• Title/Summary/Keyword: South-East Region

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The Study of Correlations between Air-Sea Temperature Difference and Precipitation and between Wind and Precipitation in the Yeongdong Coastal Region in Relation to the Siberian High (겨울철 시베리아 고기압과 관련된 영동 해안 강수량과 해기차 및 바람의 상관성에 관한 연구)

  • Song, Ji-Ae;Lee, Jae Gyoo;Kim, Yu-Jin
    • Atmosphere
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    • v.26 no.1
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    • pp.127-140
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    • 2016
  • In this study, the correlations between AST850 and precipitation, and those between WDT and precipitation in the Yeongdong coastal region under the direct/indirect influence of the expansion of cP (continental polar air mass) high were quantitatively analyzed based on the winter season data for the last 20 years, according to surface pressure patterns such as Type 1 (cP high expansion type), Type 2 (cP high expansion + trough type), Type 4 (South trough type), and Type 5 (East Sea trough type). Here, AST850 represents 'sea surface temperature minus temperature on 850 hPa level' and WDT represents 'a speed of 1000 hPa wind projected onto a certain wind direction times precipitation duration in hour'. First, the correlation coefficients between AST850 and precipitation in Type 1, Type 2, and Type 5 cases were 0.253, 0.384, and 0.398 respectively, indicating that a tendency of increasing precipitation linearly with the value of AST850 is slightly presented. In the case of Type 4, however, the coefficient was -0.15, representing almost no linear correlation between AST850 and precipitation. In the correlation between WDT and precipitation, there was the largest correlation coefficient (0.464) between WDT along a direction of $90^{\circ}$ and at EN1 in Type 1 cases. In the case of Type 2, there was the largest correlation coefficient (0.767) between WDT along a direction of $67.5^{\circ}$ and at ES1. In the case of Type 4, there was the largest correlation coefficient (0.559) between WDT along a direction of $22.5^{\circ}$ and at EN2. Finally, in the case of Type 5, there was the largest correlation coefficient (0.945) between WDT along a direction of $315^{\circ}$ and at SE1, representing the largest coefficient among the types. It was found that surface wind directions with the highest correlations to precipitation in the Yeongdong coastal area on winter season were varied according to surface pressure patterns, and that the correlations between WDT and precipitation were higher than those between AST850 and precipitation.

The Demand Estimation Studies for the Establishment of the Second Convention Center in Busan : With the emphasis on time series analysis and Huff model (부산광역시 제2전시컨벤션센터 건립을 위한 수요예측연구 - 시계열분석과 Huff모형을 중심으로 -)

  • Oh, Chang-Ho;Ha, Seuong-Bum
    • Management & Information Systems Review
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    • v.36 no.3
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    • pp.185-202
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    • 2017
  • This study suggests the estimation of the demand for the exhibition center in Busan and to valid reasons for the establishment of the 2nd Convention Center in Busan. The validity for the estimated demand is acquired by examining the studies conducted by the Ministry of Commerce Industry and Energy. The qualitative data for the phased establishment of the area is suggested in accordance to the results of the demand estimation. From previous study(Oh, 2017), Kangseo-gu, Busan has been evaluated to be the final candidate for building a new convention center in the city of Busan. The potential synergy effects of on-going developmental projects in Kangseo region is one of the influential factors for the MICE professionals' opinion in the qualitative analysis. Moreover, the region has available land to hold the facility of more than 100,000 square meter to overcome the current drawback of BEXCO, insufficient space to hold large events. Lastly, the expansion of Gimhae International Airport would bring an increased international flights that would also lead to an increase in MICE industry for the region. The virtual effect of the more than one million $m^2$-sized oconvention center is examined via Huff Model and the results suggests a logical estimated data for further demand needed for the south east regions, not just within the city of Busan.

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A Study on the Measurement of Knowledge Relatedness Density and Technological Complexity in South-east Region (동남권 지역의 지식 간 연관성 밀도와 기술 복합성 측정에 관한 연구)

  • Park, Gi-Woong;Kim, Donghyun
    • Journal of the Korean Regional Science Association
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    • v.37 no.3
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    • pp.3-18
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    • 2021
  • The fourth Industrial Revolution is transforming the industrial structure of the region, and it is necessary to develop new industries and technologies that reflect regional characteristics. The purpose of this study is to measure the knowledge relatedness and technological complexity in Busan, Ulsan, and Gyeongnam, and to identify technologies with potential for regional industrial differentiation strategies. Using patent data from 2015 to 2019, co-occurrence matrices were derived from 652 IPC codes, and the knowledge relatedness density and technology complexity index were calculated. Network analysis was performed using the knowledge relatedness density. As a result of analysis, it was found that mechanical engineering occupied a large proportion, followed by chemistry and electrical engineering. As a result of applying the risk-benefit framework to derive technologies with the potential to differentiate local industries, the technological capabilities of low-risk-high-benefit were different. Among mechanical engineering, technologies such as engine, machine operation, and transportation were included in Busan. In Ulsan, environmental technology in chemical and materials, and heat treatment technology in mechanical engineering were technologies with low-risk and high-benefit capabilities. Gyeongnam showed competence in mechanical engineering, chemistry, and electrical engineering in some areas such as Gimhae, Yangsan, and Changwon. The results of this study are meaningful in that they identified technologies with potential for selecting and deriving strategic industries for regional growth based on latent knowledge in the region.

Classification of Cultivation Region for Soybean (Glycine max [L.]) in South Korea Based on 30 Years of Weather Indices (평년기상을 활용한 우리나라의 콩 재배지역 구분)

  • Dong-Kyung Yoon;Jaesung Park;Jinhee Seo;Okjae Won;Man-Soo Choi;Hyeon Su Lee;Chaewon Lee
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.69 no.1
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    • pp.49-60
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    • 2024
  • A region can be divided into cultivation zones based on homogeneity in weather variables that have the greatest influence on crop growth and yield. This study classified the cultivation zone of soybean using weather indices as a prior study to classify the agroclimatic zone of soybean. Meteorological factors affecting soybeans were determined through correlation analysis over a 10 year period (from 2013 to 2022) using data from the Miryang and Suwon regions collected from the soybean yield trial database of the Rural Development Administration, Korea and the meteorological database of the Korea Meteorological Administration. The correlation between growth characteristics and the minimum temperature, daily temperature range, and precipitation were high during the vegetative growth stages. Moreover, the correlation between yield components and the maximum temperature, daily temperature range, and precipitation were high during the reproductive growth stages. As a result of k-means clustering, soybean cultivation zones were divided into three zones. Zone 1 was the central inland region and southern Gyeonggi-do; Zone 2 was the southern part of the west coast, the southern part of the east coast, and the South Sea; and Zone 3 included parts of eastern Gyeonggi-do, Gangwon-do, and areas with high altitudes. Zone 1, which has a wide latitude range, was further subdivided into three cultivation zones. The results of this study may provide useful information for estimating agrometeorological characteristics and predicting the success of soybean cultivation in South Korea.

A Study on the Spatial Range of DMZ (DMZ의 공간적 범위에 관한 연구)

  • Kim, Chang-Hwan
    • Journal of the Korean association of regional geographers
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    • v.13 no.4
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    • pp.454-460
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    • 2007
  • Korean War resulted in the fact that Demilitarized Zone (DMZ) on the neck of Korean peninsular was totally forgotten by people for more than half a century. But recently, as the concern in this DMZ has been rising inside and outside of Korea, the researches on this subject have been gradually quickening. However, the practical studies about spatial extent of DMZ are very feeble. Even the analysis of the previous studies shows that the most of researches had mistakes in the spatial description of MDL and DMZ, neutral territory of Han River estuary, and NLL. In this study the length of MDL, stretching till the estuary of western Lim- Jin River in Myung-Ho Ri of Goseong region on East Coast, was measured to be about Z38km (l48miles); the area of corresponding DMZ was proved to be approximately $903.8km^2$ ($907.3km^2$ in the previous studies). Such results show that it is necessary to decide the terms for calling the space dividing North and South Korea, similarly to "155-mile truce line".

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Correlates of Digit Bias in Self-reporting of Cigarette per Day (CPD) Frequency: Results from Global Adult Tobacco Survey (GATS), India and its Implications

  • Jena, Pratap Kumar;Kishore, Jugal;Jahnavi, G.
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.6
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    • pp.3865-3869
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    • 2013
  • Background: Cigarette per day (CPD) use is a key smoking behaviour indicator. It reflects smoking intensity which is directly proportional to the occurrence of tobacco induced cancers. Self reported CPD assessment in surveys may suffer from digit bias and under reporting. Estimates from such surveys could influence the policy decision for tobacco control efforts. In this context, this study aimed at identifying underlying factors of digit bias and its implications for Global Adult Tobacco Surveillance. Materials or Methods: Daily manufactured cigarette users CPD frequencies from Global Adult Tobacco Survey (GATS) - India data were analyzed. Adapted Whipple Index was estimated to assess digit bias and data quality of reported CPD frequency. Digit bias was quantified by considering reporting of '0' or '5' as the terminal digits in the CPD frequency. The factors influencing it were identified by bivariate and logistic regression analysis. Results: The mean and mode of CPD frequency was 6.7 and 10 respectively. Around 14.5%, 15.1% and 15.2% of daily smokers had reported their CPD frequency as 2, 5 and 10 respectively. Modified Whipple index was estimated to be 226.3 indicating poor data quality. Digit bias was observed in 38% of the daily smokers. Heavy smoking, urban residence, North, South, North- East region of India, less than primary, secondary or higher educated and fourth asset index quintile group were significantly associated with digit bias. Discussion: The present study highlighted poor quality of CPD frequency data in the GATS-India survey and need for its improvement. Modeling of digit preference and smoothing of the CPD frequency data is required to improve quality of data. Marketing of 10 cigarette sticks per pack may influence CPD frequency reporting, but this needs further examination. Exploring alternative methods to reduce digit bias in cross sectional surveys should be given priority.

Proposal Methodology for Disaster Risk Analysis by Region Using RFM Model (RFM 모형을 활용한 지역별 재해 위험도 분석 방법론 제안)

  • Kim, TaeJin;Kim, SungSoo;Jeon, DaHee;Park, SangHyun
    • Journal of the Society of Disaster Information
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    • v.16 no.3
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    • pp.493-504
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    • 2020
  • Purpose: The purpose of this study is to propose an analytical methodology for selecting the priority of preventive projects in the course of carrying out disaster prevention projects that improve disaster-hazardous areas. Method: Data analysis was performed using RFM model which can divide data grade and perform target marketing based on Recency, Frequency, and Monetary. Result: The top 10% of the area with high RFM value was mainly in the East Sea and the South Sea coast, and the number of damage in private facilities was high. Conclusion: In this study, we used the RFM model to select the priority of disaster risk and to implement the regional disaster risk using GIS. These results are expected to be used as basic data for selecting priority project sites for disaster prevention projects and as basic data in the decision-making process for disaster prevention projects.

Provenance Study on Ancient Lead Glass Relics Using a Lead Isotope Ratio (납동위원소비를 이용한 고대 납유리 유물의 산지추정)

  • Han, Min Su;Kim, So Jin
    • Journal of the Mineralogical Society of Korea
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    • v.28 no.2
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    • pp.187-193
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    • 2015
  • The purpose of the present study is to trace the provenance of lead raw materials using the lead isotope ratio of 9 lead glasses excavated from the Sarira hole of Mireuksaji stone pagoda and to determine correlation between them and other lead glasses excavated from the Wanggungri site. The results of chemical analysis of the 9 lead glasses show that they are common lead glass system($PbO-SiO_2$) with respect to the contents of PbO (70 wt.%) and $SiO_2$ (30 wt.%). The lead isotope ratios of them plot to northern Korean peninsula when applied to the distribution map of lead isotopes of East Asia. On the other hand, southern Korean peninsula is verified as the main deposits of the lead ore in the distribution map of lead isotopes of South Korea. With respect to the results, it is notable that the provenance of the 9 lead glasses can be very different depending on the distribution map. In addition, a comparative study between them and the lead glasses excavated from the Wanggungri which was built in the same region and period shows that their lead isotopes are highly correlated.

CLIMATE CHANGE IMPACT OVER INDIAN AGRICULTURE - A SPATIAL MODELING APPROACH

  • Priya, Satya;Shibasaki, Ryosuke
    • Proceedings of the KSRS Conference
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    • 1999.11a
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    • pp.107-114
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    • 1999
  • The large-scale distribution of crops Is usually determined by climate. We present the results of a climate-crop prediction based on spatial bio-physical process model approach, implemented in a GIS (Geographic Information System) environment using several regional and global agriculture-environmental databases. The model utilizes daily climate data like temperature, rainfall, solar radiation being generated stocastically by in-built model weather generator to determine the daily biomass and finally the crop yield. Crops are characterized by their specific growing period requirements, photosynthesis, respiration properties and harvesting index properties. Temperature and radiation during the growing period controls the development of each crop. The model simulates geographic/spatial distribution of climate by which a crop-growing belt can also be determined. The model takes both irrigated and non-irrigated area crop productivity into account and the potential increase in productivity by the technical means like mechanization is not considered. All the management input given at the base year 1995 was kept same for the next twenty-year changes until 2015. The simulated distributions of crops under current climatic conditions coincide largely with the current agricultural or specific crop growing regions. Simulation with assumed weather generated derived climate change scenario illustrate changes in the agricultural potential. There are large regional differences in the response across the country. The north-south and east-west regions responded differently with projected climate changes with increased and decreased productivity depending upon the crops and scenarios separately. When water was limiting or facilitating as non-irrigated and irrigated area crop-production effects of temperature rise and higher $CO_2$ levels were different depending on the crops and accordingly their production. Rise in temperature led to yield reduction in case of maize and rice whereas a gain was observed for wheat crop, doubled $CO_2$ concentration enhanced yield for all crops and their several combinations behaved differently with increase or decrease in yields. Finally, with this spatial modeling approach we succeeded in quantifying the crop productivity which may bring regional disparities under the different climatic scenarios where one region may become better off and the other may go worse off.

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A Study on the Costume of Loulan - Centered Around Interrelationship with Ancient Korean Costume - (누란(樓蘭) 복식 연구 - 고대 한국복식과의 상관관계를 중심으로 -)

  • Chae, Keum-Seok;Kim, Eun-Kyoung
    • Journal of the Korea Fashion and Costume Design Association
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    • v.18 no.3
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    • pp.197-211
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    • 2016
  • Loulan was an ancient kingdom located on the northeast of the Taklamakan Desert, a diverging point between the north and south of Silk Road, on the east of the current Turpan, from the 2nd century BC and the 7th century A.D, absorbing and propagating culture of both sides through active trade. Meanwhile, as many previous research investigations suggest the early trade between Korea and the countries bordering on Western China, characteristics of Loulan costume have been found to have similarity to those of ancient Korean costume. Also, it can be compared to costume in other surrounding regions. Therefore, it is a highly valuable region in researching ancient costume. This study examined the historical background of Loulan and its relationship with ancient Korea, analyzed the clothes found in historic sites of Louland and Niya, and compared costume elements of Loulan and those of Korea. The result of the study shows that first, the Loulan Jeogori was based on the Jikryeonggyoim, with Chaksu, narrow sleeves and the length coming between below the chest and above the bottom, and the line decoration and waist belt were very similar to Korean costumes, as well as the Banryeong, curved collar and Bansu, short sleeves. Second, the types of pants included Gunggo, characterized by closed bottom and many creases, and Daegugo, wide-leg trousers, which are very similar in shape to the Korean Shilla lay sculpture, Stele To Martyr Yi Ch'a-don, Yangjikgongdo and Wangheedo. Third, in accessories as well, the Jowu stuck on the Gwanmo is similar in the shapes to Korean costume.

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