• 한국방재학회:학술대회논문집
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• 2008.02a
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• pp.409-411
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• 2008

Water conveyance from waste water treatment plant can play a role in securing river water quantitatively in urban watershed, but it can also cause more severe contamination of river water due to lack of water quality management. Soil aquifer treatment(SAT) has been introduced to overcome the worsening water quality in the water conveyance system considering the characteristics of Korean urban watershed. The application of SAT to the water conveyance system not only improve water quality of ordinarily discharged water but also prevent accidential water pollution to the urban watershed. Since most domestic urban watersheds are consist of narrow terrace lands and surrounded by roads, SAT is estimated not to be appropriate to the urban watershed with respect to the quantitative efficiency. However, since the upstream of urban watershed in which discharge ports are located usually consists of agricultural lands, SAT can be applied near discharge ports. Therefore, combination of water conveyance and SAT is expected to supply clean and safe river water in urban watershed.

• Journal of Environmental Impact Assessment
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• v.3 no.2
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• pp.25-32
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• 1994

This study was carried out as the Anyang creek water quality management using Geographic Information System (GIS) is the purpose of this pilot project to apply a GIS to environmental management field. Analysis of water quality data has been investigated using GIS with modeling of water quality management for the Anyang creek. The results of this study are summarized as follows: 1. The concentration of Mercury in sediment was increased rapidly nearby A26(Nightsoil Treatment Plant) and maximum was showed at A18 (Imgok bridge). Cadmium was increased rapidly at A35(Chulsan bridge). 2. River water quality management using visible computer system as GIS is effective to make decision for water quality management plan and database of environmental factors should be completed before applying GIS. 3. When water pollution accident is occurred in the river water system, pollutant source can be traced and analysed systematically using GIS to manage pollutants discharged into the river water system.

• Journal of Korean Society on Water Environment
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• v.21 no.6
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• pp.659-663
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• 2005

Many studies have been conducted to develop new technologies for arsenic removal and to reveal the levels of arsenic and other chemicals in rivers, lakes and ground waters. However, there are few studies dealing with such compounds in the total water system of the city, and the way of management of these compounds in the water system. Because the occurrence of these hazardous compounds, which are geological origins, is almost impossible to control, it is very important to manage these compounds in the water system. In this research, it was revealed that the risk of arsenic in the water treatment system of S city in Japan. As a results, the parameters such as Q in river and E260 in drinking water treatment plant is proposed as a new indicator with simple and rapid method for controling arsenic level.

• Journal of Korean Society on Water Environment
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• v.28 no.1
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• pp.10-17
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• 2012

The middle and lower reaches of the Kum River system become stagnant in dry seasons with florishing of phytoplankton. In this study primary productivity of phytoplankton were measured by the C-14 uptake method and the P-I model method at seven main stream sites of the Kum River from the Daechung Dam outet to the river mouth. Nutrients (TN, TP, DIP, TIN) concentrations were measured in the mainstream and tributaries and compared with the variation of assimilation number. The range of primary productivity was $40{\sim}4,558mgC{\cdot}m^{-2}{\cdot}day^{-1}$ and it was higher than those of lentic ecosystems in Korea. Average TN and TP were $4.1mgN{\cdot}L^{-1}$, $70.6mgP{\cdot}m^{-3}$, respectively. Tributaries showed higher nutrient concentrations than the main stream. After two major tributaries merged with the discharging water of the Daechung Dam phyotplankton biomass and productivity increased drastically and remained at the similar eutrophic level through the downstream reach to the river mouth. Both dissolved phosphorus and nitrogen concentrations showed positive correlation with assimilation number of phytoplankton. In conclusion phytoplankton productivity is at the level of eutrophic water and it was higher than usual lentic habitats. Nutrient concentrations are critical factors in controlling productivity in the lower reach of the Kum River.

• Journal of Korea Water Resources Association
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• v.52 no.12
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• pp.1087-1098
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• 2019

In this study, we developed an integrated urban river data platform that collects, cleans, and provides data for urban river management. The urban river integrated data platform has the function of collecting data provided by various institutions using the Open API service. The collected data is purified through pre-processing and loaded into a database. The collected data can be reviewed and analyzed using a visualization system and provided through the Open API, so that it can be used as individual input data by combining them in the urban river model. In addition, the development system for real-time data was developed to apply real-time data to urban river models. Through this, users will be able to reduce the time and effort required for data collection, pre-processing and input data construction, thereby increasing efficiency and scalability in the development of urban river models and systems.

• Journal of Environmental Impact Assessment
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• v.7 no.2
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• pp.103-112
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• 1998

Nature-friendly river project has became common practice in Japan. In order to make it available for the conservation and rehabilitation of desirable water environment, water criteria for water environmental assessment must be established. Especially, the criteria estimating the effects on ecosystem in and around river should be constructed. In this paper, classification method for water quality has been developed using biological indices and applied to observed data in Honmyo River, Nagasaki, Japan. Modified PI method (BI') has been suggested and those of three most abundant species resulted effective estimate for an overall water quality with comparatively simple procedure. Extensive database management code was prepared for the comprehensive ecological monitoring of river basin, which includes various biota. That system enables easy access of all the ecological data for a dissemination of a sound and sustainable water environment. The result of this study could improve knowledge base, serve making consensus for citizens, and help river management plans. In Japan, citizen's realization and action are the most critical factor for nature-friendly river restoration project.

• Journal of Korean Society on Water Environment
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• v.30 no.2
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• pp.119-127
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• 2014

The objective of this study is to evaluate and analyze Sumjin River Basin water environment system. It was necessary to improve the water quality. The data were collected from 2010 January to 2012 December including Water Temperature, pH, DO, EC, $BOD_5$, COD, TOC, SS, T-N, T-P. The data were used to study were required to; Correlation Analysis; Principle Component Analysis; Factor Analysis. The results were as followed. According to correlation analysis on $BOD_5$ against COD, TOC it revealed that the each value of correlation coefficient were 0.715 and 0.719; this means the strength of the relationship is strong. The same analysis on T-P against $BOD_5$, COD, TOC, SS has revealed that the range of the correlation coefficient value fell between 0.482 and 0.608 which means strength of the relationship between them remained normal. Through correlation analysis, it has been found that all elements except T-N have high correlation. The results of principal component analysis to target the overall water quality was extracted to three main components. The cumulative contribution rate is 68.990%. In the case of seasonal water quality, Spring and Summer are extracted to each of four main components. The cumulative contribution rate is 81.515% and 73.550% respectively. Fall and Winter are extracted to each of three main components. The cumulative contribution rate is 65.072% and 72.721% respectively. There is no seasonality in the case of factor analysis. The first common factor is $BOD_5$, COD, TOC, SS, T-P, which were classified. Totally speaking, Sumjin River Basin water system gets highly affected by the nutrient salts, organic matter and suspended solid at the same time.

• Journal of Korea Water Resources Association
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• v.52 no.spc2
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• pp.875-885
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• 2019

The expansion of riparian vegetation in middle size rivers in Korea had been analyzed in this study. Seom River with dam, Cheongmi River without dam, and Naesung River with no operating dam in the upstream was investigated for the 1 km to identify the expansion of riparian vegetation through the aerial photograph analysis. As a results, we found that the rate of vegetation area is 54.7% in Seom River, 77.5% in Cheongmi River, and 49.7% in Naesung River. The vegetation area had been increased in 3 rivers, and the expansion rate since 2010 is very high nearly up to 2 times (17 times in Naesung River). Sandbar and open-water area, however, have been decreased in the same rate with the riparian vegetation expansion. It could be concluded that vegetation increase trend is clear in rivers regardless of location and dam existence. Further researches are necessary to find out the causes to establish the countermeasures because the increase of vegetation will change the physical system as well as biological system of river.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.472-472
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• 2023

In this study, the transport of pollutants was analyzed using the K-River and K-DRUM coupling model for water pollution accidents that occurred in the Nakdong River water system. In Korea, the necessity of a distribution model that accommodates the water circulation process and the importance of nonpoint pollution sources were emphasized in water quality management after the introduction of the total amount of water pollution. Therefore, in order to reflect the runoff characteristics of nonpoint sources, the K-DRUM distribution model, which can analyze pollution in the basin, was used. And the reproducibility of the model was improved by applying the operating rules of dams operating in the Nakdong River system. In addition, in order to analyze the movement of pollutants in the river, only the advection part of the advection-dispersion equation was applied to the 1D hydraulic model K-River to perform pollutant tracking. As a result of water pollution analysis, the peak concentration of the pollutant was underestimated, but the arrival time and the trend of the overall pollutant concentration were well reproduced.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.131-131
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• 2021

Deep learning models, especially those based on long short-term memory (LSTM), have presented their superiority in addressing time series data issues recently. This study aims to comprehensively evaluate the performance of deep learning models that belong to the supervised learning category in streamflow prediction. Therefore, six deep learning models-standard LSTM, standard gated recurrent unit (GRU), stacked LSTM, bidirectional LSTM (BiLSTM), feed-forward neural network (FFNN), and convolutional neural network (CNN) models-were of interest in this study. The Red River system, one of the largest river basins in Vietnam, was adopted as a case study. In addition, deep learning models were designed to forecast flowrate for one- and two-day ahead at Son Tay hydrological station on the Red River using a series of observed flowrate data at seven hydrological stations on three major river branches of the Red River system-Thao River, Da River, and Lo River-as the input data for training, validation, and testing. The comparison results have indicated that the four LSTM-based models exhibit significantly better performance and maintain stability than the FFNN and CNN models. Moreover, LSTM-based models may reach impressive predictions even in the presence of upstream reservoirs and dams. In the case of the stacked LSTM and BiLSTM models, the complexity of these models is not accompanied by performance improvement because their respective performance is not higher than the two standard models (LSTM and GRU). As a result, we realized that in the context of hydrological forecasting problems, simple architectural models such as LSTM and GRU (with one hidden layer) are sufficient to produce highly reliable forecasts while minimizing computation time because of the sequential data nature.