• 제목/요약/키워드: Water quality level model

검색결과 222건 처리시간 0.03초

소도시 온천 관광객 서비스 질 평가모형개발 - 수안보 온천을 중심으로 - (A Study on the Development of Evaluation Model for Hot Spring Water Tourist Service Quality in Small City - Focused on the Suanbo Hot Spring Water -)

  • 윤장열;진장원;김태호
    • 한국농촌건축학회논문집
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    • 제11권2호
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    • pp.29-36
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    • 2009
  • The recently research shows that the many tourists of Suanbo hot spring waters haven't satisfied the service. These reasons due to that they did not properly consider the satisfaction of tourists' services and index. However, satisfaction level of hot spring waters tourists is interacted complicatedly with various factors, the interactions are not easily identified. A structural equations model is adopted to capture the complex relationships among variables. In the model estimation, we used 140 survey data of Suanbo hot spring waters tourists. The SEM with several factors mentioned above as exogenous variables shows that they have complex and strong relationships. As results of a SEM, it was shown that variables influencing in pleasance are surrounding scenery, clean condition inside hot springs and congestion for use in satisfaction level most. Secondly, in case of kindness, attitudes of employees influence in satisfaction level most, followed by attitudes of residents and kindness of employees. Thirdly, in case of information, it was shown guidance on internal roads influencing in satisfaction level most, followed by guidance on owner drivers, guidance on surrounding tourist attractions and guidance on public transportation. Finally, a variable influencing in accessibility most is satisfaction level of public transportation.

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화성호 유역의 수질관리를 위한 유역모델링 연구 (Watershed Modeling Research for Receiving Water Quality Management in Hwaseong Reservoir Watershed)

  • 장재호;강형식;정광욱
    • 한국물환경학회지
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    • 제28권6호
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    • pp.819-832
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    • 2012
  • HSPF model based on BASINS was applied for the Hwaseong Reservoir watershed (HRW) to evaluate the feasibility of water quality management. The watershed was divided into 45 sub-basins considering various watershed environment. Streamflow was calibrated based on the measured meteorological data, discharge data of treatment plants and observed streamflow data for 2010 year. Then the model was calibrated against the field measurements of water qualities, including BOD, T-N and T-P. In most cases, there were reasonable agreements between observed and predicted data. The validated model was used to analyze the characterization of pollutant load from study area. As a result, Non-point source pollutant loads during the rainy season was about 66~78% of total loads. In rainy-season, water quality parameters depended on precipitation and pollutant loads patterns, but their concentration were not necessarily high during the rainy season, and showed a decreasing trend with increasing water flow. As another result of evaluation for load duration curves, in order to improve water qualities to the satisfactory level, the watershed managements considering both time-variant and pollution sources must be required in the HRW. Overall, it was found that the model could be used conveniently to assess watershed characteristics and pollutant loads in watershed scale.

QUAL II 모형의 금강수계에의 적용 (An Application of the QUAL II Model to the Keum River System)

  • 최흥식;이길성
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 1987년도 제29회 수공학연구발표회논문초록집
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    • pp.159-168
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    • 1987
  • 하용에서 수질 시뮬레이숀에 의한 시간적, 공간적 수질예측은 하용 수질관리를 위한 계획수립, 설계 및 모형의 최적화에 필요한 자료를 제공해 준다. 본 연구는 대청댐 하류에서 부여백제대교에 이르는 금강수계에서의 QUAL II 모형의 적용에 관한 것이다. QUAL II모형에서 사용된 물질수지방정식에 근거를 둔 대류-분석모형과 그 수치해석법을 제시하였다. 하용을 따르는 BOD, DO 및 수온의시뮬레이숀괍과 실측값과의 비교분석을 통한 모형의 활용성 제고에 역점을 두었다. 이러한 과정을 통해 금강에서의 하용수질을 평가하고, 탈산소 계수, 재폭기 계수 및 자정계수의 값을 추정하였다. 또한 대청댐 방류량 조절에 의한 목표하는 DO의 유지에 대하여 논의하였다.

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하천(河川)의 수질예측(水質豫測)을 위한 수치모형(數値模型)에 관한 연구(硏究) (-A Study on a Mathematical Model for Water Quality Prediction for Rivers-)

  • 김성순;이양규;김갑진
    • 상하수도학회지
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    • 제9권4호
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    • pp.73-86
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    • 1995
  • The propriety of the numerical model application was examined on Paldang resevoir and its inflow tributaries located in the center of the Korean peninsula and the long term water quality forecast of the oxygen profile was carried out in this syduy. The input data of the model was the capacity of the reservoir, catchment area, percolation, diffusion rate, vertical mixing rate, dissolution rate from the bottom of the reservoir, outflow of the resevoir, water quality measurement and meteorology data of the drainage basin, and the output result was the annual estimation value of the dissolved oxygen concentration and the biochemical oxygen demand. The modeling method is based on the measured or calculated boundary condition dividing the water area into several blocks from the macorscopic aspect and considering the mass balance in these blocks. As the result of the water quality forecast, it was expected that the water quality in Northern Han River and Paldang reservoir would maintain the recent level, but that the water quality in the Southern Han River and its inflow tributary would worsen below the grade 4 of the life environmental standard from around 2000 owing to the decrease of DO concentration and the increase of BOD concentration.

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성층화된 저수지의 방류수 수질예측을 위한 SELECT 모델의 적용성 검토 (Evaluation of SELECT Model for the Quality Prediction of Water Released from Stratified Reservoir)

  • 이흥수;정세웅;신상일;최정규;김유경
    • 한국물환경학회지
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    • 제23권5호
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    • pp.591-599
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    • 2007
  • The quality of water released from a stratified reservoir is dependent on various factors such as the location and shape of intake facility, structure of reservoir stratification, profile of water quality constituent, and withdrawal flux. Sometimes, selective withdrawal capabilities can provide the operational flexibility to meet the water quality demands both in-reservoir and downstream. The objective of this study was to evaluate the performance of a one-dimensional reservoir selective withdrawal model (SELECT) as a tool for supporting downstream water quality management for Daecheong and Imha reservoirs. The simulated water quality variables including water temperature, dissolved oxygen (DO), conductivity, turbidity were compared with the field data measured in tailwater. The model showed fairly satisfactory results and high reliability in simulating observations. The coefficients of determinant between simulated and observed turbidity values were 0.93 and 0.95 for Daecheong and Imha reservoirs, respectively. The outflow water quality was significantly influenced by water intake level under fully stratified condition, while the effect of intake amount was minor. In conclusion, the SELECT is simple but effective tool for supporting downstream water quality prediction and management for both reservoirs.

하수처리수의 농업용수 재이용에 따른 포장단위 수질영향 분석 (Analysis of Wastewater Reuse Effect on Field-Scale Water Quality)

  • 성충현;김성재;김성민;김상민
    • 한국농공학회논문집
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    • 제53권4호
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    • pp.59-65
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    • 2011
  • The purpose of this study was to analyze the water quality change when wastewater applied to study paddy fields. CREAMS-PADDY (Chemical, Runoff and Erosion from Agricultural Management System) model was used to estimate the field-scale water quality. Simulated results were compared with observed data monitored from Byeongjeom study paddy fields which is located near the Suwon sewage treatment plant in Gyeonggi-do. Significance analysis was performed for the three different irrigation water quality level and five fertilizer reduction scenarios using LSD (Least Significant Difference) and DMRT (Duncan's Multiple Range Test). Total nitrogen was found to be significant for both irrigation water quality level and fertilizer reduction while total phosphorus was not. Annual drainage load for total nitrogen was reduced by 66~92 % compared to irrigation load when treated wastewater irrigated to study paddy fields from 2002 to 2007. Total phosphorus was reduced by 70~86 %.

Development of the CAP Water Quality Model and Its Application to the Geum River, Korea

  • Seo, Dong-Il;Lee, Eun-Hyoung;Reckhow, Kenneth
    • Environmental Engineering Research
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    • 제16권3호
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    • pp.121-129
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    • 2011
  • The completely mixed flow and plug flow (CAP) water quality model was developed for streams with discontinuous flows, a condition that often occurs in low base flow streams with in-stream hydraulic structures, especially during dry seasons. To consider the distinct physical properties of each reach effectively, the CAP model stream network can include both plug flow (PF) segments and completely mixed flow (CMF) segments. Many existing water quality models are capable of simulating various constituents and their interactions in surface water bodies. More complicated models do not necessarily produce more accurate results because of problems in data availability and uncertainties. Due to the complicated and even random nature of environmental forcing functions, it is not possible to construct an ideal model for every situation. Therefore, at present, many governmental level water quality standards and decisions are still based on lumped constituents, such as the carbonaceous biochemical oxygen demand (CBOD), the total nitrogen (TN) or the total phosphorus (TP). In these cases, a model dedicated to predicting the target concentration based on available data may provide as equally accurate results as a general purpose model. The CAP model assumes that its water quality constituents are independent of each other and thus can be applied for any constituent in waters that follow first order reaction kinetics. The CAP model was applied to the Geum River in Korea and tested for CBOD, TN, and TP concentrations. A trial and error method was used for parameter calibration using the field data. The results agreed well with QUAL2EU model predictions.

Estimation of River Pollution Index Using Landsat Imagery over Tamsui River, Taiwan

  • Wang, Ying Hsuan;Sohn, Hong-Gyoo
    • Ecology and Resilient Infrastructure
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    • 제5권2호
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    • pp.88-93
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    • 2018
  • In-situ water quality sampling is used for accurate water quality assessment. However, in-situ water quality sampling offers limited samples and requires much time and intensive labors. Remote sensing approach has recently applied for water quality assessment. It has shown the advantage of offering a synoptic view but also more efficient and economical. In this study, we utilized Landsat Imagery to estimate the water quality of the Tamsui River basin, considered as one of the most important rivers located in the north of Taiwan. In order to monitor water quality of Tamsui River basin, a linear regression relation between the value of spectral radiance and four water quality parameters are investigated with 38 water sampling stations. Through the regression model, we could estimate river pollution index (RPI) from the predicted value of four water quality parameters. By using RPI, we can examine the pollution level of Tamsui River. The accuracy of RPI conversion of this study ranged from 32.2% to 68.2%.

고도정수처리에 따른 상수도 공급과정에서의 소독부산물 농도 예측모델 개발 (Development of a Concentration Prediction Model for Disinfection By-product according to Introduce the Advanced Water Treatment Process in Water Supply Network)

  • 서지원;김기범;김기범;구자용
    • 상하수도학회지
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    • 제31권5호
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    • pp.421-430
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    • 2017
  • In this study, a model was developed to predict for Disinfection By-Products (DBPs) generated in water supply networks and consumer premises, before and after the introduction of advanced water purification facilities. Based on two-way ANOVA, which was carried out to statistically verify the water quality difference in the water supply network according to introduce the advanced water treatment process. The water quality before and after advanced water purification was shown to have a statistically significant difference. A multiple regression model was developed to predict the concentration of DBPs in consumer premises before and after the introduction of advanced water purification facilities. The prediction model developed for the concentration of DBPs accurately simulated the actual measurements, as its coefficients of correlation with the actual measurements were all 0.88 or higher. In addition, the prediction for the period not used in the model development to verify the developed model also showed coefficients of correlation with the actual measurements of 0.96 or higher. As the prediction model developed in this study has an advantage in that the variables that compose the model are relatively simple when compared with those of models developed in previous studies, it is considered highly usable for further study and field application. The methodology proposed in this study and the study findings can be used to meet the level of consumer requirement related to DBPs and to analyze and set the service level when establishing a master plan for development of water supply, and a water supply facility asset management plan.

Multi regression analysis of water quality characteristics in lowland paddy fields

  • Kato, Tasuku
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2012년도 학술발표회
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    • pp.36-36
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    • 2012
  • Drainage water in lowland paddy fields is quantitatively influenced recycle and/or repeated irrigation by irrigation facilities, i.e. pumps, check gates, small reservoirs and so on. In those drainage channels, nutrients accumulation and increasing organic matters are considered to be occurred, and water quality would be degraded not only environmental aspect but irrigation purpose. In general, Total Nitrogen (T-N) is interested water quality index in irrigation water, because high nitrogen concentration sometimes caused decreasing rice production by excess growth and fallen or degrading quality of taste, then, farmers would like to clear water less than 1mg/L of T-N concentration. In drainage channel, it is known that the nitrogen concentration change is influenced by physical, chemical and biological properties, i.e, stream or river bed condition, water temperature, other water quality index, and plant cover condition. In this study, discharge data (velocity and level) in a drainage channel was monitored by an Acoustic Doppler system and water quality was sampled at same time in 2011. So those data was analyzed by multi regression model to realize hydrological and environmental factors to influence with nitrogen concentration. The results showed the difference tendency between irrigation and non-irrigation period, and those influenced factors would be considered in water quality model developing in future.

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