• Proceedings of the Korean Radioactive Waste Society Conference
• /
• 2019.05a
• /
• pp.337-338
• /
• 2019

• The Korean Journal of Health Service Management
• /
• v.8 no.3
• /
• pp.147-155
• /
• 2014

The objective of the study was to analyze the regional variance of late preterm birth (LPT: 34-36 weeks) by analyzing 2008-2012 birth certificated data of seven metropolitan cities (536,984 births: primiparous singleton birth) from Korea Statistics. The odds ratio and 95% confidence intervals were calculated from multinominal logistic regression analyses to describe the regional variance of LPT adjusted for maternal and infantile variables. The highest incidence of LPT rate by region were observed in Ulsan metropolitan city (3.7 percent), and the lowest in Deajon metropolitan city (3.1 percent). After adjustment by logistic regression for infantile sex, maternal variables, there was a significant increase in the risk of late preterm birth in Ulsan metropolitan city (odds ratio: 1.21) as compared with the incidence of LPT in Deajon metropolitan city. The odds ratio of LPT by region were 1.17 in Daegu metropolitan city, 1.13 Busan metropolitan city, and 1.12 in Incheon metropolitan city. More research is required to understand the risk factors for late preterm birth in this area including socio-demographic factors, medical factors, and regional and environmental factors.

• Journal of Korean Society for Atmospheric Environment
• /
• v.32 no.4
• /
• pp.394-407
• /
• 2016

The spatial air pollution distribution of the Ulsan metropolitan region (UMR) was analyzed using monitoring data and high-resolution numerical simulations. A three-year (2011~2014) analysis for the average concentrations from the 13 air quality monitoring sites in the UMR showed that $SO_2$ and $PM_{10}$ levels in industrial regions were much higher than those in other regions, whereas spatial differences of $NO_2$ and CO concentrations were not significant. In particular, elevated $O_3$ concentrations were clearly found at urban sites near petrochemical complex area. Results from high-resolution simulations by CMAQ model performed for four months of 2012 showed large spatial variations in grid-average pollutant concentrations between industrial areas and other areas in the UMR, which displayed significant changes with wind pattern by season. It was noted that the increases of $SO_2$ and $PM_{10}$ levels were limited in costal industrial areas or over the area nearby the sea in all seasons. Modeled $O_3$ concentrations were quite low in industrial areas and main urban roads with large $NO_x$ emissions. However, the model presented that all pollutant concentrations were significantly increased in the urban residential areas near the industrial complexes in summer season with increase of southerly wind.

• Journal of Korean Society for Atmospheric Environment
• /
• v.31 no.2
• /
• pp.181-194
• /
• 2015

Spatial-temporal meteorological features of the Ulsan metropolitan region (UMR) were analyzed using observations and high-resolution numerical modeling. Long-term trend analysis (1970~2013) showed a significant increase of $0.033^{\circ}Cyr^{-1}$ in the 5-year moving average temperature, although detailed short-term features varied, whereas wind speed and relative humidity over the same period displayed clear decreases of $-0.007ms^{-1}$ and $-0.29%yr^{-1}$, respectively. These trends indicate the effects of regional climate change and urbanization in the UMR. Seasonal variations averaged for the most recent three years, 2011~2013, showed that temperatures in three different regions (urban/industrial, suburban, coastal areas) of the UMR had similar seasonality, but significant differences among them were observed for a certain season. Urban and industrial complex regions were characterized by relatively higher temperatures with large differences (max.: $3.6^{\circ}C$) from that in the coastal area in summer. For wind speed, strong values in the range from 3.3 to $3.9ms^{-1}$ occurred in the coastal areas, with large differences clearly shown between the three regions in September and October. Diurnal variations of temperature were characterized by pronounced differences during the daytime (in summer) or nighttime (in winter) between the three regions. Results from the WRF modeling performed for four months of 2012 showed large variations in gridaverage temperature and winds in the UMR, which displayed significant changes by season. Especially, a clear temperature rise in the urban center was identified in July ($0.6^{\circ}C$ higher than nearby urban areas), and overall, relatively weak winds were simulated over urban and inland suburban regions in all seasons.

• Journal of Environmental Health Sciences
• /
• v.36 no.6
• /
• pp.465-471
• /
• 2010

This study aims to investigate the relationship between air pollution exposure and the prevalence of allergic rhinitis in a young population in the Ulsan metropolitan region (UMR). Data on physician-diagnosed allergic rhinitis (past 12 months) in 1,449 infants and children aged 1-18 years who lived within 1.5 or 2 km of air quality monitoring sites were collected in a cross-sectional health interview survey conducted between January-February 2006 in the UMR. Comparisons of the spatial distribution of the prevalence rates for allergic rhinitis and annual average pollutant concentrations over the region showed that a relatively high prevalence rate occurred around the coastal industrial area, with high PM10 concentrations. A linear correlation analysis demonstrated a positive correlation relationship between them (R = 0.680, p = 0.04). Multiple linear regression analysis revealed that the combined effect of the PM10 and $SO_2$ variables accounts for approximately 81% of the variance (R-square: 0.81) in the prevalence rate. From the multiple logistic regression analysis after adjustment by age, sex, and air-pollutant factors, the PM10 and $SO_2$ which were mainly from industrialrelated emissions were found to be significantly associated with an increased risk of allergic rhinitis (aOR: 1.76, 95% CI: 1.15-2.70 for PM10 ; aOR: 1.63, 95% CI: 1.12-2.35 for SO2).

• Journal of Urban Science
• /
• v.9 no.2
• /
• pp.21-30
• /
• 2020

The purpose of this study is to present a plan to distinguish 229 local governments nationwide by taking into account various characteristics such as population, employment, housing, and industry of the region for customized urban policies in the era of metropolitan areas. The National Statistical Portal (KOSIS) collected and standardized data related to population, housing, industry, and finance by region from 2000 to 2015 for the classification of regional types necessary for customized urban policies, and this was used to classify them into regional types that considered population, employment, housing and industry. The summary of the analysis results is as follows. First, as a result of the regional type classification, 10 key employment sites (4.4%), 5 employment centers (2.2%), 38 residential centers (16.6%), 20 growth areas (8.7%), 26 industrial cities (11.4%), 35 low-fertile farming and fishing villages (15.3%) and 95 stagnant areas (41.5%). Second, the Seoul metropolitan area is the most diverse type of metropolitan area in the country, with most of its core employment sites inside Seoul, residential centers inside and outside Seoul, and growth areas in the southeastern part of the country (Busan, Ulsan, and Gyeongsangnam-do) are mixed with industrial and growth areas centered around Busan, Ulsan and surrounding areas, while the rest of the local governments are found to be low-fertile farming villages or stagnant areas. Daegu (Daegu, Gyeongbuk) is an industrial city in Daegu, and the rest of the local governments are either low-density farming and fishing villages or stagnant areas. The Honam region (Gwangju and Jeolla) was found to be a low-mill farming and fishing village or stagnant area except for Gwangju, while the Chungcheong region (Daejeon, Sejong, and Chungcheong) was seen as a growth area with areas adjacent to Daejeon, Sejong, and the Seoul metropolitan area, and some industrial cities were included. Finally, the Gangwon area was mostly classified as low-density farming and fishing villages and stagnant areas.

• Journal of Navigation and Port Research
• /
• v.28 no.4
• /
• pp.317-322
• /
• 2004

The competitiveness of a country or a city plays an important role as a determining factor in this age of globalization In view of tourism studies, the potential for a region to develop depends primarily on its ability to use and maintain economic advantages in its provision of tourist products and services. In spite of the importance of competitiveness in tourism studies, few researches have been done on competitiveness in Korea The purpose of this study is, therefore, to conduct a comparative analysis of competitiveness between coastal metropolitan cities in Korea-Busan, Ulsan and Incheon- developing tourism index and finding out urban competitiveness. The findings of this study will contribute to enhancing tourism promotion and mutual network with other cities and attracting domestic and international tourists.

• Journal of Environmental Science International
• /
• v.25 no.1
• /
• pp.85-97
• /
• 2016

A comparison of ozone simulations in the seoul metropolitan region (SMR) using the community multiscale air quality (CMAQ) model with SAPRC99 and CB05 chemical mechanisms (i.e. EXP-SP99 and EXP-CB05) has been conducted during four seasons of 2012. The model results showed that the differences in average ozone concentrations between the EXP-SP99 and EXP-CB05 were found to be large in summer, but very small in the other seasons. This can be attributed that the SAPRC99 tends to produce more ozone than the CB05 in urban area like the SMR with low VOC/NOx ratio under high ozone conditions. Through quantitative comparison between two mechanisms for the summer, it was found that the average ozone concentrations from the EXP-SP99 were about 3 ppb higher than those from the EXP-CB05 and agreed well with the observations. Horizontal differences in ozone concentrations between SAPRC99 and CB05 showed that significant differences were found in southern part of the SMR and over the sea near the coast in summer.

• Journal of Korean Society for Atmospheric Environment
• /
• v.28 no.4
• /
• pp.365-373
• /
• 2012

This study compared indoor air quality of homes in which elementary school children with and without (case and control) allergic rhinitis live in the Ulsan metropolitan region (UMR). A total of 58 homes (case and control: 29, respectively; children aged 7 to 12 years) was selected for indoor air quality measurements. The concentrations of all general indoor air pollutants, except $PM_{2.5}$, in the case group were much higher than those in the control group. In particular, the average concentrations of $O_3$ and $NO_2$ in the case group were statistically significantly (p<0.05) higher than those in the control group. Average concentrations of $CO_2$ in the case and control groups and $NO_2$ in the case group exceeded the standard level. Some components of aldehydes and ketones and VOCs indicated large difference of average concentrations between two groups, but there were no statistically significant differences.

• Journal of Environmental Science International
• /
• v.29 no.1
• /
• pp.45-54
• /
• 2020

High-resolution meteorological simulations were conducted using a Weather Research and Forecasting (WRF) model with an Urban Canopy Model (UCM) in the Ulsan Metropolitan Region (UMR) where large-scale industrial facilities are located on the coast. We improved the land cover input data for the WRF-UCM by reclassifying the default urban category into four detailed areas (low and high-density residential areas, commercial areas, and industrial areas) using subdivided data (class 3) of the Environmental and Geographical Information System (EGIS). The urban area accounted for about 12% of the total UMR and the largest proportion (47.4%) was in the industrial area. Results from the WRF-UCM simulation in a summer episode with high temperatures showed that the modeled temperatures agreed greatly with the observations. Comparison with a standard WRF simulation (WRF-BASE) indicated that the temporal and spatial variations in surface air temperature in the UMR were properly captured. Specifically, the WRF-UCM reproduced daily maximum and nighttime variations in air temperature very well, indicating that our model can improve the accuracy of temperature simulation for a summer heatwave. However, the WRF-UCM somewhat overestimated wind speed in the UMR largely due to an increased air temperature gradient between land and sea.