DOI QR코드

DOI QR Code

Seasonal Variation of Water Quality and Cryptomonads Distribution in Oncheon River

온천천내 수질 및 Cryptomonads 분포의 시기별 변화

  • Jeong, Tae-Uk (Busan Metropolitan City Institute of Health & Environment) ;
  • Jeong, Sun-Young (Busan Metropolitan City Institute of Health & Environment) ;
  • Kim, Min-Jeong (Busan Metropolitan City Institute of Health & Environment) ;
  • Choi, Yoo-Jeong (Busan Metropolitan City Institute of Health & Environment) ;
  • Cho, Eun-Jeong (Busan Metropolitan City Institute of Health & Environment) ;
  • Jeong, Jae-Eun (Busan Metropolitan City Institute of Health & Environment) ;
  • Seo, Dong-Cheol (Department of Applied Life Chemistry & Institute of Agriculture and Life Science, Gyeongsang National University) ;
  • Park, Jong-Hwan (Department of Life Resources Industry, Dong-A University)
  • 정태욱 (부산광역시 보건환경연구원) ;
  • 정선영 (부산광역시 보건환경연구원) ;
  • 김민정 (부산광역시 보건환경연구원) ;
  • 최유정 (부산광역시 보건환경연구원) ;
  • 조은정 (부산광역시 보건환경연구원) ;
  • 정재은 (부산광역시 보건환경연구원) ;
  • 서동철 (경상국립대학교 환경생명화학과 & 농업생명과학연구원) ;
  • 박종환 (동아대학교 생명자원산업학과)
  • Received : 2022.08.09
  • Accepted : 2022.08.30
  • Published : 2022.09.30

Abstract

BACKGROUND: Recently, the inflow of nonpoint pollutants into rivers caused by rapid urban and industrialization promotes the proliferation of algae, which causes eutrophication of rivers. This study was conducted to evaluate the seasonal variation of water quality characteristics and cryptomonads growth in the Oncheon River. METHODS AND RESULTS: The water quality and distribution characteristics of cryptomonads in the Oncheon River were investigated monthly for 12 months from January 2021. The cell number of cryptomonads was intensively developed in January-April, and it decreased sharply in the summer with heavy rainfall. In particular, cryptomonads moved to the downstream side of the river depending on the time, and as a result, significant differences were shown for each investigation point. The Korean trophic state index (TsiKO) in Oncheon River was classified as eutrophy all year round, indicating that cryptomonads can grow year-round. Distribution characteristics of cryptomonads in Oncheon River showed high correlations with DO (r=0.678), BOD (r=0.826) and chlorophyll-a (r=0.613) in water. CONCLUSION(S): In order to reduce cryptomonads in the Oncheon River, it is judged that a complex countermeasure considering the residence time, insolation and precipitation along with water quality factors is required.

Keywords

Acknowledgement

This work was supported by the international suitability infrastruction project of test and examination in environmental field funded by National Institute of Environmental Research.

References

  1. Dupas R, Delmas M, Dorioz JM, Garnier J, Moatar F, Gascuel-Odoux C (2015) Assessing the impact of agricultural pressures on N and P loads and eutrophication risk. Ecological Indicators, 48, 396-407. https://doi.org/10.1016/j.ecolind.2014.08.007.
  2. Zhou Y, Wang L, Zhou Y, Mao XZ (2020) Eutrophication control strategies for highly anthropogenic influenced coastal waters. Science of The Total Environment, 705, 135760. https://doi.org/10.1016/j.scitotenv.2019.135760.
  3. Bektas N, Akbulut H, Inan H, Dimoglo A (2004) Removal of phosphate from aqueous solution by electro-coagulation. Journal of Hazardous Materials, 106, 101-105. https://doi.org/10.1016/j.jhazmat.2003.10.002.
  4. Kong X, Koelmans AA (2019) Modeling decreased resilience of Shallow Lake ecosystems toward eutrophication due to microplastic ingestion across the food web. Envrionmental Science and Technology, 53, 13822-13831. https://doi.org/10.1021/acs.est.9b03905.
  5. Shen Z, Zhong Y, Huang Q, Chen L (2015) Identifying non-point source priority management areas in watersheds with multiple functional zones. Water Research, 68, 563-571. https://doi.org/10.1016/j.watres.2014.10.034.
  6. Go SM, Im HB, Jung EH, Kim TY, Kim JK, Choi JI, Lee HJ, Oh JG (2019) Investigation of Zooplankton communities in streams in Nothern Gyeonggi-do province. Journal of Environmental Health Sciences, 45(5), 426-433. https://doi.org/10.5668/JEHS.2019.45.5.426.
  7. Lee J, Jung Y, Choi J (2018) Spatial and temporal appearance of filamentous Cyanobacteria and periphyton composition in restorated urban streams. Journal of the Environment, 13(1), 1-9.
  8. Kim MH, Ji HS, Cho JG, Cho S (2018) Identification of red tide-causing organism and characteristics of red tide occurrence in the Oncheon down stream, Busan. Journal of Korean Society on Water Environment, 34(3), 285-292. https://doi.org/10.15681/KSWE.2018.34.3.285.
  9. Kim KS, Choi SH, Lee SM, Cho EJ, Kim YT, Cho JG (2014). Multivariate analysis of chlorophyll-a and water quality in the tidal river. Busan Metropolitan City Institute of Health and Environment, 24(1), 101-109.
  10. Jeong J (2006). Illustration of the Freshwater Algae of Korea, pp. 314-316, 1st edition, Academic Books, Korea.
  11. Kim I, Lee J (2018) Influencing factor analysis on groundwater level fluctuation near River. Ecology and Resilient Infrastructure, 5(2), 72-81. https://doi.org/10.17820/eri.2018.5.2.072.
  12. Park JC, Park JW, Kim JD, Shin JK (2005) Spatial and temporal variations of environmental factors and phytoplankton community in Andong Reservoir, Korea. Algae, 20(4), 333-343. https://doi.org/10.4490/algae.2005.20.4.333.
  13. Kim HW, Choi JY, La GH, Jeong KS, Joo GJ (2010) Relationship between rainfall and Zooplankton community dynamics in a riverine wetland ecosystem (Upo). Korean Journal of Ecology and Environment, 43(1), 129-135.
  14. Lee JH, Kwon JN, Yang SY (2002) Seasonal variation of phytoplankton community in the Naktong River. Algae, 17(4), 267-273. https://doi.org/10.4490/ALGAE.2002.17.4.267.
  15. Tripathi M, Singal SK (2019) Use of principal component analysis for parameter selection for development of a novel water quality index: A case study of river Ganga India. Ecological Indicators, 96, 430-436. https://doi.org/10.1016/j.ecolind.2018.09.025.
  16. Uhm MJ, Moon YH, Ahn BK, Shin YK (2008) Assessment of water quality and pollutant loads agricultural watershed in Jeonbuk Province. Korean Journal of Environmental Agriculture, 27(2), 111-119. https://doi.org/10.5338/KJEA.2008.27.2.111.
  17. Yun JJ, Kang SW, Park JH, Seo DC, Kim HW, Cho JS (2020) Assessment of seasonal variation in water quality in Daedong Lake. Korean Journal of Environmental Agriculture, 39(3), 197-203. https://doi.org/10.5338/KJEA.2020.39.3.23.
  18. Lee YJ, Park M, Son J, Park J, Kim G, Hong C, Gu D, Lee J, Noh C, Shin KY, Yu SJ (2017) Spatial and seasonal water quality variations of Han River tributries. Journal of Environmental Impact Assessment, 26(6), 418-430. https://doi.org/10.14249/eia.2017.26.6.418.
  19. Son HJ (2013) Long-term variations of phytoplankton biomass and water quality in the downstream of Nakdong River. Journal of Korean Society of Environmental Engineers, 35(4), 263-267. https://doi.org/10.4491/KSEE.2013.35.4.263.
  20. Domagalski J, Lin C, Luo Y, Kang J, Wang S, Brown LR, Munn MD (2007) Eutrophication study at the Panjiakou-Daheiting Reservoir system, northern Hebei Province, People's Republic of China: Chlorophyll-a model and sources of phosphorus and nitrogen. Agricultural Water Management, 94, 43-53. https://doi.org/10.1016/j.agwat.2007.08.002.
  21. Park J, Kal B, Lee C, Hong S, Choi M, Seo H (2018) Analysis of the Trophic characteristics of the SoOak River watershed using the Korean trophic state index. Journal of Wetlands Research, 20(4), 330-337. https://doi.org/10.17663/JWR.2018.20.4.330.