• Journal of the Korean Society of Marine Environment & Safety
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• v.28 no.5
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• pp.764-772
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• 2022

The shipping and port industries have traditionally been male-centered, and although the scope of entry for female mariners is increasing, the proportion of female workers is still low. However, research on career barriers and career decision levels in this industry has not yet been conducted. This study can explain the dif iculties in career development experienced by women in this industry and comprehensively explain the socio-cultural context or environmental factors to which the individual belongs in order to improve it. The purpose of this study was to derive career barrier factors and investigate how they affect career decision levels among female students enrolled in M University's Maritime College. The career barriers perceived by female students at Maritime College were derived from gender discrimination (GD), career undecided and lack of preparation (IOU), work-family conflict (WFC), lack of individual characteristics (LPQ), and lower-than-expected job prospects (LOE). As a result of analyzing how the derived career barrier factors af ect the career decision level, it was found that IOU had a significant negative effect on the career decision level. GD, WFC, LPQ, and LOE did not have a significant effect on career decision level. The study conclusions can be used as important data for career guidance and counseling for female maritime college women who want to overcome career barriers and improve their career decision-making levels.

• Journal of Environmental Health Sciences
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• v.49 no.3
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• pp.169-177
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• 2023

Background: The Korea Centers for Disease Control and Prevention (KCDC) has identified cases of people suspected of suffering lung disease potentially caused by chloromethylisothiazolinone/methylisothiazolinone (CMIT/MIT) used in humidifier disinfectants (HDs). The Korean Ministry of Environment (MoE) epidemiological investigation and toxicity test study found that HDs caused health damage such as asthma and lung disease. Objectives: The main purposes of this study were to classify the HD exposure rating and to analyze the exposure characteristics that affect exposure to CMIT/MIT HDs. Methods: The exposure characteristics and socio-demographic characteristics of victim participants using CMIT/MIT HDs were investigated through questionnaires. An inhalation no observed adverse effect level (NOAEL) for CMIT/MIT was produced based on inhalation toxicity values. Exposure ratings (class 1~class 2) were cross-tabulated with clinical ratings (acceptable~unacceptable). A correlation analysis was conducted with the main exposure characteristics that affect the exposure concentration of CMIT/MIT HDs. Results: The concentration in indoor air of CMIT/MIT was 8.75±25.40 ㎍/m³, and the exposure concentration was 2.30±6.29 ㎍/m³. The CMIT/MIT exposure rating of 67 participants with high exposures of not more than MOE 100 were evaluated as 14.5%, while the damage participants who matched the clinical rating made up 4.5%. The exposure concentration of CMIT/MIT showed a positive correlation with the daily usage amount and usage frequency, and a negative correlation with volume of the indoor environment. Conclusions: A new exposure rating could be suggested and calculated based on the MOE, and the factors affecting the exposure concentration could be identified.

• Journal of Environmental Impact Assessment
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• v.30 no.6
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• pp.339-354
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• 2021

The purpose of this study is to provide valuable information and data by analyzing the environmental status and potential forrenewable energy projects (or plans) based on environmental assessment (EA) data, so that more objective and scientific environmental assessments can be conducted. The study also suggests regional directions that could satisfy the goals of nature conservation and renewable energy. Based on the analysis of EA data that was conducted up until June 2019, the study analyzed the size, location and characteristics of both onshore wind power and onshore photovoltaic. The environmentally available potential by region was also derived by considering the main constraints and requirements related to the potential siting ofrenewable energy projects at the EA. Based on EA data, 63 out of 80 (79%) onshore wind power projects are shown to be located in mountainous areas. For onshore photovoltaic projects, a total of 7,363 projects were subjected to environmental assessment over the country. The environmentally potential area for onshore wind power, considering all the environmental regulatory factors, is 2,440 km². For onshore photovoltaic, the environmentally available area estimated as idle farmland is 2,877 km². The distribution and characteristics of the environmentally available potential of the region may be the most important factor that local governments should bear in mind in terms of promoting renewable energy development projects in the region. Based on the results of this study, even if we consider the national energy plan including the expected future increase, as well as environmental goals and socio-economic acceptance through an environmental assessment, the available resources forrenewable energy projects are not insufficient. It is possible to examine the adequacy of the target distribution rate of renewable energy sources by region taking into consideration the quantitative and scientific results such as the environmentally available potential data derived from this study.

• Ecology and Resilient Infrastructure
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• v.9 no.3
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• pp.163-173
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• 2022

Climate change is a key factor that greatly influences changes in the biological seasons and geographical distribution of species. In the ecological field, the BioClimatic predictor (BioClim), which is most related to the physiological characteristics of organisms, is used for vulnerability assessment. However, BioClim values are not provided other than the future period climate average values for each GCM for the Shared Socio-economic Pathways (SSPs) scenario. In this study, BioClim data suitable for domestic conditions was produced using 1 km resolution SSPs scenario detailed data produced by Rural Development Administration, and based on the data, a species distribution model was applied to mainly grow in southern, Gyeongsangbuk-do, Gangwon-do and humid regions. Appropriate habitat distributions were predicted every 30 years for the base years (1981 - 2010) and future years (2011 - 2100) of the Acer pictum subsp. mono. Acer pictum subsp. mono appearance data were collected from a total of 819 points through the national natural environment survey data. In order to improve the performance of the MaxEnt model, the parameters of the model (LQH-1.5) were optimized, and 7 detailed biolicm indices and 5 topographical indices were applied to the MaxEnt model. Drainage, Annual Precipitation (Bio12), and Slope significantly contributed to the distribution of Acer pictum subsp. mono in Korea. As a result of reflecting the growth characteristics that favor moist and fertile soil, the influence of climatic factors was not significant. Accordingly, in the base year, the suitable habitat for a high level of Acer pictum subsp. mono is 3.41% of the area of Korea, and in the near future (2011 - 2040) and far future (2071 - 2100), SSP1-2.6 accounts for 0.01% and 0.02%, gradually decreasing. However, in SSP5-8.5, it was 0.01% and 0.72%, respectively, showing a tendency to decrease in the near future compared to the base year, but to gradually increase toward the far future. This study confirms the future distribution of vegetation that is more easily adapted to climate change, and has significance as a basic study that can be used for future forest restoration of climate change-adapted species.

• Spatial Information Research
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• v.22 no.4
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• pp.77-87
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• 2014

Recently there are many disasters caused by volcanic activities such as the eruptions in Tungurahua, Ecuador(2014) and $Eyjafjallaj\ddot{o}kull$, Iceland(2010). Therefore, it is required to prepare countermeasures for the disasters. This study analyzes the Baekdu Mountain area, where is the risky area because it is active volcano, based on the observed data and scientific methods in order to assess a risk, produce a hazard map and analyze a degree of risk caused by the volcano. Firstly, it is reviewed for the research about the Baekdu mountain volcanic eruption in 1215(${\pm}15$ years) done by Liu Ruoxin. And the factors causing volcanic disaster, environmental effects, and vulnerability of Baekdu Mountain are assessed by the dataset, which includes the earthquake monitoring data, the volcanic deformation monitoring data, the volcanic fluid geochemical monitoring data, and the socio-economic statistics data. A hazard, especially caused by a volcano, distribution map for the Baekdu Mountain Area is produced by using the assessment results, and the map is used to establish the disaster risk index system which has the four phases. The first and second phases are very high risky area when the Baekdu Mountain erupts, and the third and fourth phases are less dangerous area. The map shows that the center of mountain has the first phase and the farther area from the center has the lower phase. Also, the western of Baekdu Mountain is more vulnerable to get the risk than the eastern when the factors causing volcanic disasters are equally applied. It seems to be caused by the lower stability of the environment and the higher vulnerability.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.37 no.2
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• pp.325-331
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• 2017

Due to the climate change, natural disaster has been occurred more frequently and the number of snow disasters has been also increased. Therefore, many researches have been conducted to predict the amount of snow damages and to reduce snow damages. In this study, snow damages over last 21 years on the Natural Disaster Report were analyzed. As a result, Chungcheong-do, Jeolla-do, and Gangwon-do have the highest number of snow disasters. The multiple linear regression models were developed using the snow damage data of these three provinces. Daily fresh snow depth, daily maximum, minimum, and average temperatures, and relative humidity were considered as possible inputs for climate factors. Inputs for socio-economic factors were regional area, greenhouse area, farming population, and farming population over 60. Different regression models were developed based on the daily maximum snow depth. As results, the model efficiency considering all damage (including low snow depth) data was very low, however, the model only using the high snow depth (more than 25 cm) has more than 70% of fitness. It is because that, when the snow depth is high, the snow damage is mostly caused by the snow load itself. It is suggested that the 25 cm of snow depth could be used as the snow damage threshold based on this analysis.

• Research in Community and Public Health Nursing
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• v.11 no.1
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• pp.209-221
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• 2000

I began the study to identify the issues related to knowledge. attitude and behavior regarding smoking by sixth graders. which will ultimately lead to the development of a smoking prevention program that will not only help deter school-age children from smoking, but also make them aware of the more desirable behaviors and techniques for healthier life. The results are as follows: 1. Smoking Behavior: Of the focus group. 4.15% are current smokers and 18.23% are ever smokers. 2. Correlation between smoking knowledge and ever smoking: Ever smoking sample($11.10{\pm}3.66$) is less knowledge able than the never-smoking sample($12.17{\pm}3.95$), (t=3.23. p=.001). 3. Correlation between smoking attitude and ever smoking: Ever smoking sample($28.12{\pm}8.51$) was less desirable than the never-smoking sample($l2.17{\pm}3.95$). (t=8.24, p=.000). 4. Correlation between smoking Knowledge and smoking attitude: knowledge about smoking and attitude toward smoking are quantitatively correlated in such way that the more knowledgeable the child is about smoking. the more desirable the attitude toward smoking is(r=.17. p=.000). 5. Correlation between socio-anthropological characteristics and ever smoking: family . atmosphere($x^2$=16.49. p=.001), school life ($x^2$=l1.58, p= .003), grades in school( $x^2$=11.89. p=.003), gender($x^2$=8.97. p=.003). friends' gathering place($x^2$=13.19. p=.02), marital status of parents(p* =.03). and family's financial status($x^2$=6.71. p=.035). In addition, Correlation between somking-environmental characteristics and ever smoking: number of friends who smoke($x^2$=76.01. p=.001). information source for smoking($x^2$=48.03. p=.001), whether or not siblings smoke($x^2$=26.07, p=.001), whether or not female relatives smoke ( $x^2$= 15.65. p= .001), whether or not father smokes ($x^2$= 12.10. p= .007), errands to buy cigarettes for someone($x^2$=9.18. p=.010), and whether or not male relatives smoke ($x^2$=8.82. p=.35) 6. Results of the logistic analysis performed to identify the factors correlated to ever smoking show that: one point decrease in attitude score translates to 25.39 times' increase in ever smoking one person decrease in the number of friends who smoke translates to 0.66 times' decrease in ever smoking: the group where the father has quit smoking has 1.40 times more ever smoking than the group where the father does not smoke at all: and likewise, the group where the father currently smokes has 1.40 times more ever smoking than the group where the father has quit smoking. 7. The overall cause-and-effect relationship between the ever smoking and the related factors: attitude toward smoking caused ever smoking by -.43, smoking by friends, by .12, marital status of arents, by .05, school life. by .04, gender, by -.03, and smoking by father, by -.02. Knowledge about smoking (t=-1.67) did not cause significant effects on ever smoking.

• Korean Journal of Psychosomatic Medicine
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• v.7 no.1
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• pp.51-60
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• 1999

This study was designed to evaluate anxiety & depression symptoms and pressure pain threshold in patients with posttraumatic stress disorder(n=23) and to find out the relationship between the affective symptoms and the pressure pain threshold scores. And this was compared with healthy control subjects(n=18). The scores of pressure pain threshold were checked with algometer. The results were as follows : PTSD patients showed higher scores of anxiety & depression symptoms than that of the control group. In contrast with our hypothesis, pressure pain threshold in PTSD patients presented statistically significant higher scores than that of the control group. These results may be derived from following factors. First, chronic depression has influenced the pain perception of patients with PTSD rather than anxiety symptoms, second, abnormal state of the opiate system in PTSD patients, third, the sick role of the PTSD patients, fourth, the socio-environmental factor of the PTSD patients. In conclusion, affective symptoms, especially depression, were related to the chronic pain in patients with PTSD, however, the causality of elevated pressure pain threshold was uncertain in this study. To understand more clearly the relation between affective symptoms and chronic pain, it will be necessary to control the other specific factors.

• Journal of the Korean Geographical Society
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• v.49 no.2
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• pp.245-263
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• 2014

This study tries to investigate the changes of mortality regarding heat waves which are usually considered as one of the most direct impacts of climate change. Based on 17 years data period (1994-2010), each city's threshold temperature and minimum mortality temperature are recognized. According to the results, minimum mortality temperature varies from 23 to $25^{\circ}C$, showing minimum temperature corresponding to $23^{\circ}C$ in Gangwondo and maximum temperature corresponding to $25.4^{\circ}C$ in Jeollabukdo and Major 7 city group. In case of threshold temperature, it ranges from 27 to $30^{\circ}C$. The cities having higher threshold temperatures tend to have large populations and vice versa. In addition, the cities having negative demographic vulnerability relatively have lower temperatures, representing correlation -0.44(p=0.06). The socio-economic-environmental vulnerability shows negative correlation with minimum mortality temperature(r=-0.36, p=0.032) and threshold temperature(r=-0.29, p=0.081). This paper represents that the number of mortality could increase rapidly and show large spatial differences in the number of mortality depending on various factors including natural, social, and economic factors of each region.

• Journal of the Korean association of regional geographers
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• v.21 no.4
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• pp.751-763
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• 2015

Both the selection of indicators and weights for them are critical issues in the vulnerability assessment. This study is to assess the air pollution vulnerability focused on ozone for 249 local jurisdictions using weights calculated by the entropy methodology and then examine the applicability of the methodology. We selected indicators for air pollution vulnerability assessment and standardized them. Subsequently, we calculated weights of each indicator using the entropy method and then integrated them into the vulnerability index. The exposure indicators consider meteorological and air pollution factors and the sensitivity of the local jurisdiction include variables on vulnerable areas and environments. The adaptive capacity contains socio-economic characteristics, health care capacities and air pollution managemental factors. The results show that Hwaseong-si, Gwangjin-gu, Gimpo-si, Gwangju-si, Gunpo-si are among the highest vulnerabilities based on the simple aggregation of indicators. And vulnerability-resilience (VRI) aggregation results indicates the similar spatial pattern with the simple aggregation outcomes. This article extends current climate change vulnerability assessment studies by adopting the entropy method to evaluate relative usefulness of data. In addition, the results can be used for developing customized adaptation policies for each jurisdiction reflecting vulnerable aspects.