DOI QR코드

DOI QR Code

수질오염총량제 대응을 위한 경남 하천 수질의 시공간 경향성 분석

Analyzing the Spatio-temporal Trend in TMDL Water Quality for Gyeongnam Using Emerging Hot Spot Analysis

  • 선단비 (경상대학교 지역환경기반공학전공) ;
  • 김지호 (경상대학교 지역환경기반공학전공) ;
  • 김상민 (경상대학교 지역시스템공학.농업생명과학연구원) ;
  • 장민원 (경상대학교 지역시스템공학.농업생명과학연구원)
  • Sun, Danbee (Agricultural Engineering Major, Gyeongsang National University) ;
  • Kim, Jiho (Agricultural Engineering Major, Gyeongsang National University) ;
  • Kim, Sangmin (Department of Agricultural Engineering & Institute of Agriculture and Life Science, Gyeongsang National University) ;
  • Jang, Min-Won (Department of Agricultural Engineering & Institute of Agriculture and Life Science, Gyeongsang National University)
  • 투고 : 2020.10.12
  • 심사 : 2020.11.17
  • 발행 : 2020.11.30

초록

This study aimed to provide a basic information for managing the water quality of national and regional 1st rivers in Gyeongnam by analyzing the emerging hot spot patterns in BOD, T-P, and TOC, and by grouping the changing trends into clusters. The emerging hot spot analysis for each water quality item was implemented in ArcGIS Desktop with monthly water quality data from 96 water environmental monitoring stations in Gyeongnam, and then four patterns of water quality change were classified by the K-mean cluster analysis. As for BOD, persistent cold spot pattern covered about 42.9% of target rivers, and T-P concentration tended to be low or be getting lower at over 70% of target rivers. While, for TOC, about 70% of target rivers resulted in oscillating hot spots. In addition, the cluster analysis showed that the downstream of Nakdong river had the top priority in terms of water quality management because of the increasing concentration for all the three water quality.

키워드

참고문헌

  1. Ahn, J. M., I. J. Lee, K. Y. Jung, J. Kim, K. Lee, S. Cheon, and S. Lyu, 2016. Characteristics of trend and pattern for water quality monitoring networks data using Seosonal-Kendall, SOM and RDA on the Mulgeum in the Nakdong river. Journal of Environmental Science International 25(3): 361-371. doi:10.5322/JESI.2016.25.3.361 (in Korean).
  2. Bass, C. A. 2017. Emerging hotspot analysis of Florida Manatee(Trichechus manatus latirostris) mortality(1974-2012), Master's thesis, Fort Lauderdale, Fl.: Nova Southeastern University.
  3. Cho, H. K., H. J. Lim, an d S. M. Kim, 2018. Comparison of water quality before and after four major river project for water monitoring stations located near 8 weirs in Nakdong river. Journal of Agriculture & Life Science 52(6): 89-101. doi:10.14397/jals.2018.52.6.89 (in Korean).
  4. Choi, O. Y., H. T. Kim, H. S. Seo, and I. S. Han, 2017. Analysis of water quality changes & characterization at the watershed in Han river basin for target indicator in TMDLs. Journal of Korean Society on Water Environment 33(1): 15-33 (in Korean). https://doi.org/10.15681/KSWE.2017.33.1.15
  5. Choi, K. Y., T. H. Im, J. W. Lee, and S. U. Cheon, 2012. Evaluation of water quality characteristics in the Nakdong river using statistical analysis. Journal of Korea Water Resources Association 45(11): 1157-1168. doi:10.3741/JKWRA.2012.45.11.1157 (in Korean).
  6. ESRI, ArcGIS Pro. http://pro.arcgis.com. Accessed 28 Jul. 2020.
  7. Harris, N. I., E. Goldman, C. Gabris, J. Nordling, S. Minnemeyer, S. Ansari, M. Lippmann, L. Bennett, M. Raad, M. Hansen, and P. Potapov, 2017. Using spatial statistics to identify emerging hot spots of forest loss. Environmental Research Letters 12: 024120. doi:10.1088/1748-9326/aa5a2f.
  8. HRFCO (Han River Flood Control Office), 2019. 2018 List of Rivers in Korea. Ministry of Land, Infrastructure and Transport (in Korean).
  9. Kim, J., H. Jeong, H. Kim, Y. Kim, and D. Yang, 2020. A non-parametric trend analysis of water quality using water environment network data in Nakdong river. Journal of Environmental Impact Assessment 29(1): 61-77. doi:10.14249/eia.2020.29.1.61 (in Korean).
  10. Kim, J. H. and S. S. Park, 2004. Long-term trend analyses of water quality in Nakdong river based on Non-parametric statistical methods. Journal of Korean Society on Water Quality 20(1): 63-71 (in Korean).
  11. Kim, S. and S. M. Kim, 2017. Spatial water quality analysis of main stream of Nakdong river considering the inflow of tributaries. Journal of Korean Society on Water Environment 33(6): 640-649. doi:10.15681/KSWE.2017.33.6.640 (in Korean).
  12. Kristensson P. O., N. Dahlback, D. Anundi, M. Bjomstad, H. Gillberg, J. Haraldsson, and J. Stahl, 2009. An evaluation of space time cube representation of spatiotemporal patterns. IEEE Transactions on Visualization and Computer Graphics (4): 696-702. https://doi.org/10.1109/TVCG.2008.194
  13. Kwon, Y. S., M. J. Bae, J. S. Kim, Y. J. Kim, B. H. Kim, and Y. S. Park, 2014. Characterizing changes of water quality and relationships with environmental factors in the selected Korean reservoirs. Korean Journal of Ecology and Environment 47(3): 146-159. doi:10.11614/KSL.2014.47.3.146 (in Korean).
  14. Lee, J. S., and Jun, J. B., 2016. Factors affecting the spatial clustering pattern of major office buildings in Seoul: changing impacts between 2003 and 2012. Journal of the Architectural Institute of Korea Planning and Design 32(7): 105-113. doi:10.5659/JAIK_PD.2016.32.7.105 (in Korean).
  15. ME (Ministry of Environment), Total Pollution Load Management System. Https://tmdlms.nier.go.kr. Accessed 1 Oct. 2020.
  16. Shanae, R, 2019. Landsat collections reveal long-term algal bloom hot spots of Utah lake. Master's thesis, Provo, Ut: Brigham Young University.
  17. Shin, J. H., 2017, Analysis of geomorhpological factor and susceptibility of ship grounding accident: a case study of Tongyeong sea area. Master's thesis. Seoul: Ewha Womans University.
  18. Tak, J. Y., 2013. An experimental study on crime prevention effectiveness of intensive patrol at crimeprone area. Daejon: Hannam University (in Korean).
  19. Yang, D. S., K. Y. Jung, J. M. Ahn, I. J. Lee, an d D. S. Shin, 2017. Evaluation of water quality by each watershed in Nakdong river basin under TMDL management system. Proceedings of Korea Environmental Science Society Conference 26, 97. Gyeongju, Gyeongbuk: KENSS (in Korean).
  20. YNA (Yonhapnews Agency), 2019. Promoting the master plan for maintaining rivers in Gyeongsangnamdo, Http://yna.co.kr. Accessed 1 Oct. 2020 (in Korean)
  21. Yoon, E. J., D. K. Lee, H. Kim, an d K. L. Choi, 2016. Vulnerable homogeneous hotspot areas of the industrial sector for the climate change -focused on mitigation and adaptation perspective. Journal of Climate Change Research 7(1): .69-75. doi:10.15531/KSCCR.2016.7.1.69 (in Korean).
  22. WaterJournal, 2019. New paradigm for sustainable water management, Http://waterjournal.co.kr. Accessed 30 Oct. 2020 (in Korean)