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A study on the development of a Blue-green algae cell count estimation formula in Nakdong River downstream using hyperspectral sensors

초분광센서를 활용한 낙동강 하류부 남조류세포수 추정식 개발에 관한 연구

  • Kim, Gwang Soo (Department of Civil & Environmental Engineering, Myongji University) ;
  • Choi, Jae Yun (Department of Civil and Environmental Engineering, Inje University) ;
  • Nam, Su Han (Department of Civil & Environmental Engineering, Myongji University) ;
  • Kim, Young Dod (Department of Civil & Environmental Engineering, Myongji University) ;
  • Kwon, Jae Hyun (Department of Civil and Environmental Engineering, Nakdong River Basin Environmental Research Center, Inje University)
  • 김광수 (명지대학교 토목환경공학과) ;
  • 최재윤 (인제대학교 건설환경공학부) ;
  • 남수한 (명지대학교 토목환경공학과) ;
  • 김영도 (명지대학교 토목환경공학과) ;
  • 권재현 (인제대학교 건설환경공학부(낙동강유역환경연구센터))
  • Received : 2022.12.04
  • Accepted : 2023.05.03
  • Published : 2023.06.30

Abstract

Due to abnormal climate phenomena and climate change in Korea, overgrowth of algae in rivers and reservoirs occurs frequently. Algae in rivers are classified into green algae, blue-green algae, diatom, and other types, and some species of blue-green algae cause problems due to odor and the discharge of toxic substances. In Korea, an algae alert system is in place, and it is issued based on the number of harmful blue-green algae cells. Thus, measuring harmful blue-green algal blooms is very important, and currently, the analysis method of algae involves taking field samples and determining the cell count of green algae, blue-green algae, and diatoms through algal microscopy, which takes a lot of time. Recently, the analysis of algae concentration through Phycocyanin, an alternative indicator for the number of harmful algae cells, has been conducted through remote sensing. However, research on the analysis of the number of blue-green algae cells is currently insufficient. In this study, we water samples for algal analyses were collected from river and counted the number of blue-green algae cells using algae microscopy. We also obtained the Phycocyanin concentration using an optical sensor and acquired algae spectra through a hyperspectral sensor. Based on this, we calculated the equation for estimating blue-green algae cell counts and estimated the number of blue-green algae cells.

국내 이상기후현상과 기후변화로 인해 하천, 호소에 조류의 과대성장이 빈번히 발생하고 있다. 하천의 조류는 녹조류, 남조류, 규조류, 기타조류 등으로 분류되며, 남조류 중 일부 종은 악취 유발과 독성물질의 배출로 문제를 야기하고 있다. 국내에서는 조류경보제를 시행하고 있으며, 이는 유해남조류세포수에 따라 발령이 된다. 이렇듯 유해남조류 측정은 매우 중요하며, 현재 조류의 분석방법은 현장샘플을 하여 조류검경을 통해 녹조류, 남조류, 규조류 중 유해남조류를 구분하여 세포수를 산정하기 때문에 시간이 많이 소요된다. 최근 원격탐사를 통해 남조류세포수의 대체 인자(지표)인 Phycocyanin을 통해 조류농도를 분석하고 있으나, 남조류세포수 분석에 대한 연구는 미비한 실정이다. 본 연구에서는 실제 하천에서 발생한 조류를 채취하여 조류검경을 통해 남조류세포수를 검경하였으며, 광학센서로 Phycocyanin농도, 초분광센서를 통해 조류스펙트럼을 취득하고, 이를 통해 남조류세포수 추정식을 산정하여 남조류세포수를 추정하였다.

Keywords

Acknowledgement

본 연구는 환경부 국토교통과학기술진흥원의 지원으로 수행되었습니다(과제번호22DPIW-C153746-04). 이에 감사드립니다.

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