• Journal of Korean Society of Rural Planning
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• v.26 no.2
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• pp.51-59
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• 2020

In this study, we analyzed the characteristics of 511 agricultural districts through statistical data, and classify these districts as the vulnerable area to drought through correlation and cluster analysis. The criteria for classification was related to ground-water recharge, irrigation water demand, and water supply. As a result, 8 types of agricultural districts were extracted. For example, the type 1 indicated the high priority area for ground-water development, thus the districts which were classified as type 1 showed ground-water use was less than 80 % of maximum capacity, and irrigation water supply was only 37.5 % and 76.5 % of irrigation water demand in upland and paddy field, respectively. As a result, 44 of 511 districts were classified as type 1.36 districts (types 5-8) were areas where groundwater development is limited. The results of this study are expected to provide useful information for establishing the direction of the rural area development project in connection with the revitalization of policy of people return to rural area.

• Earthquakes and Structures
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• v.27 no.2
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• pp.83-95
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• 2024

The prediction of seismic behavior of the existing building stock is one of the most impactful and complex problems faced by countries with frequent and intense seismic activities. Human lives can be threatened or lost, the economic life is disrupted and large amounts of monetary reparations can be potentially required. However, authorities at a regional or national level have limited resources at their disposal in order to allocate to preventative measures. Thus, in order to do so, it is essential for them to be able to rank a given population of structures according to their expected degree of damage in an earthquake. In this paper, the authors present a ranking approach, based on Machine Learning (ML) algorithms for pairwise comparisons, coupled with ad hoc ranking rules. The case study employed data from 404 reinforced concrete structures with various degrees of damage from the Athens 1999 earthquake. The two main components of our experiments pertain to the performance of the ML models and the success of the overall ranking process. The former was evaluated using the well-known respective metrics of Precision, Recall, F1-score, Accuracy and Area Under Curve (AUC). The performance of the overall ranking was evaluated using Kendall's tau distance and by viewing the problem as a classification into bins. The obtained results were promising, and were shown to outperform currently employed engineering practices. This demonstrated the capabilities and potential of these models in identifying the most vulnerable structures and, thus, mitigating the effects of earthquakes on society.

• Journal of the Korean association of regional geographers
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• v.20 no.2
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• pp.206-216
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• 2014

In this study, forest types in Chungheongnam-do were analyzed using Landsat satellite images and digital forest type map as a means to estimate forest carbon stocks. NDVI and Tasseled Cap, ISODATA, and supervised classification among others were used to analyze the forest types. The forest carbon stocks of Chungcheongnam-do were estimated utilizing forest statistical data derived from the classified results. The results indicate that the analysis of forest types through supervised classification yielded the highest overall accuracy in analyzing forest types using satellite images. Coniferous forests(49.3%) accounted for the highest proportion in all the forest types of Chungcheongnam-do, followed by deciduous forests(28.0%) and mixed forests(22.7%). The results of a comparative analysis between forest carbon stocks estimates made using the modified digital forest type map and other estimation methods showed that the method using Tasseled Cap and unsupervised classification yielded the most similar forest carbon stock estimates. The most significant difference, though, was made when only the digital forest type map was used. It is expected that if carbon stocks are estimated by integrating satellite images and digital forest type maps in the future, more accurate results can be derived in estimating forest carbon stocks at a national level.

• Proceedings of the Korean Geotechical Society Conference
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• 2008.03a
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• pp.563-574
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• 2008

Most of earthquake-induced geotechnical hazards have been caused by the site effects relating to the amplification of ground motion, which are strongly influenced by the local geologic conditions such as soil thickness or bedrock depth and soil stiffness. In this study, an integrated GIS-based information system for geotechnical data, called geotechnical information system (GTIS), was constructed to establish a regional counterplan against earthquake-induced hazards at an urban area, Daejeon, which is represented as a hub of research and development in Korea. To build the GTIS for the area of interesting, pre-existing geotechnical data collections were performed across the extended area including the study area and a walk-over site survey was additionally carried out to acquire surface geo-knowledge data. For practical application of the GTIS used to estimate the site effects at the area of interesting, seismic microzoning map of the characteristic site period was created and presented as regional synthetic strategy for earthquake-induced hazards prediction. In addition, seismic zonation for site classification according to the spatial distribution of the site period was also performed to determine the site amplification coefficients for seismic design and seismic performance evaluation at any site in the study area. Based on the case study on seismic zonations at Daejeon, it was verified that the GIS-based GTIS was very useful for the regional prediction of seismic hazards and also the decision support for seismic hazard mitigation.

• Journal of the Korean Regional Science Association
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• v.32 no.2
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• pp.15-29
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• 2016

Suburbs rural areas in the Capital region have been diversified by the influence of the Seoul and large cities for the last 10 years. This study aims to classify suburban rural areas and to analyze the differentiated characteristics of different types in order to propose more area-specific policy approach to suburban rural areas in the Capital region. Using the cluster analysis method, the suburban rural areas in the Capital region have been classified into four types; garden villages in rural areas, urbanization areas, agricultural-industrial mixed use areas, general rural areas. The result of this study shows that the four types of suburban rural areas are much differentiated one another in terms of internal characteristics and local dynamics and problems. In order to suburban rural sustainable development in the Capital region, the policy efforts should be address the area-specific problems and policy demand for each type of suburban rural areas.

• Journal of Korea Water Resources Association
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• v.53 no.spc1
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• pp.743-753
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• 2020

In this study, research trends in the water resources in Korea were analyzed to present regional customization and optimal operation management of groundwater resources. Detailed classification fields were determined in the water and groundwater resources. Through the analysis of examples and trends of research related to water resources and underground water resources, three improvements were presented: securing sites for long-term observable research area, evaluating water resources based on spatial units, and not reflecting the characteristics of watersheds in acts and ordinances. The research results of this study are expected to be the basis for policy judgment in determining the groundwater management policy after the group of groundwater management policy makers at the research site can identify the requirements.

• Journal of the Korean association of regional geographers
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• v.12 no.3
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• pp.408-420
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• 2006

The present study purposed to examine the possibility of developing historicity inherent in places into tourism resources from the view that the history and location of historical cities have the nature of cultural contents. Previous researches on tourism have been focused on tourist facilities, the development of tourist attractions, economic effects, cultural policies, etc. However, the present study makes a cultural approach to historical cities to explore the meaning of places formed through history and the historicity of places, assuming that the temporal and spatial characteristics of Hanseong-bu can be developed into tourism resources. Major places of Hanseong-bu are classified according to their functions and cultural meanings, and these factors are associated with the geographical structure of the area. By landform and cultural characteristics during the Chosun Dynasty, Hanseong-bu is divided into the central part, the boundary area, and the outskirts. In addition, different elements, which can be developed into tourism resources, are found according to the landscape of Hanseong-bu, the character as a dynastic city, the environs inside the wall, and differences among localities reflecting pre-modem lifestyle.

• The Korean Journal of Pain
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• v.34 no.3
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• pp.322-331
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• 2021

Background: The present study employed National Health Insurance Data to explore complex regional pain syndrome (CRPS) updated epidemiology in a Korean context. Methods: A CRPS cohort for the period 2009-2016 was created based on Korean Standard Classification of Diseases codes alongside the national registry. The general CRPS incidence rate and the yearly incidence rate trend for every CRPS type were respectively the primary and secondary outcomes. Among the analyzed risk factors were age, sex, region, and hospital level for the yearly trend of the incidence rate for every CRPS. Statistical analysis was performed via the chi-square test and the linear and logistic linear regression tests. Results: Over the research period, the number of registered patients was 122,210. The general CRPS incidence rate was 15.83 per 100,000, with 19.5 for type 1 and 12.1 for type 2. The condition exhibited a declining trend according to its overall occurrence, particularly in the case of type 2 (P < 0.001). On the other hand, registration was more pervasive among type 1 compared to type 2 patients (61.7% vs. 38.3%), while both types affected female individuals to a greater extent. Regarding age, individuals older than 60 years of age were associated with the highest prevalence in both types, regardless of sex (P < 0.001). Conclusions: CRPS displayed an overall incidence of 15.83 per 100,000 in Korea and a declining trend for every age group which showed a negative association with the aging shift phenomenon.

• Journal of Korean Biological Nursing Science
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• v.23 no.2
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• pp.138-150
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• 2021

Purpose: This retrospective study aimed to investigate nursing interventions in patients with severe thoracic injury in trauma bay of a regional trauma center. Methods: Of the 1,780 patients admitted to the trauma bay of a regional trauma center in a university hospital in the Gyeonggi Province between January 1, 2019 and December 31, 2019, 120 adult patients with severe thoracic injury who met the inclusion criteria were enrolled. Participants' clinical characteristics and nursing interventions were collected from electronic medical records after receiving ethical approval. Nursing interventions were classified using the terminology in the Nursing Intervention Classification. Results: The mean age of participants was 52.25 years and 72.5% of participants were male. The main areas of thoracic injury included lung parenchyma and pleura (95.8%). The mean Abbreviated Injury Scale (AIS) for thoracic injury was 3.13 and the mean Injury Severity Score (ISS) was 17.81. Fluid resuscitation, invasive hemodynamic monitoring, chest tube care, respiratory monitoring, artificial airway management, gastrointestinal tube care, mechanical ventilation management: airway insertion and stabilization, blood product administration, allergy management, and surgical preparation were performed significantly more frequently in thoracic injury patients with unstable vital signs or a higher AIS score. Conclusion: This study is significant as it investigated the types of nursing interventions given to patients with severe thoracic injury in the trauma bay. These results would contribute to developing more detailed educational materials for initial nursing interventions in trauma bay.

• Journal of the Society of Disaster Information
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• v.20 no.2
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• pp.448-461
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• 2024

Purpose: The purpose of this study is to establish a life zone class suitable for Korean characteristics in the post-COVID-19 era and to classify the types for the installation and operation of living SOC facilities. Method: The concept of the life zone was established through policies and previous studies related to the life zone, and data in various fields such as population, employment, transportation, economy, and education were classified using the z-score technique. Result: Korea's life zones can be classified into metropolitan life zones, regional life zones, urban life zones, village life zones, and neighborhood life zones, and depending on their roles, they can be classified into central life zones, workplace-residential balanced life zones, residential life zones, industrial life zones, and low-density life zones. Conclusion: The results of this study show that proper life zone establishment and proper living SOC supply can prevent the decline of underdeveloped areas and contribute to balanced regional development