• 한국환경농학회지
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• 제31권2호
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• pp.200-204
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• 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.

• 환경영향평가
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• 제23권1호
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• pp.19-27
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• 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.

• 한국지역지리학회지
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• 제11권1호
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• pp.40-53
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• 2005

영산강은 내륙수로로서 중요한 기능을 수행하였으나, 1981년 영산강하구둑 축조 이후에 주운기능이 소멸되었다. 그 이후에 영산강 하류지역을 중심으로 주운복원과 활용방안에 대한 주장이 제기되어 지금까지 지속되고 있으나, 이러한 논의들이 영산강의 지형적, 수문학적인 특성에 충분히 기초하지 못하고 있다. 영산강 주운복원 및 활용은 과학적인 타당성을 기초로 추진되어야 하는데, 영산강의 특성을 고려할 경우, 주운복원은 구진포에서 영산강하구둑까지 수심이 얕은 일부 구간의 저수로를 준설하여 환경탐사, 생태관광을 목적으로 하는 소형 선박을 운항하는 방안이 바람직하다. 영산강 주운복원 및 활용방안을 모색하기 위해서는 자치단체, 유관기관, 전문가, 민간단체 등이 거버넌스에 입각하여 참여와 협력 체계를 구축하는 것이 필요하다.

• 생태와환경
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• 제45권4호
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• pp.368-377
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• 2012

본 연구는 영산강수계 수질 특성을 파악하기 위하여 2001~2010년까지 영산강 본류 10개 지점의 수질측정자료를 활용하여 총 18개 수질항목에 대하여 다변량분석법을 이용하여 수질항목간의 상관관계 및 요인분석, 군집분석을 수행하였다. 수질항목간 상관성은 BOD는 T-N, T-P와 높은 양의 상관성을, Chl-a는 COD와 유의한 양의 상관성을 보였다. 요인분석 결과 제1요인이 영양염류요인(32.021%), 제2요인이 유기물 및 조류증식에 따른 물질대사 요인(17.453%), 제3요인이 계절적 변동요인(14.775%), 제4요인이 미생물요인(10.951%)으로 추출되었다. 요인분석 결과로부터 추출된 제1요인과 제2요인에 대한 군집 분석 결과, 오염도가 낮은 그룹, 광주천 및 하수처리수 방류의 영향이 큰 오염도가 높은 그룹, 축산농가 및 농경지 등이 인근에 분포하는 그룹 등 3 그룹으로 분류되었다.

• 한국물환경학회지
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• 제29권5호
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• pp.625-629
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• 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.

• 한국도시환경학회지
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• 제18권4호
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• pp.455-463
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• 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.

• 한국지형학회지
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• 제23권3호
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• pp.57-66
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• 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.

• 한국물환경학회지
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• 제35권6호
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• pp.510-519
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• 2019

The 'Stable Isotope Analysis in R' (SIAR), one of the Bayesian mixing models for stable isotopes, has been proven to be useful for source apportionment of nitrates in rivers. In this study, the contribution ratios of nitrate sources were quantified by using the SIAR based on nitrogen and oxygen stable isotope measurements in the Yeongsan River. From the measurements, it was found that the values of δ¹⁵N-NO₃ and δ¹⁸O-NO₃ ranged from -8.2 ‰ to +13.4 ‰ and from +2.2 ‰ to +9.8 ‰, respectively. We further analyzed the contribution ratios of the five nitrate sources by using the SIAR. From the modeling results, the main nitrate source was found to be soil N (29.3 %), followed by sewage (26.7 %), manure (19.6 %), chemical fertilizer (17.9 %) and precipitation (6.3 %). From the results, it was found that the anthropogenic sources, i.e., sewage, manure and chemical fertilizer contribute 64.2% of the total nitrate inflow from the watershed. Due to the significant correlation of δ¹⁵N-NO₃ and lnNO₃^- in this study, the fractionation factors reflecting the biogeochemical processes of stable isotope ratios could be directly obtained. This may make the contribution ratios obtained in this study more precise. The fractionation factors were identified as +3.64 ± 0.91 ‰ for δ¹⁵N-NO₃ (p<0.01) and -5.67 ± 1.73 ‰ for δ¹⁸O-NO₃(p<0.01), respectively, and were applied in using the SIAR. The study showed that the stable isotope method using the SIAR could be applied to quantitatively calculate the contribution ratios of nitrate sources in the Yeongsan River.

• 환경영향평가
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• 제12권4호
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• pp.259-270
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• 2003

To investigate the water quality and the pollution state of lower Yeongsan river system, 38 water samples were taken from the main stream of the Yeongsan river, Gomakwon and Hampyeong streams of the system in dry and flood seasons, May and August, 2001. The Yeongsan river is typically natural in accordance with pH-& diagram. But the chemistry based on Piper's diagram indicates that the river is influenced by seawater. BOD increases as the sampling sites are approaching the downstream in Gomakwon and Hampyeong streams overwhelming WQS V grade of 12.40mg/l. T-N and T-P of the river are mainly loaded not in above branch streams but in the main stream of the river, which are caused by manure for farming, domestic animal discharges and life-sewage, in possible. Meanwhile, heavy metal contents are below WQS or not detect in whole water samples. So, it shows that the above river waters be polluted by not industrial but life/agricultural foul waters.

• 한국물환경학회지
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• 제29권4호
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• pp.504-513
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• 2013

Water quality trends for major tributaries (66 sites) in the Yeongsan River basin of Korea were examined for 12 parameters based on water quality data collected every month over a period of 12 months. The complex data matrix was treated with multivariate analysis such as PCA, FA and CA. PCA/FA identified four factors, which are responsible for the structure explaining 78.2% of the total variance. The first factor accounting 27.3% of the total variance was correlated with BOD, TN, TP, and TOC, and weighting values were allowed to these parameters for grade classification. CA rendered a dendrogram, where monitoring sites were grouped into 5 clusters. Cluster 2 corresponds to high pollution from domestic wastewater, wastewater treatment and run-off from livestock farms. For grade classification of tributaries, scores to 10 indexes were calculated considering the weighting values to 3 parameters as BOD, TN and TP which were categorized as the first factor after FA. The highest-polluted group included 10 tributaries such as Gwangjucheon, Jangsucheon, Daejeoncheon, Gamjungcheon, Yeongsancheon. The results indicate that grade classification method suggested in this study is useful in reliable classification of tributaries in the study area.