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참고문헌
- Alharbawee, N.A., and Mohammed, A.J. (2024). "Water quality assessment of tigris river using multivariate statistical techniques." Iraqi Journal of Science, Vol. 65, pp. 1266-1275.
- Cho, Y.C., Lee, S.W., Ryu, I.G., and Yu, S.J. (2017). "Assessment of spatiotemporal water quality variation using multivariate statistical techniques: A case study of the Imjin River Basin, Korea." Journal of Korean Society of Environmental Engineers, Vol. 39, No. 11, pp. 641-649.
- Cleveland, R.B., Cleveland, W.S., McRae, J.E., and Terpenning, I. (1990). "STL: A seasonal-trend decomposition procedure based on loess." Journal of Official Statics, Vol. 6, No. 1, pp. 3-73.
- Giri, A., Bharti, V.K., Kalia, S., Kumar, K., Raj, T., and Chaurasia, O.P. (2019). "Utility of multivariate statistical analysis to identify factors contributing river water quality in two different seasons in cold-arid high-altitude region of Leh-Ladakh, India." Applied Water Science, Vol. 9, 26.
- Gwak, B.R., and Kim, I.K. (2016). "Characterization of water quality in Changnyeong-Haman weir section using statistical analyses." Journal of Korean Society of Environmental Engineers, Vol. 38, No. 2, pp. 71-78.
- Hair, J.F., Black, W.C., Babin, B.J., and Anderson, R.E. (2010). Multivariate data analysis. 7th Edition, Pearson Education International, NJ, U.S.
- Hyndman, R.J., and Athanasopoulos, G. (2018). Forecasting: Principles and practice, 2nd edition, OTexts, Melbourne, Australia.
- Kilic, E., and Yucel, N. (2018). "Determination of spatial and temporal changes in water quality at Asi River using multivariate statistical techniques." Turkish Journal of Fisheries and Aquatic Sciences, Vol. 19, No. 9, pp. 727-737.
- Kim, J.I., Choi, J.W., and An, K.G. (2014). "Spatial and temporal variations of water quality in an urban Miho Stream and some influences of the tributaries on the water quality." Journal of Environmental Science International, Vol. 23, No. 3, pp. 433-445.
- Lafare, A.E., Peach, D.W., and Hughes, A.G. (2016). "Use of seasonal trend decomposition to understand groundwater behaviour in the Permo-Triassic Sandstone aquifer, Eden Valley, UK." Hydrogeology Journal, Vol. 24, No. 1, pp. 141-158.
- Lee, D.H., Kang, E.T., Joo, J.C., Go, H.W., Ahn, C.M., Bae, Y.H., and Song, K.D. (2022). "Water quality analysis and Chl-a prediction of 15 large-scale freshwater lakes in Korea by multivariate statistical analysis." Journal of Korean Society of Environmental Engineers, Vol. 44, No. 12, pp. 589-602.
- Lee, G.H. (2021). "Seasonal adjustment of Korean time series using STL." Journal of the Korean Official Statistics, Vol. 26, No. 2, pp. 31-51.
- Legesse, N.S., Kim, J.Y., and Seo, D.I. (2022). "Evaluation of significant pollutant sources affecting water quality of the Geum River using principal component analysis." Journal of Korea Water Resources Association, Vol. 55, No. 8, pp. 577-588.
- Ministry of Environment (ME) (2021). Basic plan for installation and operation of water environment measurement network.
- Oh, S.M., Shin, H.S., Shin, Y.S., and Jeong, H.C. (2017). "Forecasting the particulate matter in Seoul using a univariate time series approach." Journal of The Korean Data Analysis Society, Vol. 19, No. 5, pp. 2457-2468.
- Park, J.B., Kal, B.S., and Kim, S.M. (2019). "Application of multivariate statistical techniques to analyze the pollution characteristics of major tributaries of the Nakdong River," Journal of Wetlands Research, Vol. 21, No. 3, pp. 215-223.
- Rim, C.S. (1999). "Multivariate analysis of water quality data at 14 sattions in the Geum-River watershed." Journal of The Korean Environmental Sciences society, Vol. 8, No. 3, pp. 331-336.
- Rojo, J., Rivero, R., Romero-Morte, J., Fernandez-Gonzalez, F., and Perez-Badia, R. (2017). "Modeling pollen time series using seasonal-trend decomposition procedure based on LOESS smoothing." International Journal of Biometeorology, Vol. 61, No. 2, pp. 335-348.
- Rotiroti, M., Zanotti, C., Fumagalli, L., Taviani, S., Stefania, G.A., Patelli, M.., and Leoni, B. (2019). "Multivariate statistical analysis supporting the hydrochemical characterization of groundwater and surface water: A case study in northern Italy." Rendiconti Online Della Societa Geologica Italiana, Vol. 47, pp. 90-96.
- Seo, M.J., Cho, C.D., Im, T.H., Kim, S.H., Yoon, H.J., Kim, Y.S., and Kim, G.H. (2019). "Statistical analysis of the spatiotemporal water quality characteristics of the Nakdong River." Journal of Environmental Science International, Vol. 28, No. 11, pp. 303-320.
- Seo, Y.M., Kwon, K.H., Choi, Y.Y., and Lee, B.J. (2021). "Assessment of water quality characteristics in the middle and upper watershed of the Geumho River using multivariate statistical analysis and watershed environmental model." Journal of Korean Society on Water Environment, Vol. 37, No. 6, pp. 520-530.
- Song, Y.H, Lee, Y.H., Lee, J.G., Park, Y.K., and Kim, K.E. (2021). Policy analysis and response measures for improving water quality in Mihocheon, Report 2021-47, Daejeon Sejong Reserch Institute.
- Vieira, J.S., Pires, J.C., Martins, F.G., Vilar, V.J., Boaventura, R.A., and Botelho, C.M. (2012). "Surface water quality assessment of Lis River using multivariate statistical methods." Water, Air & Soil Pollution, Vol. 223, pp. 5549-5561.
- Water Environment Information System (WEIS) (2024). accessed 13 July 2024, <https://water.nier.go.kr/web/>.
- Yoon, H.Y., Kim, J.H., Chae, M.H., Cho, Y.H., and Cheon, S.U. (2019). "Assessment of water quality in the Miho Stream using multivariate statistics." Journal of Environmental Impact Assessment, Vol. 28, No. 4, pp. 373-386.