Abstract
Analysis of pollutant emission, water quality, and flow rate trends and the influence of water quality of the primary stream of the Seomjin River system using measurement data provides important information for formulating water quality management policies. In this study, we identified specific characteristics based on changes in water quality using graphs of long-term (2011–2020) water quality data from the Seomjin River system. We conducted correlation and factor analyses of the following water quality survey parameters: temperature, pH, dissolved oxygen (DO), electrical conductivity (EC), biochemical oxygen demand (BOD), chemical oxygen demand (COD), suspended solids (SS), total phosphorus (TP), total nitrogen (TN), and total organic carbon (TOC), and flow rate. Furthermore, we analyzed BOD and TP, which are designated as total maximum daily load management parameters, to examine the intrinsic properties of the group. In addition, seasonal Kendall tests and LOWESS analysis were conducted using long-term monitoring data to analyze the long-term trends of changes in water quality. According to the analysis results, at the target points, BOD was highly correlated with COD and TOC, and TP with SS, COD, and BOD, whereas pH and DO show low correlations. The fluctuation characteristics of BOD showed an overall “decreasing” trend. On the other hand, TP concentration showed an “increasing” trend. The characteristics of the water quality environment were identified using long-term water quality data. The results may contribute to developing a basic framework for proposing logical grounds and objective measures for long-term water quality management policies.
Similar content being viewed by others
References
Adnan, M. S., Roslen, H., & Samsuri, S. (2022). The application of total maximum daily load (TMDL) approach in water quality assessment for the Batu Pahat River. IOP Conference Series: Earth and Environmental Science, 1022, 012074. https://doi.org/10.1088/1755-1315/1022/1/012074
Baek, J. H., Shim, H. B., Jung, K. Y., Lee, Y. J., Na, E. H., & Ha, D. W. (2021). A study on the change of water quality and characteristics of Yeongsan Rivertributary Stream according to the farming season. Journal of the Korean Society for Environmental Technology, 22(2), 142–150.
Cleveland, W. S. (1979). Robust locally weighted regression and smoothing scatterplot. Journal of the American Statistical Association, 74(3), 829–836.
Ha, D. W., Park, S. H., Joo, S. M., Lee, G. S., Baek, J. H., Jung, K. Y., Lee, Y. J., Kim, K. H., & Kim, Y. S. (2018). Analysis of monitoring characteristics of small stream for TMDL. Journal of the Korean Society for Environmental Technology, 19(6), 503–513.
Helsel, D. R. ,& Hirsch, R. M. (2002). Statistical methods in water resources techniques of water-resources investigations, Book 4, Chapter A3, U.S. Geological Survey, pp. 226–230.
Hirsch, R. M., Slack, J. R., & Smith, R. A. (1982). Techniques for trend assessment for monthly water quality data. Water Resources Research, 18, 107–121.
Jung, K. Y., Ahn, J. M., Lee, K. L., Kim, S., Yu, J. J., Cheon, S. U., & Lee, I. J. (2015). Development and evaluation of regression model for TOC concentration estimation in gam stream watershed. Korea Journal of Environment Science International, 24(6), 743–753.
Jung, K. Y., Kim, M. J., Song, K. D., Seo, K. W., Hong, S. J., Cho, S. Y., Lee, Y. J., & Kim, K. H. (2018). A nonparametric long-term trend analysis using water quality monitoring data in Nam-River. Journal of Environmental Science International, 27(11), 1029–1048.
Kendall, M. G. (1975). Rank correlation methods. Charles Griffin.
Kim, J. H., & Park, S. S. (2004). Long-term trend analyses of water qualities in Nakdong River based on non-parametric statistical methods. Journal of Korean Society on Water Environment, 20(1), 63–71.
Kim, G. H., Jung, K. Y., Yoon, J. S., & Cheon, S. U. (2014). Evaluation and comparison of four streamflow record extension techniques for Namgang dam basin. Journal of Korean Society on Water Environment, 30(1), 60–67.
Kim, M. A., Lee, S. Y., Mun, H. S., Cho, H. S., Lee, J. K., & Kim, K. H. (2017). A nonparametric trend test using TMDL data in the Nakdong River. Journal of Korean Society on Water Environment, 33(1), 40–50.
Lee, H. W., & Park, S. S. (2009). Trend analysis of water quality in Dongjin River watershed. Korean Journal of Limnology, 42(1), 39–47.
Mann, H. B. (1945). Nonparametric tests against trend. Econometrica, 13, 245–259.
Ministry of Environment (MOE). (2016). Water quality monitoring program, 11–1480000–001223–10, Ministry of Environment, pp. 3–4.
Ministry of Environment (MOE). (2020). Water Environment Conservation Act. Retrieved July 5, 2022, from https://www.law.go.kr/
Ministry of Environment (MOE). (2022). Four rivers (HAN River, NAKDONG River, GEUM River, and YEONGSAN AND SEOMJIN River) Water Management and Resident Support Act Water Management Act. Retrieved July 5, 2022, from https://www.law.go.kr/
Montogomery, R. H., & Reckhow, K. H. (1984). Techniques for detecting trends in lake water quality. Water Resources Bulletin, 20(1), 45–52.
Oh, C. Y., Park, S. C., Park, Y. H., Park, I. C., & Roh, K. B. (2011). Application of Mann-Kendall test for water quality assessment on the Jangseong Lake. Journal of Environmental Research Institute, 11(13), 111–122.
Sokal, R. R., & Rohlf, F. J. (1995). Biometry: The principles and practice of statistics in biological research. W.H., Freeman & Co.
Song, E. S., Jeon, S. M., Lee, E. J., Park, D. J., & Shin, Y. S. (2012). Long-term trend analysis of chlorophyll a and water quality in the Yeongsan River. Korean Journal of Limnology, 45(3), 302–313.
Sun, D. B., Kim, J. H., Kim, S. M., & Jang, M. W. (2020). Analyzing the spatio-temporal trend in TMDL water quality for Gyeongnam using emerging hot spot analysis. Journal of the Korean Society of Rural Planning, 26(4), 053–065.
Tanner, K. B., Cardall, A. C., & Williams, G. P. (2022). Analysis of long-term chlorophyll trends in Utah Lake using Landsat Data and Lake Regions. In Intermountain Engineering, Technology and Computing (IETC), pp. 1-5. https://doi.org/10.1109/IETC54973.2022.9796773
Funding
This study was supported by the “Small Watershed Monitoring Project” of the Yeongsan River and Seomjin River Basin Management Committees funded by the Ministry of Environment of the Republic of Korea, grant number 1345-402-260-01. This study was also supported by a grant from the National Institute of Environmental Research, grant number NIER-2022-01-01-044. We thank the Ministry of Environment, and Yeongsan River and Seomjin River Basin Management Committees.
Author information
Authors and Affiliations
Contributions
Don-Woo Ha: data curation, formal analysis, methodology, visualization, writing—original draft; Jonghun Baek: investigation, resources, validation; Kang-Young Jung: methodology, validation; Hongbin Shim: investigation, resources; Byungwoong Choi: supervision; Youngjea Lee, supervision; Dong Seok Shin: conceptualization, formal analysis, funding acquisition, project administration, writing—review and editing. All authors have approved the sub-‘mitted version and have agreed to be personally accountable for the author’s own contributions and to ensure that questions related to the accuracy or integrity of any part of the work, even ones in which the author was not personally involved, are appropriately investigated, resolved, and documented in the manuscript.
Corresponding author
Ethics declarations
Ethics Approval and Consent to Participate
Not applicable.
Research Involving Human Participants and/or Animals
Not applicable.
Consent for Publication
Not applicable.
Competing Interests
The authors declare no competing interests.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) 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.
About this article
Cite this article
Ha, DW., Baek, J., Jung, KY. et al. Long-Term Water Quality Fluctuations in the Seomjin River System Determined Using LOWESS and Seasonal Kendall Analyses. Water Air Soil Pollut 233, 535 (2022). https://doi.org/10.1007/s11270-022-05928-8
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s11270-022-05928-8