• Title/Summary/Keyword: southeastern region

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Analysis of the Trends of Supply and Demand of Aggregate in the Southeastern Region of South Korea (동남권 골재수급 및 시장 동향 분석)

  • Choi, Se-Jin;Kim, Young-Uk;Kim, Do-Bin
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2018.05a
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    • pp.324-325
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    • 2018
  • Recently, the supply and demand of aggregate in the Southeast region has been disrupted because supply of sea sand decreased due to discontinuation of collecting the EEZ aggregate in the southern sea. This study analyzed the Trends of Supply and Demand of Aggregate in the Southeastern Region of South Korea in order to find a solution these social problem.

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The southeastern region of the Vela SNR

  • Kim, Il-Joong;Seon, Kwang-Il;Min, Kyoung-Wook
    • The Bulletin of The Korean Astronomical Society
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    • v.35 no.2
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    • pp.69.2-69.2
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    • 2010
  • We investigate the southeastern region of the Vela supernova remnant (SNR) in the multi-wavelength domains. This region is quite interesting because it includes the bullet feature D/D´ and another SNR (the Vela Jr.). The C IV $\lambda\lambda1548$, 1551 emission-line morphologies obtained from the FIMS/SPEAR data show that there are several local peaks of C IV on the bullet D/D´ and the Vela Jr. SNR. This may provide clues to direct interaction between both SNRs. Also, we found that the southeastern side of the Vela is in direct contact with an H-alpha ring feature whose central source seems to be a B-type star, HD 76161. The C IV emission peaks along this contact boundary. We investigate this interacting region in detail.

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The Impact of Regional Economic Growth on Intraregional Disparities in Korea (지역경제 성장에 따른 지역 내부의 경제적 격차 추정에 관한 연구)

  • Lee, Ju-Han;Kim, Donghyun
    • Journal of the Korean Regional Science Association
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    • v.36 no.3
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    • pp.29-40
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    • 2020
  • The aims of this study to identify the relationship between regional economic growth and intraregional regional disparities. The 16 metropolitan area, the Capital region and the southeastern region of Korea were put in the spatial scope and the time range from 2005 to 2016. Regional gross domestic product data were used to show regional growth and intraregional disparity. Panel data for each spatial unit were established, panel unit root test and panel cointegration test were conducted to check the stability of the data. The DOLS method was used to identify relationship between regional economic growth and intraregional disparity, and the VECM model and Granger causality test was conducted to verify causality. The result of analysis of 16 metropolitan area units showed that the intraregional disparity increases as regional economic growth progresses. When the regional gross domestic product increased by 1%, the intraregional disparity increased by 1.258%, and there are short-term and long-term causality. Both the Capital region and the southeastern region had a mutual relationship between regional economic growth and intraregional disparity, but the disparity in the Capital region showed an increase and the southeastern region showed a decrease. The results of this study show that the regional disparity is increasing nationwide, but the Capital region and the southeastern region showed different stages of growth.

Study on the Power Performance on WindPRO Prediction in the Southeast Region of Jeju Island (제주 남동부 지역을 대상으로 한 WindPRO의 발전량 예측에 관한 연구)

  • Hyun, Seunggun;Kim, Keonhoon;Huh, Jongchul
    • 한국신재생에너지학회:학술대회논문집
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    • 2010.06a
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    • pp.184.1-184.1
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    • 2010
  • In order to research the way to evaluate wind resource without actual Met Mast data, this paper has been carried out on the southeastern region of Jeju island, Korea. Although wind turbine has been an economical alternative energy resource, misjudging the prediction of lifetime or payback period occurs because of the inaccurate assessment of wind resource and the location of wind turbine. Using WindPRO(Ver. 2.7), a software for wind farm design developed by EMD from Denmark, wind resources for the southeastern region of Jeju island was analyzed, and the performance of WindPRO prediction was evaluated in detail. Met Mast data in Su-san 5.5Km far from Samdal wind farm, AWS in Sung-san 4.5km far from Samdal wind farm, and Korea Wind Map data had been collected for this work.

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Social Consensus on the Marine Sand Mining of the Southeastern EEZ Region (남해 EEZ 바다골재 채취에 대한 사회적 합의방안)

  • Park, Sun-Gyu
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2018.05a
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    • pp.330-331
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    • 2018
  • It's prohibited to take sand from southeastern EEZ(Exclusive Economic Zone) from January 2017 in korea. So, the supply of sea sand has been decreased and costs of sea sand are rising as a result in the southeast region. This paper deal with appropriateness of the taking sea sand, circumstance and fisheries damages by extraction of EEZ sand and proposed control measures for ensuring quality of sea sand and consider fishermen support plan for ensuring a stable supply of sand in southeast region of korea.

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PM2.5 Source Apportionment Analysis to Investigate Contributions of the Major Source Areas in the Southeastern Region of South Korea (동남지역 주요 배출지역의 PM2.5 기여도 분석)

  • Ju, Hyeji;Bae, Changhan;Kim, Byeong-Uk;Kim, Hyun Cheol;Yoo, Chul;Kim, Soontae
    • Journal of Korean Society for Atmospheric Environment
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    • v.34 no.4
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    • pp.517-533
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    • 2018
  • We utilize the CAMx (Comprehensive Air Quality Model with eXtensions) system and the PSAT (Particulate Source Apportionment Technology) diagnostic tool to determine the $PM_{2.5}$ concentration and to perform its source apportionment in the southeastern region of South Korea. For a year-long simulation, eight local authorities in the region such as Pohang, Daegu, Gyeongju, Ulsan, Busan-Gimhae, Gosung-Changwon, Hadong, and all remaining areas in Gyeongsangnam-do, are selected as source areas based on the emission rates of $NO_x$, $SO_x$, VOC, and primary PM in CAPSS (Clean Air Policy Support System) 2013 emissions inventory. The CAMx-PSAT simulation shows that Pohang has the highest $PM_{2.5}$ self-contribution rate (25%), followed by Hadong (15%) and Busan-Gimhae (14%). With the exception of Pohang, which has intense fugitive dust emissions, other authorities are strongly affected by emissions from their neighboring areas. This may be measured as much as 1 to 2 times higher than that of the self-contribution rate. Based on these estimations, we conclude that the efficiency of emission reduction measures to mitigate $PM_{2.5}$ concentrations in the southeastern region of South Korea can be maximized when the efforts of local or regional emission controls are combined with those from neighboring regions. A comprehensive control policy planning based on the collaboration between neighboring jurisdictional boundaries is required.

Seropositivity Rates of Strongyloides stercoralis Antibody in the Southeastern Region of Republic of Korea: A Single-Center Retrospective Study

  • Kim, Taehwa;Lim, Seungjin
    • Parasites, Hosts and Diseases
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    • v.60 no.3
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    • pp.181-185
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    • 2022
  • Strongyloides stercoralis infection is not endemic in the Republic of Korea (Korea) with a positivity rate of <1% in stool examination. However, there is a risk of hyperinfection in immunosuppressed individuals. It is necessary to determine the seropositivity of S. stercoralis antibodies in Korea. This study investigated the seropositivity of S. stercoralis antibodies in the southeastern area of Korea. From January 2019 to June 2021, serum samples were collected from participants who visited the study center in the southeastern region of Korea for routine health check-ups. We determined serum levels of specific anti-Strongyloides IgG antibodies in 834 samples by enzyme-linked immunosorbent assay. We observed that 92 samples (11.0%) tested showed a positive response. The age of the participants was 51±10.7 years, and 43.4% of them were men. The antibody positivity rate based on the location of the participants' residence were 12.3% (Gyoungsangnam-do), 10.2% (Busan), and 10.1% (Ulsan), respectively. Total eosinophil count was associated with positive test results (154.8±152.0 per mm3 versus 202.1±178.9 per mm3, P=0.006). Logistic regression analysis revealed that blood eosinophil count, age above 50 years, and residence in Sacheon were factors associated with the positive status of S. stercoralis antibody. Our finding suggests that it is necessary to test for S. stercoralis in actual clinical settings in Korea.

A Study of Multiple Scattering Model by Analytic Method for Southeastern Korea (한반도 남동부지역의 해석적방법에 의한 다중산란모델 연구)

  • Chung, Tae-Woong
    • Geophysics and Geophysical Exploration
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    • v.14 no.3
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    • pp.242-248
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    • 2011
  • By applying analytic method to the uniform model, the intrinsic and scattering quality factor ($Q_i^{-1}$ and $Q_s^{-1}$) was separated for the southeastern part of Korean Peninsula. The Multiple Lapse Time Window Analysis method was used to fit theoretical values with observations obtained 759 earthquake data. While previous study for the Korean Peninsula showed very low $Q_i^{-1}$ and $Q_s^{-1}$ reflecting inactive seismicity, southeastern Korea exhibited relatively high $Q_i^{-1}$ and $Q_s^{-1}$ values interpreted as higher seismicity than the other region in the peninsula.

Outbound Air Travel Demand Forecasting Model with Unobserved Regional Characteristics (미관찰 지역 특성을 고려한 내국인 국제선 항공수요 추정 모형)

  • YU, Jeong Whon;CHOI, Jung Yoon
    • Journal of Korean Society of Transportation
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    • v.36 no.2
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    • pp.141-154
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    • 2018
  • In order to meet the ever-increasing demand for international air travel, several plans are underway to open new airports and expand existing provincial airports. However, existing air demand forecasts have been based on the total air demand in Korea or the air demand among major cities. There is not much forecast of regional air demand considering local characteristics. In this study, the outbound air travel demand in the southeastern region of Korea was analyzed and the fixed-effects model using panel data was proposed as an optimal model that can reflect the inherent characteristics of metropolitan areas which are difficult to observe in reality. The results of model validation show that panel data analysis effectively addresses the spurious regression and unobserved heterogeneity that are difficult to handle in a model using only a few macroeconomic indicators with time series characteristics. Various statistical validation and conformance tests suggest that the fixed-effects model proposed in this study is superior to other econometric models in predicting demand for international demand in the southeastern region.