Surface Wind Regionalization Based on Similarity of Time-series Wind Vectors

김진솔,김현구,박형동 한국대기환경학회 2016 Asian Journal of Atmospheric Environment (AJAE) Vol.10 No.2

In the complex terrain where local wind systems are formed, accurate understanding of regional wind variability is required for wind resource assessment. In this paper, cluster analysis based on the similarity of time-series wind vector was applied to classify wind regions with similar wind characteristics and the meteorological validity of regionalization method was evaluated. Wind regions in Jeju Island and Busan were classified using the wind resource map of Korea created by a mesoscale numerical weather prediction modeling. The evaluation was performed by comparing wind speed, wind direction, and wind variability of each wind region. Wind characteristics, such as mean wind speed and prevailing wind direction, in the same wind region were similar and wind characteristics in different wind regions were meteor- statistically distinct. It was able to identify a singular wind region at the top area of Mt. Halla using the inconsistency of wind direction variability. Furthermore, it was found that the regionalization results correspond with the topographic features of Jeju Island and Busan, showing the validity.

Surface Wind Regionalization Based on Similarity of Time-series Wind Vectors

Kim, Jinsol,Kim, Hyun-Goo,Park, Hyeong-Dong Korean Society for Atmospheric Environment 2016 Asian Journal of Atmospheric Environment (AJAE) Vol.10 No.2

In the complex terrain where local wind systems are formed, accurate understanding of regional wind variability is required for wind resource assessment. In this paper, cluster analysis based on the similarity of time-series wind vector was applied to classify wind regions with similar wind characteristics and the meteorological validity of regionalization method was evaluated. Wind regions in Jeju Island and Busan were classified using the wind resource map of Korea created by a mesoscale numerical weather prediction modeling. The evaluation was performed by comparing wind speed, wind direction, and wind variability of each wind region. Wind characteristics, such as mean wind speed and prevailing wind direction, in the same wind region were similar and wind characteristics in different wind regions were meteor-statistically distinct. It was able to identify a singular wind region at the top area of Mt. Halla using the inconsistency of wind direction variability. Furthermore, it was found that the regionalization results correspond with the topographic features of Jeju Island and Busan, showing the validity.

지역경제 변수를 이용한 대전시 아파트가격 영향에 관한 연구

이석원(Lee, Seok-Won),정승화(Jung, Seung-Hwa),박태영(Park, Tea-Young) 한국부동산정책학회 2017 不動産政策硏究 Vol.18 No.2

This research understood the influence variables through the macroeconomic data within the region differently from the analyses of the past which had been proceeded fragmentarily despite the fact that, in the analysis of the influences of the apartment prices through the macroeconomic variables, the different influences had been possessed according to the region. In order to take a look at the influence relationships of the index of the prices of the apartments in the Daejeon City, regarding the variables used for this research, the influence relationships were analyzed based on the regional variables of the total production within the region, the consumer price index within the region, the amount of transaction, the unsold apartments, the economically active population, and the employment rate. First, in order to test the stabilities of the macroeconomic variables, the unit roots test was proceeded with. And, regarding the index of the prices of the apartments in the Daejeon City, the economical activity index, the employment rate, and the not-yet-sold apartments variable were stabilized through the 1st level differences. And the variable of the total production within the region was stabilized through the 2nd level differences. As a result of the Granger causal relationship analysis, it appeared that the amount of transaction had an influence on the index of the prices of the apartments in the Daejeon City. And, as a result of testing the linear relationships of the individual variables, it appeared that the cointegration relationship was established with regard to the over 4 variables. As a result, the setup of a model was proceeded with the VEC Model. And the 1st level model was selected as the optimal model. As a result of the model, in the long-term balance relationship, it appeared that the amount of the transactions and the rate of employment had the positive (+) influences. And, in the short-term balance relationship, it appeared that the consumer price index is influenced by the amount of transaction and that the amount of transaction is influenced by the employment rate.

재정변수 및 비재정변수가 지역경제에 미치는 영향: 16개 시도를 중심으로

박완규 ( Wan Kyu Park ),김두수 ( Du Su Kim ) 한국경제지리학회 2014 한국경제지리학회지 Vol.17 No.3

This paper analyses the relationship between regional economic power defined as GRDP percapita and various socioeconomic variables such as fiscal variables(revenue, expenditure, etc.) as well asnonfiscal variables(population, ratio of old population, unemployment rate, dependency ration) using the pooling data of 16 local governments from 1998 to 2012. To put it concretely, following the Granger causality test, regression analysis has been done with the regional economic power being the dependent and variables which have either one or two direction causality being independent variables. And test of cumulative effects has been done with variables showing statistical significance in the regression analysis. Local tax revenues per capita, expenditures of social development per capita and median age have positive effects, while dependency ratio has negative effect on regional economy. And national subsidy per capita, local tax revenues per capita, expenditures of social development per capita and median age all have cumulative effects on regional economy.

Research Articles : Localizing Growth Model of Chamaecyparis obtusa Stands Using Dummy Variables in a Single Equation

( Sang Hyun Lee ),( Hyun Kim ) 한국산림과학회 2005 한국산림과학회지 Vol.94 No.2

This study was carried out to construct a single diameter and a single height model that could localize Chamaecyparis obtusa stand grown in 3 Southern regions of Korea. Dummy variables, which convert qualitative information such as geographical regions into quantitative information by means of a coding scheme (0 or 1), were used to localize growth models. In results, modified form of Gornpertz equation, Y₂=exp(In(Y₁)exp(-β(T₂-T₁)+γ(T¹₂-T²₁))+(α+α₁A1-β₁k₁+β₂k₂)(1-exp(-β(T₂-T₁)+γ(T¹₂-T²₁)), for diameter and height was successfully disaggregated to provide different projection equation for each of the 3 regions individually. The use of dummy variables on a single equation. Therefore, provides potential capabilities for testing the justification of having different models for different sub-populations, where a number of site variables such as altitude, annual rainfall and soil type can be considered as possible variables to explain growth variation across regions.

Localizing Growth Model of Chamaecyparis obtusa Stands Using Dummy Variables in a Single Equation

이상현,김현 한국산림과학회 2005 한국산림과학회지 Vol.94 No.2

This study was carried out to construct a single diameter and a single height model that could localize Chamaecyparis obtusa stand grown in 3 Southern regions of Korea. Dummy variables, which convert qualitative information such as geographical regions into quantitative information by means of a coding scheme (0 or 1), were used to localize growth models. In results, modified form of Gompertz equation, Y2=exp(ln(Y1)exp(-b(T2-T1)+g(T22-T12))+(a+a1Al+b1k1+b2k2)(1-exp(-b(T2-T1)+g(T22-T12)), for diameter and height was successfully disaggregated to provide different projection equation for each of the 3 regions individually. The use of dummy variables on a single equation, therefore, provides potential capabilities for testing the justification of having different models for different sub-populations, where a number of site variables such as altitude, annual rainfall and soil type can be considered as possible variables to explain growth variation across regions.

Extended Three Region Partitioning Method of Loops with Irregular Dependences

정삼진 한국융합학회 2015 한국융합학회논문지 Vol.6 No.3

This paper proposes an efficient method such as Extended Three Region Partitioning Method for nested loops with irregular dependences for maximizing parallelism. Our approach is based on the Convex Hull theory, and also based on minimum dependence distance tiling, the unique set oriented partitioning, and three region partitioning methods. In the proposed method, we eliminate anti dependences from the nested loop by variable renaming. After variable renaming, we present algorithm to select one or more appropriate lines among given four lines such as LMLH, RMLH, LMLT and RMLT. If only one line is selected, the method divides the iteration space into two parallel regions by the selected line. Otherwise, we present another algorithm to find a serial region. The selected lines divide the iteration space into two parallel regions as large as possible and one or less serial region as small as possible. Our proposed method gives much better speedup and extracts more parallelism than other existing three region partitioning methods.

지역 경제변수와 지역 고용성장 간 관계

최지혜,김일태 국토연구원 2015 국토연구 Vol.86 No.-

This study examines the long-run equilibrium relationship between regional economic variables and local employment growth using the panel data of 16 regions from 1995 to 2013 in Korea. This study uses the GRDP, wage, and public expenditure for the explanatory variables. This study estimates long-run equilibrium equation in terms of panel cointegration relationships between the variables which have the unit roots using the FMOLS(Fully Modified OLS) estimation. This study shows that GRDP and public expenditure have positive impacts on total industrial employment and service industrial employment. Moreover, if the variables deviate from equilibrium, then error correction term converges to the Long-Run equilibrium. This study also reveals that service industrial sector has higher impact than total industrial sector and that the wage variable has a negative effect on employment. 본 논문은 지역 경제변수와 지역 고용성장 간의 장기균형관계를 확인하기 위해 1995년부터 2013년까지 16개 시˙도의 패널자료를 이용해 실증분석을 시도하였으며, 고용성장의 설명변수로 지역내총생산(GRDP)과 지방재정지출, 월평균 임금을 설정하였다. 본 논문은 지역의 전 산업과 서비스업 분야에서 불안정한 패널변수들 간의 선형 결합에 패널 공적분 관계가 존재함을 확인하고, FMOLS 추정을 이용하여 장기균형식을 도출하였다. 본 논문은 FMOLS 추정 결과 지역내총생산과 지방재정지출의 증가가 지역 고용을 증가시키는 정(+)의 장기균형관계를 가지며, 또한 오차수정모형의 추정을 통해 이들 변수들이 균형에서 벗어나는 경우 오차수정계수의 조정속도로 균형으로 수렴한다는 것을 확인하였다. 그리고 서비스업 분야에서 그 효과가 더 크게 나타나고, 임금변수의 경우 장기적으로 고용에 부(-)의 영향을 미치는 균형관계를 갖는다

Damage monitoring of variable cross-section region in a column-drilled shaft assembly using smart aggregates

Jie Tan,Mahadi Masud,Xiaoming Qin,Cheng Yuan,Qingzhao Kong,Y.L.Mo 국제구조공학회 2021 Smart Structures and Systems, An International Jou Vol.28 No.5

Pier column, as the most critical load-bearing member of bridge, can bear multiple loads including axial forces,shear forces, bending moments, etc. The varied cross section at the column interface and bearing platform or drilled shaft leads to harmful stress concentration that can potentially compromise the structural integrity. In order to improve the ductility of bridge structure, a pier column is often designed with a variable cross-section region to dissipate energy through plastic deformation. For better understanding the health condition of pier column in its service life, it is of great significance to obtain the damage severity information in the variable cross-section region. This study utilizes an active sensing method enabled by distributed Lead Zirconate Titanate (PZT)-based Smart Aggregate (SA) sensors to monitor the damage initiation and development near the bottom of a pier column. Crack damage in variable cross-section region functions as a stress relief that attenuates propagating stress wave energy between SA pairs. Both the numerical and experimental results show that the reduction ratio of the stress wave energy is consistent with the crack development, thus validating the reliability of the investigated approach. SA-based technology can be used as a potential tool to provide early warning of damage in variable cross-section region of bridge structures.

문화지수와 사회경제적 변수 간의 상관관계에 대한 연구

이경진,조현성,박준홍 한국지역문화학회 2025 지역과 문화 Vol.12 No.4

This study analyzes the correlations between five regional cultural indices—cultural policies(CP), cultural resources(CR), cultural activities(CA), cultural enjoyment(CE), and the comprehensive cultural index(CI)—and five socioeconomic variables, including financial independence(FI), gross regional income per capita(GRI), population density(PD), aging index(AI), and population growth rate(PGR), using Pearson correlation coefficients based on the Ministry of Culture, Sports and Tourism’s (2025) Survey on Local Culture as of 2023. The results and their policy implications can be summarized as follows. First, CP shows low levels of correlation with CA, CE, and CI, suggesting that policy inputs do not follow a linear path that directly enhances cultural outcomes. This indicates that strengthening CP does not necessarily lead to improvements in the cultural quality of life, and that future policy design should examine the coherence of policy content, delivery structures, and operational mechanisms rather than merely increasing the volume of inputs. Second, CR shows very high correlations with CA and CE, as well as a clear positive correlation with CI. This pattern suggests that regions with abundant CR tend to exhibit higher levels of cultural practice and experience; therefore, expanding CR can be considered a strategic policy direction when the goal is to enhance the cultural life of residents. Third, regions with higher FI, PD, and PGR display higher levels of CR, CA, and CI compared to regions with higher AI, indicating pronounced spatial disparities between metropolitan and non-metropolitan areas and between urban and rural regions in terms of cultural quality of life. Accordingly, policy efforts should strengthen resource allocation to non-metropolitan rural areas—such as agricultural, remote, and mountainous regions—and prioritize improving conditions related to CR, CA, and CE rather than focusing on cultural institutional factors like the number of ordinances, administrative personnel ratios, or project counts.