DOI QR코드

DOI QR Code

A Study on Grade Classification for Improvement of Water Quality and Water Quality Characteristics in the Han River Watershed Tributaries

한강 수계 지류 하천의 수질 특성 및 수질 개선을 위한 등급화 방안 연구

  • Cho, Yong-Chul (Han River Environment Research Center, National Institute of Environmental Research) ;
  • Park, Minji (Han River Environment Research Center, National Institute of Environmental Research) ;
  • Shin, Kyungyong (Han River Environment Research Center, National Institute of Environmental Research) ;
  • Choi, Hyeon-Mi (Han River Environment Research Center, National Institute of Environmental Research) ;
  • Kim, Sanghun (Han River Environment Research Center, National Institute of Environmental Research) ;
  • Yu, Soonju (Han River Environment Research Center, National Institute of Environmental Research)
  • 조용철 (국립환경과학원 한강물환경연구소) ;
  • 박민지 (국립환경과학원 한강물환경연구소) ;
  • 신경용 (국립환경과학원 한강물환경연구소) ;
  • 최현미 (국립환경과학원 한강물환경연구소) ;
  • 김상훈 (국립환경과학원 한강물환경연구소) ;
  • 유순주 (국립환경과학원 한강물환경연구소)
  • Received : 2019.02.11
  • Accepted : 2019.04.22
  • Published : 2019.06.30

Abstract

The objective of this research is to evaluate the water quality characteristics using the statistical analysis of major tributaries in the Han River and to provide water quality improvement plan by selecting tributaries that should be preferentially managed by river grade classification method. The major 15 tributaries in Han River watershed were monitored for discharge and water quality during January-December 2017. As a result of the correlation analysis, the river discharge has been not correlation with other water quality constituents (p>0.05) but COD and TOC were significantly correlated (r=0.957, p<0.01). The main cause of water quality fluctuation was organic pollutants and nutrients in the principal component analysis (PCA) method. The BOD, COD, TOC, TN, and TP were found to be significantly different (p<0.05) by seasonal in result of one-way ANOVA analysis. Result of river grade classification by quantitative indicators the tributaries requiring improvement of water quality were Gulpocheon, Anyangcheon, Wangsukcheon, and Tancheon which affected by wastewater treatment plant.In this research, we determined tributaries that need to improve the water quality of Han River watershed and it can be used as an important data for efficient water quality management.

본 연구는 한강 수계의 주요 지류 하천에 통계분석을 이용하여 수질특성을 파악하고 하천 등급화 방법에 따른 우선으로 관리되어야 할 지류 하천을 선정하여 수질 개선 방안을 제시하는 것이다. 한강 수계의 주요 15개 지류 하천을 대상으로 2017년 1월부터 12월까지 유량 및 수질을 모니터링 하였다. 상관 분석 결과 하천 유량은 수질 항목 간의 상관성(p>0.05)이 있지 않았으나 COD와 TOC는 통계적으로 유의한 수준의 높은 상관성을 나타냈다(r=0.957, p<0.01). 주성분 분석 결과 유기오염 물질 및 영양염류에 의한 오염이 수질변동의 주요한 요인으로 나타났으며 BOD, COD, TOC, TN, TP는 일원 분산분석 결과 계절별로 유의한 수준에서 차이가 있는 것으로 나타났다(p<0.05). 정량적 지표에 따른 하천 등급화 결과 수질개선이 필요한 지류 하천은 공공하수처리시설 방류수의 영향을 받는 굴포천, 안양천, 왕숙천, 탄천 등으로 나타났다. 본 연구를 통하여 한강 수계의 수질 개선이 필요한 지류 하천을 선정할 수 있었으며 효율적인 수질 관리를 위한 중요한 자료로 활용될 수 있을 것으로 판단된다.

Keywords

HOPHBL_2019_v28n3_215_f0001.png 이미지

Figure 1. Monitoring sites of discharge and water quality in the Han River watershed tributaries.

HOPHBL_2019_v28n3_215_f0002.png 이미지

Figure 2. The relationship between BOD-TOC and COD-TP concentration in the Han River watershed tributaries.

HOPHBL_2019_v28n3_215_f0003.png 이미지

Figure 3. Result of river environment standard for water quality for BOD and TP parameter in the Han river watershed tributaries.

HOPHBL_2019_v28n3_215_f0004.png 이미지

Figure 4. Component plot in rotated space.

HOPHBL_2019_v28n3_215_f0005.png 이미지

Figure 5. Dendrogram using Ward‘s linkage of cluster analysis.

Table 1. Characteristics of 15 tributaries in Han River watershed

HOPHBL_2019_v28n3_215_t0001.png 이미지

Table 2. Average concentration of discharge and water quality data in Han River watershed tributaries

HOPHBL_2019_v28n3_215_t0002.png 이미지

Table 3. Pearson correlation coefficients of discharge-water quality parameters in the Han River watershed tributaries

HOPHBL_2019_v28n3_215_t0003.png 이미지

Table 4. Results of principal component analysis of normalized data

HOPHBL_2019_v28n3_215_t0004.png 이미지

Table 5. Rotated component matrix by principal component analysis

HOPHBL_2019_v28n3_215_t0005.png 이미지

Table 6. Results of one-way ANOVA analysis

HOPHBL_2019_v28n3_215_t0006.png 이미지

Table 7. Index score for tributaries grade classification

HOPHBL_2019_v28n3_215_t0007.png 이미지

Table 8. Water quality improvement priorities selected results in the Han River watershed tributaries

HOPHBL_2019_v28n3_215_t0008.png 이미지

References

  1. Ahn TW, Jung JH, Kim TH, Kim SW, Choi IS, Oh JM. 2012. A Study on the Characteristic of Pollutants of Water Quality and Sediments in Gul-po Stream Basin. Journal of Korean Society of Environmental Engineers. 34(7): 495-503. [Korean Literature] https://doi.org/10.4491/KSEE.2012.34.7.495
  2. Bernard P, Antoine L, and Bernard L. 2004. Principal Component Analysis: an Appropriate Tool for Water Quality Evaluation and Management-application to a Tropical Lake System. Ecological Modeling. 178. 295-311. https://doi.org/10.1016/j.ecolmodel.2004.03.007
  3. Cho YC, Choi HM, Lee YJ, Ryu IG, Lee MG, Gu DH, Choi KW, Yu SJ. 2018. Statistical Analysis of Water Quality Data in the Imjin River for Total Pollutant Load Management. Journal of Environment Impact Assessment. 27(4): 353-366. [Korean Literature]
  4. Cho YC, Choi JW, Noh CW, Kwon PS, Kim SH, Yu SJ. 2018. Evaluation of Discharge-Water Quality Characteristics and River Grade Classification of Jinwi River Unit Basin. Journal of Environment Impact Assessment. 27(6): 705-717. [Korean Literature]
  5. Cho YC, Lee SW, Ryu IG, Yu SJ. 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. 39(11): 641-649. [Korean Literature] https://doi.org/10.4491/KSEE.2017.39.11.641
  6. Choi OY, Kim KH, Han IS. 2015. A Study on the Spatial Strength and Cluster Analysis at the Unit Watershed for the Management of Total Maximum Daily Loads. Journal of Korean Society on Water Environment. 31(6): 700-714. [Korean Literature] https://doi.org/10.15681/KSWE.2015.31.6.700
  7. Forina M, Armanino C, Raggio V. 2002. Clustering with dendrograms on interpretation variables. Analysis Chimica Acta. 454: 13-19. https://doi.org/10.1016/S0003-2670(01)01517-3
  8. Gwak BR, Kim IK. 2016. Characterization of water quality in Changnyeong-Haman weir section using statistical analysis. Journal of Korean Society of Environmental Engineers. 38(2): 71-78. [Korean Literature] https://doi.org/10.4491/KSEE.2016.38.2.71
  9. Jung KY, Ahn JM, Kim KS, Lee IJ, Yang DS. 2016. Evaluation of Water Quality Characteristics and Water Quality Improvement Grade Classification of Geumho River Tributaries. Journal of Environmental Science Intemational. 25(6): 767-787. [Korean Literature] https://doi.org/10.5322/JESI.2016.25.6.767
  10. Jung KY, Kim GH, Lee JW, LEE IJ, Yoon JS, Lee KL, Im TH. 2013a. Selection of Priority Management Target Tributary for Effective Watershed Management in NamRiver Mid-watershed. Journal of korean Society on Water Environment. 29(4): 514-522. [Korean Literature]
  11. Jung SJ, Kim KS, Seo DJ, Kim JH, Lim BJ. 2013b. Evaluation of Water Quality Characteristics and Grade Classification of Yeongsan River Tributaries. Journal of Korean Society on Water Environment. 29(4): 504-513. [Korean Literature]
  12. Jung SJ, Lee DJ, Hwang KS, Lee KH, Choi KC, Im SS, Lee YH, Lee JY, Lim BJ. 2012. Evaluation of Pollutant Characteristics in Yeongsan River Using Multivariate Analysis. Korean Journal of Limnology. 45(4): 368-377. [Korean Literature] https://doi.org/10.11614/KSL.2012.45.4.368
  13. Jung TY, Yun DH, Shim MJ, Lee SM, Yoon YY. 2018. Long-Term Variations of Water Quality and Material Flux in the Han River Korea. KSWST Journal of Water Treatment. 26(5): 55-64. [Korean Literature]
  14. Kim JH, Lee SW, Cha SM. 2016a Environmental statistics & data analysis. Hannarae publishing. [Korean Literature]
  15. Kim MA, Lee JK, Zoh KD. 2007. Evaluation of the Geum River by multivariate analysis: principal component analysis and factoranalysis. Journal of Korean Society on Water Environmental. 23(1): 161-168. [Korean Literature]
  16. Kim SB, Park YH, Kim YS, Kim SY. 2018. The Distribution Characteristics of Organic Matters in the Contaminated Tributaries of Han River Region. Journal of Korean Society on Water Environment. 34(5): 494-502. [Korean Literature] https://doi.org/10.15681/KSWE.2018.34.5.494
  17. Kim SY, Ryu IG, Park MJ, Shin KY, Hwang SH, Cho HS, Lee JK, Lee YJ. 2016b. Characteristics of Water Quality Trend using Multivariated Analysis for the Han River. Journal of Environmental and Sanitary Engineering. 31(1): 13-25. [Korean Literature]
  18. Kim WY, Kim DH, Choi YC. 2010. A Study on application limitation of AHP priority vector with expert measurement. Journal of thr Korean Society for Aeronautical and Flight Operation. 18(3): 92-99. [Korean Literature]
  19. Kim YJ, Gal BS, Park JB, Kim SH, Im TY. 2018. Classification of Nakdong River Tributaries under Priority Management based on their Characteristics and Water Quality Index. Journal of Society on Water Environment Engineers. 40(2): 73-81. [Korean Literature]
  20. Kim YY and Lee SJ. 2011. Evaluation of Water Quality for the Han River Tributaries Using multivariate Analysis. Journal of Korean Society of Environment Engineers. 33(7): 501-510. [Korean Literature] https://doi.org/10.4491/KSEE.2011.33.7.501
  21. Kwon TH. 2013. A Study of consideration of flowing-in branches's effect on the water quality for improvement of the water quality in of Keumho river. Master's Thesis. Yeungnam University. Gyeongsangbuk.
  22. Lee YJ, Park MJ, Son JY, Park JR, Kim GD, Hong CS, Gu DH, Lee JG, Noh CW, Shin KY, Yu SJ. 2017. Spatial and Seasonal Water Quality Variations of Han River Tributries. Journal of Environment Impact Assessment. 26(6): 418-430. [Korean Literature]
  23. Lim BS, Cho BW, Kim YI, Kim DY. 2010. Application of Priority Order Selection Technique for Water Quality Improvement in Stream Watershed by Relationship of Flow and Water Quality. Journal of Society on Water Environment Engineers. 32(8): 802-808. [Korean Literature]
  24. Min KS. 2011. Watershed management and restoration tributaries. Journal of Korean Water Resources Assocition. 44(3): 18-23. [Korean Literature]
  25. Minister of Land, Infrastructure and Transport. 2004. Hydrological Observation Manual. [Korean Literature]
  26. Ministry of Environment. 2017. Water Quality Monitoring Program. [Korean Literature]
  27. Ministry of Environment. 2018. Water Environment Information. http://water.nier.go.kr.
  28. Na SM, Lim TH, Lee JY, Kwon HK, Cheon SU. 2015. Flow Rate.Water Quality Characteristics of Tributaries and a Grouping Method for Tributary Management in Nakdong River. Journal of Wetlands Research. 17(4): 380-390. [Korean Literature] https://doi.org/10.17663/JWR.2015.17.4.380
  29. Noh HJ. 2005. Multivariate analysis theory and practice using spss & excel. Hyungseul publishing networks; pp. 87-469. [Korean Literature]
  30. Park JH, Sohn SM, Rhew DH. 2011. A Study on the Discharge Characteristics of the Pollutants using the Empirical Equation and Factor Analysis - Case Study of the Upper and Lower Qatershed of South han River. Journal of Korean Society on Water Quality. 27(6): 905-913. [Korean Literature]
  31. Park JS, Rhee KH. 2014. Items and Indicators of Evaluation for Decision of Priority in Improving River Water Quality. The Korea Spatial Planning Review. 80: 83-100. [Korean Literature] https://doi.org/10.15793/kspr.2014.80..006
  32. Park SH, Kim HS, Cho BU, Moon EH, Choi JH. 2016. Watershed Management Plan through Water Monitoring for Main Branches of 4 Water Systems in Chungcheongnamdo. Journal of Korean Society on Water Environment. 32(2); 163-172. [Korean Literature] https://doi.org/10.15681/KSWE.2016.32.2.163
  33. Park SH, Moon EH, Choi JH, Cho BW, Kim HS, Jeong WH, Yi SJ, Kim YI. 2011. Analysis of distribution characteristics of flowrate and water quality in tributary at Chungcheongnam-do Korean. Korean Society Environment Engineers. 29(1); 107-113. [Korean Literature]
  34. Choi JH. 2016b. Watershed Management Plan through Water Monitoring for Main Branches of 4 Water Systems in Chungcheongnamdo. Journal of Korean Society on Water Environment. 32(2); 163-172. [Korean Literature] https://doi.org/10.15681/KSWE.2016.32.2.163
  35. Ravichandran S, Ramanibai R and Punderikanthan NV. 1996. Ecoregions for describing water quality patterns in Tamiraparani basin, South India. Journal of Hydrology. 178: 257-276. https://doi.org/10.1016/0022-1694(95)02801-3
  36. Shrestha S and Kazama F. 2007. Assessment of Surface Water Quality Using Multivariate Statistical Techniques: A Case Study of the Fuji River Basin, Japan. Environmental Modelling & Software. 22: 464-475. https://doi.org/10.1016/j.envsoft.2006.02.001
  37. Simeonov V, Stratis JA, Samara C, Zachariadis G, Voutsa D, Anthemidis A, Sofoniou M, Kouimtzis T. 2003. Assessment of the surface water quality in Northern Greece. Water Research. 37: 4119-4124. https://doi.org/10.1016/S0043-1354(03)00398-1
  38. Singh KP, Malik A, Mohan D, Sinha S. 2004. Water quality assessment and apportionment of pollution souces of Gomti river (India) using multivariate statistical techniques - a case study. Analysis Chimica Acta. 538 (1-2): 355-374.
  39. Son SC, Kim DH, Lee JC, Lee JY, Lee KW, Kim WJ, Jung JW. 2017a. Characteristics of Water Quality in Tributaries of the Sumjin River basin. Journal of the Korean Society for Environmental Technology. 18(6): 563-570. [Korean Literature] https://doi.org/10.26511/JKSET.18.6.6
  40. Son YG, Na SM, Im TH, Kim SH. 2017b. Water Quality Analysis in Nakdong River Tributaries Using 2012-2016 Monitoring Data. Journal of Korean Society on Water Environment. 33(6): 680-688. [Korean Literature] https://doi.org/10.15681/KSWE.2017.33.6.680
  41. Sustainable Water Resources Research Center (SWRRC). 2004. Streamflow Measurement Manual. 1-84. [Korean Literature]
  42. Yi SJ, Kim YI. 2014. Improvement on Management of Non-pont Source Pollution for Reasonable Implementation of TMDL-Focusing on Selection of Non-point Source Pollution Management Region and Management of Non-point Source Pollutant. Journal of Society on Water Environment Engineers. 36(10): 719-723. [Korean Literature]
  43. Yu SJ, Cho HS, Ryu IG, Son JY, Park MJ, Lee BM. 2018. Characteristics of Spatial and Temporal Organic Matter In the Han River Watershed. Journal of Korean Society on Water Environment. 34(4): 409-422. [Korean Literature] https://doi.org/10.15681/KSWE.2018.34.4.409
  44. Zhaoshi W, Xiaolong W, Yuwei C. Yongiu C, Jiancai D. 2018. Assessing river water quality using water quality index in Lake Taihu Basin, China. Science of the Total Environment. 612: 914-922. https://doi.org/10.1016/j.scitotenv.2017.08.293

Cited by

  1. 실시간 수질지수(RTWQI)를 활용한 남한강 주요 지류의 수질평가 적용성 검토 vol.30, pp.4, 2021, https://doi.org/10.5322/jesi.2021.30.4.321