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Suggestion for Trophic State Index of Korean Lakes (Upper Layer)

한국 호소 상층부의 영양상태지수 제안

  • Received : 2019.05.04
  • Accepted : 2019.07.16
  • Published : 2019.07.30

Abstract

In this study, the relationship between trophic state indices was analyzed based on the monthly or weekly water quality data of 81 lakes (mostly man-made) in Korea between 2013-2017. Carlson's $TSI_C$ and Aizaki's $TSI_m$ were calculated using the summer (Jun.-Sep.) average data at the upper water layer. The previous Korean trophic state index ($TSI_{KO}$) and the newly suggested index ($TSI_{KON}$) was calculated using the annual average data at the whole layer and at the upper layer, respectively. While previous trophic state index (TSI) such as Carlson's TSI included logarithmic function, we devised newly Monod-type $TSI_{KON}$(Chl) that is 50 when half-saturation concentration of chlorophyll ${\alpha}$ ($Chl.{\alpha}$) measured by UNESCO-method is $10{\mu}gL^{-1}$. MMF-type $TSI_{KON}$(TP) was derived based on the relationship between TP and $Chl.{\alpha}$. A comprehensive $TSI_{KON}$ was decided as the larger one of the two $TSI_{KON}$ values. The range of previous TSI was usually 40-50 for the mesotrophic state, which seemed narrow to discriminate trophic characteristics of the class. The upper limits of $TSI_{KON}$ for oligotrophic, mesotrophic, and eutrophic state were set to 23, 50 and 75, respectively. Classification by $TSI_C$ and $TSI_m$ showed higher frequency of eutrophic class compared to $TSI_{KO}$ and $TSI_{KON}$. This means that the estimation by TSIs developed in foreign natural lakes can lead to distorted results in the classification of the trophic state of Korean lakes. This is due to the decrease of transparency by non-algal material and the reduction in phosphorus availability to algal growth, particularly in Monsoon period.

Keywords

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Fig. 1. Fitness of TSI(TP) and TSI(SD) to TSI(Chl); (a) (c) TSI of Carlson (1977), (b) (d) TSI of Aizaki et al. (1981).

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Fig. 2. Quadrant analysis for deviation of TSI; (a) TSI of Carlson (1977), (b) TSI of Aizaki et al. (1981).

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Fig. 3. The comparison of TSI variation according to Chl.a.

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Fig. 4. Fitness between parameters of TSIKON and quadrant analysis for the deviation.

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Fig. 5. Suggestion of classification scheme for trophic state of Korean lakes based on TSIKON.

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Fig. 6. Trophic state assessment of 81 lakes by several trophic state indices in Korea.

Table 1. Trophic state index of Korean lakes suggested in this study

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Table 2. New and original trophic state index of Korea and its associated parameters

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Table 3. Oligotrophic and hypertrophic lakes based on TSIKON

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References

  1. Aizaki, M., Otsuki, A., Fukushima, T., Kawai, T., Hosomi, M., and Muraoka, K. (1981). Application of modified Carlson's trophic state index to Japanese lakes and its relationships to other parameters related to trophic state, Research Report from the National Institute for Environmental Studies, 23, 13-31. [in Japanese].
  2. An, K. G. (2000). Monsoon inflow as a major source of in-lake phosphorus, Korean Journal of Limnology, 33(3), 222-229.
  3. Carlson, R. E. (1977). A trophic state index for lakes, Limnology and Oceanography, 22(2), 361-369. https://doi.org/10.4319/lo.1977.22.2.0361
  4. Carlson, R. E. (1992). Expanding the trophic state concept to identify non-nutrient limited lakes and reservoirs, 59-71, [In] Proceedings of a National Conference on Enhancing the States' Lake Management Programs, Monitoring and Lake Impact Assessment. Chicago.
  5. Carlson, R. E. and Simpson, J. (1996). A trophic state index, 7-1-7-20, [In] A Coordinator''s Guide to Volunteer Lake Monitoring Methods, North American Lake Management Society, Madison, WI.
  6. Forsberg, C. and Ryding, S. O. (1980). Eutrophication parameters and trophic state indices in 30 Swedish waste-receiving lakes, Archiv fur Hydrobiologie, 89(1/2), 189-207.
  7. Kim, B., Ahn, T. S., and Cho, K. S. (1988). A comparative study of the eutrophication in reservoirs of the Han river, Korean Journal of Limnology, 21(3), 151-163. [Korean Literature]
  8. Kim, B. and Kim, Y. (2004). Phosphorus cycle in a deep reservoir in Asian monsoon area (Lake Soyang, Korea) and the modeling with a 2-D hydrodynamic water quality model [CE-QUALW2], Korean Journal of Limnology, 37(2), 205-212. [Korean Literature]
  9. Kim, B., Park, J. H., Choe, K., and Hwang, G. (2001). Eutrophication of reservoirs in South Korea, Limnology, 2(3), 223-229. https://doi.org/10.1007/s10201-001-8040-6
  10. Kim, B., Park, J. H., Hwang, G., and Choe, K. (1997). Eutrophication of large freshwater ecosystems in Korea, Korean Journal of Limnology, 30(Supplement), 512-517.
  11. Kim, H. S. and Hwang, S. J. (2004). Seasonal variation of water quality in a shallow eutrophic reservoir, Korean Journal of Limnology, 37(2), 180-192. [Korean Literature]
  12. Kong, D. (1997). Limnological and ecological characteristics of a river-reservoir (Paldang), Korea, Korean Journal of Limnology, 30(Supplement), 524-535.
  13. Kong, D. (2019). Statistical analysis on water quality characteristics of large lakes in Korea, Journal of Korean Society on Water Environment, 35(2), 165-180. [Korean Literature] https://doi.org/10.15681/KSWE.2019.35.2.165
  14. Kong, D. and Kim, B. (2019). Suggestion for trophic state classification of Korean lakes, Journal of Korean Society on Water Environment, 35(3), [in press]. [Korean Literature]
  15. Lee, J. Y., Lee, J. H., Shin, K. H., Hwang, S. J., and An, K. G. (2007). Trophic state and water quality characteristics of Korean agricultural reservoirs, Korean Journal of Limnology, 40(2), 223-233. [Korean Literature]
  16. Lee, Y., Kim, J. K., Jung, S., Eum, J., Kim, C., and Kim, B. (2014). Development of a water quality index model for lakes and reservoirs, Paddy and Water Environment, 12(Supplement 1), 19-28. https://doi.org/10.1007/s10333-014-0450-2
  17. Monod, L. J. (1949). The growth of bacterial cultures, Annual Review of Microbiology, 3, 371-394. https://doi.org/10.1146/annurev.mi.03.100149.002103
  18. Morgan, P. H., Mercer, L. P., and Flodin, N. W. (1975). General model for nutritional responses of higher organisms, Proceedings of the National Academy of Sciences, 72, 11, 4327-4331. https://doi.org/10.1073/pnas.72.11.4327
  19. National Institute of Environmental Research (NIER). (2006). A study on the comprehensive assessment methods of water environment-Eutrophication-, 1-282. [Korean Literature]
  20. National Institute of Environmental Research (NIER). (2018). Water environment information system, http://water.nier.go.kr (accessed May. 2018). [Korean Literature]
  21. Park, Y. K., Seo, Y. D., and Kim, J. H. (1988). A study on the evaluation of trophic state of Andong reservoir, Journal of Korean Society on Water Environment, 4(2), 23-30.
  22. Rast, W. and Lee, G. F. (1978). Summary analysis of the North American (US Portion) OECD eutrophication project:Nutrient loading-lake response relationship and trophic state indices, US EPA, Corvallis Environmental Research Laboratory, Corvallis, OR. EPA-600/3-78-008.
  23. United States Environmental Protection Agency (U.S. EPA). (1974). The relationships of phosphorus and nitrogen to the trophic state of Northeast and North-Central lakes and reservoirs, National Eutrophication Survey Working Paper no 23.
  24. Vollenweider, R. A. and Kerekes, J. (1982). Eutrophication of waters. monitoring, assessment and control, OECD Cooperative Programme on Monitoring of Inland Waters, OECD, 1-154.