• 한국환경농학회지
• /
• 제31권2호
• /
• pp.200-204
• /
• 2012

BACKGROUND: Recently, the project for improvement of water quality and preservation of the Yeongsan and Seomjin river basin was actively promoted. However, the publicity for many results of the project is not actively done, thus they are rarely used. Furthermore, there are not sufficient information about the projects preformed by other research institutions. Therefore, the watershed management system for efficient water management is needed in the Yeongsan and Seomjin river basin. CONCLUSION: Firstly, establishment of the Yeongsan and Seomjin river basin management research center, Secondly, construciton of wed-based water management research network. These results will serve as a basic data for efficient water management.

• 한국지형학회지
• /
• 제23권3호
• /
• pp.57-66
• /
• 2016

The objective of this study is to find out geomorphological characteristics of historical ruins where people produced and consumed large jar coffins excavated in the Yeongsan river basin using the map of old drainage network to restore distribution network. For this purpose, we chose the 21 consumption sites. The results are as follows. First of all, large jar coffins(relics, 47.6% of total) in the Yeongsan River basin were located in Sampo stream basin, almost all of them were located within the Yeongsan River main stream basin and Sampo stream basin. Also, distance from all consumption site to river was within about 2km. Therefore, it is thought that the all consumption sites are located at the place of the gift of nature that was very favorable to water transport of jar coffins. The results of this study may be used as basic data for research of cultural relics in the Yeongsan river basin.

• 환경영향평가
• /
• 제23권1호
• /
• pp.19-27
• /
• 2014

The purpose of this study is to provide a base line data to improve the water quality in the Yeongsan River basin. As the major factor that affects the water quality of Yeongsan River is nonpoint pollution source, in order to find a resolve to improve the quality, a study was conducted to identify the correlation between the stream water quality and that of the land use. The study showed that the concentration of the contents in the water from the agricultural land environment was found to be higher as oppose to that found in the content of the water from the forest land. As a result, it can be deducted that agricultural land deteriorates water quality whereas that of the forest land is of much better quality. Therefore, it is highly recommended to take advanced improved care of agricultural land close to a water source to improve the quality of Yeongsan River basin.

• 한국물환경학회지
• /
• 제30권2호
• /
• pp.184-198
• /
• 2014

For estimating discharge and pollution loads into the Yeongsan lake, a conceptual watershed model HSPF(Hydrological Simulation Program - Fortran) was applied to the Yeongsan River Basin. Various spatial data set including DEM, watershed boundaries and land uses were used to set up the model for the Yeongsan River Basin that was divided into 45 sub-basins. The model was calibrated and validated for the river discharges, SS, BOD, TN and TP concentrations against the data observed in 2011 at several monitoring stations. The simulation results show good agreement with the observed water flows($R^2$ = 0.46 - 0.97, NSE = 0.70 - 0.96). The simulated concentrations of SS, BOD, TN and TP are also in good agreement with the observed. The total freshwater discharge to the Yeongsan lake is estimated $2,406{\times}10^6m^3/year$ which the Jiseok and Hwangryoung stream contribute as much as 19%, 17% respectively. It is estimated that the total discharges to the Youngsan lake is SS 152,327 ton/year, BOD 15,721 ton/year, TN 10,071 ton/year, TP 563 ton/year. Both water and pollution loads are high in summer, particularly in July, when the monsoon season arrives at the Korean peninsula.

• 한국수자원학회논문집
• /
• 제53권1호
• /
• pp.57-70
• /
• 2020

본 연구는 SWAT(Soil and Water Assessment Tool)을 이용하여 섬진강유역과 영산강유역을 대상으로 유역간 물이동 모델링을 수행하였다. 먼저, 영산강과 섬진강유역에 대해 SWAT 모형을 구축하였고 저수지 운영 매개변수 WURESN(Water Use Reservoir Withdrawn)과 Inlet 기능을 이용하여 섬진강유역의 주암댐에서 영산강유역의 광주천으로의 물이동 모델링을 수행하였다. 섬진강유역의 주암댐과 영산강유역의 마륵 수위관측소의 2005년~2017년까지의 댐 방류량, 저수량 그리고 도수유량 자료를 이용하여 SWAT모형의 검보정을 하였다. 주암댐 검보정결과의 평균 RMSE, NSE, R²는 각각 2.22 mm/day, 0.62, 0.86로 나타났고 마륵 관측소는 각각 1.38 mm/day, 0.69, 0.84로 나타났다. 유역간 물이동에 의한 하류의 영향을 평가하기 위해, 영산강유역내 다기능보 2개(승촌보, 죽산보)와 섬진강유역의 곡성과 구례 수위관측소를 선택하여 검보정을 진행하였다. 승촌보, 죽산보, 곡성 및 구례 관측소의 검보정 결과에 대한 평균 RMSE, NSE, R²는 각각 1.49~2.49 mm/day, 0.45~0.76, 0.81~0.90로 분석되었다.

• 한국지역지리학회지
• /
• 제8권4호
• /
• pp.451-467
• /
• 2002

영산강은 남한의 주요 강에 속하며, 유역은 식량생산의 핵심지 중의 하나이다. 영산강유역에는 범람원과 구릉지가 널리 발달되어 있으며, 현재의 영산호 일대에는 간석지도 넓게 분포했었다. 범람원은 '들'로 불리우며, 골짜기가 중은 '물목'의 상류쪽에 넓게 펼쳐진다. 범람원은 조선 발까지는 거의 전부 논으로 재발되었다. 이 농경지를 배경으로 도회지들이 성장했다. 구릉지는 '등', '까끔', '야산' 등으로 불리우며, 나주시와 영암군에 넓게 분포한다. 구릉지의 농경지개발은 1960년대부터 시작되었으며 오늘날에도 진행되고 있다. 많은 개간지의 영농은 외지인들에 의한 임차농의 형태로 영위된다. 간석지 즉 '뻘밭'은 영산강 하류의 남해만에 넓게 펼쳐져 있었으며, 곳곳에 '개옹'으로 불리우던 갯골이 발달했었다. 간석지는 1981년에 영산강하구둑이 준공된 이후 대대적인 간척사업에 의해 농경지로 개발되어 '영산평야'로 바뀌었다. 새로운 평야의 등장으로 모든 취락이 순수 농촌으로 탈바꿈하였다.

• 환경영향평가
• /
• 제22권2호
• /
• pp.171-181
• /
• 2013

In this study, we report the water quality characteristics of pollutants for 4 major tributaries in the Yeongsan and Sumjin river basins using statistical analysis, such as regression equation and factor analysis. The flow rate and water qualtiy data collected from 4 sampling sites(Hwangryoung A, Jiseok A, Chooryeong A, Osu A) in the Yeonsan and Sumjin river basin during the past 3 years were analyzed for 11 parameters(flow rate, dissolved oxgen, pH, water temperature, electric conductivity, biochemical oxygen demand, chemical oxygen deman, total organic carbon, total nitorgen, total phosphorus, suspended solid). The results showed that the concentrations of BOD, COD, TOC, T-N, T-P in Hwangryoung A(HW) and Jiseok A(JS) of the Yeongsan river basin were decreased as the flow rate was increased. This means that rather than nonpoint soources, point sources affect water quality. In the cases of Chooryeong A(CR) and Osu A(OS) in the Sumjin river basin, howerever, nonpoint sources than point sources are an important factor that affects the water quality. Also, the factor analysis technique was employed to analyze principal component influencing on water quality. The results revealed that the first principal component in HW was correlated with EC, DO, T-N, water temperature. This "nitrogen influx according to seasonal pattern" factor may be interpreted. In JS, the first principal component was correlated with BOD, COD, TOC and is likely to represent "organic matter" processes. In CR and OS, BOD, COD, TOC, SS and T-P were significantly correlated and is considered as representing "Organic matter and adsorption of phosphorus on sediments influx". This study is expected to contribute to the effective pollution control/management of the surfac waters in the study sites.

• 한국물환경학회지
• /
• 제30권2호
• /
• pp.119-127
• /
• 2014

The objective of this study is to evaluate and analyze Sumjin River Basin water environment system. It was necessary to improve the water quality. The data were collected from 2010 January to 2012 December including Water Temperature, pH, DO, EC, $BOD_5$, COD, TOC, SS, T-N, T-P. The data were used to study were required to; Correlation Analysis; Principle Component Analysis; Factor Analysis. The results were as followed. According to correlation analysis on $BOD_5$ against COD, TOC it revealed that the each value of correlation coefficient were 0.715 and 0.719; this means the strength of the relationship is strong. The same analysis on T-P against $BOD_5$, COD, TOC, SS has revealed that the range of the correlation coefficient value fell between 0.482 and 0.608 which means strength of the relationship between them remained normal. Through correlation analysis, it has been found that all elements except T-N have high correlation. The results of principal component analysis to target the overall water quality was extracted to three main components. The cumulative contribution rate is 68.990%. In the case of seasonal water quality, Spring and Summer are extracted to each of four main components. The cumulative contribution rate is 81.515% and 73.550% respectively. Fall and Winter are extracted to each of three main components. The cumulative contribution rate is 65.072% and 72.721% respectively. There is no seasonality in the case of factor analysis. The first common factor is $BOD_5$, COD, TOC, SS, T-P, which were classified. Totally speaking, Sumjin River Basin water system gets highly affected by the nutrient salts, organic matter and suspended solid at the same time.

• 한국도시환경학회지
• /
• 제18권4호
• /
• pp.455-463
• /
• 2018

본 연구는 영산강 수계에 위치한 하천의 표층 퇴적물 중 유기물과 영양염류들의 농도 분포와 오염도를 평가하기 위하여 수행하였다. 표층 퇴적물 시료는 2015년부터 2016년까지 2년 동안 하천 중 본류 12개 및 지류 4개 지점으로부터 채취하여 입도와 유기물(Ignition Loss, COD, TOC) 및 영양염류(TN, TP, SRP)를 분석하여 평가하였다. 입도 분포는 상류와 하류로 구분하여 모래와 양질사토가 우세하였으나, 상류에 보가 설치된 MS3와 MS6 지점의 경우 각각 양질사토와 미사양토로 나타났다. 상관성 평가 결과, 유기물 항목들은 입도들과 강한 상관관계를 보인 반면 TN을 제외한 영양염류 항목들은 약하게 나타났다. 유기물 및 영양염류 농도의 분포 특성은 상류보다 하류 그리고 보가 설치된 지점들에서 높았고, 특히 MS3 지점의 TP 농도는 상반기보다 하반기에 높은 특성을 보였다. 국내외 오염기준과 비교 평가한 결과, 유기물 및 영양염류 항목들은 전 지점들에서 심각한 오염상태가 아닌 것으로 평가되었다.

• 한국물환경학회지
• /
• 제29권5호
• /
• pp.625-629
• /
• 2013

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 : $TOC=0.5809{\times}BOD+3.1557$, $TOC=0.4365{\times}COD+1.3731$. 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.