• Title/Summary/Keyword: Water quality

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Watershed Selection for Diffuse Pollution Management Based on Flow Regime Alteration and Water Quality Variation Analysis (유황분석과 수질변화 평가를 통한 비점오염원 관리대상지역 선정방법 연구)

  • Jung, Woohyeuk;Yi, Sangjin;Kim, Geonha;Jeong, Sangman
    • Journal of Korean Society on Water Environment
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    • v.27 no.2
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    • pp.228-234
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    • 2011
  • The goal of water quality management on stream and watershed is to focus not on discharged loads management but on a water quality management. Discharged loads management is not goal of water quality management but way for perform with total maximum daily loads management. It is necessary to estimate the relation between non-point source with stromwater runoff (NPSSR) and water quality to select a watershed where it is required to manage NPSSR for water quality improvement. To evaluate the effects of NPSSR on stream's water quality, we compare the aspects of water quality in dry and wet seasons using flow duration curve analysis based on flow rate variation data by actual surveying. In this study we attempt to quantify the variation characteristic of water quality and estimate the Inflow characteristic of pollution source with water quality and flow rate monitoring on 10 watersheds. We try to estimate water quality and flow rate by regression analysis and try again regression analysis with each high and low water quality data more than estimations. An analysis of relation between water quality and flow rate of 10 watersheds shows that the water quality of the Nonsan and the Ganggyeong streams had been polluted by NPSSR pollutants. Other eight streams were important point source more than NPSSR. It is wide variation range of $BOD_5$ also high average concentration of $BOD_5$. We have to quantify water quality variation by cv1 in wet season and cv365 in dry season with comparing the estimate of high water quality and low water quality. This method can be used to indicator for water quality variation according to flow rate.

Establishment of Water Quality Standards and Water Quality Target in the Geum-River Basin (금강수계의 물환경기준과 목표수질 설정방안)

  • Yi, Sangjin
    • Journal of Korean Society on Water Environment
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    • v.29 no.3
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    • pp.438-442
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    • 2013
  • According to Geum-River restoration project, given conditions for management of water environment in the Geum-River were changed. Because of those changes, this study was investigated the establishment of water quality standards and water quality target in the Geum-River basin. For management of water environment in the Geum-River, the sub-basins and watersheds are newly divided and the water quality and ecosystem standards in the sub-basins are reestablished. Considering the consistency of water environment policy and legal system, the legal name of sub-basins and watersheds are unified. TMDL (total maximum daily load) should be implemented in the sub-basin where exceeds the water quality standards and the number of water pollutant among the water quality parameters which exceeds the water quality standards are extremely minimized. The water quality target of water pollutant for implementation of TMDL should be established same or higher concentration of water quality standards.

Impacts of Uncertainty of Water Quality Data on Wate Quality Management (수질자료의 불확실성이 수질관리에 미치는 영향)

  • Kim, Geonha
    • Journal of Korean Society on Water Environment
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    • v.22 no.3
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    • pp.427-430
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    • 2006
  • Uncertainty is one of the key issues of the water quality management. Uncertainty occurs in the course of all water quality management stages including monitoring, modeling, and regulation enforcement. To reduce uncertainties of water quality monitoring, manualized monitoring methodology should be developed and implemented. In addition, long-term monitoring is essential for acquiring reliable water quality data which enables best water quality management. For the water quality management in the watershed scale, fate of pollutant including its generation, transport and impact should be considered while regarding each stage of water quality management as an unit process. Uncertainties of each stage of water quality management should be treated properly to prevent error propagation transferred to the next stage of management for successful achievement of water quality conservation.

Temporal-Spatial Variations of Water Quality Level and Water Quality Index on the Living Environmental Standards in the West Nakdong River (서낙동강에서 생활환경기준을 적용한 수질등급 및 수질지수의 시·공간 변동 분석)

  • Park, Kyeong-deok;Kang, Dong-hwan;So, Yoon Hwan;Kim, Il-kyu
    • Journal of Environmental Science International
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    • v.28 no.12
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    • pp.1071-1083
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    • 2019
  • In this study, water quality levels were classified and water quality indices were calculated and analysed by using the water quality components of living environmental standards monitored 10 years (2008 ~ 2017) at four stations in the West Nakdong River. As a result of analyzing the monthly variation of the water quality components of the living environmental standards, the water quality in the West Nakdong River was worse downstream than upstream, and pollution at the WNR3 located in the downstream of the Jomangang was the most serious. As a result of classification of water quality levels, BOD and COD levels were the lowest, so water quality pollution in the West Nakdong River was found to be highly influenced by organic matters. The water quality index was the lowest in July and August at four stations, so water quality is showing the worst in summer. As a result of analyzing the correlation between the water quality components and the water quality index, the correlation between the TOC and the water quality index was high in the four stations, and the water quality index in the West Nakdong River was dominated by organic matters and nutrients.

Development and Application of Agricultural Reservoir Water Quality Simulation Model (ARSIM-rev) (농업용 저수지 수질모델 (ARSIM-rev) 개발 및 적용)

  • Haam, Jong Hwa;Kim, Dong Hwan;Kim, Hyung Joong;Kim, Mi-Ock
    • Journal of The Korean Society of Agricultural Engineers
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    • v.54 no.6
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    • pp.65-76
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    • 2012
  • Agricultural reservoir water quality simulation model (ARSIM-rev) was developed in this study for water quality simulation of a small and shallow agricultural reservoir with limited observed water quality data. Developed ARSIM-rev is a zero-dimensional water quality model because of little spatial differences in water quality between stations in a small and shallow agricultural reservoir. ARSIM-rev used same water quality reaction equations with WASP except for several equations, and daily based input parameters such as settling rate, release rate from sediment, and light extinction coefficient changed yearly based input parameters in ARSIM-rev. A number of pre- and post-processors were developed such as auto calibration and scenario analysis for ARSIM-rev. CE-QUAL-W2, WASP, and developed ARSIM-rev were applied to Mansu agricultural reservoir to evaluate model performance, and ARSIM-rev demonstrated similar model performance with CE-QUAL-W2 and WASP when low number of observed data was used for agricultural reservoir water quality simulation. Overall, developed ARSIM-rev was feasible for water quality simulation in a small and shallow agricultural reservoir with limited observed water quality data, and it can simulate agricultural reservoir water quality precisely enough like common water quality model such as CE-QUAL-W2 and WASP within a limited time.

Development of a Genetic Algorithm for the optimization in River Water Quality Management System (하천 수질관리 시스템에서 최적화를 위한 유전알고리즘의 개발)

  • 성기석;조재현
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • pp.203-206
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    • 2001
  • Finding the optimal solution in the river water quality management system is very hard with the non-linearity of the water quality model. Many suggested methods for that using the linear programming, non-linear programming and dynamic programming, are failed to give an optimal solution of sufficient accuracy and satisfaction. We studied a method to find a solution optimizing the river water quality management in the aspect of the efficiency and the cost of the waste water treatment facilities satisfying the water Quality goals. In the suggested method, we use the QUAL2E water quality model and the genetic algorithm. A brief result of the project to optimize the water quality management in the Youngsan river is presented.

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Selection Priority of Tributary Catchments for Improving Water Quality using Stream Grouping Method (하천그룹화 방법을 이용한 수질개선 하천유역의 우선순위 선정)

  • Cho, Byungwook;Choi, Jeongho;Yi, Sangjin;Kim, Youngil
    • Journal of Korean Society on Water Environment
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    • v.28 no.1
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    • pp.18-25
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    • 2012
  • For effective watershed management, it is very important to select the tributaries through selection and concentration of targeted tributary catchments for improving water quality within the limited financial conditions. This study introduced the selection and diagnosis procedure of tributary catchments for improving water quality at Chungcheongnam-do based on water quality and flowrate monitoring, stream grouping method. The tributaries with high value of water quality and flowrate were selected for improving water quality according to stream grouping method. The diagnosis of selected tributaries for improving water quality was performed with analysis of the pollution load (generated, discharged, delivered) and point source discharged pollution load density. The plans for improving water quality of tributaries were suggested thorough various diagnosis of tributary catchments. For improving water quality of tributaries in Chungcheongnam-do, the tributary catchments in the Dangjin, Asan, Yesan, Cheonan, Hongseong area should be preferentially considered. The water quality improving plans for those tributary catchments, in accordance with the reduction of sources of pollution by population and livestock, should be established.

Assesment of Water Quality Standards using Stochastic Distribution Characteristics between Dynamic Modeling Results and Observed Data (동적수질예측결과의 확률분포특성을 이용한 목표수질 달성가능성 평가)

  • Ha, Sung-Ryong;Lee, Ji-Heon;Seo, Se-Deok;Lee, Seung-Chul;Park, Jung-Ha
    • Journal of Environmental Impact Assessment
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    • v.17 no.1
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    • pp.47-56
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    • 2008
  • Total Maximum Daily Load(TMDL) is a core basin management system to assign total emissions of pollutants to unit basin and emission source within a limit of the target water quality and to secure sustainability. considering "Environment and development" together. By current technical guidance of TMDL, the water quality in the riverbed of which the target water quality is noticed, must achieve the target; and the water quality standard for evaluating achievement of the target should be prescribed as non-excessive probability quality of water on the basis of the pertinent water quality documents. Therefore, the study calculated the target water quality by each unit basin which the target water quality must be noticed through the analysis of probability for water quality documents in rivers at the time of establishing a plan, and the study evaluated the achievement possibility of the target water quality by analyzing and comparing the target water quality plan with the standard water quality to evaluate the achievement of the target water quality. As the result, applying the proposed method to Mihocheon River system, it is concluded that selected the target water quality (Each BOD 3.3mg/1 and BOD 3.0mg/1) in Miho A and Musim A is available. Of course, it showed that the target water quality: BOD 2.5mg/1 in Miho A and BOD 3.0mg/1 in Musim A, could be achieved if the small reduction in B unit area was implemented.

The Assessment of Coastal Water Quality Grade Using GIS (GIS를 이용한 연안 수질등급 평가)

  • Jeong, Jong-Chul;Cho, Hong-Lae
    • Journal of Environmental Impact Assessment
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    • v.15 no.1
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    • pp.45-52
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    • 2006
  • The purpose of this study is to assess spatiotemporal variation of coastal water quality according to time and location changes. For this we developed numerical marine trophic index base on four water quality components (chlorophyll, suspended solids, dissolved inorganic nitrogen and phosphorus) and applied this index to the water quality data measured in the korean coastal zone for the 7-years period from 1997 to 2003. Water quality data are obtained only at selected sites even though they are potentially available at any location. Therefore, in order to estimate spatial variation of coastal water quality, it is necessary to estimate the unknown values at unsampled locations based on observation data. In this study, we used IDW (Inverse Distance Weighted) method to predict water quality components at unmeasured locations and applied marine trophic index to predicted values obtained by IDW interpolation. The results of this study indicate that marine trophic index and spatial interpolation are useful for understanding spatiotemporal characteristics of coastal water quality.