• Korean Journal of Environmental Agriculture
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• v.38 no.4
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• pp.338-351
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• 2019

BACKGROUND: To investigate distribution and seasonal variation of concentration and flux of pesticides in Han river basin, water samples were examined at 24 sites in 2012 and 2014. METHODS AND RESULTS: Water samples were collected four times per year and subjected to liquid-liquid partition extraction followed by GC-ECD/NPD analysis. Of fifteen pesticides detected, iprobenfos, diazinon, isoprothiolane, endosulfan sulfate and oxadiazon were detected in a higher frequency, while fenoxanil, carbofuran, fenitrothion, butachlor and metolachlor were only detected in a sample. Pesticides with high occurrences, iprobenfos, diazinon, isoprothiolane, endosulfan sulfate and oxadiazon were detected in residue level of 0.01-0.46, 0.01-0.24, 0.03-0.85, 0.02-0.06 and 0.05-0.24 ㎍/L, respectively. Carbofuran and acetanilide herbicides were found at lower frequencies, but their concentrations were one order of magnitude higher than those of the others. CONCLUSION: Discharge of pesticides in downstream area were mainly contributed from rice farming and suburban horticulture, while pesticide occurrences in upstream area, such as Donggang river basin were caused by highland agriculture for cabbage and potato production. Despite the influx of pesticides from tributaries through intensive agriculture areas, pesticide concentration in the main stream water was low due to the dilution effect from the upstream. Therefore, the water quality was considered to be good at the most downstream, the effluent of Paldang dam.

• Journal of Korean Society of Environmental Engineers
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• v.33 no.7
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• pp.501-510
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• 2011

In this study, water pollution sources of 14 major tributaries of Han river and characteristics of water quality for each target streams were evaluated based on water quality data in 2007.1-2009.12 (14 data sets) using a statistical package, SPSS-17.0. Cluster analysis over time and space for each stream resulted in 4 groups for the spatial variations in which type and density of pollution sources in the basins showed the greatest impact on grouping. Moreover, cluster analysis for the time variation in which rainfall, temperature and eutrophication were shown to contribute to the clustering, produced 2 groups, from summer to fall (July-Oct.) and from winter to early summer (Nov.-June). Four factors were found as responsible for the data structure explaining 71-90% of the total variance of the data set depending on the streams and they were organic matter, nutrients, bacterial contamination. Factor analysis showed main factors (water pollutants) changed according to the season with different pattern for each stream. This study demonstrated that water quality of each stream could produce useful outcomes when factor and pollution source of basin were evaluated together.

• Korean Journal of Microbiology
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• v.35 no.1
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• pp.41-46
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• 1999

In detecting pathogeuic viruses in water sample, polymerase-chain-reaction (PCR) amplification was uscd. In order lo obtain the intact viral particlc, five concentration techniques were compared and an improved procedure was developed with some modifications. Among them, adsorption-elution~EG precipitation and flocculatio~~iultracentriEugation were more efficient than others with thc detection limit of 10 PFU $ml^{-1}$. By the additional step removing inhibitory compounds for PCR reaction, the purity of the concentrated sample was improved and the detection limit was lowered by one order (to 1 PFU $ml^{-1}$. To examine the availability of the optimized procedure for field surveys, the distributions of enterovirus in Han River were estimated using the novel procedure. Seventy-five percentage (618) of sewagc samples and twenty percentage (2110) of river water samples were positive for enterovirus. These results indicate that adsorption-elutionPEG precipitation by PCR method is useful for the prompt and handy monitoring of viral contaminaiton in water environment and pathogenic viruses are widely distributed in water environments of Seoul.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.400-400
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• 2011

영산강 유역은 한강, 낙동강, 금강과 더불어 우리나라 4대강 유역 중의 하나로 전라 남 북도에 걸쳐 위치하고 있어 우리나라 남서부의 수자원 공급 및 용수이용의 큰 비중을 차지하고 있다. 유역 특성상 나주평야와 같이 하천을 따라 평야가 발달되어 곡창지대를 이루고 있으며, 타 유역에 비하여 농경지의 비율이 높기 때문에 용수 이용에 있어 농업용수가 큰 비중을 차지한다. 따라서 영산 본류 및 지천 상류에는 농업용수의 안정적인 공급을 목적으로 제 1단계 영산강수계 대단위 농업종합개발사업에 의하여 4개의 농업전용 댐(장성댐, 나주댐, 담양댐, 광주댐)이 건설되었다. 이들 댐은 농업전용 댐으로 건설되었으나 댐의 규모와 저수 용량을 기준으로 장성댐, 나주댐, 담양댐은 대규모, 광주댐은 중규모의 댐에 속하기 때문에 농업용수의 안정적인 공급뿐만 아니라 시 공간적으로 유역 전체의 유출 변화에 영향을 미칠 것으로 판단된다. 따라서 본 연구에서는 유역모형인 SWAT-K 모형을 이용하여 영산강 유역의 댐 운영이 유역 유출 변화에 미치는 영향을 분석하고자 한다. 장기간의 유출 분석을 바탕으로 모형의 댐 모의기작에 의하여 댐 모의를 제한하여 유역 내에 댐이 없는 상태를 가상으로 모의하여 유역의 자연유량을 산정하고, 이에 따른 유역의 전체 유출 변화에 댐이 미치는 영향을 시 공간적으로 분석하여 유역의 효율적인 수자원 관리에 도움이 되고자 한다.

• Journal of Environmental Impact Assessment
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• v.26 no.6
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• pp.418-430
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• 2017

The quality of surface water is a very important issue to use various demands like as drinking water, industrial, agricultural and recreational usages. There has been an increasing demand for monitoring water quality of many rivers by regular measurements of various water quality variables. However precise and effective monitoring is not enough, if the acquired dataset is not analyzed thoroughly. Therefore, the aim of this study was to estimate differences of seasonal and regional water quality using multivariate data analysis for each investing tributaries in Han River. Statistical analysis was applied to the data concerning 11 mainly parameters (flow, water temperature, pH, EC, DO, BOD, COD, SS, TN, TP and TOC) for the time period 2012~2016 from 12 sampling sites. The seasonal water quality variations showed that each of BOD, TN, TP and TOC average concentration in spring and winter was higher than that of summer and fall, respectively. In summer each flow rate and average concentration of SS was higher than any other seasons, respectively. The correlation analysis were explained that EC had a strong relationship with BOD (r=0.857), COD (r=0.854), TN (r=0.899) and TOC (r=0.910). According to principal component analysis, five principal components (Eigenvalue > 1) are controlled 98.0% of variations in water quality. The first component included TP, DO, pH. The second component included EC, TN. The third component included SS. The fourth component included flow. The last component included Temp. Cluster analysis classified that spring is similar to fall and winter with water quality parameters. AnyA, WangsA, JungrA and TancA were identified as affected by organic pollution. Cluster analysis derived seasonal differences with investigating sites and better explained the principal component analysis results.

• Journal of the Korean Society of Groundwater Environment
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• v.4 no.3
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• pp.130-143
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• 1997

To investigate geochemical characteristics and the sources of the dissolved ion species in the river water in the Han river drainage basin, samples were collected at 60 sites from the Han river drainage basin. The data for. pH, conductivity, TDS (total dissolved solid), temperature, and concentrations of dissloved ions were obtained as follows : (1) The geochemical characteristics of the surface water in the South and North Han river drainage basins are mainly controlled by bed rock geology in the drainage basin and in the main stream of the Han river considerably affected by anthropogenic pollution. The South Han river water samples have high concentrations of $Ca^{2＋}$ (ave. 15.42 ppm), $Mg^{2＋}$ (ave. 2.74 ppm), HC $O_3$$^{[-10]}$ (ave. 51.9 ppm), which evidently indicates that the bed rock geology in a limestone area mainly controls the surface water chemistry. The concentration of S $O_4$$^{2-}$ is remarkably high (SHR10-2 : 129.9 ppm) because of acid mine drainage from the metal and coal mines in the upper reaches of the South Han river. (2) The South Han river and the North Han river join the Han river. in the Yangsuri, Kyounggido and flow through Seoul metropolitan city. The mixing ratio is about 60:40 at the meeting point (sample number HRl0). (3) The result of factor analysis suggests that the pollution factor accounts for about 79% and the bed rock type factor accounts for about 7% of the data variation. This means that the geochemical characteristics of the Han river water mainly controlled by anthropogenic pollution in the South Han river and main stream of the Han river drainage basin. (4) The chemical data for four tributaries such as the Wangsukcheon, the Tancheon, the Zunuangcheon, and the Anyangcheon show that the concentration of pollution elements such as N $O_2$, C $l^{－}$, P $O_4$$^{3-}$, S $O_4$$^{2-}$ and Mn are high due to municipal waste disposal.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.438-438
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• 2021

우리나라의 수질오염총량관리제도는 수계 내 모든 유역을 관리대상으로 동일 기준유량 조건에 동일한 대상물질로 관리하고 있지만, 본류는 지류의 영향을 받고 있으며 지류는 사람이 거주하는 지역 인근에 있어 본류 수질에 직접적인 영향을 미치고 있다. 이는 지류의 시급한 개선이 필요한 오염물질의 실질적인 관리가 어려워 이를 개선하기 위해 오염도가 높은 지류의 총량관리를 위한 지류총량제도의 추가 도입이 필요한 실정이다. 본 연구에서는 지류총량제 시행에 따른 효과를 예측하기 위해 팔당수계 유역을 소유역 단위로 분할하고 HSPF 모형을 적용하여 팔당수계 소유역 지류에서의 수질 변화 양상이 본류에 미치는 영향을 분석하였다. 연구대상지역은 팔당수계 중권역 유역(남한강 하류 유역, 경안천 유역, 북한강 하류 유역)으로 구분하고 유역 유출 및 수질 모델링은 지류하천을 포함하는 57개 소유역을 대상으로 수행하였다. 입력자료는 공간자료(표고, 경사, 토지이용, 토양도 등)와 기상자료(춘천, 양평, 이천, 수원관측소)는 2008년~2018년의 강수량, 최고기온, 최저기온, 평균풍속, 평균습도 등의 시단위 자료를 사용하였다. 모의결과, BOD는 남한강 하류유역의 주요 지천 유역인 복하천, 양화천, 청미천 및 흑천 유역에서 0.54~0.56mg/L의 범위로 주변 유역보다 높게 나타났으며, 경안천 유역은 경안천 유역의 중·하류 유역에서 2.63~4.22mg/L의 범위로 높게 나타났고, 북한강 유역은 조종천 하류 및 북한강 상류 유역에서 1.36~3.31mg/L의 범위로 주변 유역보다 높게 나타났다. T-P는 남한강 하류 유역은 주요 지천 유역인 복하천, 양화천, 청미천 유역에서 0.07~0.19mg/L의 범위로 주변 유역보다 높게 나타났고, 남한강 하류 유역의 중간 지점 유역인 한강(E1, E2, E4, E6)에서 높게 나타났다. 경안천 유역은 중·하류 유역의 좌안측 유역인 경안(A4, A3, B2, B1, F9)에서 0.1~0.14mg/L의 범위로 높게 나타났으며, 북한강 유역은 전체 유역에서 0.06mg/L 이하로 남한강 하류 및 경안천 유역보다 전반적으로 낮게 나타났다. 이와 같이 지류총량관리에 HSPF 모형의 적용은 가능하였으나 HSPF 모형을 이용한 소유역 단위의 유량 및 수질 예측을 위해서는 기존의 유량 및 수질 관측망을 소유역 단위로 좀 더 정밀하게 계획하는 것이 필요하다고 판단된다.

• Korean Journal of Ecology and Environment
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• v.45 no.4
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• pp.378-391
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• 2012

The objective of this study was to determine temporal patterns and longitudinal gradients of water chemistry at eight artificial reservoirs and ten streams within the Han-River watershed along the main axis of the headwaters to the downstreams during 2009~2010. Also, we evaluated chemical relations and their variations among major trophic variables such as total nitrogen (TN), total phosphorus (TP), and chlorophyll-a (CHL-a) and determined intense summer monsoon and annual precipitation effects on algal growth using empirical regression model. Stream water quality of TN, TP, and other parameters degradated toward the downstreams, and especially was largely impacted by point-sources of wastewater disposal plants near Jungrang Stream. In contrast, summer river runoff and rainwater improved the stream water quality of TP, TN, and ionic contents, measured as conductivity (EC) in the downstream reach. Empirical linear regression models of log-transformed CHL-a against log-transformed TN, TP, and TN : TP mass ratios in five reservoirs indicated that the variation of TP accounted 33.8% ($R^2$=0.338, p<0.001, slope=0.710) in the variation of CHL and the variation of TN accounted only 21.4% ($R^2$=0.214, p<0.001) in the CHL-a. Overall, our study suggests that, primary productions, estimated as CHL-a, were more determined by ambient phosphorus loading rather than nitrogen in the lentic systems of artificial reservoirs, and the stream water quality as lotic ecosystems were more influenced by a point-source locations of tributary streams and intense seasonal rainfall rather than a presence of artificial dam reservoirs along the main axis of the watershed.

• Journal of Korean Society of Environmental Engineers
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• v.29 no.8
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• pp.904-908
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• 2007

The protozoan pathogen Giardia lamblia has been major cause of waterborne enteric disease. In this study, we tried to identify G. lamlbia of human infectious species and to detect viable C. lamblia in river water samples including three sites of Han River mainstream and an its creek using PCR and RT-PCR technique. The PCR/RT-PCR methods were performed by using giardin primer based on the giardin gene targeting ventral disk of Giardia. Sensitivity testing in the DNA/RNA extraction and PCR/RT-PCR amplification steps showed that it was possible to detect a single cyst of G. lamblia and viable G. lamblia. The PCR/RT-PCR methods were compared with immunofluorescence(IF) assay by analyzing 48 samples collected from the mainstream water and the creek water. The mean concentration of the total cysts were 6.3 cysts/10 L(arithmetic mean, n = 48) and the positive detection rate were 62.5%(30/48). And the mean concentration of the cysts excluding empty cysts were 4.5 cysts/10 L and the positive detection rate were 52.1%(25/48). It resulted that 24 of 48 samples included Giardia lamblia by PCR assay and 10 of 48 samples included viable G. lamblia by RT-PCR assay. It resulted that the PCR/RT-PCR technique would be available to river water samples with low concentration of Giardia cysts. And it could support the Korean protozoan standard method, which provides useful information for species and viability.

• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.597-601
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• 2009

우리나라 하천의 중류나 상류는 대부분 산지로 되어 있어서 하천경사가 급하고 하상재료가 크며 지질 및 지형적인 영향을 받아 구속사행이 발달 되어 있는 산지하천이다. 산지하천은 홍수 시 만곡수충부 외측에서 홍수위 상승에 따른 범람과 유속 및 소류력에 의한 하상세굴이 발생한다. 특히 강원도는 산지하천을 따라서 도로가 발달되어 있기 때문에 하천피해는 도로피해와 직결되는 경우가 많다. 산지하천 수충부의 홍수피해를 줄이기 위해서는 호우에 따른 하천의 홍수위 및 하상 변동에 대한 자료가 필요하나 산지하천 특성을 고려한 관련 연구가 미흡한 실정이다. 본 연구에서는 산지하천 발달특성을 평가하기 위한 기초연구로서 유역의 면적-고도곡선을 평가하고자 한다. 산지하천은 하상을 구성하는 재료가 모래에서부터 전석에 이르기까지 그 크기가 매우 다양하게 분포되어 있어 일반 모래와 자갈이 주를 이루는 평지하천과 현저히 다르다. 하천유역의 면적-고도곡선은 유역의 지질 발달상을 판단하거나 홍수효과 또는 지형의 침식과 퇴적 등을 분석하는데 유효한 방법이다. 강원도 영동지역과 영서지역을 발원지로 하는 하천의 면적과 고도관계를 조사하였으며 이를 위하여 영서지역은 제1차 하천인 한강과 그 주요 지류 21개 하천, 영동지역은 제1차 하천 6개와 그 지류 3개 하천을 선정하고 무차원 면적-고도곡선을 작성하여 유역의 발달단계를 분석하기 위한 면적고도 발달계수를 정의하였다. 골지천을 제외한 모든 조사대상 하천에서 최대표고의 70%이상인 지역이 전체 유역면적의 10%미만을 차지하여 우리나라 하천유역이 상류의 경우 전형적인 장년기에서 노년기 지형으로 발달한 것으로 확인할 수 있었다. 그러나 유역의 하류지역은 이미 유년기적인 특성을 보이고 있는 것으로 판단된다. 또한 영동 보다는 영서지역 하천이 하류에서 유년기적 특성이 다소 크고 상류는 장년기가 많은 것으로 분석되었다.