• Journal of the Korean Society of Hazard Mitigation
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• v.9 no.5
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• pp.115-123
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• 2009

Integrated information to water quantity and quality is essential for planning water resources management as well as operating water-related infrastructures. Because data collection process including monitoring and maintenance is separated in different governmental agencies in Korea, integrating quantity and quality may provide effective and better management implementation. In this study, a number of suggestions regarding integration of water monitoring were concluded in terms of technological, legal and institutional implications. First, it is necessary to discuss national water monitoring plan, national water information management plan, agreement of standard terms of monitoring between ministries, and to revise the law(river law and water quality management law). Present stations for water monitoring should be used for both of quantity and quality monitoring. If station is newly installed or relocated, it is better that one single agency maintain monitoring frequency and data management as well. In addition, a monitoring protocol need to be agreed by each of parties. In order to develop integrated monitoring system, quality assurance of the collected data should be properly maintained. Since many purposes haven been concerned using of data analysis and assessment so far, it may not be easy to integrate water quantity and quality monitoring in a short period. However, the alternatives including enhancing institutional regulations and programs, advanced technology may promote an efficient integrated water monitoring.

• Journal of Environmental Policy
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• v.12 no.1
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• pp.59-74
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• 2013

The weakness of current water quality monitoring system was reviewed to manage Nakdong river's water quality. The current monitoring system has sampling periods lasting for a week to 10 days, but these-SAMpling periods may not accurately measure the real level of water quality. Therefore, daily sampling and analysis of water samples for nine factors was performed from May 1st 2011 to Sep. 30st 2011 to check the water quality changes at three-SAMpling points, Munsanri (the upper side of Kangjung-Koryung weir), Kangchang (the outlet of the Kumho River) and Samunjin (the lower side of Kangjung-Koryung weir). As demonstrated by the results, concentrations of all nine factors dramatically changed on a daily basis, so daily sampling and analysis of water quality samples may be needed instead of weekly sampling and analysis of water quality samples to ensure the proper management of the Nakdong River's water quality. However, daily observations for all water sampling points are not possible because costs and labors are limited, so that new methods which could support the current monitoring system should be developed.

• Journal of Korean Society of Environmental Engineers
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• v.34 no.6
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• pp.373-381
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• 2012

An automatic flow and water quality monitoring system was applied to estimate pollutant loads to an urban stream during storm events in DTV (Daeduk Techno Valley), Daejeon, Korea. The monitoring system consists of rainfall gage, ultrasonic water level meter, water quality sensors for DO, temperature, pH, conductivity, turbidity and automatic water sampler for further laboratory analysis. All data are transmitted through on-line system and the monitoring system is designed to be controlled manually in the field and remotely from laboratory computer. Flow rates were verified with field measurements during storm events and showed good agreements. Automatic sampler was used to collect real time samples and analyzed for BOD, COD, TN, TP, SS and other pollutant concentrations in the laboratory. SWMM (Storm Water Management Model) urban watershed model was applied and calibrated using the observed flow and water quality data for the study area. While flow modeling results showed good agreement for all events, water quality modeling results showed variable levels of agreement. These results indicate that current options in the SWMM model to predict pollutant build up and wash-off effects are not sufficient to satisfy modeling of all the rainfall events under study and thus need further modification. This study showed the automatic monitoring system can be used to provide data to assist further refinement of modeling accuracy. This automatic stormwater monitoring and modeling system can be used to develop basin scale water quality management strategies of urban streams in storm events.

• Journal of Korean Society of Environmental Engineers
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• v.27 no.5
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• pp.453-460
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• 2005

Since late 1970s, water quality monitoring had been performed in Korea by various agencies according to their own needs and objectives. Lacking of consistency in principles, such diverse operation has been producing difficulties in management of information on water quality parameters. These difficulties resulted from the fact that the expansion of monitoring networks had been based not on systematic methodology with considerations on scientifically established planning objectives but on personal experiences and subjective judgments in locating monitoring stations. This study aimed, therefore, to develop a selection methodology for locating monitoring stations to provide various informations on water quality to satisfy various monitoring objectives such as understanding short and long term trends of water quality, monitoring violations to water quality standards, identifying external causes and sources affecting water quality changes, supporting utilization of water resources, examining short-term variations in water quality through a concentrated investigation, estimating pollution loads from each unit watershed, supporting water quality modeling, and establishing informative systems for water resources management. Also, we applied the proposed methodology and presented an improved expansion plan for water quality monitoring networks in the Han River.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.5
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• pp.957-968
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• 2021

To improve the data on reliability of the onshore fish farm water quality monitoring system and operate the system efficiently, the water quality data of the onshore seawater fish farms which are progressing test operation, and the marine environmental information network(Wando tidal station) were compared and analyzed. Furthermore, data validation, data range filters, and data displacement checks were applied to analyze the data in a way that eliminates the data errors in water quality monitoring systems and increases the reliability of measurement data.

• Journal of the korean society of oceanography
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• v.39 no.2
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• pp.148-154
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• 2004

This study describes the realtime monitoring system for water quality conditions in coastal waters. Some issues on the data qualify control and quality analysis are examined along with examples of erroneous data. Three different cases of database produced by the realtime monitoring system are presented and analyzed, namely 1) hypoxic condition, 2) over-saturated D.O. and 3) short-term variability of temperature and D.O. In utilizing the realtime database, D.O. prediction and warning models are developed based on autoregressive stochastic process. The model is very simple, yet, users in various levels from powerful and useful with its ability to send warning messages to users in varous levels from governmental administrative staff to local fisherman, and give them some allowances to cope with the situation.

• Journal of Soil and Groundwater Environment
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• v.16 no.3
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• pp.38-47
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• 2011

Groundwater monitoring data from the National Groundwater Monitoring Stations, a total of 320 stations, were analyzed to identify the response of water level and quality to the Odaesan earthquake (M4.9) occurred in January 2007. Among the total of eight stations responded to the earthquake, five wells showed water-level decline, and in three wells, water level rose. In terms of recovery, water levels in four stations had recovered to the original level in five days, but not in the rest four wells. The magnitude of water-level change shows weak relations to the distance between the earthquake epicenter and the groundwater monitoring station. However, the relations to the transmissivities of monitored aquifer in the station with the groundwater change were not significant. To implement the earthquake monitoring system through the groundwater monitoring network, we still need to accumulate the long-term monitoring data and geostatistically analyze those with hydrogeological and tectonic factors.

• Journal of Environmental Impact Assessment
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• v.4 no.3
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• pp.31-39
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• 1995

Environmental Impact Assessment (EIA) is composed of various procedures, such as screening, scoping, inventory survey, prediction, assessment, alternative assessment, mitigation measures, and post management. Environmental monitoring data for air quality or water quality, etc. is applied in the EIA process, especially in prediction and post management. As an effective tool of environmental monitoring, the remote sensing method, introduced recently, was used in collecting nationwide data concerning ecosystem and land use. This article explains the current monitoring status in Korea. Monitoring factors include air quality, water quality, soil, ocean, odor, noise, and ecosystems. This report explains the organization of the environmental monitoring system managed by the Ministry of Environment in Korea. Furthermore, it shows the environmental criteria and environmental policies applied to EIA in Korea.

• Journal of environmental and Sanitary engineering
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• v.5 no.2
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• pp.15-21
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• 1990

Current analyses of tap water in Seoul metropolitan area prove the water is still safe, despite the Pollution of raw water source. However, it also significantly suggests that a feasibility study of apply, additional advanced technology to existing water treatment processes is needed in order to cope with future pollution. Also, the monitoring of water quality within private, multi-household buildings is important as the monitoring of public water distribution system.

• Journal of Wetlands Research
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• v.8 no.1
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• pp.59-71
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• 2006

River Management System was developed to achieve water quality analysis that reflects physical characteristics of river flow. The Gyecheon basin which is located at the upstream of Hoengseong dam was selected as an experimental watershed and hydrologic and water quality monitoring network was set up for acquisition of real time data. The observed data have been stored in the system until present. The hydraulic and water quality models were constructed for an experimental watershed, and the calibration and verification was performed using past flood events and observed water quality data. Graphic User Interface(GUI) was developed with ArcView in a study area. Developed system can be effectively used to water quality monitoring and management in Hoengseong Lake.