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Input output transfer function model development for a prediction of cyanobacteria cell number in Youngsan River

영산강 수계에서 남조류 세포수 모의를 위한 입출력 모형의 개발

  • Lee, Eunhyung (Dept. Environmental Engineering, Pusan National University) ;
  • Kim, Kyunghyun (Water Environment Research Department, Water Quality Control Center, National Institute of Environmental Research, Ministry of Environment) ;
  • Kim, Sanghyun (Dept. Environmental Engineering, Pusan National University)
  • 이은형 (부산대학교 환경공학과) ;
  • 김경현 (국립환경과학원 수질통합관리센터) ;
  • 김상현 (부산대학교 환경공학과)
  • Received : 2016.02.02
  • Accepted : 2016.08.18
  • Published : 2016.09.30

Abstract

Frequent algal blooms at major river systems in Korea have been serious social and environmental problems. Especially, the appearance of cyanobacteria with toxic materials is a threat to secure a safe drinking water. In order to model the behaviour of cyanobacteria cell number, an exclusive causality analysis using prewhitening technique was introduced to delineate effective parameters to predict the cell numbers of cyanobacteria in Seungchon Weir and Juksan Weir along Youngsan river system. Both input and output transfer function models were obtained to explain temporal variation of cyanobacteria cell number. A threshold behaviour of water temperature was implemented into the model development to consider winter characteristic of cyanobacteria. The implementation of water temperature threshold into the model structure improves the predictability in simulation. Even though the input output transfer model cannot completely explained all blooms of cyanobacteria, the simple structure of model provide a feasibility in application which can be important in practical aspect.

Acknowledgement

Grant : BK21플러스

Supported by : 부산대학교

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