Journal of Soil and Groundwater Environment ISSN:1598-6438(Print) 2287-8831(Online) 지하수토양환경

Abdi, H., 2003, Factor Rotations in Factor Analyses, Encyclopedia for Research Methods for the Social Sciences, Sage: Thousand Oaks, CA, 792-795.

Andong National University, Geogreen21 Co. Ltd., 2020, Tracing pollution sources and planning remediation strategies of groundwater contamination in Jeonju. Korea Environmental Industry & Technology Institute.

Atekwana, E.A., Atekwana, E., Legall, F.D., and Krishnamurthy, R.V., 2005, Biodegradation and mineral weathering controls on bulk electrical conductivity in a shallow hydrocarbon contaminated aquifer, Journal of Contaminant Hydrology 80(3-4), 149-167.

Baek, W. and Lee, J.Y., 2011, Source apportionment of trichloroethylene in groundwater of the industrial complex inWonju, Korea: a 15-year dispute and perspective, Water and Environment Journal, 25(3), 336-344.

Burg, A. and Gavrieli, I., 2013, Groundwater contamination and water-rock interaction during leakage of industrial waste water into a carbonate aquifer in an arid zone, Israel, Procedia Earth and Planetary Science, 7, 101-104.

Farnham, I.M., Singh, A.K., Stetzenbach, K.J., and Johannesson, K.H., 2002, Treatment of nondetects in multivariate analysis of groundwater geochemistry data, Chemometrics and Intelligent Laboratory Systems, 60(1-2), 265-281.

Gulgundi, M.S. and Shetty, A., 2019, Source apportionment of groundwater pollution using unmix and positive matrix factorization, Environmental Processes, 6, 457-473.

Hamzaoui-Azaza, F., Zammouri, M., Ameur, M., Sy, M.B., Gueddari, M., and Bouhlila, R., 2020, Hydrogeochemical modeling for groundwater management in arid and semiarid regions using MODFLOW and MT3DMS: A case study of the Jeffara of Medenine coastal aquifer, South-Eastern Tunisia, Natural Resource Modeling, 33(4), e12282.

Hatcher, L., 1994, A Step-by-Step Approach to Using the SAS System for Factor Analysis and Structural Equation Modeling. SAS Institute, Inc., Cary.

Jeong, C.-H., Lee, Y.J., Lee, Y.C., Kim, M.S., Kim, H.K., Kim, T.S., Jo, B.U., and Choi, H.Y., 2016, Hydrochemistry and occurrences of natural radioactive materials from groundwater in various geological environment, The Journal of Engineering Geology, 26(4), 531-549.

KIGAM (Korea Institute of Geoscience and Mineral Resources), 1969, Geological map of Korea: Samrye (1:50,000).

KIGAM, 1981, Geological map of Korea: Ttukseom (1:50,000).

KIGAM, 2019, Technology development of borehole elemental concentration logs and high resolution hydraulic characterization for the prediction of rock-fluid interactions in subsurface environments, Korea Environmental Industry & Technology Institute.

Kim, H.-R., Yu, S., Oh, J., Kim, K.-H., Lee, J.-H., Moniruzzaman, M., Kim, H.K., and Yun, S.-T., 2019, Nitrate contamination and subsequent hydrogeochemical processes of shallow groundwater in agro-livestock farming districts in South Korea, Agriculture, Ecosystems and Environment, 273, 50-61.

Kim, H.-S., Lee, S.-H., Jo, H.Y., Finneran, K.T., and Kwon, M.J. 2021, Diversity and composition of soil Acidobacteria and Proteobacteria communities as a bioindicator of past land-use change from forest to farmland, Science of the Total Environment, 797, 148944.

Kim, K.H., Yun, S.T., Kim, H.K., and Kim, J.W., 2015, Determination of natural backgrounds and thresholds of nitrate in South Korean groundwater using model-based statistical approaches, J. Geochem. Explor., 148, 196-205.

Kim, S.H., Kim, H.-R., Yu, S., Kang, H.-J., Hyun, I.-H., Song, Y.-C., Kim, H., and Yun, S.-T., 2021, Shift of nitrate sources in groundwater due to intensive livestock farming on Jeju Island, South Korea: With emphasis on legacy effects on water management, Water Research, 191, 116814.

Krause, S., Aloisi, G., Engel, A., Liebetrau, V., and Treude, T., 2014, Enhanced calcite dissolution in the presence of the aerobic methanotroph methylosinus trichosporium, Geomicrobiology Journal, 31(4), 325-337.

Korea University, 2021, Development of field application technologies for optimal diagnosis, assessment, and predictioin of contamination fate and transport in subsurface environments, Korea Environmental Industry & Technology Institute.

Joyce, S., Applegate, D., Appleyard, P., Gordon, A., Heath, T., Hunter, F., Hoek, J., Jackson, P., Swan, D., Woollard, H., and Wheeler, A.F., 2015, Groundwater flow and reactive transport modelling in ConnectFlow, SKB R-14-19, https://skb.se/publikation/2482142/R-14-19.pdf

Ledesma, R.D., Valero-Mora, P., and Macbeth, G., 2015, The scree test and the number of factors: a dynamic graphics approach, Spanish Journal of Psychology, 18, e11, 1-10.

Lee, J.-H., Yun, S.-T., Yu, S., Yoo, C.-H., Jeong, Y.-S., Kim, K.-H., Kim, H.-R., and Kim, H., 2022, Development of an integrated hydrochemical index for delineating livestock manure-derived groundwater plumes in agro-livestock farming areas, Ecological Indicators, 138, 108838.

Lee, J.-Y., Cheon, J.-Y., Lee, K.-K., Lee, S.-Y., and Lee, M.-H., 2001, Statistical evaluation of geochemical parameter distribution in a ground water system contaminated with petroleum hydrocarbons, Journal of Environmental Quality, 30(5), 1548-1563.

Lee, K.-J., Yun, S.-T., Yu, S., Kim, K.-H., Lee, J.-H., and Lee, S.-H., 2019, The combined use of self-organizing map technique and fuzzy c-means clustering to evaluate urban groundwater quality in Seoul metropolitan city, South Korea, Journal of Hydrology, 569, 685-697.

MacCallum, R.C., Widaman, K.F., Zhang, S., and Hong, S., 1999, Sample size in factor analysis, Psychological Methods, 4(1), 84-99.

Mohapatra, P.K., Vijay, R., Pujari, P.R., Sundaray, S.K., and Mohanty, B.P., 2011, Determination of processes affecting groundwater quality in the coastal aquifer beneath Puri city, India: a multivariate statistical approach, Water Science & Technology, 64(4), 809-817.

Oh, J., Kim, H.-R., Yu, S., Kim, K.-H., and Yun, S.-T., 2021, Delineating the impacts of poultry burial leachate on shallow groundwater in a reclaimed agro-livestock farming area, using multivariate statistical analysis of hydrochemical data, Environmental Science and Pollution Research, 28, 7742-7755.

R Core Team, 2020, R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/

Runkel, A.C., Tipping, R.G., Meyer, J.R., Steenberg, J.R., Retzler, A.J., Parker, B.L., Green, J.A., Barry, J.D., and Jones, P.M., 2018, A multidisciplinary-based conceptual model of a fractured sedimentary bedrock aquitard: improved prediction of aquitard integrity, Hydrogeology Journal, 26, 2133-2159.

Schreier, C.G., Walker, W.J., Burns, J., andWilkenfeld, R., 1999, Total organic carbon as a screening method for petroleum hydrocarbons, Chemosphere, 39(3), 503-510.

Sejong University, 2019, Development of strategies and technologies for investigation and assessment of fluid flow path in subsurface environments. Korea Environmental Industry & Technology Institute.

Shaukat, S.S., Rao, T.A., and Khan, M.A., 2016, Impact of sample size on principal component analysis ordination of an environmental data set: effects on eigenstructure, Ekológia (Bratislava), 35(2), 173-190.

SKB, 2006. Hydrogeochemical evaluation, Preliminary site description Laxemar subarea – version 2.1. Swedish Nuclear Fuel and Waste Management Co. (SKB). Report R-06-70.

Thrun, M.C., Ultsch, A., and Breuer, L., 2021, Explainable AI framework for multivariate hydrochemical time series, Mach. Learn. Knowl. Extr., 3(1), 170-204.

Tizro, A.T., Ghashghaie, M., Georgiou, P., and Voudouris, K., 2014, Time series analysis of water quality parameters, Journal of Applied Research in Water and Wastewater, 1(1), 40-50.

Yang, J.-H. and Lee, K.-K., 2012, Locating plume sources of multiple chlorinated contaminants in groundwater by analyzing seasonal hydrological responses in an industrial complex, Wonju, Korea, Geosciences Journal, 16(3), 301-311.

Yu, S., Chae, G., Oh, J., Kim, S.H., Kim, D.I., and Yun, S.T., 2021, Hydrochemical and isotopic difference of spring water depending on flow type in a stratigraphically complex karst area of South Korea, Front. Earth Sci., 736, 712865.

Zhang, K., Hu, Z., Zeng, F., Yang, X., Wang, J., Jing, R., Zhang, H., Li, Y., and Zhang, Z., 2019, Biodegradation of petroleum hydrocarbons and changes in microbial community structure in sediment under nitrate-, ferric-, sulfate-reducing and methanogenic conditions, Journal of Environmental Management, 249, 109425.