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J Korean Soc Environ Eng > Volume 37(5); 2015 > Article
J Korean Soc Environ Eng 2015;37(5): 253-261. doi: https://doi.org/10.4491/KSEE.2015.37.5.253
다중회귀분석을 이용한 낙동강 하류의 Chlorophyll-a 농도와 복합 영향인자들의 상관관계 분석
임지성1, 김영우1, 이재호1, 박태주1, 변임규2
1부산대학교 사회환경시스템공학부
2부산대학교 환경기술・산업개발연구소
Evaluation of Correlation between Chlorophyll-a and Multiple Parameters by Multiple Linear Regression Analysis
Ji-Sung Lim1, Young-Woo Kim1, Jae-Ho Lee1, Tae-Joo Park1, Im-Gyu Byun2
1Department of Civil and Environmental Engineering, Pusan National University
2Institute for Environmental Technology and Industry, Pusan National University
Corresponding author  Im-Gyu Byun ,Tel: 051-510-7381, Fax: 051-581-5035, Email: big815@pusan.ac.kr
Received: March 23, 2015;  Revised: April 23, 2015;  Accepted: May 11, 2015.  Published online: May 31, 2015.
ABSTRACT
In this study, Chlorophyll-a (chl-a) prediction model and multiple parameters affecting algae occurrence in Mulgeum site were evaluated by statistical analysis using water quality, hydraulic and climate data at Mulgeum site (1998~2008). Before the analysis, control chart method and effect period of typhoon were adopted for improving reliability of the data. After data preprocessing step two methods were used in this study. In method 1, chl-a prediction model was developed using preprocessed data. Another model was developed by Method 2 using significant parameters affecting chl-a after data preprocessing step. As a result of correlation analysis, water temperature, pH, DO, BOD, COD, T-N, NO3-N, PO4-P, flow rate, flow velocity and water depth were revealed as significant multiple parameters affecting chl-a concentration. Chl-a prediction model from Method 1 and 2 showed high R2 value with 0.799 and 0.790 respectively. Validation for each prediction model was conducted with the data from 2009 to 2010. Training period and validation period of Method 1 showed 20.912 and 24.423 respectively. And Method 2 showed 21.422 and 26.277 in each period. Especially BOD, DO and PO4-P played important role in both model. So it is considered that analysis of algae occurrence at Mulgeum site need to focus on BOD, DO and PO4-P.
Key Words: Nakdong River, Chl-a, Multiple parameters, Data Preprocessing, Multivariate Statistics
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