• Journal of The Geomorphological Association of Korea
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• v.20 no.1
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• pp.21-33
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• 2013

Weight of evidence model was applied for potential mapping of mountainous wetland to reduce the range of the field survey and to increase the efficiency of operations because the surveys of mountainous wetland need a lot of time and money owing to inaccessibility and extensiveness. The relationship between mountainous wetland location and related factors is expressed as a probability by Weight of evidence model. For this, the spatial database consist of slope map, curvature map, vegetation index map, wetness index map, soil drainage rating map was constructed in Yeongnam area, Korea, and weights of evidence based on the relationship between mountainous wetland location and each factor rating were calculated. As a result of correlation analysis between mountainous wetland location and each factors rating using likelihood ratio values, the probability of mountainous wetlands were increased at condition of lower slope, lower curvature, lower vegetation index value, lower wetness value, moderate soil drainage rating. Mountainous Wetland Potential Index(MWPI) was calculated by summation of the likelihood ratio and mountainous wetland potential map was constucted from GIS integration. The mountain wetland potential map was verified by comparison with the known mountainous wetland locations. The result showed the 75.48% in prediction accuracy.

• Journal of Korean Academy of Nursing
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• v.23 no.1
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• pp.29-41
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• 1993

Relaxation technique is an independent nursing intervention used in various stressful situations. Relaxation techniques must be explored regarding relaxing imaginations used by the people in their traditional life experiences. So for Korean relaxation techniques to become culturally acceptable and effective imaginations of relaxation must be developed. The purpose of this study was to identify differences in relaxation levels of Koreans according to five relaxation imaginations and five groups and to analyze the factors influencing relaxation techniques for Korean people. The subjects were 38 hospitalized patients, 21 rural residents, 56 housewives, 16 researchers and 59 nursing students. Data were collected from September 4 to October 24, 1991 by interview or self-re-port questionnaires. The measurement tool was the graphic rating scale of relaxation levels. The data analysis was done by percent, ANOVA and Scheffe test using the SAS program. The. results of study are summerized as follows : 1. The relaxation level of Koreans was significantly different for the five relaxation imaginations (F=5.95, P=0.0001). Relaxation level of ‘after bathing imagination’ was 6.90, ‘in bed imagination’ was 6.55, ‘in the mountain imagination’ was 6.01, ‘snow and fireplace imagination’ was 5.84 and ‘at the seashore imagination’ was 5.80. As a result of the Scheffe test, ‘after bathing imagination’ was found to show a higher relaxation level than ‘at the sea-shore imagination’ ‘in the mountain imagination’ and ’snow and fireplace imagination(P〈.05). 2. The relaxation levels of the Koreans were not different for the five groups(F=1.26, P=0.29). 3. There were no differences in the relaxation level of the koreans according to sex, age, place of residence, place of residence during childhood, marital status, religion or educational status. In conclusion, Korean people prefer the ‘relaxation imagination of after bathing’ to western style relaxation imagination of ‘at the seashore imagination’ and ‘snow and fireplace imagination’.

• Journal of the Korean Institute of Landscape Architecture
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• v.41 no.3
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• pp.12-21
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• 2013

This paper deals with a comparative analysis of changes in cognition of city image of Daegu City, focusing on image of representative and environmental conditions. Two-questionnaire surveys were conducted to compare the change of image cognition between the last decades. Major results are: Firstly, the most frequent representative images of Daegu City were hot weather, Palgong Mountain, textile industry, etc. and representative places were Palgong Mountain, Dongsung-ro Street, E world(Woobang Land), etc. Compared to the results of year 2000, the frequency of apple, and textile industry were remarkably decreased. Secondly, mean scores of image rating for environmental conditions were comparatively high in human environment such as women, and kindness. By individual variables, accessibility to Daegu City, women, living environment such as shopping, showed higher mean scores. Generally, mean scores of 2011 survey were higher than that of 2000. Thirdly, major factors affecting city image were human environment, living environment, natural environment, and transportation environment, respectively. These results can be used as a basic data for strategies to improve higher brand image of Daegu City.

• Journal of Korean Tunnelling and Underground Space Association
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• v.4 no.4
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• pp.277-286
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• 2002

Most of the problems in dealing with the tunnel construction are the uncertainties and complexities of the stress conditions and rock strengths in ahead of the tunnel excavation. The limitations on the investigation technology, inaccessibility of borehole test in mountain area and public hatred also restrict our knowledge on the geologic conditions on the mountainous tunneling area. Nevertheless an extensive and superior geophysical exploration data is possibly acquired deep within the mountain area, with up to the tunnel locations in the case of alternative design or turn-key base projects. An appealing claim in the use of artificial neural networks (ANN) is that they give a more trustworthy results on our data based on identifying relevant input variables such as a little geotechnical information and biological learning principles. In this study, error back-propagation algorithm that is one of the teaching techniques of ANN is applied to presupposition on Rock Mass Ratings (RMR) for unknown tunnel area. In order to verify the applicability of this model, a 4km railway tunnel's field data are verified and used as input parameters for the prediction of RMR, with the learned pattern by error back propagation logics. ANN is one of basic methods in solving the geotechnical uncertainties and helpful in solving the problems with data consistency, but needs some modification on the technical problems and we hope our study to be developed in the future design work.

• Journal of the Korean Geotechnical Society
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• v.19 no.6
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• pp.39-47
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• 2003

Rockbursts are mainly caused by a sudden release or the stored strain energy in the rock mass. They have been the major hazard in deep hard rock mines but rarely occur in tunnels. Due to the short history and limited information on rockbursts, the topic has rarely been studied in Korea. Some cases of rockbursts, however, have been reported during construction of a mountain tunnel for waterway. This study focuses on analyzing data on rockbursts obtained from a TBM (Tunnel Boring Machine) tunnel and suggests methods for a comprehensive understanding on rockbursts. From the analysis of the field data of rockbursts, it was found that most rockbursts mainly occurred at the section between the tunnel face and the TBM operating room, and the rock bursting phenomena lasted up to 20 days after excavation in certain areas. The data also show that the bursting spots are located all around the tunnel surface including the face, the wall, and the roof, The maximum size of bursting spots is usually less than 100cm. This study also suggests new scale systems of brittleness and uniaxial compressive strength to evaluate the possible tendency for a rockburst. These systems are scaled based on the scale system of strain energy density. In addition, with these scale systems, this research shows that there are potentially higher tendencies for rockbursts in this specific tunnel. Moreover this research suggests that properties of rock and rock mass, RMR (Rock Mass Rating) value, tunneling method, excavating speed, and depth of tunnel have a strong correlation with rockbursts.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.314-314
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• 2023

Extreme climate events can have a large impact on human life by hampering social, environmental, and economic development. Global circulation models (GCMs) are the widely used numerical models to understand the anticipated future climate change. However, different GCMs can project different future climates due to structural differences, varying initial boundary conditions and assumptions about the physical phenomena. The multi-model ensemble (MME) approach can improve the uncertainties associated with the different GCM outcomes. In this study, a comprehensive rating metric was used to select the best-performing GCMs out of 11 CMIP5 and 13 CMIP6 GCMs, according to their skills in terms of four temporal and five spatial performance indices, in replicating the 21 extreme climate indices during the baseline (1975-2017) in South Korea. The MME data were derived by averaging the simulations from all selected GCMs and three top-ranked GCMs. The random forest (RF) algorithm was also used to derive the MME data from the three top-ranked GCMs. The RF-derived MME data of the three top-ranked GCMs showed the highest performance in simulating the baseline extreme climate which was subsequently used to project the future extreme climate indices under both the representative concentration pathway (RCP) and the socioeconomic concentration pathway scenarios (SSP). The extreme cold and warming indices had declining and increasing trends, respectively, and most extreme precipitation indices had increasing trends over the period 2031-2100. Compared to all scenarios, RCP8.5 showed drastic changes in future extreme climate indices. The coasts in the east, south and west had stronger warming than the rest of the country, while mountain areas in the north experienced more extreme cold. While extreme cold climatology gradually declined from north to south, extreme warming climatology continuously grew from coastal to inland and northern mountainous regions. The results showed that the socially, environmentally and agriculturally important regions of South Korea were at increased risk of facing the detrimental impacts of extreme climatology.

• Korean Journal of Agricultural and Forest Meteorology
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• v.8 no.1
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• pp.36-44
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• 2006

In this study, we constructed a forest fire danger map in the Yeongdong area of Gangwon-do and Northeastern area of Gyeongsangbuk-do using a forest fire rating model and geographical information system (GIS). We investigated the appropriate positions of the automatic weather station (AWS) and a comprehensive network solution (a system including measurement, communication and data processing) for the establishment of an optimum mountain meteorological observation network system (MMONS). Also, we suggested a possible plan for combining the MMONS with unmanned monitoring camera systems and wireless relay towers operated by local governments and the Korea Forest Service for prevention of forest fire.

• Journal of the Korean Association of Geographic Information Studies
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• v.22 no.3
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• pp.21-36
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• 2019

Dead fuel moisture content is a key variable in fire danger rating as it affects fire ignition and behavior. This study evaluates simple regression models estimating the moisture content of standardized 10-h fuel stick (10-h FMC) at three sites with different characteristics(urban and outside/inside the forest). Equilibrium moisture content (EMC) was used as an independent variable, and in-situ measured 10-h FMC was used as a dependent variable and validation data. 10-h FMC spatial distribution maps were created for dates with the most frequent fire occurrence during 2013-2018. Also, 10-h FMC values of the dates were analyzed to investigate under which 10-h FMC condition forest fire is likely to occur. As the results, fitted equations could explain considerable part of the variance in 10-h FMC (62~78%). Compared to the validation data, the models performed well with R2 ranged from 0.53 to 0.68, root mean squared error (RMSE) ranged from 2.52% to 3.43%, and bias ranged from -0.41% to 1.10%. When the 10-h FMC model fitted for one site was applied to the other sites, $R^2$ was maintained as the same while RMSE and bias increased up to 5.13% and 3.68%, respectively. The major deficiency of the 10-h FMC model was that it poorly caught the difference in the drying process after rainfall between 10-h FMC and EMC. From the analysis of 10-h FMC during the dates fire occurred, more than 70% of the fires occurred under a 10-h FMC condition of less than 10.5%. Overall, the present study suggested a simple model estimating 10-h FMC with acceptable performance. Applying the 10-h FMC model to the automatic mountain weather observation system was successfully tested to produce a national-scale 10-h FMC spatial distribution map. This data will be fundamental information for forest fire research, and will support the policy maker.

• Journal of Korean Society of Rural Planning
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• v.24 no.3
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• pp.87-96
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• 2018

While cities became bigger and bigger since 1990s, many indiscretely high buildings started to be built in the mountain areas inside a city and in the rural areas in the suburb of each city. To regulate such indiscrete developments, the government prepared for some relevant legal and institutional criteria by having enacted the "Landscape Act" and established a strong management means in the legal and institutional aspects by having introduced the natural landscape deliberation system and the landscape deliberation one into the "Natural Environment Conservation Act." However, since some uniform levels of absolute height and no. of stories are suggested legally and institutionally, it is hard to consider the effects of a real building structure onto the relevant landscape. Accordingly, this thesis is intended to grasp the contrast of the landscape elements in the allowable height section, which is presented through landscape sensitivity. As the results from the visual contrast rating on a small apartment complex located in Dangjin and a large scale of apartment complex in Seosan as the apartment complexes surrounded with natural landscapes that were selected as the subjects of this study, the following conclusion can be finalized. First, there were deducted some factors, that is, forms, lines, colors, textures and sizes as the ones with which can measure and evaluate the contrasting properties when a structure gets into a natural landscape. Second, in case of a small scale of apartment complex (in the foreground) compared to a large one (in the foreground), it was found that the contrasting properties were bigger. In addition, it was also found that the contrasting property of the landscape factor of the foreground compared to that of the middle one becomes bigger depending on a distance. Third, as the results from an evaluation on the contrasting properties of the landscape factor depending on the changes of each floor of a structure, it was found that the factors, that is, forms, lines, colors, textures and sizes are very significant. Among those factors, the factors, forms and lines in a small scale of apartment complex (in the foreground) showed each log regression. But in all of the other cases, they showed each line regression. Fourth, as the results from examining the regression coefficients of the landscape factor, the coefficients of the shapes and lines have similar coefficients and the colors and the textures have similar ones, too. In case of the sizes of apartment complexes, the colors and the textures of a large apartment complex (in the foreground) have similar coefficients, in case of that in the middle ground, the shapes and lines have similar coefficients. Fifth, as the results from estimating the contrasting properties of the landscape factor on the floors within the allowed scope of the landscape sensitivity, it was found that the contrasting property was 3.5 to 4.9 in case of a small scale of apartment complex (in the foreground), but 2.5to 3.7 in case of a small scale of one. In case of a large scale of apartment complex, the value was 3.5 to 5.3, but in case of a large one in the middle ground was 2.9 to 4.9. Sixth, it was comprehended that the contrasting properties of the landscape factor become different depending on each size of apartment complex and the distance of a view point. In this study, it is intended to find the meaning from the aspect that the results can be used as the baseline data for comprehending a proper range of heights of structures objectively during a natural landscape deliberation or a landscape deliberation.

• Journal of the Korean Institute of Landscape Architecture
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• v.44 no.1
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• pp.29-39
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• 2016

The purpose of this study was to suggest the improvement of the Mountainous Landscape Impact Review(MLIR) system for the conservation and eco-friendly use of mountain scenery. In order to understand the status of the MLIR system, a comparative analysis was conducted of the MLIR official guidelines and the 100 MLIR reports submitted to the Korea Forest Service from 2011 to 2013. In addition, an Importance-Performance Analysis(IPA) was conducted to take into account stakeholder opinions and to determine the first priorities to be improved upon in operation and functions of the MLIR system. The results of the IPA in evaluating the MLIR system showed that the components in the MLIR system that should be primarily improved are mountainous landscape resource inventory, objective and quantitative selection of viewpoints, and a checklist for examining the damage expected in mountainous lands. To Revitalize the Mountainous Landscape Impact Review system, the professional knowledge and experience of the stakeholders should be enhanced by education and training in the MLIR system over the short-term, while the effective functioning of the MLIR system should be reinforced by differentiation and connectivity of the MLIR system with similar institutions, and by emphasizing the uniqueness and properties of mountainous landscapes over the long-term.