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Classification of the Algal Monitoring Points by Histogram Analysis of Chlorophyll-a

Chlorophyll-a의 히스토그램 분석을 통한 녹조발생 우심지역 분류

  • Lee, Saeromi (Department of Land,Water and Environment Research, Korea Institute of Civil Engineering and BuildingTechnology) ;
  • Ahn, Chang Hyuk (Department of Land,Water and Environment Research, Korea Institute of Civil Engineering and BuildingTechnology) ;
  • Park, Jae Roh (Department of Land,Water and Environment Research, Korea Institute of Civil Engineering and BuildingTechnology)
  • 이새로미 (한국건설기술연구원 국토보전연구본부) ;
  • 안창혁 (한국건설기술연구원 국토보전연구본부) ;
  • 박재로 (한국건설기술연구원 국토보전연구본부)
  • Received : 2019.10.30
  • Accepted : 2019.12.16
  • Published : 2020.02.29

Abstract

In this study, we analyzed the value of Chl-a by histogram to classify the points where algal management is required. The degree of algal bloom by point was analyzed using the ogive curve, and the algal control points were classified into three stages according to the shape of the frequency distribution table. Of the four major rivers, low concentration of Chl-a appeared most frequently in the Han River, while the high concentration of Chl-a was frequently found at the points of the Geum and the Yeongsan Rivers. In the case of the Han River, no apprehensive areas were found thatrequire intensive management, while most points on the Geum and the Yeongsan Rivers required algal management. Finally, the Nakdong River basin was identified as points requiring algal management from the mid to downstream. The results of this study have confirmation of the possibility that the frequency distribution could be used as a supplementary indicator to express the algal bloom.

본 연구에서는 Chlorophyll-a (Chl-a)값을 빈도분석인 히스토그램(histogram)을 통해 녹조관리가 필요한 지점을 분류 하고자 하였다. 누적도수분포곡선(ogive curve)에 따라 지점별 녹조발생정도를 분석하였고, 히스토그램의 형태에 따라 관리지점을 3단계로 분류하였다. 4대강 중 한강에서 저농도의 Chl-a가 가장 많이 나타났고, 금강과 영산강 지점에서 높은 농도의 Chl-a가 빈번하게 나타났다. 히스토그램의 패턴에 따라 녹조의 관리 정도를 분류 할 수 있었는데, 한강의 경우 집중관리가 필요한 지점이 나타나지 않았고, 금강과 영산강은 대부분의 지점에서 녹조관리가 필요한 것으로 나타났다. 마지막으로 낙동강은 중류 및 하류 지점부터 녹조관리가 필요한 지점으로 분류되었다. 본 연구결과를 통해 빈도분석이 녹조발생의 우심지역 판단의 보조지표 활용 가능성 여부를 확인하였다.

Keywords

References

  1. Bae YH, Shin HG. 2015. Toxicities of Several Coagulants on Earthworm and the Effect of Sewage Sludges Coagulated by Mixtures of Those Coagulants on the Population Growth of Earthworm Eisenia andrei. Journal of Korea Society of Waste Management, 32(2): 182-190 [Korean Literature] https://doi.org/10.9786/kswm.2015.32.2.182
  2. Park GI, Bae YH. 2012. Ecotoxicological effects of Alum and Ferric chloride on the population of Eisenia fetida (Annelida ; Oligochaeta). Jornal of Korea Organic Resource Recycling Association, 20(1): 50-60 [Korean Literature]
  3. Byeon KD, Kim GY, Lee IJ, Lee S, Park JR, Hwang TM, Joo JC. 2016. Investigation and Evaluation of Algae Removal Technologies Applied in Domestic Rivers and Lakes. J. Korean Soc. Environ. Eng, 38(7): 387-394 [Korean Literature] https://doi.org/10.4491/KSEE.2016.38.7.387
  4. Jeong BK, Kim YJ, Jung SW, Lee HY, Shin YS. 2014. Temporal Variation and Identification of a Centric Diatom, Stephanodiscus spp. during Winter-spring Blooms in the Yeongsan River. Korean Journal of ecology and environment, 47(4): 273-281 [Korean Literature] https://doi.org/10.11614/KSL.2014.47.4.273
  5. Jung HY, Kim YH. 2019. Effectiveness of elimination inflowing algae in water treatment plant using natural algae remover. Journal of The Korean Society of Water and Wastewater, 33(4): 311-319. [Korean Literature] https://doi.org/10.11001/jksww.2019.33.4.311
  6. Kalabegishvili T, Kirkesali E, Rcheulishvili A. 2012. Synthesis of gold nanoparticles by blue-green algae Spirulina platensis (No. JINR-E-14-2012-31). Frank Lab. of Neutron Physics.
  7. Kim SH, Hong SC, Yi PG, Jang SH, Suh JM, Sivarkumar S, Park JS, Jung ES. 2019a. Water Quality Measurement using Amphibious Drones and Development of Chlorophyll-a Prediction Formula Through Temperature and DO. Journal of the Korean Society of Urban Environment, 19(2): 111-121 [Korean Literature] https://doi.org/10.33768/ksue.2019.19.2.111
  8. Kim SJ, Chung SW, Park HS, Cho YC, Lee HS, Park YJ. 2019b. Analysis of Environmental Factors Associated with Cyanobacteria Dominance in Baekje Weir and Juksan Weir. Journal of Korean Society on Water Environment, 35(3): 257-270 [Korean Literature] https://doi.org/10.15681/KSWE.2019.35.3.257
  9. Kim YJ, Lee SJ, Ahn GG. 2019c. Characteristics of chemical water quality and the empirical model analysis before and after the construction of Baekje Weir. Korean Society of Environmental Biology, 37(1): 48-59 [Korean Literature] https://doi.org/10.11626/KJEB.2019.37.1.048
  10. Korea Water Resources Corporation. 2016. Development of algae bloom control and countermeasure in the weir for the River systems. pp. 161-173 [Korean Literature]
  11. Krawczyk H, Ebert K, Neumann A. 2004. Algae Bloom detection in the Baltic Sea with MERIS data. In Proc. MERIS User Workshop.
  12. Nam SH, Lee JW, Kim EJ, Koo JW, Hwang TM. 2019. Elimination of Microcystin-LR by UV/Chlorine Oxidation Process. Joural of Korean Society of Water Science and Technology, 27(4): 15-23 [Korean Literature] https://doi.org/10.17640/KSWST.2019.27.4.15
  13. Park DY, Park HS, Chung SW. 2019. Analysis of Water quality variation by lowering of water level in Gangjeong-Goryong Weir in Nakdong River. Journal of Environmental Impact Assessment, 28(3): 245-262 [Korean Literature] https://doi.org/10.14249/EIA.2019.28.3.245
  14. Yang JH, Ryu KW, Kim JH, Lee YS, Ko JC. 2019. Characteristics of Phosphorus Removal and Reaction Crystals Using Calcined Oyster Shell. Journal of the Korean Society for Environmental Technology: 20(4): 236-242 [Korean Literature] https://doi.org/10.26511/JKSET.20.4.3
  15. Yeo HG. 2009. Phytoplankton community and phytohydrographic characteristics of the inside and outside of Saemangeum reservoir. Journal of the Korea Academia-Industrial Cooperation Society, 10(8): 2021-2025 [Korean Literature] https://doi.org/10.5762/KAIS.2009.10.8.2021