• 한국환경과학회지
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• 제25권12호
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• pp.1661-1671
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• 2016

Water quality in Nakdong river was analyzed using 699 monitoring data sets including flow rates and water quality concentrations collected at 195 tributary monitoring stations (the priority management areas: 35 stations, the non-priority management areas: 160 stations) in 2015. The highest average concentrations of all data for BOD, COD, T-N, T-P, SS, and TOC were 30~600 times higher than the lowest concentrations while the highest average loading rates were 800,000~2,700,000 times higher than the lowest loading rates. Because of the very large differences in the concentrations and loading rates, the variation of the concentrations and loading rates in a priority management monitoring station for BOD, T-P, and TOC was analyzed using the coefficient of variation, the ratio of the standard deviation value to the mean value. For BOD, T-P, and TOC, the coefficients of variation for concentration were mostly less than 100%, whereas the coefficients of variation for loading rate ranged from 31.1% to 232.2%. The very big difference in the loading rates was due to the large variation in flow rates. As a result of this, the estimation of water quality at each monitoring station using the average values of the concentrations and loading rates might be not rational in terms of their representativeness. In this study, new water quality analysis methods using all collected monitoring data were suggested and applied according to the water quality standard in medium-sized management areas.

• Advances in environmental research
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• 제7권2호
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• pp.87-107
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• 2018

Water quality monitoring network needs periodic evaluations based on environmental demands and financial constraints. We used a genetic algorithm to optimize the existing water quality monitoring stations on the Sefid-Rud River, which is located in the North of Iran. Our objective was to optimize the existing stations for drinking and irrigation purposes, separately. The technique includes two stages called data preparation and the optimization. On the data preparation stage, first the basin was divided into four sections and each section was consisted of some stations. Then, the score of each station was computed using the data provided by the water Research Institute of the Ministry of energy. After that, we applied a weighting method by providing questionnaires to ask the experts to define the significance of each parameter. In the next step, according to the scores, stations were prioritized cumulatively. Finally, the genetic algorithm was applied to identify the best combination. The results indicated that out of 21 existing monitoring stations, 14 stations should remain in the network for both irrigation and drinking purposes. The results also had a good compliance with the previous studies which used dynamic programming as the optimization technique.

• 한국농공학회논문집
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• 제47권3호
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• pp.77-86
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• 2005

A monitoring study has been conducted to identify hydrologic conditions, water quality and nutrient loading characteristics of small watershed in Juam Lake. Climate data of the watershed were collected; flow rate was measured and water quality sampling was conducted at the watershed outlet for this study. Water quality data revealed that T-P concentrations meet I grade of lake water quality standard during non-storm period, but degraded up to II-III grade of lake water quality standard during storm period. The observed T-N concentrations always exceeded lake water quality standard. Therefore, T-P was identified as limiting chemical constituent for eutrophication of Juam Lake. T-P concentration of non-storm period also revealed that point source pollution is not serious in the watershed. Three year monitoring results showed that the observed T-N losses were $10.85\~18.88$ kg/ha and T-P losses were $0.028\~0.323$ kg/ha during six month (Mar. - Oct.), respectively. Major portion of runoff amount discharged by a few storm events a year and nutrient load showed apparent seasonal variation. Huge runoff amounts were generated by intense storms, which make application of water treatment or detention facilities ineffective. Monitoring results confirmed that water quality improvement by abating nonpoint source pollution in rural watershed of monsoon climate should be focused on source control. T-P losses from paddy field seemed to consist of significant amount of total load from study watershed. Therefore, management of drainage from paddy field is considered to be important for preventing algal blooming problem in Juam Lake.

• 한국습지학회지
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• 제19권3호
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• pp.311-317
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• 2017

본 연구에서는 낙동강수계에서의 수질 모니터링 자료를 이용하여 수질지수를 산정하고 생활환경기준과 비교를 통해 수질상태를 검토하였다. 수질지수는 환경부에서 현재 시행되고 있는 실시간수질지수(RWQI) 방법인 CCME-WQI을 사용하였으며 수질항목은 pH, DO, EC, 수온, TOC, T-N, T-P에 대해 7개 평가항목으로 선정하였다. 평가기간은 최근 3년간(2013년~2015년)으로 선정하였으며 해당 기간 내 측정된 수질 모니터링 자료를 이용하였다. 평가결과, 전 기간 평가 결과는 지수와 생활환경기준이 비슷한 경향을 보이나 월별 평가는 지수와 BOD, T-P 결과가 다르게 나타났다. 따라서 효율적인 하천관리를 위해서는 단일 수질항목만의 평가보다 복합적인 평가가 보다 필요할 것으로 신뢰성이 있는 것으로 검토되었다.

• 한국습지학회지
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• 제24권4호
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• pp.256-267
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• 2022

본 연구는 대청호 상류에 있는 서화천 유역을 대상으로 지난 5년간 측정된 장기간의 수질모니터링 자료를 이용하여 수질 현황 및 추세를 분석하였다. 서화천 유역은 대청호의 녹조 발생 감소 및 수질 개선을 위한 사업이 진행되고 있으며 상수원 수질 관리를 위해서 지속적 관리가 필요하다. 현재 수질 평가는 수질 관리 지점을 파악하는 것이 목적이며 좋은물 등급과 통합수질지수(Water Quality Index, WQI)를 사용하였다. 추세 평가는 Mann-Kendall test와 Sen's Slope를 이용하여 수질 개선사업을 통한 효과를 평가하였다. 평가결과, 현재는 수질지수를 통해 수질 관리가 필요한 유역과 시기를 확인하였으며 추세분석을 통해 개선사업으로 인한 효과를 확인하였다. 본 연구를 통해 장기 수질모니터링 자료를 이용한 수질 현황 및 개선 효과를 검토할 수 있어 향후 비슷한 유형의 유역에서 적용 가능하리라 판단된다.

• 한국물환경학회지
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• 제32권2호
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• pp.163-172
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• 2016

This study aimed to develop a plan for effective performance of a watershed through correct identification of a river watershed by using the flowrate of the river and water quality data, which is the basis for the establishment of the water environment policy. The target river for water quality improvement was selected based on the monitoring result for 4 water systems in Chungcheongnamdo province in the recent 3 years. The result of analysis for the distribution of discharge capacity by a pollution source group for the water quality improvement target river showed that most of the target river has a high discharge capacity in the water system for living and livestock. Analysis for the density of the total discharge capacity of the whole watershed of Chungcheongnamdo indicated that the river that needs water quality improvement has high BOD concentration and high discharge load density at the point that this river is located. Thus, for efficient watershed management through selection and concentration, Chungcheongnamdo needs to improve the target river in priority. Stepwise planning is also required to establish and execute the water quality improvement in order to satisfy said target water quality, and establish the index for the water improvement rate for its evaluation.

• 한국물환경학회지
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• 제26권5호
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• pp.860-870
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• 2010

Long term monthly monitoring data showed that the water quality of streams flowing into Lake Paldang has been improved by various strategy for water. However, the effect of quality on Lake Paldang is still insufficient because of nonpoint source from watershed. In order to evaluate quantifying methods for pollution source and make a suggestion on improvements, Storm Water Management Model (SWMM) was constructed by using data set from the water quality and streamflow monitoring network in the Kyoungan watershed for Total Maximum Daily Loads (TMDLs). Load duration curve (LDC) based on the result of the Kyoungan watershed SWMM indicated that the water quality criterion on $BOD_5$ was often exceeded in up-stream than down-stream. From flowrate-load correlation curve, SS load significantly increased as streamflow increases. 75.3% of streamflow and 62.1% of $BOD_5$ loads is discharged especially in the zone of high flows, but monitoring data set didn't provide proper information about the conditions and the patterns associated with storm events. Therefore, it is necessary to acquire representative data set for comparing hydrograph and pollutograph through monitoring experimental watershed and to establish methods for quantifying point and nonpoint source pollutant loads.

• 환경정책연구
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• 제12권1호
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• pp.59-74
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• 2013

낙동강을 비롯한 각 수계의 적절한 수질관리방안을 모색하기 위해 현행 모니터링 시스템의 문제점을 고찰하였다. 현재의 모니터링 시스템은 일주일 또는 그 이상의 간격으로 수질시료를 채취하고 분석하여 수계의 수질수준을 판단하고 있으나 이러한 주간 단위의 수질분석은 급변하는 수질에 대한 정보제공에 한계가 있는 것으로 가정하고 강정고령보를 중심으로 보의 상류지역인 문산리, 금호강의 최말단부인 강창교, 보와 금호강 합류부보다 하류에 위치한 사문진교 등 세 개의 지점에 대하여 2011년 5월 1일부터 9월 30일에 걸쳐 매일 수질시료를 채취하여 9개 항목에 대하여 분석하였다. 그 결과 분석대상이 된 9개의 수질인자 모두의 농도가 일단위로 급변하는 추세를 보여 현재의 모니터링 시스템에서 확인하는 수질변화는 큰 의미가 없음을 알 수 있었다. 또한 각 인자에 있어 일변화의 폭이 매우 크게 나타남으로 낙동강의 수질관리를 위해서는 최소한 일단위의 수질시료채취 및 분석이 필요할 것으로 사료되어 현재의 모니터링 시스템에서 수행되고 있는 주간단위의 시료채취 및 분석에 대한 보완이 시급한 것으로 나타났다. 그러나 수계의 모든 지점을 매일 수질시료를 채취하고 분석하는 것은 현실적으로 불가능할 것으로 사료되어 이에 대한 대안을 마련해야 할 것이다.

• 한국농공학회논문집
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• 제59권3호
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• pp.51-62
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• 2017

Since living environment has improved, waterfront space using and clear water demand have increased. Ministry of Environment (ME) designated polluted reservoir (worse than 4th grade) as a priority management reservoir to improve water quality (better than 3rd grade) accordingly. Minstry of Agriculture, Food and Rural Affairs (MAFRA) aims reservoir water quality 4th not 3rd grade. And water quality of agricultural reservoirs was not a great interest. For this reason, there are very few water quality monitoring data. However after designating as a priority management reservoir, reservoir manager should start water quality and flow monitoring of reservoirs and inflow streams. This process makes it possible setting complex model to accurate prediction of reservoir water quality and volume. Mulwang reservoir designated as a priority management reservoir in September 2014. In this study, BASINS/WinHSPF and EFDC-WASP were used to predict effect of water quality improvement countermeasures in Mulwang reservoir. To improve water quality of Mulwang reservoir, Siheung-si and Korea Rural Community Corporation (KRCC) established water quality improvement countermeasures. However result of simulation adapting these countermeasures cannot achieve 3rd grade. So 4 additional scenarios were adapted and the result satisfied 3rd grade. This study could help to establish water quality improvement countermeasure by using complex modeling.

• 상하수도학회지
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• 제20권4호
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• pp.573-584
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• 2006

This study was carried out to investigate the causes of fish kills in the Yudeung Stream in Daejeon, Korea using literature reviews, governmental and our water quality monitoring data of the study site, rainfall data, intensive water quality monitoring during rainfall events, sediment pollutant contents and laboratory bioassay tests. Fish kill in urban streams can be caused by combined effect of reduction in dissolved oxygen concentration, increase in toxic material or increase in turbidity in waterbody due to introduction of surface runoff or effluent of combined sewer overflows after rainfall from the watershed areas. Despite of extensive and intensive field surveys and laboratory tests, it was found that those conventional methods have limitations to identify causes of fish kills in urban streams. It would be necessary to use dynamic water quality modeling to predetermine the range and level of water pollution in the stream and automatic water quality monitoring system that can collect water samples and detect water quality continuously.