| Title |
Development and Evaluation of Simple Regression Model and Multiple Regression Model for TOC Contentation Estimation in Stream Flow |
| Authors |
정재운 ( Jae Woon Jung ) ; 조소현 ( So Hyun Cho ) ; 최진희 ( Jin Hee Choi ) ; 김갑순 ( Kapsoon Kim ) ; 정수정 ( Soo Jung Jung ) |
| Keywords |
BOD; COD; Simple and multiple regression model; TOC |
| Abstract |
The objective of this study is to develop and evaluate simple and multiple regression models for Total Organic Carbon (TOC) concentration estimation in stream flow. For development (using water quality data in 2012) and evaluation (using water quality data in 2011) of regression models, we used water quality data from downstream of Yeongsan river basin during 2011 and 2012, and correlation analysis between TOC and water quality parameters was conducted. The concentrations of TOC were positively correlated with Chemical Oxygen Demand (COD), Biochemical Oxygen Demand (BOD), TN (Total Nitrogen), Water Temperature (WT) and Electric Conductivity (EC). From these results, simple and multiple regression models for TOC estimation were developed as follows : TOC=0.5809×BOD+3.1557, TOC=0.4365×COD+1.3731. As a result of the application evaluation of the developed regression models, the multiple regression model was found to estimate TOC better than simple regression models. |