• 제목/요약/키워드: Improved Water Quality

검색결과 881건 처리시간 0.034초

영산강 수계의 토지이용과 수질항목 간의 상관관계 분석 (Analysis of Relationship Between Water Quality Parameters with Land Use in Yeongsan River Basin)

  • 박진환;문명진;김갑순
    • 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.

한강수질개선의 속성별 경제적 편익 -컨조인트 분석법을 이용하여- (A Conjoint Analysis to the Economic Benefits of Improved Water Quality of Han River)

  • 조승국;신철오
    • 자원ㆍ환경경제연구
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    • 제14권3호
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    • pp.655-672
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    • 2005
  • 한강은 수도 서울을 관통하면서 수도권의 자연환경과 생활환경에 중요한 기능을 담당하고 있다는 점에서 한강이 지니는 사회 경제적인 역할은 매우 크며, 지난 수십 년간 한강의 수질문제는 한국 사회의 중요한 이슈로 대두되어 왔다. 이에 따라 본 연구는 서울을 대상으로 컨조인트 분석을 이용하여 한강수질개선에 따른 속성별 경제적 편익을 측정하고자 한다. 연구결과 설문에 응한 서울시민들은 전반적으로 수질에 영향을 받는 속성들과 가격 사이의 상충관계를 잘 이해하며 응답하였고, 추정결과는 통계적으로 유의한 것으로 나타났다. 이러한 본 연구의 결과는 한강수질의 개선문제에 대해 정량적 정보를 제공한다는 측면에서 의미가 있다.

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A study on the algal growth-related water quality of the Dongbok laka

  • Kim, Jong-Min;Kim, Hyun-Ku;Huh, Yu-Jeong;Jeong, Jong-Bum
    • 한국환경생물학회:학술대회논문집
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    • 한국환경생물학회 2004년도 학술대회
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    • pp.25-25
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    • 2004
  • We studied algal growth-related water quality of the Dongbok lake which is the drinking water reservoir for the Gwangju municipality. Peridinium cinctum and several diatomic algal species frequently caused water bloom throughout the lake from early spring to late autumn. With the heaviest predominance of Peridinium cintum in May 2003, COD was 13.7 mg/I in the surface layer. Highly turbid surface water with 46.8 mg/I of SS was also caused by Perdinium bloom. Peridinium bloom decisively eliminated cyanobacterial growth in the lake, otherwise cyanobacterial bloom resulted. Dense algal layer was confined in the upper several meters of the water column above the thermocline, which gives relatively algae-free water in deeper layer suitable for drinking source water supply. Upon collapse of thermocline, water quality of the surface layer was improved while deeper layer was deteriorated in terms of water quality. This paper deals with some details of water quality changes with algal growth in the Dongbok lake past two years.

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Development of Water Quality Modeling in the United States

  • Ambrose, Robert B;Wool, Tim A;Barnwell, Thomas O.
    • Environmental Engineering Research
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    • 제14권4호
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    • pp.200-210
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    • 2009
  • The modern era of water quality modeling in the United States began in the 1960s. Pushed by advances in computer technology as well as environmental sciences, water quality modeling evolved through five broad periods: (1) initial model development with mainframe computers (1960s - mid 1970s), (2) model refinement and generalization with minicomputers (mid 1970s - mid 1980s), (3) model standardization and support with microcomputers (mid 1980s - mid 1990s), (4) better model access and performance with faster desktop computers running Windows and local area networks linked to the Internet (mid 1990s - early 2000s), and (5) model integration and widespread use of the Internet (early 2000s - present). Improved computer technology continues to drive improvements in water quality models, including more detailed environmental analysis (spatially and temporally), better user interfaces and GIS software, more accessibility to environmental data from on-line repositories, and more robust modeling frameworks linking hydrodynamics, water quality, watershed and atmospheric models. Driven by regulatory needs and advancing technology, water quality modeling will continue to improve to better address more complicated water bodies and pollutant types, and more complicated management questions. This manuscript describes historical trends in water quality model development in the United States, reviews current efforts, and projects promising future directions.

안양천에서의 생태학적 수질오염도 평가 (Assessment of Water Quality Based on Ecological Factors in Anyang River)

  • 이양규;조원철
    • 한국환경복원기술학회지
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    • 제9권3호
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    • pp.39-50
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    • 2006
  • In this study, the water quality investigated during 2002s to 2004s for Anyang river and its affluent that was based on biological and chemical methods as well as ecological index of each streams. The improving of water quality and the multiplicity of specious in the most streams except for Anyang, which was due to the improving of water quality and water resource. The seasonal dry states are completely disappeared, but water quality of Anyang main stream was classified as fifth grades water with BIP 8.51~10.00 and BOD 8.16~14.4mg/l in Anyang stream overall. And alpha-mesosaprobic in upper, mid parts and polysaprobic in down parts of Anyang main stream are appeared according to Saprobien system, respectively. The water supply of treated sewage is appeared that upgrading effects of water quality in Anyang main stream and affluents of Anyang city area, but the practical effects of "Saving Anyang River" could not gained because the water quality of other branches in upstream parts than upstream measuring point of Anyang main stream, Wanggok stream Sanbon stream in Gunpo and Eeiwang cities, was not improved.

물안전계획(Water Safety Plan)의 국내 도입방안 (Introduction of Water Safety Plan in Korea)

  • 김진근
    • 상하수도학회지
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    • 제26권4호
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    • pp.535-545
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    • 2012
  • Recently, drinking water quality has significantly improved with the progress of water treatment technologies, however, customer's trust on tap water is still relatively low. Low trust on water quality is mainly due to vague anxiety. Therefore, to improve customer's trust on drinking water quality new strategy such as water safety plan(WSP) which recommended by WHO and IWA should be introduced. WSP can be defined as an approach which uses comprehensive risk assessment and risk management approach that encompasses all steps in water supply from catchment to consumer to ensure the safety of a drinking water supply. In this study, cases on WSP introduction in other countries as well as strategy for the introduction of WSP in Korea were investigated. In addition, recommendations on the improvement of the current water contamination response manual was suggested based on the analysis of the existing manual at a full scale water treatment plant.

시민지불의사에 기초한 태화강 수질개선의 사회적 편익 (Social Benefits of Improved Water Quality at the Taehwa River Based on Citizen's Willingness-to-Pay)

  • 김재홍
    • 환경정책연구
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    • 제6권1호
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    • pp.83-109
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    • 2007
  • 본 연구는 이중양분선택형 조건부가치측정 법을 이용하여 태화강 수질개선의 편익에 대한 울산시민의 지불의사를 계량화하였다. 이변량 프로빗 모형으로 추정한 태화강 수질개선의 편익은 가구당 월평균 3,458.5원(표준편차 1,553.4원)으로 추정되어 울산광역시 전체로는 연평균 147.6억 원(140.4억 원$\sim$155.5억 원)에 이른다. 이러한 추정치는 태화강 수질을 개선하지 않을 경우의 수질오염으로 인한 사회적 비용 또는 수질개선에 의한 사회적 편익에 해당한다. 본 연구는 태화강 수질개선의 사회적 편익을 화폐가치로 추정함으로써 다양한 태화강 수질 개선사업의 타당성 검정을 위한 비용편익분석의 기초 자료로 활용될 수 있을 것이다. 또한 방법론적 측면에서 표본선택모형을 이용하여 이중양분선택형 설문을 이용한 조건부가치측정법에서 발생 가능한 두 응답 간 상호의존성 유무를 검정하였으며, 본 연구에서 사용한 자료에서는 지속성 가설, 정박가설, 비용기대가설, 긍정응답가설, 프레임가설 등 모든 종류의 두 응답 간 상호의존성이 통계적으로는 유의하지 않은 것으로 나타났다.

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수질 지수 예측성능 향상을 위한 새로운 인공신경망 옵티마이저의 개발 (Development of new artificial neural network optimizer to improve water quality index prediction performance)

  • 류용민;김영남;이대원;이의훈
    • 한국수자원학회논문집
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    • 제57권2호
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    • pp.73-85
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    • 2024
  • 하천과 저수지의 수질을 예측하는 것은 수자원관리를 위해 필요하다. 높은 정확도의 수질 예측을 위해 많은 연구들에서 인공신경망이 활용되었다. 기존 연구들은 매개변수를 탐색하는 인공신경망의 연산자인 옵티마이저로 경사하강법 기반 옵티마이저를 사용하였다. 그러나 경사하강법 기반 옵티마이저는 지역 최적값으로의 수렴 가능성과 해의 저장 및 비교구조가 없다는 단점이 있다. 본 연구에서는 인공신경망을 이용한 수질 예측성능을 향상시키기 위해 개량형 옵티마이저를 개발하여 경사하강법 기반 옵티마이저의 단점을 개선하였다. 본 연구에서 제안한 옵티마이저는 경사하강법 기반 옵티마이저 중 학습오차가 낮은 Adaptive moments (Adam)과 Nesterov-accelerated adaptive moments (Nadam)를 Harmony Search(HS) 또는 Novel Self-adaptive Harmony Search (NSHS)와 결합한 옵티마이저이다. 개량형 옵티마이저의 학습 및 예측성능 평가를 위해 개량형 옵티마이저를 Long Short-Term Memory (LSTM)에 적용하여 국내의 다산 수질관측소의 수질인자인 수온, 용존산소량, 수소이온농도 및 엽록소-a를 학습 및 예측하였다. 학습결과를 비교하면, Nadam combined with NSHS (NadamNSHS)를 사용한 LSTM의 Mean Squared Error (MSE)가 0.002921로 가장 낮았다. 또한, 각 옵티마이저별 4개 수질인자에 대한 MSE 및 R2에 따른 예측순위를 비교하였다. 각 옵티마이저의 평균 순위를 비교하면, NadamNSHS를 사용한 LSTM이 2.25로 가장 높은 것을 확인하였다.

금강수계 1단계 수질오염총량관리제의 목표수질 및 할당부하량 달성도 평가 (Evaluation of Water Quality Goal and Load Allocation Achievement Ratio in Guem River Total Maximum Daily Loads for the 1st Phase)

  • 박재홍;오승영;이재관
    • 한국물환경학회지
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    • 제28권6호
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    • pp.859-865
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    • 2012
  • It is necessary to evaluate performances hitherto carried out in the management of Total Maximum Daily Loads (TMDLs) and to set up direction so that this system can be improved continuously in the future. This study was investigated load allocation achievement ratio, water quality goal achievement ratio and interrelation between water quality goal and load allocation for the first period (2004~2010). Load allocation achievement and BOD water quality goal achievement ratio were 50% and 73% in Guem River Basin, respectively. The main reason for excess of load allocation and shortfall of water quality goal were unfulfilled reduction plan and pollution sources increment. Therefore, it is necessary to develop enhanced pollution sources prediction method and make a list realizable reduction plan. 63% of the unit watershed was not interrelation between water quality goal and load allocation. The reason why water quality goal and load allocation had not correlation were water quality of upper unit watershed, increment of inflow quantity, effluent water quality of wastewater treatment plant affected the unit watershed, increment of inner productivity by algae, water quality deterioration during the specific period, river management flow, etc.

한강수계 중권역별 오염물질 추세분석 및 달성도 평가를 통한 우선관리물질 선정 (Pollutants Classification based on Trend Analysis and Assessment of Water Pollutants Achievement in Subbasins of Han River Basin)

  • 김계웅;송정헌;이도길;황하선;강문성
    • 한국농공학회논문집
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    • 제61권3호
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    • pp.67-76
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    • 2019
  • The objectives of this study were to analyze trends of water pollutants and to evaluate the achievement of water quality standards by subbasins in the Han River. The trends of 40 water pollutants at 232 water quality measurement points were analyzed. Chemical oxygen demand (COD), Total organic carbon (TOC), Total coliforms (TC), et cetera were found to be worsening trend. For evaluation of achievement, we evaluated water quality arithmetic mean with river environment standards and human health standards at representative points of the subbasin. Biochemical oxygen demand (BOD), TOC, Total phosphorus (T-P), Fecal coliforms (FC), TC exceeded water quality standards, and water quality of human health standards was all satisfied. So, we prioritized pollutants. If pollutants exceed water quality standards or were worse, they were classified first pollutants. Although BOD and T-P are first pollutants because of water quality standards excess, they are continuously improved. Also, it is better to maintain current status because water quality management system of BOD and T-P is well prepared. Meanwhile, TOC, TC, and FC exceed water quality standards. Furthermore, they were worse gradually, but there is a lack of management systems such as water quality standards of the effluence facilities. Therefore, it is necessary to supplement the system. The results of this study can be used as primary data for the establishment of water quality standards and selection of management pollutants.