendon Press, Oxford, p 294
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
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
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
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
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
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
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
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
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
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
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
Nayak KM, Sahoo HK (2014) Hydrogeochemical evaluation of Mahanga Block, Cuttack District, Odisha, India. J Geosci Geomatics 2(5):16–21
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
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
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
Piper AM (1944) A graphic procedure in the geochemical interpretation of water analyses. Trans Am Geophys Union 25:914–928
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
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
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
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
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
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
Subba Rao N (2006) Seasonal variation of groundwater quality in a part of Guntur District, Andhra Pradesh, India. Environ Geol 49(3):413–429
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
US Salinity Laboratory Staff (1954) Diagnosis and improvement of saline and alkali soils. US Department of Agricultural Hand Book, Washington, p 60
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
Wilcox LV (1948) The quality of water for irrigation, United States Department of Agriculture. Tech Bull 962:1–40
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
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
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
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
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
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.
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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].
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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
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DOI: https://doi.org/10.1007/s11356-022-22266-8