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영산강수계 소하천 유역의 토지이용이 하천수질에 미치는 영향 분석
정재운 ( Jae Woon Jung ),임병진 ( Byung Jin Lim ),조소현 ( So Hyun Cho ),최진희 ( Jin Hee Choi ),송광덕 ( Kwang Duck Song ),하돈우 ( Don Woo Ha ),김해성 ( Hae Sung Kim ),박승호 ( Seung Ho Park ),황태희 ( Tae Hee Hwang ),정수정 ( S 한국하천호수학회(구 한국육수학회) 2012 생태와 환경 Vol.45 No.4
This study assessed the impacts of land use types on water quality in the tributary of the Yeongsan river basin. Temporal changes in water quality parameters (BOD, COD, TOC, T-P, T-N, SS) were investigated. 13 water sampling sites were selected; they were then collected and analyzed according to the standard method. The results showed that water quality parameters of the study sites ranged as follows : BOD, from 0.3 to 21.9 mg L--1 (mean 3.3 mg L--1); COD, from 1.0 to 38.0 mg L--1 (6.4 mg L--1); TOC, from 0.6 to 20.0 mg L--1 (4.5 mg L--1); T-P, from 0.009 to 1.973 mg L--1 (0.144 mg L--1); T-N, from 0.6 to 17.1 mg L--1 (mean 3.5 mg L--1); SS, from 0.3 to 292.0 mg L--1 (20.3 mg L--1). Generally, the paddy and upland dominated region had high concentrations of water quality parameters, whereas the forest dominated region had low concentrations. In addition, water quality parameters were positively correlated with paddy and upland, whereas the parameters were negatively correlated with forest. The result implies that paddy and upland are the dominant factors leading to stream pollution in the study sites, while a higher percentage of forest area contributes to improved water quality. Therefore, it is important to manage paddy and upland in order achieve efficient management of water quality.
하천수내 TOC 농도 추정을 위한 단순회귀모형과 다중회귀모형의 개발과 평가
정재운 ( Jae Woon Jung ),조소현 ( So Hyun Cho ),최진희 ( Jin Hee Choi ),김갑순 ( Kapsoon Kim ),정수정 ( Soo Jung Jung ) 한국물환경학회 2013 한국물환경학회지 Vol.29 No.5
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.
영농기간동안 논 유출수 BOD, COD 자료를 이용한 TOC 농도 추정
최동호 ( Dong Ho Choi ),정재운 ( Jae Woon Jung ),윤광식 ( Kwang Sik Yoon ),이경숙 ( Kyoung Sook Lee ),최우정 ( Woo Jung Choi ),임상선 ( Sang Sun Lim ),박하나 ( Ha Na Park ),임병진 ( Byung Jin Yim ),황태희 ( Tae Hee Hwang ) 한국물환경학회 2012 한국물환경학회지 Vol.28 No.6
BOD and COD are currently used for water quality indices, but adoption of TOC for TMDL (Total Maximum Daily Load) is being suggested. Estimation of TOC using existing BOD and COD data is very important to diagnosis water quality trend when TOC is used for water quality index of organic matter in the future. The relationships between BOD COD and TOC in runoff from paddy fields were investigated during 2008-2011. The observed mean concentration of EMCs (Event Mean Concentration) for BOD, COD, TOC were 3.87, 10.97, 7.26 mg/L respectively. The correlation coefficients between BOD-TOC and COD-TOC were 0.42, 0.73, respectively. The coefficient of determination of regression equation for BOD-TOC and COD-TOC were 0.18, 0.53 respectively. Even though, conversion of COD data to TOC seems to be rather reliable than that of BOD-TOC, further monitoring is recommended to ensure better interpretation of relationship among BOD, COD and TOC.