Skip to main content
Log in

Combined analyses of chemometrics and kriging for identifying groundwater contamination sources and origins at the Masan coastal area in Korea

  • Original Article
  • Published:
Environmental Earth Sciences Aims and scope Submit manuscript

Abstract

Hydrogeochemical analyses including the basic statistics of chemical components, Piper’s trilinear diagram, and Mazor’s compositional bivariate diagram revealed that the main source and origin of groundwater contamination was seawater intrusion in the study area. However, the other sources and origins of groundwater contamination could be found by the combined analyses of chemometrics and kriging. Cluster analysis was helpful for the classification on the basis of the contamination characteristics of groundwater quality; however, it was not sufficient for the apportionment of groundwater contamination sources. Factor analysis (FA) determined three factors with 81.07% in total variance: Factor 1 for seawater contamination, Factor 2 for nitrate contamination, and Factor 3 for iron contamination. Factor analysis determined the sources of groundwater contamination; however, it could not discover the origins of contaminants except Factor 1. In backward stepwise mode, discriminant analysis decreased the number of parameters from 18 to 6 in discriminating the contaminant type with 96.2% correctness. TDS, Ca, NO3, Mn, Fe, and Br were the most significant parameters for the discrimination of contaminants. Kriging analysis was very useful for the understanding of correlation and similarity between contaminants and factors of FA, and for the investigation of contaminant origins. It also showed that the similarity between factor scores and contaminant concentrations was proportional to the magnitudes of factor loadings for contaminants. This study represented that the combined analyses of chemometrics and kriging were very indispensable to the identification of groundwater contamination sources and origins, as well as for the spatial classification and assessment of groundwater quality.

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

Similar content being viewed by others

References

  • Bennetts DA, Webb JA, Stone DJM, Hill DM (2006) Understanding the salinization process for groundwater in an area of south-eastern Australia, using hydrochemical and isotopic evidence. J Hydrol 232:178–192

    Article  Google Scholar 

  • Choi BY, Kim HJ, Kim K, Kim SH, Jeong HJ, Park E, Yun ST (2008) Evaluation of the processes affecting vertical water chemistry in an alluvial aquifer of Mankyeong Watershed, Korea, using multivariate statistical analyses. Environ Geol 54:335–345. doi:10.1007/s00254-007-0820-9

    Article  Google Scholar 

  • Davis JC (2002) Statistics and data analysis in geology, 3rd edn. Wiley, New York

    Google Scholar 

  • Dragon K (2006) Application of factor analysis to study contamination of a semi-confined aquifer (Wielkopolska Buried Valley aquifer, Poland). J Hydrol 331:272–279

    Article  Google Scholar 

  • Farber E, Vengosh A, Gavrieli I, Marie A, Bullen TD, Mayer B, Holtzman R, Segal M, Shavit U (2003) The origin and mechanisms of salinization of the Lower Jordan River. Geochim Cosmochim Acta 68(9):1989–2004

    Article  Google Scholar 

  • Gaus I, Kinniburgh DG, Talbot JC, Webster R (2003) Geostatistical analysis of arsenic concentration in groundwater in Bangladesh using disjunctive kriging. Environ Geol 44:939–948. doi:10.1007/s00254-003-0837-7

    Article  Google Scholar 

  • Hounslow AW (1995) Water quality data: analysis and Interpretation. CRC Lewis, Boca Raton

    Google Scholar 

  • Hu K, Huang Y, Li H, Li B, Chen D, White RE (2005) Spatial variability of shallow groundwater level, electrical conductivity and nitrate concentration, and risk assessment of nitrate contamination in North China Plain. Environ Int 31(6):896–903

    Article  Google Scholar 

  • Jeen SW, Kim JM, Ko KS, Yum BW, Chang HW (2001) Hydrogeochemical characteristics of groundwater in a mid-western coastal aquifer system, Korea. Geosci J 5(4):339–348

    Article  Google Scholar 

  • Journel AG, Huijbregts CJ (1978) Mining geostatistics. Academic Press, London

    Google Scholar 

  • Kannel PR, Lee SH, Kanel SR, Khan SP (2007) Chemometric application in classification and assessment of monitoring locations of an urban river system. Anal Chim Acta 582:390–399

    Article  Google Scholar 

  • Kannel PR, Kanel SR, Lee S, Lee YS (2010) Chemometrics in assessment of seasonal variation of water quality in fresh water systems. Environ Monit Assess. doi:10.1007/s10661-010-1476-6

    Google Scholar 

  • KORES (2005) The Report of the basic groundwater investigations at the Masan and Jinhae City, Korea. KORES, Korea

    Google Scholar 

  • Kumar M, Kumari K, Singh UK, Ramanathan AL (2009) Hydrogeochemical processes in the groundwater environment of Muktsar, Punjab: conventional graphical and multivariate statistical approach. Environ Geol 57:873–884. doi:10.1007/s00254-008-1367-0

    Article  Google Scholar 

  • Levins I, Gosk E (2008) Trace elements in groundwater as indicators of anthropogenic impact. Environ Geol 55:285–290. doi:10.1007/s00254-007-1003-4

    Article  Google Scholar 

  • Liu CW, Jang CS, Liao CM (2004) Evaluation of arsenic contamination potential using indicator kriging in the Yun-Lin aquifer (Taiwan). Sci Total Environ 321:173–188

    Article  Google Scholar 

  • Lu HY, Peng TR, Liou TS (2008) Identification of the origin of salinization in groundwater using multivariate statistical analysis and geochemical modeling: a case study of Kaohsiung, Southwest Taiwan. Environ Geol 55:339–352. doi:10.1007/s00254-007-0979-0

    Article  Google Scholar 

  • Mazor E (1997) Chemical and Isotopic Groundwater Hydrology, 2nd edn. Marcel Dekker Inc., New York

    Google Scholar 

  • Papatheodorou P, Demopoulou G, Lambrakis N (2006) A long-term study of temporal hydrochemical data in a shallow lake using multivariate statistical techniques. Ecol Model 193:759–776

    Article  Google Scholar 

  • Psychoyou M, Mimides T, Rizos S, Sgoubopoulou A (2007) Groundwater hydrochemistry at Balkan coastal plains-the case of Marathon of Attica, Greece. Desalination 213:230–237

    Article  Google Scholar 

  • Queiroz JCB, Sturaro JR, Saraiva ACF, Landim PMB (2008) Geochemical characterization of heavy metal contaminated area using multivariate factorial kriging. Environ Geol 55:95–105. doi:10.1007/s00254-007-0968-3

    Article  Google Scholar 

  • Shim BO, Chung SY, Kim HJ, Sung IH (2004) Intrinsic random function of order k kriging of electrical resistivity data for estimating the extent of saltwater intrusion in a coastal aquifer system. Environ Geol 46:533–541. doi:10.1007/s00254-004-1059-3

    Article  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  Google Scholar 

  • Singh KP, Malik A, Singh VK, Mohan D, Sinha S (2005) Chemometric analysis of groundwater quality data of alluvial aquifer of Gangetic plain, North India. Anal Chim Acta 550:82–91

    Article  Google Scholar 

  • SPSS Inc (2009) SPSS for Windows. SPSS Inc., Illinois

    Google Scholar 

  • Srivastava SK, Ramanathan AL (2008) Geochemical assessment of groundwater quality in vicinity of Bhalswa landfill, Delhi, India, using graphical and multivariate statistical methods. Environ Geol 53:1509–1528. doi:10.1007/s00254-007-0762-2

    Article  Google Scholar 

  • StatSoft (2008) STATISTICA version 9. StatSoft, Oklahoma, USA

  • Theodossiou N, Latinopoulos P (2006) Evaluation and optimization of groundwater observation networks using the kriging methodology. Environ Model Software 21(7):991–1000

    Article  Google Scholar 

  • Todd DK, Mays LW (2005) Groundwater hydrology, 3rd edn. Wiley, New York

    Google Scholar 

  • Wang Y, Ma T, Luo Z (2001) Geostatistical and geochemical analysis of surface water leakage into groundwater on a regional scale: a case study in the Liulin karst system, northwestern China. J Hydrol 246:223–234

    Article  Google Scholar 

  • Wang SW, Liu CW, Jang CS (2007) Factors responsible for high arsenic concentrations in two groundwater catchments in Taiwan. Appl Geochem 22:460–476

    Article  Google Scholar 

  • Wang K, Shen Y, Zhang S, Ye Y, Shen Q, Hu J, Wang X (2009) Application of spatial analysis and multivariate analysis techniques in distribution and source study of polycyclic aromatic hydrocarbons in the topsoil of Beijing, China. Environ Geol 56:1041–1050. doi:10.1007/s00254-008-1204-5

    Article  Google Scholar 

  • Willet P (1987) Similarity and clustering in chemical information systems. Wiley, New York

    Google Scholar 

  • Wilson DI (2002) Derivation of the chalk superficial deposits of the North Downs, England: an application of discriminant analysis. Geomorphol 42:343–364

    Article  Google Scholar 

  • Yammani SR, Reddy TVK, Reddy MRK (2008) Identification of influencing factors for groundwater quality variation using multivariate analysis. Environ Geol 55:9–16. doi:10.1007/s00254-007-0958-5

    Article  Google Scholar 

  • Yeh MS, Lin YP, Chang LC (2006) Designing an optimal multivariate geostatistical groundwater quality monitoring network using factorial kriging and genetic algorithms. Environ Geol 50:101–121. doi:10.1007/s00254-006-0190-8

    Article  Google Scholar 

  • Zhou J, Ma D, Pan J, Nie W, Wu K (2008) Application of multivariate statistical approach to identify heavy metal sources in sediment and water: a case study in Yangzhong, China. Environ Geol 54:373–380. doi:10.1007/s00254-007-0824-5

    Article  Google Scholar 

Download references

Acknowledgment

This research was supported by a grant (code# 3-3-4) from Sustainable Water Resources Research Center of 21st Century Frontier Research Program (Korea).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sang Yong Chung.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kim, T.H., Chung, S.Y., Park, N. et al. Combined analyses of chemometrics and kriging for identifying groundwater contamination sources and origins at the Masan coastal area in Korea. Environ Earth Sci 67, 1373–1388 (2012). https://doi.org/10.1007/s12665-012-1582-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12665-012-1582-6

Keywords

Navigation