• Journal of Sasang Constitutional Medicine
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• v.28 no.4
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• pp.361-371
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• 2016

Objective This case study was about a long-term clinical effects after using Korean medicine treatment and western treatment in three Soyangin patients with Parkinson's disease. In this study, we reported significant improvement of non-motor and motor symptoms of these patients after Sasang constitutional medicine treatments for more than a year. Method The patients were identified as Soyangin and treated with Yangguksanhwa-tang, Hyeongbangdojeok-san and acupuncture. The Hoehn & Yahr scale, Movement Disorder Society-sponsored revision of the Unified Parkinson's Disease Rating Scale (UPDRS) were used to assess the overall function of the patients. And the Global Assessment Scale (GAS) was used to assess the change of chief complaints after the treatments. Result and Conclusion The non-motor and motor symptoms of Parkinson's disease improved after Sasang constitutional medicine and western medicine treatments for more than a year. Furthermore these patients' chief complaints improved without increasing of amount of western medicine (levodopa). In conclusion, this study showed that Sasang constitutional medicine with western medicine can be effective treatment for long-term clinical care of Parkinson's disease.

• Journal of Wetlands Research
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• v.21 no.3
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• pp.236-243
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• 2019

Hydrologic time series has been analyzed and forecasted by using classical linear models. However, there is growing evidence of nonlinear structure in natural phenomena and hydrologic time series associated with their patterns and fluctuations. Therefore, the classical linear techniques for time series analysis and forecasting may not be appropriate for nonlinear processes. Daily streamflow series at St. Johns river near Cocoa, Florida, USA showed an interesting result of a low dimensional, nonlinear dynamical system but daily inflow at Soyang reservoir, South Korea showed stochastic property. Based on the chaotic dynamical characteristic, DVS (deterministic versus stochastic) algorithm is used for short-term forecasting, as well as for exploring the properties of the system. In addition to the use of DVS algorithm, a neural network scheme for the forecasting of the daily streamflow series can be used and the two techniques are compared in this study. As a result, the daily streamflow which has chaotic property showed much more accurate result in short term forecasting than stochastic data.

• Journal of Korea Water Resources Association
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• v.54 no.3
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• pp.157-166
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• 2021

Forecasting dam inflow based on high reliability is required for efficient dam operation. In this study, deep learning technique, which is one of the data-driven methods and has been used in many fields of research, was manipulated to predict the dam inflow. The Long Short-Term Memory deep learning with Sequence-to-Sequence model (LSTM-s2s), which provides high performance in predicting time-series data, was applied for forecasting inflow of Soyang River dam. Various statistical metrics or evaluation indicators, including correlation coefficient (CC), Nash-Sutcliffe efficiency coefficient (NSE), percent bias (PBIAS), and error in peak value (PE), were used to evaluate the predictive performance of the model. The result of this study presented that the LSTM-s2s model showed high accuracy in the prediction of dam inflow and also provided good performance for runoff event based runoff prediction. It was found that the deep learning based approach could be used for efficient dam operation for water resource management during wet and dry seasons.

• Journal of Korea Water Resources Association
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• v.55 no.7
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• pp.495-504
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• 2022

With the recent development of artificial intelligence, a Long Short-Term Memory (LSTM) model that is efficient with time-series analysis is being used to increase the accuracy of predicting the inflow of dams. In this study, we predict the inflow of the Soyang River dam, using the LSTM model with the Sequence-to-Sequence (LSTM-s2s) and attention mechanism (LSTM-s2s with attention) that can further improve the LSTM performance. Hourly inflow, temperature, and precipitation data from 2013 to 2020 were used to train the model, and validate and test for evaluating the performance of the models. As a result, the LSTM-s2s with attention showed better performance than the LSTM-s2s in general as well as in predicting a peak value. Both models captured the inflow pattern during the peaks but detailed hourly variability is limitedly simulated. We conclude that the proposed LSTM-s2s with attention can improve inflow forecasting despite its limits in hourly prediction.

• Journal of Korean Society of Disaster and Security
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• v.14 no.4
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• pp.37-45
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• 2021

Flooding damage may occur due to an unexpected increase in rainfall in summer. Previously, the roughness coefficient, which is a major factor of conveyance, was calculated through on-site measurement, but in case of on-site measurement, there are many limits in accurately grasping changes in vegetation. In this study, the vegetation index (NDVI) was calculated using the Sentinel-2 optical images, and the modified roughness coefficient was calculated through the density and distribution area of the vegetation. Then the calculated roughness coefficient was applied to HEC-RAS 1D model and verified by comparing the results with the water level at the water level station directly downstream of the Soyang River dam. As a result, the error rate of the water level decreased about 14% compared to applying the previous roughness coefficient. Through this, it is expected that it will be possible to refine the flood level of rivers in consideration of seasonal flood characteristics and to efficiently maintain rivers in specific sections.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.502-502
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• 2023

지난 140여년(1880~2022)간 지구의 연평균 기온은 약 1.5℃ 상승하였다. 이에 따라 폭염, 홍수, 가뭄 등 이상기후 발생이 급증하고 있으며, 생태계가 급격히 변화하여 담수호의 산소량 또한 급속히 감소하고 있다. 소양호는 총길이 60 km, 유역면적 2.703 km², 최대저수량 29억톤으로, 유역면적은 북한강 유역의 25%에 달하며 북한강 상류에 위치하고 있는 국내 최대의 인공호이다. 따라서 소양호 유역의 관리는 북한강 유역의 수질 관리와 수도권 수자원 공급의 핵심 중 하나라고 볼 수 있다. 그러나 기후변화에 따라 소양호의 성층현상에도 변동이 생겼을 것으로 판단되고 있다. 호소의 성층현상은 수심에 따른 온도의 변화로 발생하는 현상으로, 성층현상이 심하면 유체는 연직운동이 제한되고 상대적으로 수평방향 운동이 활발해진다. 소양호는 수심이 매우 깊으며, 열용량이 크기 때문에 여름에 성층이 형성되는 온대일순환호(warm monomictic lake)로 분리된다. 성층현상이 심하면 호소 하부의 저층에서는 용존산소가 거의 없어 혐기성 상태가 되고, 침전된 유기물이 혐기성 미생물에 의해 분해되기 때문에 수질은 크게 악화된다. 따라서 본 연구는 30년간의 소양호의 수온과 DO의 변동을 분석하여 성층현상의 변동성을 파악하고자 하였다. 이에 따라 약 30년간(1993년 1월~2022년 12월) 0~90 m까지 측정한 수온, DO 데이터를 이용하였다. 데이터는 매달 최소 1회~최대 5회 측정된 자료 중 가장 수심이 깊게 측정된 날의 자료를 이용하였다. 1월과 2월의 데이터는 동절기로 인해 소양호 조사를 실시할 수 없어 제외하였다. 수온의 경우 30년간 서서히 증가하는 경향을 보였으며 0~90m 전반에 걸쳐서도 대체로 증가하는 경향을 보였다. 또한 6월에 성층현상이 더 심해지고, 겨울에는 연직운동이 감소하는 모습을 보였다. DO의 경우 용존산소가 중층에서 최저를 보이는 Metalimnetic oxygen minimum을 보였으며, 2008년까지는 거의 매년 농도 2.0mg/L 이하인 달이 있었으나 그 이후에는 회복되어 대부분 2.0 mg/L 이상을 보였다. 그러나 심층의 경우에는 2014년부터 DO 농도 3 미만으로 떨어지는 경우가 증가하였다.

• The Journal of Korean Obstetrics and Gynecology
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• v.22 no.1
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• pp.191-202
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• 2009

Purpose: This research is to investigate the needling Depth for Deqi based onone's age, weight, and the level of obesity and the different Deqi sensation in Chung-wan and Kwan-wan. Methods: We took a research on Deqi for the 123 patients who visited a local Korean Medicine clinic at random. The variants were the age, the weight, thetotal fat rate, the waist-hip rate, BMI, the weight size, and the Sasang constitution. Result: Older patients need more depth of Deqi in Chung-wan and Kwan-wan compared to the younger ones. The higher the level of obesity(weight, total body fat rate, the waist-hip rate, BMI) goes up, the more Deqi in Chung-wan and Kwan-wan goes deeply. As the level of obesity goes down in the order of Taeeum-in, Soyang-in, Soeum-in, the depth of Deqi also decreases in Chung-wan and Kwan-wan. Deqi in Chung-wan is the feeling of pressure around the acu-point, and Deqi in Kwan-wan is the feeling that it spreads out to the upper, lower, the right, and the left side of the acu-point. Conclusion: In case of Needling Depth for Deqi on Chung-wan and Kwan-wan, that increases or decreases as the age, the level of obesity(the physique), and the Sasang constitution changes.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.436-436
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• 2021

강원도 춘천시에 위치한 소양호는 북한강 상류수계로서 1973년에 준공된 우리나라 최대의 인공호이다. 소양호는 준공 이후 주변 유역의 인구밀집도가 낮고 오염물질 유입원이 적어 빈영양호의 수질을 보였다. 준공 후 소양호 수질에 영향을 미친 주요 환경요인으로는 1980-90년대 가두리 양식, 1990년대 후반부터 현재까지 지속되는 문제는 상류에서 강우시 발생된 탁수유입이 있다. 이러한 환경 문제로, 소양호에서는 식물플랑크톤 일차생산력, 동물플랑크톤 및 식물플랑크톤 장기변동, 용존산소 일주기 변동, 호수 내 유기물 분포 등의 연구가 이루어져 왔다. 그러나 가두리 양식장의 철거로 한 가지 요인은 해결되었으나 상류 탁수 유입 문제는 현재까지 진행 중이다. 소양호에서는 매해 여름철 탁수 유입이 지속적으로 발생하고 있으며 부영양화를 초래할 수 있는 주요한 문제이다. 이에 본 연구는 소양호에서의 장기적인 생태계 변동성 연구를 위해 1982년부터 현재까지 월 1-4회 수질 모니터링을 실시 중이며, 수질항목은 SS(Suspended Solids), TN(Total Nitrogen), TP(Total Phosphorus), BOD(Biochemical Oxygen Demands), TOC(Total Organic Carbon), Chl-a(Chlorophyll-a)에 대해 분석을 진행하고 있다. 기존 연구에서는 주-월 단위로 모니터링을 실시하여 강우에 의한 탁수 유입, 타 오염원에 의한 오염물질 및 유기물 유입으로 인한 실시간 수질 변동을 파악할 수 없었으며, 이벤트 발생 이후의 경과만 관찰할 수 있는 한계점이 있었다. 그러나 앞으로의 진행될 연구는 고빈도 센서를 이용하여 실시간 짧은 간격으로 모니터링하여 소양호 수질의 일주기 변동 분석과 오염원 유입과 같은 이벤트 발생 전·후 비교 및 실시간 수질변동에 대해 연구하는 것이며, 기존 데이터와 함께 진행될 연구의 데이터를 활용하게 된다면 소양호에서의 장기적인 수질 변화를 분석하는 데 효과적일 것으로 예상된다.

• Journal of Korean Medical classics
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• v.37 no.2
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• pp.11-30
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• 2024

Objectives : Not many studies have been done on the mechanism of the Gangeum or Gangpyoeum method which treats the Soyang Exterior Pattern, nor on which collective or individual roles the Gangeum medicinals play. Therefore in this study, four medicinals categorized as Gangpyoeum which are Jingjie, Fangfeng, Qianghuo, Duhuo, were analyzed in terms of their individual and collective effects. Methods : Content analysis based on the verses in the Donguisusebowon, and medicinal analysis on contents from the Donguibogam, Bencaogangmu, and Benjingshuzheng were carried out followed by a medicinal combination analysis using the InSAm 1.1 program. Results : The four medicinals Jingjie, Fangfeng, Qianghuo, Duhuo had the common effect of normalizing the Wei qi, allowing for unobstructed Qi flow to prevent production of dampness and phlegm, which ultimately lowers Yin[降陰, gangeum] and helps to preserve the Kidney Yin Qi. Jingjie works at the highest position of the upper body; Fangfeng, the most basic medicinal of the Soyangin pattern, works mostly at the upper body although it defends the entire body from wind-dampness. Qianghuo and Duhuo are more or less similar. The difference is that Qianghuo mostly pulls Yang qi upwards while eliminating pathological byproducts, and Duhuo stabilizes the lower body that pulls Wei qi upwards. Conclusions : Analysis on the relationship between Gangpyoeum of the Soyangin pattern and Wei qi, the individual and collective effects of the four Gangpyoeum medicinals were carried out. Further research on other major Soyangin medicinals, along with those of other constitution patterns is anticipated.

• Korean Journal of Environmental Biology
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• v.24 no.3
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• pp.248-257
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• 2006

Total naturalized plant species in the streams of Jeonju were listed as 109 taxa; 24 families, 75 genera, 106 species, 3 varieties. Dividing by stream, Jeonju stream has 75 taxa; 20 families, 55 genera, 73 species, 2 varieties. Samcheon stream has 86 taxa; 19 families, 64 genera, 84 species, 2 varieties. Soyang stream has 80 taxa; 21 families, 60 genera, 77 species, 3 varieties. Urbanization Index (UI) of total streams (109 taxa) was 40.2%. UI was 27.7% in Jeonju stream (75 taxa), 31.7% in Samcheon stream (86 taxa), 29.5% in Soyang stream (80 taxa). Dividing by degree of naturalization classification, 25 taxa (9.2%) were found in class 5, 17 taxa (6.2%) in class 4, 32 taxa (11.8%) in class 3, 27 taxa (9.9%) in class 2 and 8 taxa (2.9%) in class 1. Dividing by introduction period, 48 taxa (44%) aye in period I, 19 taxa (17%) in period II, 42 taxa (39%) in period III. Dividing by growth type, 48 taxa (44%) are annuals, 25 taxa (23%) are biennials, 33 taxa (30%) are perennials. Dividing by the place of origin, 39 taxa (35%) are from Euyope, 33 taxa (30%) from North America, 11 taxa (10%) from Tropic America, 9 taxa (8%) from Europe Asia,5 taxa (5%) from South America, 5 taxa (5%) from China.