• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.4-4
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• 2020

Three wildfires severely damaged local towns and forests in Gangwon-do, South Korea in 2019 April 4-5. Local hydrological regime could be greatly altered by the wildfires, therefore it is important to assess its damage (e.g. area and severity) and also resultant changes in hydrological fluxes. We retrieved the Normalized-Burned Ratio (NBR) index using remote-sensing data (Moderate Resolution Imaging Spectroradiometer (MODIS) 500-m 8-day surface reflectance data), and delineated the damaged-area based on the difference in the NBR (dNBR) before and after the wildfires. We then estimated changes in the annual evapotranspiration (AET) in 2019 using the MODIS evapotranspiration data (500-m 8-day). It was found that the damaged-area of the three wildfires was 29.50 km^2 in total, which take up 1.00-6.19% area of five catchments. It was estimated that the AET would be decreased as 0.05-1.56% over those five catchments, as compared to the pre-fire AET (2004-2018). The impact of the wildfires on the catchment AET was less severe than expected (i.e. up to 1.56%) mostly because two big wildfires were distributed across two catchments respectively (i.e. four catchments for the two wildfires) and the other wildfire was small and not severe. This study highlights the importance of assessing the area and severity of a wildfire when estimating its impact on the local hydrological cycle.

• The Korean Journal of Applied Statistics
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• v.36 no.6
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• pp.591-618
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• 2023

This paper evaluates the performance of various distribution assumptions in regression settings for estimating insurance loss. The gamma distribution is commonly used to handle the asymmetry property of loss distribution. However, recent studies highlight the significance of heavy-tailedness in loss distribution. Through an analysis of real home fire insurance data, we compare the effectiveness of different distribution assumptions in regression methods. Our findings show that the choice of parametric distributional assumption is crucial in determining premiums for various insurance products, including "excess of loss insurance" and "limit insurance". Additionally, we discuss practical considerations for applying our results in home fire insurance.

• Anxiety and mood
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• v.7 no.2
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• pp.92-100
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• 2011

Objectives : The aim of this study was to investigate Post Traumatic Stress Disorder (PTSD)-related symptom severity, level of functional impairment and personality profiles between full-blown PTSD, partial PTSD and non-PTSD groups among 59 adolescent survivals from the Incheon fire disaster. Method : Using Short Screening Scale for DSM-IV PTSD, victims of the disaster were assigned to a full-blown PTSD group (n=18), a partial PTSD (n=22), or a non-PTSD group (n=19). Assessments included the Beck Depression Inventory (BDI), the State-Trait Anxiety Inventory (STAI), the Impact of Event Scales (IES), the McBride's Degree of General Labor Loss, and the Korean Version of Temperament and Character Inventory (K-TCI). Results : Significantly severe PTSD symptoms (F=4.832, df=2, p<.05) and functional impairment (F=12.144, df=2, p<.01) were demonstrated by PTSD groups as compared to the non-PTSD group. Interestingly, full and partial PTSD did not differ in these comparisons. Similarly, the subtypes of PTSD did not differ with respect to personality profiles using the K-TCI ; however, personality profiles were sharply differentiated between the PTSD and non-PTSD group. Conclusion : Although high subject homogeneity and small sample size may limit the results of this study, the present results highlight the possibility of the underestimation as well as the insufficient, treatment and compensation of partial vs full PTSD.

• Korean Journal of Agricultural and Forest Meteorology
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• v.14 no.4
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• pp.222-228
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• 2012

This study was conducted to determine the natural succession process after forest fire by comparing height, relative growth rates in height (RGH), and tree density of pine seedlings with different fire severity. In the area damaged by surface fire, tree density was highest during the first 5 years after fire. However, in the area damaged by crown fire, tree density rapidly increased during first 5 years after fire. Pine seedlings were found only on the place with ridges, barren soil, and the aspect of north. Annual height growth of pine seedlings was decreased with time in all study sites. The empty space in pine stands gradually decreased by the invasion of Quercus species. The forest fire altered the pine forest into oak forest rapidly. In contrast, pine seedlings invaded steadily on the oak forest in the rocky area or the area with ridges.

• International Journal of Highway Engineering
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• v.13 no.4
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• pp.199-209
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• 2011

In the study of traffic safety, the analysis on factors affecting crash severity and the understanding about their relationship is important to be planning and execute to improve safety of road and traffic facilities. The purpose of this study is to develop a hierarchical binomial logistic model to identify the significant factors affecting fatal injuries and vehicle damages of traffic crashes on freeway. Two models on death and total vehicle damage are developed. The hierarchical structure of response variable is composed of two level, crash-occupant and crash-vehicle. As a result, we have gotten the crash-level random effect from these hierarchical structure as well as the fixed effect of covariates, namely odds ratio. The crash on the main line and in-out section have greater damage than other facilities. Injuries and vehicle damages are severe in case of traffic violations, centerline invasion and speeding. Also, collision crash and fire occurrence is more severe damaged than other crash types. The surrounding environment of surface conditions by climate and visibility conditions by day and night is a significant factor on crash occurrence. On the orher hand, the geometric condition of road isn't.

• Transactions of the Korean Society of Automotive Engineers
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• v.8 no.6
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• pp.182-193
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• 2000

Several metrics have been used in crash discrimination algorithms in order to have timely air bag deployment during all frontal crash modes. However, it is still challengine to have timely air bag deployment especially during the oblique, the pole and the underride crash mode. Therefore, in this paper a new crash discrimination algorithm was proposed, using the absolute value of the deceleration change multiplied by the velocity change as a metric, and processing the metric as a function of the velocity change. The new algorithm was applied for all frontal crash modes of a minivan and a sports utility vehicle, and it resulted in timely air bag deployment for all frontal crash modes including the oblique, the pole and the underride crash mode. Moreover, it was proposed that an accelerometer be installed at each side of the rails, rockers or pillars to assess the crash severity of each side and to deploy the frontal air bags at different time especially during an asymmetric crash such as an oblique and an offset crash. As an example, the deceleration pulses measured at the left and right B-pillar·rocker locations were processed through the new algorithm, and faster time-to-fires were obtained for the air bag at the struck side for the air bag at the other side.

• Journal of muscle and joint health
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• v.15 no.2
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• pp.175-182
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• 2008

Purpose: The purpose of the study was to identify low pain prevalence rate and factors affecting low back pain in emergency medical technicians. Method: A descriptive relationship research design was utilized. The participants were 74 emergency medical technicians who worked at fire stations in W and J city and agreed to participate in this study. Data were collected between April and August 2008 using a questionnaire, which included demographic factors, severity of low back pain using a visual analog scale, factors related to low back pain and health behavior, and BMI. Descriptive statistics and multiple regression were performed for data analysis. Results: 85.1% of emergency medical technicians experienced low back pain. The mean score of low back pain was relatively low (M=4.0, SD=2.33). Significant factors affecting low back pain were found to be age, marital status, exercise, hours of standing work, and BMI. These variables explained 35.1% of variance in low back pain (F=8.45, p<.001). Conclusion: These results suggest that further research is needed to develop interventions for prevention and management of low back pain among emergency medical technicians.

• The Korean Journal of Emergency Medical Services
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• v.25 no.3
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• pp.189-200
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• 2021

Purpose: We aimed to provide effective emergency medical services (EMS) response strategies for coping with high acuity patients during the pandemic by analyzing the influence of the COVID-19 and social distancing on EMS. Methods: In this retrospective observational study, we analyzed the distribution of high acuity patients transported by Daejeon 1-1-9 EMS during the COVID-19 pandemic period, between February 1, 2020 and October 31, 2020 and the same period in 2019, as well as the level 3 social distancing enforced period, between July 27, 2020 and October 31, 2020. Results: The EMS dispatches decreased by 17% during the observed COVID-19 pandemic period compared to the same period in 2019. The number of cases with cardiac arrest and positive prehospital stroke scale rose by (p<.001). Patients with cardiac arrest, trauma, and positive prehospital stroke scale increased by during the level 3 social distancing period. Conclusion: Unlike the decreased EMS call volume and patient transports during the COVID-19 pandemic, cardiac arrest cases and the severity of high acuity patients tended to increase. We suggest that EMS systems should contrive a response strategy considering the collateral effect of major epidemics on the incidence rate of high acuity patients.

• Journal of the Korea Society for Simulation
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• v.22 no.2
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• pp.101-107
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• 2013

Because forest fires are predicted to increase in severity and frequency under global climate change with important environmental implications, an understanding of fire dynamics is critical for mitigation of these negative effects. For the reason, researchers with different background, such as ecologists, physicists, and mathematical biologists, have developed the simulation models to mimic the forest fire spread patterns. In this study, we suggested a novel model considering the wind effect. Our theoretical forest was comprised of two different tree species with varying probabilities of transferring fire that were randomly distributed in space at densities ranging from 0.0 (low) to 1.0 (high). We then studied the distributional patterns of burnt trees using a two-dimensional stochastic cellular automata model with minimized local rules. We investigated the time, T, that the number of burnt trees reaches 25% of the whole trees for different values of the initial tree density, fire transition probability, and the degree of wind strength. Simulation results showed that the values of T decreased with the increase of tree density, and the wind effect decreased in the case of too high or low tree density. We believe that our model can be a useful tool to explore forest fire spreading patterns.

• Korean Journal of Remote Sensing
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• v.35 no.6_2
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• pp.1107-1115
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• 2019

Satellite data play a major role in supporting knowledge about forest fire by delivering rapid information to map areas damaged. This study, we used 7 Sentinel-2A images to detect change area in forests of Sokcho on April 4, 2019. The process of classify forest fire severity used 7 levels from Sentinel-2A dNBR(differenced Normalized Burn Ratio). In the process of classifying forest fire damage areas, the study selected three areas with high regrowth of vegetation level and conducted a detailed spatial analysis of the areas concerned. The results of dNBR analysis, regrowth of coniferous forest was greater than broad-leaf forest, but NDVI showed the lowest level of vegetation. This is the error of dNBR classification of dNBR. The results of dNBR time series, an area of forest fire damage decreased to a large extent between April 20th and May 3rd. This is an example of the regrowth by developing rare-plants and recovering broad-leaf plants vegetation. The results showed that change area was detected through the change detection of danage area by forest category and the classification errors of the coniferous forest were reached through the comparison of NDVI and dNBR. Therefore, the need to improve the precision Korean forest fire damage rating table accompanied by field investigations was suggested during the image classification process through dNBR.