• Proceedings of the Korea Water Resources Association Conference
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• 1996.05a
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• pp.243-249
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• 1996

• Health Policy and Management
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• v.17 no.1
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• pp.94-124
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• 2007

This paper critically reviews three decades of research on geographic variations. in health services utilization in the United States, thereby drawing policy and research implications for Korea. The recent renewed interest in variations research in the United States, precipitated by studies on regional variations in Medicare expenditures, stems mainly from the policy implication that a substantial amount of Medicare expenditures could be saved without compromising quality and access. From the research perspective, this policy implication was made tenable by integrating micro- and macro-level analysis of variations in health services utilization. Still, theoretical limitations inherent in the research pose great challenges to developing effective strategies at the health system level. Variations research in the United States can serve as a case study as to how health services research has responded to efficiency and quality issues in an ever expanding health system Considering the current health policy and research environment in Korea, the following implications can be drawn. Variations research will help formulate a national policy agenda for health care quality and also advance the framework of approaches to health policy issues. For such purposes, both relevant descriptive and hypothesis-testing studies are needed. Further advancement in variations research will require interdisciplinary explorations and methodological sophistication. To the extent that Korean health policies will strive to achieve complex goals, variations research will increasingly prove to be useful.

• Journal of Digital Convergence
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• v.13 no.1
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• pp.353-366
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• 2015

The purpose of this study was to examine how region-specific characteristics affect the occurrence of cardiac arrest. To analyze, we combined a unique data set including key indicators of health condition and cardiac arrest occurrence at the 244 small administrative districts. Our data came from two main sources in Korea Center For Disease Control and Prevention (KCDC): 2010 Out-of-Hospital Cardiac Arrest Surveillance and Community Health Survey. We analyzed data by using multiple regression, geographically weighted regression and decision tree. Decision tree model is selected as the final model to explain regional variations of cardiac arrest. Factors of regional variations of cardiac arrest occurrence are population density, diagnosis rates of hypertension, stress level, participating screening level, high drinking rate, and smoking rate. Taken as a whole, accounting for geographical variations of health conditions, health behaviors and other socioeconomic factors are important when regionally customized health policy is implemented to decrease the cardiac arrest occurrence.

• Journal of Korean Society for Atmospheric Environment
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• v.19 no.6
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• pp.773-787
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• 2003

There are variations in the temperature Held due to urban heat island and anthropogenic heating so that regional scale meteorological field is changed. Therefore we simulate and predict the regional climate change according to surface characteristics through regional meteorological model. This study investigates the regional meteorological field by urbanization that influences in local circulation system using CSU-RAMS and simulates dry deposition velocity (V$_{d}$) using PNU/DEM which includes surface characteristics (such as albedo, surface hydrology and rough-ness length etc.) with calculated meteorological field. During the summer, horizontal distributions of V$_{d}$ were simulated using CSU-RAMS and PNU/DEM at Busan metropolitan area. The estimated values of V$_{d}$ were larger in forest and agricultural areas than water areas since ozone with low water solubility is destroyed slowly at wet surface or water.water.

• Journal of Korean Society for Atmospheric Environment
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• v.19 no.E4
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• pp.149-155
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• 2003

In this study. the amounts of the total precipitable water (TPW) in both global and regional scale are estimated from the MODIS instrument, which is on-board the EOS satellites, Terra and Aqua. The estimation is made from the five near-infrared spectral bands, using a technique employing ratios of water- vapor absorbing channels centered at 0.905, 0.936, 0.940 ${\mu}{\textrm}{m}$ with atmospheric window channels at 0.865 and 1.240 ${\mu}{\textrm}{m}$. Through analyses of monthly and eight-days mean TPW, one can monitor characteristics of seasonal variations as well as amount and distribution (i.e., water resources) of TPW at both global and local regions. Long-term monitoring of TPW is essential to understand the regional variations of water resources in East Asia.

• Journal of Korean Society of Forest Science
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• v.84 no.1
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• pp.71-76
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• 1995

This study on Pinus desiflora in Kangwon Province has been performed for the purpose of classifying its growth area by geographical factors. To classify its growth area, the basic data which had were the measured values for annual ring width from cores were used. Individual variations in the measured values were removed through the standardization. Regional mean chronologies were estimated from the standardized values. The growth area was classified by the cluster analysis on the basis of the regional mean standardized indices. The results of this study shown that annual growth patterns to be clustered similar to geographical distribution in Kangwon Province. And the regional variations of annual growth patterns in the western part of Kangwon province were greater than those in the eastern part of Kangwon province.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 1999.04a
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• pp.276-277
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• 1999

• Proceedings of the Zoological Society Korea Conference
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• 2003.08a
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• pp.135.2-135
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• 2003

No Abstract, See Full Text

• Journal of Environmental Science International
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• v.21 no.11
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• pp.1407-1418
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• 2012

The purpose of this study is to analyze seasonal variations of seaweed community structure according to ocean environment at three areas in the east coast of Korea. Mean water temperatures of Gosung, Samchuk, and Gyeongju were $8.3^{\circ}C$, $11.2^{\circ}C$, and $13.1^{\circ}C$, respectively, during the growing winter season of 2011. Subtidal benthic macroalgal flora and community structure were investigated at the sites between February to November 2011. The numbers of seaweed species at the areas were 38, 12, and 15, respectively. The amounts of biomass were 7.35 kg $m^{-2}$, 1.80 kg $m^{-2}$, and 0.84 kg $m^{-2}$, respectively, during the period. The values of C/P, R/P, and (R+C)/P representing flora characteristics at Sokcho area were 0.1, 1.1, and 1.2, respectively. The values of flora characteristics at Samchuk were 0.3, 0.6, and 1.0, respectively. The values of flora characteristics at Gyeongju were 0.4, 4.0, and 1.2, respectively.

• Proceedings of the National Institute of Ecology of the Republic of Korea
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• v.1 no.1
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• pp.58-67
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• 2020

Terrestrial ecosystems influence climate change via their climate regulation function, which is manifested within the carbon, water, and energy circulation between the atmosphere and surface. However, it has been challenging to quantify the climate regulation of terrestrial ecosystems and identify its regional distribution, which provides useful information for establishing regional climate-mitigation plans as well as facilitates better understanding of the interactions between the climate and land processes. In this study, a land surface model (LSM) that represents the land-atmosphere interactions and plant phenological variations was introduced to assess the contributions of terrestrial ecosystems to atmospheric warming or cooling effects over East Asia over the last half century. Three main climate-regulating components were simulated: net radiation flux, carbon exchange, and moisture flux at the surface. Then, the contribution of each component to the atmospheric warming or cooling (negative or positive feedback to the atmosphere, respectively) was investigated. The results showed that the terrestrial ecosystem over the Siberian region has shown a relatively large increase in positive feedback due to the enhancement of biogeochemical processes, indicating an offset effect to delay global warming. Meanwhile, the Gobi Desert shows different regional variations: increase in positive feedback in its southern part but increase in negative one in its eastern part, which implies the eastward movements of desert areas. As such, even though the LSM has limitations, this model approach to quantify the climate regulation is useful to extract the relevant characteristics in its spatio-temporal variations.