• (The)Study of the Eastern Classic
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• no.37
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• pp.547-576
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• 2009

Iching has been taught people wisdoms of Sijung since it appeared in oriental society thousands years ago. Sijung means each of us meets the change of the present situation reasonably and practices the timely truth. The current society we've been living is infra-structured by various kinds of visible or invisible networks. This society is called 'network society' which is characteristic of inter-connectivity, interactivity, and complexity, etc. This thesis is to study whether and how the wisdoms of Iching can be helpful for behaviors in network society. For this, the meaning of several hexagrams and the new paradigm of network society were reviewed. Then, which hexagrams give what wisdoms to individuals, organizations, and difficult situations in network society was discussed. In network society, individuals are surfing internet, meeting, chatting, and making groups to implement meaningful works. To these, some hexagrams give wisdoms such as the ethics of rightness, the virtue of the mean. Organizations in network society should rebuild and reform inner suborganizations, cooperate with other organizations including citizen alliances, competing firms, and government organs. To these, some hexagrams give wisdoms such as faithfulness, considerateness, and completeness. Other hexagrams give also wisdoms such as neighborhood, non-selfishness, and self-discipline, to difficult situations lack in communication in network society.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.247-247
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• 2020

생태유량은 하천에 서식하는 동·식물 등의 서식처 조건을 고려하여 갈수시에도 최소한의 하천생태계가 유지될 수 있도록 하는 유량이다. 이는 하천의 적정유량으로 적용할 수 있는 생태적 기준의 하나이며 수생생물의 물리적 서식처 적합도를 이용하여 산정할 수 있다. 특히 하천 생태계의 먹이 사슬 상층부에 속하는 어류는 서식처의 물리적 조건에 민감하므로 적절한 유량을 보장해 주는 것이 중요하며, 이러한 이유로 생태유량 산정에 어류의 서식처 조건이 주로 이용된다. 본 연구에서는 다목적댐의 건설과 준설 및 매립 등으로 유황 변동과 하류 염해 피해 등에 의한 하구 생태계 변화 등을 겪고 있는 섬진강 수계를 대상으로 송정, 겸백, 화개 세 지점에 대해 생태유량을 산정하였다. 이 생태유량은 섬진강 수계에서는 직접 측정에 한계가 있어 금강에서 측정된 피라미의 서식처 적합도 지수를 이용하였고, 지점의 하상재료 및 환경 조건을 반영하여 PHABSIM을 이용하여 산정되었다. 그 결과 송정의 최적 생태유량은 8.5㎥/s, 겸백은 2.26㎥/s, 그리고 화개 지점은 36㎥/s로 산정되었다. PHABSIM을 이용한 생태유량 산정 값은 지점에 따라 다소 과대 추정되는 경향이 있기도 하지만, 섬진강 수계의 해수 침투 등에 의한 염해 피해 대책 마련 등을 위해서는 산정된 유지유량을 확보하기 위한 해결 방안이 제시되어야 할 것으로 판단된다.

• Journal of Korean Biological Nursing Science
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• v.22 no.2
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• pp.119-126
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• 2020

Purpose:Weight gain after kidney transplantation is a critical factor that can lead to poor outcomes with cardiovascular complications. Many studies have been conducted to identify predictive markers of future weight changes at the time of transplant. Recently, circulating exosomes and its contents including miRNAs and proteins have attracted attention as potential biomarkers. In this pilot study, we investigated exosomal proteins and weight change after kidney transplant. Methods: Recipients (n = 10) were classified into two groups; weight gainers (n = 5, 9.7 ± 4.4kg) and weight losers (n = 5, -6.4 ± 1.8kg) based on their weight changes at 12-months posttransplant. Based on the exosomal protein profiles obtained by the LC-MS/MS, differentially expressed proteins were identified between the groups. Results: Concentration and the mean size of exosomes significantly increased at 12-months compared to the baseline (p= .009) in the total group. Eleven exosomal proteins were found at the baseline as differentially expressed between the two groups. In the weight gain group, complement proteins including HV169, C3, C4B, and C4A, were significantly upregulated. Conclusion: Our pilot study suggests that exosomal complementary proteins are associated with weight gain after kidney transplantation. Further studies are needed to clarify the role of these exosomal proteins in the underlying mechanisms of weight changes in kidney transplant recipients.

• Journal of Korea Water Resources Association
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• v.52 no.10
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• pp.707-718
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• 2019

The optimal water allocation pursues a reliable and economic supply of water resources to meet various interests in socio-economic-environmental aspects. The global water shortage has intensified due to climate change and population growth with limited water resources. Thus, the water management scheme has shifted to improve water use efficiency by proper demand management and water allocation planning. Here, a hydro-economic water allocation model, called WAMM (Water Allocation and Management Model) is introduced. The WAMM is equipped with an improved linear programming algorithm for optimal water allocation and estimates economic value of water supply as an objective of water

• Journal of Wetlands Research
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• v.21 no.spc
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• pp.1-8
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• 2019

River works for water utilization have substantially altered the natural flow regime, and it has resulted in deformation of healthy river ecosystems. In Korea, river restoration projects have conducted actively since 1990's. Major purposes of the river restoration are the rehabilitation of modified river channel, improvement of water quality, and creation of aquatic habitats as well as recreational spaces using natural material for river work. However, there have been little interests about the restoration of flow regime which influences to most aspects of river ecosystems. The restoration of natural flow regime has received much attention in preservation of aquatic ecosystems. It should be needed to explore the relationship between flow regime and river ecosystems, and the restoring flow regime is essential. This paper introduce the concept of environmental flow through the interrelation between flow regime and river ecosystem. It provides rolls of flow regime and addresses the method of establishing target flow regime using the RVA(Range of Variability Approach) that suggested by Richter et al.(1997) through analysis of altered flow pattern case of Han river basin.

• Journal of Korea Water Resources Association
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• v.55 no.8
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• pp.589-601
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• 2022

Although drought is a natural phenomenon, its damage occurs in combination with regional physical and social factors. Especially, related to the supply and demand of various waters, drought causes great socio-economic damage. Even meteorological droughts occur with similar severity, its impact varies depending on the regional characteristics and water supply system. Therefore, this study assessed regional drought risk considering regional socio-economic factors and water supply system. Drought hazard was assessed by grading the joint drought management index (JDMI) which represents water shortage. Drought vulnerability was assessed by weighted averaging 10 socio-economic factors using Entropy, Principal Component Analysis (PCA), and Gaussian Mixture Model (GMM). Drought response capacity that represents regional water supply factors was assessed by employing Bayesian networks. Drought risk was determined by multiplying a cubic root of the hazard, vulnerability, and response capacity. For the drought hazard meaning the possibility of failure to supply water, Goesan-gun was the highest at 0.81. For the drought vulnerability, Daejeon was most vulnerable at 0.61. Considering the regional water supply system, Sejong had the lowest drought response capacity. Finally, the drought risk was the highest in Cheongju-si. This study identified the regional drought risk and vulnerable causes of drought, which is useful in preparing drought mitigation policy considering the regional characteristics in the future.

• Journal of Wetlands Research
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• v.26 no.2
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• pp.147-159
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• 2024

Lack of streamflow observations makes model calibration difficult and limits model performance improvement. Satellite-based remote sensing products offer a new alternative as they can be actively utilized to obtain hydrological data. Recently, several studies have shown that artificial intelligence-based solutions are more appropriate than traditional conceptual and physical models. In this study, a data-driven approach combining various recurrent neural networks and decision tree-based algorithms is proposed, and the utilization of satellite remote sensing information for AI training is investigated. The satellite imagery used in this study is from MODIS and SMAP. The proposed approach is validated using publicly available data from 25 watersheds. Inspired by the traditional regionalization approach, a strategy is adopted to learn one data-driven model by integrating data from all basins, and the potential of the proposed approach is evaluated by using a leave-one-out cross-validation regionalization setting to predict streamflow from different basins with one model. The GRU + Light GBM model was found to be a suitable model combination for target basins and showed good streamflow prediction performance in ungauged basins (The average model efficiency coefficient for predicting daily streamflow in 25 ungauged basins is 0.7187) except for the period when streamflow is very small. The influence of satellite remote sensing information was found to be up to 10%, with the additional application of satellite information having a greater impact on streamflow prediction during low or dry seasons than during wet or normal seasons.