• 한국환경복원기술학회지
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• 제23권1호
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• pp.89-96
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• 2020

Adverse impact of Particulate Matters(PM10, PM2.5; PMs) significantly affects daily lives. Major countermeasures for reducing concentration of PMs were focused on emission source without considering spatial difference of PMs concentration. Thus, this study analyzed spatial·temporal distribution of PMs with observation data as well as potential contributing factors on PMs concentration. The annual average concentration of PMs have been decreased while the particulate matter warnings and alerts were significantly increased in 2018. The average concentration of PMs in spring and winter was higher than the other seasons. Also, the spatial distribution of PMs were also showed seasonality while concentration of PMs were higher in Seoul-metropolitan areas in all seasons. Climate variables, emission source, spatial structure and potential PM sinks were selected major factors which could affects on ambient concentrations of PMs. This paper suggest that countermeasures for mitigating PM concentration should consider characteristics of area. Climatic variables(temperature, pressure, wind speed etc.) affects concentrations of PMs. The effects of spatial structure of cities(terrain, ventilation corridor) and biological sinks(green infrastructure, urban forests) on concentration of PMs should be analyzed in further studies. Also, seasonality of PMs concentration should be considered for establishing effective countermeasures to reduce ambient PMs concentration.

• 자원ㆍ환경경제연구
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• 제28권3호
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• pp.327-354
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• 2019

본 논문에서는 한국의 미세먼지 발생원인을 분석하는 과정에서 기존 논문에서는 고려하지 않았던 지역 간 공간상관성(Spatial correlation)을 고려한 패널계량분석을 진행하였다. 기존 환경쿠즈네츠곡선(EKC, Environmental Kuznets Curve)에 대한 연구들에서, 인접한 국가 및 지역 간에 오염물질의 상호영향이 존재할 가능성이 있음에도 각 유닛이 독립이라고 가정한다. 본 논문에서는 한국의 미세먼지농도에 대한 지역 패널데이터를 이용하여 기존 EKC가 지역의 상호상관성을 고려하는 때도 성립할 수 있으며, 이러한 영향을 고려하지 않았을 때 미세먼지농도의 원인에 대해 과소 혹은 과대 추정될 수 있음을 규명하였다.

• 한국환경과학회지
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• 제31권12호
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• pp.999-1012
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• 2022

To investigate the reason for the spatial difference in PM_2.5 (Particulate Matter, < 2.5 ㎛) concentration despite a similar synoptic pattern, a synoptic analysis was performed. The data used for this study were the daily average PM_2.5 concentration and meteorological data observed from 2016 to 2020 in Busan and Seoul metropolitan areas. Synoptic pressure patterns associated with high PM_2.5 concentration episodes (greater than 35 ㎍/m³) were analyzed using K-means cluster analysis, based on the 900 hPa geopotential height of NCEP (National Centers for Environmental Prediction) FNL (Final analysis) data. The analysis identified three sub-groups related to high concentrations occurring only in Busan and Seoul metropolitan areas. Although the synoptic patterns of high PM_2.5 concentration episodes that occur independently in Busan and Seoul metropolitan areas were similar, there was a difference in the intensity of pressure gradient and its direction, which tends to be an important factor determining the movement time of pollutants. The spatial difference in PM_2.5 concentration in the Korean Peninsula is due to the difference and direction of the atmospheric pressure gradient that develops from southwest to northeast direction.

• Spatial Information Research
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• 제21권5호
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• pp.15-22
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• 2013

본 연구는 동북아시아 지역의 이산화탄소 분포와 식생지수의 상관성 규명을 목적으로 한다. 이를 위해 지리가중치 분석기법을 활용하여 GOSAT 이산화탄소 측정자료와 MODIS 식생지수에 대해 다중공간회귀 분석을 시행하였다. 그 결과 이산화탄소와 식생지수 사이에는 전체적인 (-)의 상관관계가 나타나고 있음을 확인할 수 있었다. 공간적 자기상관성 측정을 위한 Global Morans'I지수와 Anselin Local Morans'I 통계 분석 결과에서는 이산화탄소는 일정한 군집성을 보이며 분포하고 있는 것으로 나타나났다. 이러한 결과는 산림파괴와 같은 개발 활동이 이산화탄소의 배출에 영향을 미쳐 일정한 군집을 형성하게 된 것으로 추정된다. 그러나 이산화탄소의 분포는 인위적 배출원과 식생의 호흡, 해양의 배출과 흡수 등의 다양한 요인과 결부되어 달라지기 때문에 이산화탄소 분포에 개입되는 다양한 변수와 상관성을 평가하는 후속연구가 필요할 것으로 사료된다.

• 한국환경과학회지
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• 제19권6호
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• pp.761-769
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• 2010

Temporal trends of ozone concentration in Jinju were investigated by using observation data from 3 air quality monitoring stations for the period of 2004~2008. In addition, spatial comparisons of ozone concentration at Jeoguri, upwind and downwind directions of Jinju were investigated between May and September 2009. Annual mean exhibited increasing trends +1.7ppb/yr throughout the study period. In the case of diurnal variation, the lowest ozone concentration was shown from 7 am to 8 am and the highest around 4 pm. The ozone concentrations of Jeoguri station of the south coast were higher than Jinju. In particular, the upwind direction of Jinju had relatively hight ozone concentration

• The Journal of Asian Finance, Economics and Business
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• 제4권2호
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• pp.37-44
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• 2017

This research is devoted to the development of methods general and standard methodological approaches and approbation those for the evaluation of economic potential and level of concentration of the regions of Kazakhstan. This paper presents the results of development of the authors on the selection and justification of the methodological approaches for quantitative evaluation of the economic potential (the degree of territorial differentiation of the profile) and concentration of regions. In this study, we used scientific methods: method of analysis the main trends of economic development, and method of evaluation of concentration of the region. Based on the analysis of foreign techniques developed and tested methodical approaches to the assessment of the economic potential (index and coefficient methods). Proposed methodological approaches to the assessment profile of the territory and developed a system of indicators, which includes an aggregated index of spatial concentration, which accurately reflects the concentration of production in the region. This study shows the results of the analysis of the potential regional disparities and trends of economic development of Kazakhstan. By using, the proposed methodology shows the possibility of their use; we calculated the indicators of integrated assessment of the economic potential and indicators of spatial concentration.

• 한국지리정보학회지
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• 제24권2호
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• pp.64-77
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• 2021

본 연구의 목적은 고학력 인적 자본 집단의 공간적 분포를 살펴보고 공간적 분포에 미치는 영향요인을 파악하는 것이다. 본 연구는 지니계수와 탐색적 공간자료분석을 통해 불균형과 공간적 집중정도를 살펴보았으며 공간회귀모형을 통해 고학력 인적 자본 집단의 분포에 미치는 경제적 요인과 어메너티 요인의 영향 정도를 확인하였다. 분석결과, 석·박사 집단 고학력 인적 자본은 불균등하게 분포하고 있으며 수도권을 중심으로 충남 및 강원 일부지역에서 군집을 형성하고 있는 것으로 나타났다. 석·박사 집단 고학력 인적 자본의 분포에 영향을 미치는 영향요인은 경제적 요인이 강하게 작용하고 있었다. 어메너티 요인은 석·박사 집단 고학력 인적 자본의 분포의 영향요인으로서 큰 역할을 하지 못하는 것으로 나타났다. 본 연구의 결과는 인적 자본을 유입하고자 하는 지역경제개발 정책에 있어 시사점이 있다.

• 한국지리정보학회지
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• 제17권1호
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• pp.61-69
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• 2014

본 연구에서는 서울에서 직경 $10{\mu}m$이하의 미세먼지에 대한 공간분석을 수행하였다. PM10은 폐암과 질병에 의한 사망율을 증가시키는 주요 원인이기 때문에 PM10의 공간적 분포는 서울의 대기오염에서 중요한 관심 사항이다. 본 연구에서 PM10의 공간적 분포 분석은 2010년과 2011년 서울시 미세먼지의 월 평균자료에 의해 모니터링 되었다. PM10의 공간보간은 PM10의 공간분포 특성을 잘 반영하는 IDW 방법을 적용하였고, PM10의 월 평균 공간분포는 서울시의 서부지역(영등포)이 초봄과 겨울철에 서울시의 북부지역 보다 높은 농도의 공간 분포를 나타내었다. 또한 2010년과 2011년 PM10 농도 분포의 비교에서 2011년 강남구와 송파구의 PM10 농도는 2010년 연평균 공간분포 보다 증가하였다. 서울시 PM10의 공간 분포가 영등포구, 강남구, 청량리 등 특정지역에서 높은 경향을 나타내고 있어서 이에 대한 관리방안의 수립이 요구된다.

• Journal of Korea Trade
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• 제25권5호
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• pp.93-109
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• 2021

Purpose - The logistics industry is often featured by its location relevance and industrial concentration. Industrial concentration is conducive to the effective transmission of information by reducing transaction costs and improving transaction efficiency, thus promoting the development of trade. The main purpose of this paper is to measure the spatial total factor productivity and location quotient of the logistics industry in Korea, and to study the impact of the logistics industry efficiency and agglomeration effect on import and export trade in Korea. Design/methodology - First, used the spatial stochastic frontier method to measure the spatial total factor productivity of the logistics industry in Korea, this serves as the efficiency index of the logistics industry in various regions of Korea. Second, calculated the location quotient (LQ) of the logistics industry to measure the industry's concentration degree. Third, employed a spatial econometric model to analyze the impacts of factors such as the efficiency and concentration levels of the logistics industry on import and export trade in Korea. Findings - This study's main findings can be summarized as follows: this study found that the overall efficiency of the logistics industry in Korea needs to be improved, even though it showed an upward trend in all regions of the country; Moreover, the agglomeration level of Korea's logistics industry needs to be improved; Finally, the positive spatial correlation and industrial agglomeration effect of Korea's logistics industry had a positive impact on the country's import and export trade. Originality/value - This study is innovative in terms of research perspective and methods. Most of the previous studies have measured the development level of the logistics industry using the logistics performance index (LPI), Fewer studies have assessed through the spatial total factor productivity and location quotient of the logistics industry in Korea to measure the efficiency index of the logistics industry in various regions of Korea and concentration degree, as well as there was almost no study on the impact of logistics industry efficiency and agglomeration effect on import and export trade in Korea. This study addresses this limitation by analyzing the impacts of the efficiency and agglomeration effect of the logistics industry on import and export trade in Korea.

• 대한원격탐사학회지
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• 제31권4호
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• pp.347-351
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• 2015

Sea ice is a key parameter for understanding the climate change in cryosphere. In this study, we investigated the correlation with the factors that influenced change of the sea ice extent. We used the Sea Ice Concentration (SIC) from Ocean and Sea Ice Satellite Application Facility (OSI-SAF), and surface albedo provided by The Satellite Application Facility on Climate Monitoring (CM SAF). We converted the same temporal and spatial resolution of the data and detected the sea ice using SIC data. We performed the relationship analysis between SIC and sea ice albedo. As a result, we found they have a strong positive correlation. We performed the linear regression between SIC and sea ice albedo, and found they have high-level coefficient of determination. It shows using either SIC or sea ice albedo is possible to estimate the sea ice products.