Algal blooming in 4 major rivers introduces substantial impacts to water front activity. Concentrations of algae are increasing at major points along the Geum River. Ecosystem food webs can be affected by algal blooming because blue-green algae release toxic materials. Even though there have been many studies on blue-green algae, its causality to environmental factors has not been completely determined yet. This study analyzed the exclusive correlation between various hydrometeorological, water quality, and hydrologic variables and the cell number of cyanobacteria to understand causality of blue-green algae in the Geum River. A prewhitening process was introduced to remove the autocorrelation structure and periodicity, which is useful to evaluate the effective relationship between two time series.

Abstract
 1. 서 론
  1.1. 연구의 목적 및 배경
 2. 재료 및 방법
  2.1. 연구 대상 지역
  2.2. 방법론
 3. 모의 과정 결과
  3.1. 기본 통계 분석
  3.2. 비정상 시계열의 정상화
  3.3. 모형의 식별
  3.4. 모형의 검진
 4. 결 과
  4.1. 금강 수계 내 동시적 배타적 상관성 분석 결과
  4.2. 금강 수계 내 음의 시차 배타적 상관성 분석 결과
  4.3. 금강 수계 내 양의 시차 배타적 상관성 분석 결과
 5. 결 론
 REFERENCES

• 김연화(부산대학교 환경공학과, Water Resource Environmental Lab, Pusan National University) | Yeonhwa Kim
• 이은형(부산대학교 환경공학과, Water Resource Environmental Lab, Pusan National University) | EunHyung Lee
• 김경현(국립환경과학원 수질통합관리센터, National Institute of Environmental Research, Water Quality Control Center) | Kyunghyun Kim
• 김상현(부산대학교 환경공학과, Water Resource Environmental Lab, Pusan National University) | Sanghyun Kim Corresponding author