• Journal of Korean Society on Water Environment
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• v.29 no.1
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• pp.107-113
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• 2013

The major tributaries in Sapgyo-reservoir watershed at Chungcheongnam-do were monitored for flowrate and water quality in order to analyze the characteristics of watershed and to prepare for implementation of total maximum daily load (TMDL). According to the analytical results of flowrate and water quality monitoring data of sixteen tributaries, the tributaries with the value of flowrate over $0.5m^3/s$ were 62.5% among the monitored tributaries and the value of flowrate in the Cheonancheon, Namwoncheon, Shinyangcheon except Gokgyocheon, Muhancheon, Sapgyocheon was relatively greater than the other tributaries. However, 37.5% of the tributaries were exceeded the water quality standards of Sapgyocheon sub-basin ($BOD_5$ 5 mg/L and/or below) and the concentration of water pollutants regardless of water quality parameters in Cheonancheon, Maegokcheon, Oncheoncheon including Gokgyocheon located in Gokgyocheon catchment were relatively higher than the other tributaries. The tributaries for improving the water quality, according to stream grouping method based on the results of flowrate and water quality monitoring data, were selected. In the Sapgyo-reservoir watershed, the tributaries for improving water quality, which has a large flowrate and a high concentration of water pollutants, were selected at Cheonancheon, Gokgyocheon, Maegokcheon, Namwoncheon, Oncheoncheon. The various water quality improving plans for those tributaries, in accordance with the reduction of point source pollution by population and livestock, should be established and implemented.

• Journal of Korean Society on Water Environment
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• v.35 no.3
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• pp.209-223
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• 2019

Broadly speaking, in order to analyze the water quality improvement effects of the implementation of the Total Water Pollutant Management System in the Sapgy-Lake waterways, a reference was made to the [Plans for implementation of the Total Maximum Daily Load(TMDL)] in 3 cities (Cheonan, Asan, Dangjin). The results of the investigation into the plans to reduce the pollutant load show in that region show that there are plans to reduce pollution for a total of 16 reduction facilities. As for the result of the computation of the reduction in the load, these measurements were computed at the Gokgyo-stream basin and Namwon-stream basin, with BOD and T-P at the Gokgyo-stream basin reduced by 13.9 % and 13.3 %, respectively, while BOD and T-P at the Namwon-stream were reduced by 3.7 % and 3.3 %, respectively. In this way, thus using the results of the water quality forecast of Sapgyo-Lake in measures for the improvement of water quality (in accordance with the implementation of the TMDL), and using the QUAL-MEV model and EFDC model, it is noted that BOD will be improved by 26.4 % from 6.1 mg/L to 4.5 mg/L 0.0 %, T-P by 36.7 % from 0.168 mg/L to 0.107 mg/L and TOC by 26.4 % from 7.7 mg/L to 5.6 mg/L. However, it is forecasted that the targeted standards for the medium influence area will not be achieved. Evidently, Gokgyo-stream and Namwon-stream have been implementing the Total Water Pollutant Management System for the BOD items since January 1, 2019, but the Sapgyo-stream and Muhan-stream were excluded from being designated as subject regions. As such, it is noted now that it is necessary to implement the TMDL for the entire Sapgyo-Lake water systems including Sapgyo-stream and Muhan-stream in order to improve the water quality of Sapgyo-Lake, and likewise the T-P should be designated as the substance subjected to management in addition to BOD.

• Journal of Wetlands Research
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• v.15 no.4
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• pp.555-566
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• 2013

Total maximum daily load enforced in 2004 is a program to evaluate the amount of pollutants by each land use type and manage to meet a target water quality of each waterbody. The many research to calculate runoff load of pollutants by landuse type have been studied. This study was conducted to calculate pollutants EMC, load and unit load in stormwater runoff generated from tomato growing area. Monitoring was conducted about 32 event during 4years and water quality parameters such as BOD, $COD_{Mn}$, TOC, TSS, TN, TP, $NH_3-N$, $NO_3-N$, $PO_4-P$ were analyzed at the laboratory. The average EMC were measured as follows: 9.6 BOD mg/L, 17.2 $COD_{Mn}$ mg/L, 5.5 TOC mg/L, 319.4 TSS mg/L, 4.4 T-N mg/L, 2.6 T-P mg/L, 0.5 $NH_3-N$ mg/L, 0.04 $NO_2-N$ mg/L, 2.6 $NO_3-N$ mg/L, 0.8 $PO_4-P$ mg/L. TN and TP is dichargeed as $NO_3-N$ and particle phosphorus type, respectively.

• Journal of Wetlands Research
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• v.24 no.1
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• pp.38-43
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• 2022

Smart sewage treatment plant means creating a safe and clean water environment by establishing an ICT-based real-time monitoring, remote control management and intelligent system for the entire sewage treatment process. The core technology of such a smart sewage treatment plant can be operation control technology using measuring instruments. This research team analyzed and suggested the operation control technologies necessary for the establishment of the intelligent business by referring to the intelligent research projects of the sewage treatment plant in progress in Korea. As a result of the analysis, a total of six removal technologies were presented, including control by scale, reflow water control, linked treated water control, chemical quantity control, winter operation control, and total organic carbon control. By size, standards that can be classified into small and medium-sized large-scale are presented, and in the case of reflow water control, the location of water quality and flow sensors capable of managing reflow water is suggested. In the case of the linked treated water control, the influence and control points of the linked treated water on the sewage treatment plant were presented, and in the case of the chemical injection volume control, a system capable of optimizing the amount of chemical injection according to the introduction of an intelligent sewage treatment plant was presented. In the case of winter operation, the sensors and pumps to be controlled are suggested when considering the decrease in nitrification due to the decrease in water temperature. In the case of total organic carbon control, an interlocking system considering the total amount of pollution in the future was proposed. These operation control scenarios are expected to be used as basic data to be used in intelligent sewage treatment algorithms and scenarios in the future.