• Journal of Forest and Environmental Science
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• 제24권3호
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• pp.127-135
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• 2008

The mission of the Forest Inventory and Analyis (FIA) program of the Forest Service, U.S. Department of Agriculture, is to conduct the national forest inventory of the United States of America for purposes of estimating the area of forest land; the volume, growth, and removal of forest resources; and the health of the forest. Users of FIA data, estimates, and related products include land managers, policy and decision-makers, forest industry, environmental organizations, and university researchers. To accomplish its mission, the FIA program has established a sampling design with an intensity of approximately one permanent plot per 2,400 ha across the entire country. Depending on the region of the country, each plot is remeasured at intervals of five or 10 years. The program releases data annually and reports estimates at the county level for each state every five years. Due to budgetary constraints and natural variability among plot observations, sufficient numbers of plots cannot be measured to satisfy precision guidelines for the estimates of many variables unless the estimation process is enhanced using ancillary data. Classified satellite imagery has been demonstrated to be a source of ancillary data that can be used with stratified estimation techniques to increase the precision of estimates with little corresponding increase in costs. A crucial factor restricting the utility of FIA data is that the exact locations of inventory plots cannot be released to the public. Thus, users are generally not able to obtain estimates for small areas or for their own areas of interest if exact plot locations are required. To compensate, satellite imagery, inventory plot data, and the k-Nearest Neighbors technique are being used to construct Internet-based maps of forest attributes from which estimates for arbitrary user-defined areas of interest may be obtained.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2011년도 춘계학술대회 논문집
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• pp.536-543
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• 2011

The previous researches on railway sector have focused on the total greenhouse gas(GHG) emission through national approaches. The aim of this study was to calculate GHG emission at a local government level to measure each city's GHG intensity on rail transportation. This study followed 'the guidelines for local government greenhouse gas inventory(issued by Korea Environment Corporation)' including VKT(Vehicle kilometers Travelled) methodology for railway inventory at a metropolitan area. As a result, the gyeongsangbuk-do emitted the highest GHG emissions at a local government level, followed by chungcheongnam-do and chungcheongbuk-do in 2006. Among several cities, Gimcheon-city emitted the highest GHG at basic government level in 2006. In future, the calculation of GHG emissions at local government level can be applied to establish various policies for GHG reduction.

• 경영과학
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• 제32권1호
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• pp.101-111
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• 2015

The glass production is classified into an energy intensive industry. This study develops a systematic procedure to derive Greenhouse Gas (GHG) emission inventory for the Korean glass industry. Based on the bottom-up approach in which the energy intensity in each production process is characterized, the EBs (energy balances) of glass production processes are derived. And the GHG emission is calculated for each of four types of glasses-flat glass, container glass, fiber glass, and LCD glass.

• Journal of Forest and Environmental Science
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• 제33권4호
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• pp.295-304
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• 2017

This study compared and analyzed the construction of a land use change matrix for the Intergovernmental Panel on Climate Change's (IPCC) land use, land use change, and forestry area (LULUCF). We used National Forest Inventory (NFI) permanent sample plots (with a sample intensity of 4 km) and permanent sample plots with 500 m sampling intensity. The land use change matrix was formed using the point sampling method, Level-2 Land Cover Maps, and forest aerial photographs (3rd and 4th series). The land use change matrix using the land cover map indicated that the annual change in area was the highest for forests and cropland; the cropland area decreased over time. We evaluated the uncertainty of the land use change matrix. Our results indicated that the forest land use, which had the most sampling, had the lowest uncertainty, while the grassland and wetlands had the highest uncertainty and the least sampling. The uncertainty was higher for the 4 km sampling intensity than for the 500 m sampling intensity, which indicates the importance of selecting the appropriate sample size when constructing a national land use change matrix.

• Journal of Acupuncture Research
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• 제29권4호
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• pp.25-34
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• 2012

Objectives : This study was conducted to investigate the effects of fixed-intensity and varied-intensity electroacupuncture in pain and sensory threshold concerning parameters visual analogue scale(VAS), brief pain inventory(BPI) and quantitative sensory testing(QST), among chronic tension headache patients. Methods : Thirty patients with chronic tension headache were randomly assigned to three groups and received different kinds of electroacupuncture at $ST_{36}$ and $ST_{37}$. Group A received fixed-intensity electroacupuncture(fixed-EA), group B received varied-intensity electroacupuncture (varied-EA), and group C received only acupuncture treatment without electrical stimulation as a control group. The intervention was given three times per week, and continued in two weeks. All the experiments were conducted blindly. Results : Fixed-EA group showed a significant decrease of VAS and BPI compared to the baseline measurement, while both varied-EA and control group did not. Of the parameters of QST, subtraction of heat pain threshold(HPT) and cold pain threshold(CPT) slightly increased in all groups, but this was not significant. Conclusions : These results suggest that fixed-EA reduce pain and improve quality of life in patients with chronic tension headache and that acupuncture may regulate patient's pain sensitivity through changing sensory threshold.

• Physical Therapy Rehabilitation Science
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• 제11권2호
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• pp.165-171
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• 2022

Objective: Nonspecific low back pain (NSLBP) is experienced worldwide by many age groups. Yoga is recommended as an exercise to reduce back pain and stress because it is a breathing exercise, posture, and meditation as key elements. The aim of this study is to compare the effects of yoga and stabilization exercise on pain intensity, function, and depression. Design: An open-label, parallel arm, randomized controlled trial Methods: Twenty-four participants were allocated to the experimental and the control group in a ratio of 1:1. Yoga (experimental group) and stabilization exercise (control group) were received twice a week for 6 weeks Participants were assessed at baseline and post-intervention for pain intensity (numeric pain rating scale), function (Aberdeen low back pain scale, flexibility,and strength), and depression (Beck depression inventory). Results: When the experimental group (Yoga) and control group (stabilization exercise) were performed twice a week for 6 weeks, numeric pain rating scale, Aberdeen low back pain scale, and flexibility in post-intervention showed significant improvement in both groups (P<0.05), However, in all variables, the experimental group showed a positive benefit compared to the control group (P<0.05). Conclusions: The results of this study show that yoga has more positive benefits compared to stabilization exercise in pain intensity, function, and depression in individuals with NSLBP.

• 대한토목학회논문집
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• 제33권1호
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• pp.297-304
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• 2013

기후변화에 대응하여 수송부문의 탄소배출 저감노력이 세계적인 이슈가 되고 있다. 특히, 지역단위의 수송부문 탄소배출 저감전략의 수립 및 효율 집행을 위해서는 정밀한 탄소배출 인벤토리 구축은 필수적이나, 현재 도로교통의 특성과 수단의 다양성, 통행패턴의 복잡성 등 자료수집 한계로 신뢰성 있는 지역단위 인벤토리는 개략적 산정에 그치고 있는 실정이다. 본 연구는 이와 같은 문제점을 극복하기 위해 국가교통DB의 자료를 활용하여 지역단위 도로교통 탄소배출 인벤토리 구축 방법론을 제시하였다. 이를 위해 국가교통DB포함 자료 중 $CO_2$ 관련 속성을 파악하고, 이에 적합한 $CO_2$ 산정식을 도출하여 인벤토리 모형을 구축하였다. 구축된 모형의 적용성을 검토하기 위해 부산시를 사례로 2008년도 기준 도로부문의 탄소배출량을 산정하여 기존 연구결과와 비교분석하였다. 또한, 연구의 결과를 기초로 더욱 정밀한 인벤토리 구축을 위한 향후 연구방향을 제시하였다.

• 한국보건간호학회지
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• 제15권1호
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• pp.83-95
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• 2001

The purpose of this study is to examine intensity of pain and anxiety of burn patients. This study selected 99 adult patients of 18 years old or older who have been hospitalized and treated for a second-degree burn at the surgery ward or burn ward of 3 university hospitals which are located in 2 metropolitan cities, and a university hospital in Seoul Special City from July 1 to October 20, 2000. This study used STAI(State-Trait Anxiety Inventory) developed by Spielberger, and translated by Kim, Jung Taek and Shin, Dong Kyun to examine the degree of anxiety and VAS to examine the pain. This study was carried out by interview and using SPSS 9.0 statistical program. Results were as follows : 1) As for general characteristics of the subjects, they were mostly male. 30s-40s, married, and high school graduates. 2) Forty-seven patients were burned by fire and $49.6\%$ of the patients had burn 10 to $20\%$ of BSA. seventy-nine percents of patients received one dressing change a day and $74.3\%$ received medication once or twice a day. 3) As for intensity of anxiety and pain. the mean intensity of pain was 6.41. The intensity of trait anxiety and the state anxiety were 39.76. and 51.81. 4) Subject's age was significantly different in their pain intensity and other variables were insignificant. Correlations between trait-anxiety and state-anxiety(r=.286, p=.004), and state-anxiety and VAS(r=.294, p=.003) showed weak correlation. There wasn't statistically any significance in trait- anxiety and VAS(r=.183, p=.070).

• 한국대기환경학회지
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• 제24권2호
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• pp.249-258
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• 2008

Historical emission data for 11 polychlorinated biphenyls (PCBs) and a regional multimedia environmental model, CoZMo-POP 2, were used to predict air concentrations and congener patterns in Korea. The total emission value for South Korea was allocated to sub-provinces and cities based on their population. The spatial distribution of PCB emissions was generally correlated with that of measured atmospheric levels, suggesting that population could be a good surrogate for the intensity of PCB emission in Korea. The simulated time trends of air concentrations well reflected those of emission with a peak in the mid-1970s and insignificant levels in the 2030s. The model predicted that the contribution of volatile PCBs had increased after emission reduction iii the 1970s. This trend would continue until the early 2030s. The measured and modeled PCB levels in the 2000s were in an agreement of an order of magnitude, and their congener patterns were very similar. Consequently, despite of high uncertainty for emission estimates, the emission data for Korea used in this study is considered to be reliable. The results of this study could be compared with simulation data based on a new emission inventory to be developed by measurements in the near future.

• 한국농공학회논문집
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• 제65권6호
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• pp.65-78
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• 2023

In recent times, the frequency and intensity of natural disasters, such as heavy rains and typhoons, have been increasing due to the impacts of climate change. This has led to a rise in social and economic damages. Rural areas, in particular, possess limited disaster response capabilities due to their underdeveloped infrastructure and are highly vulnerable to flooding. Therefore, it is crucial to establish preventative and responsive measures. In this study, an Inventory-Based Flood Loss Estimation (IB-FLE) method utilizing high-resolution spatial information was developed for estimating flood-related losses in rural areas. Additionally, the developed approach was applied to a study area and compared with the Multidimensional Flood Damage Analysis (MD-FDA) method. Compared to the MD-FDA, the IB-FLE enables faster and more accurate estimation of flood damages and allows for the assessment of individual building and agricultural land losses using up-to-date information. The findings of this study are expected to contribute to the rational allocation of budgets for rural flood damage prevention and recovery, as well as enhancing disaster response capabilities.