간행물
기후연구 KCI 등재 Journal of Climate Research
- 발행기관 건국대학교 기후연구소
- 자료유형 학술지
- 간기 계간
- ISSN 1975-6151 (Print)2288-8772 (Online)
- 수록기간 2006 ~ 2021
- 주제분류 사회과학 > 지리학 사회과학 분류의 다른 간행물
- 십진분류KDC 453DDC 551
권호리스트/논문검색
제10권 제2호 (2015년 6월) 11건
1.
2015.06
서비스 종료(열람 제한)
The economic geography has not secured climate change and its effects as certain study realms. In order to overcome this limitation, discourse which builds the logic of knowledge about climate change and its effects is required above all things. This study, therefore, was to suggest new study realms and subjects of economic geography on climate change and its impacts. New study realms of economic geography on climate change and its impacts are: the natural resource inputs entering into the economic process; the environmental loads in economic process ; environmental costs to overcome the effects of climate change; the development of environmental technologies; and policy development on the impact of climate change. Study subjects are: negative and secondary effects of climate change and its impact on economic process; commercialization of climate change and its impacts itself; and alternative policy development based on sustainable development etc.
2.
2015.06
서비스 종료(열람 제한)
It is the first evaluation model that explains the capabilities of natural disasters and crisis matters by subdividing the evaluation model for organizational management of existing public institutions. This paper improves the capabilities associated with climate change in the future weather systems, including the typhoon and cold weather changes, operational systems, and reflux systems, by carrying out the evaluation of the results. This evaluating model which is response capacity to future climate change, supports the method of Analytic Hierarchy Process and Delphi to calculate the weight of the evaluation model. Using the crisis management of the evaluation model or domestic public institutions, it can be utilized to derive the improvement of capabilities and Risks of typhoon and cold weather.
3.
2015.06
서비스 종료(열람 제한)
In this study, we tried to assess the future projection of the climate as a tourism resource in Gangwon region based on Tourism Climatic Index (TCI) and two RCP scenarios(RCP4.5 and RCP8.5) datasets. TCI combines ve climatic aspects relevant for outdoor tourism activity: daytime comfort(CID), average (or daily) comfort(CIA), sunshine(S), precipitation(P) and wind(W). The mean annual variation of TCI at most of stations shows bi-modal peak pattern, but the variation at Daegwallyeong shows unique summer peak pattern. During the 21st century, TCI in summer has distinct declining trend, and this tends to be more rapid in higher emission scenario(RCP8.5) than in lower emission scenario(RCP4.5). We found Daegwallyeong is expected to experience the most distinguished change in the late 21st century as annual variation pattern of TCI is likely to shift from summer peak to bi-modal peaks. Spatial distribution of the future TCI shows that maximum changes are likey to occur along high mountains(Backdudaegan), and summertime( June to September) climate conditions for tourism activities are expected to be increasingly deteriorated, while wintertime conditions are expected to be preferable more or less. It notes that magnitude of the change in RCP8.5 scenario estimates 2-3 times larger than in RCP4.5 scenario. To identify causes of the long-term TCI trends, we analyzed the contribution level of each sub-index to the trends. Consequently, it reveals that the most primary contributor is CID. However, CIA, P, and S also can highly contribute in some cases.
4.
2015.06
서비스 종료(열람 제한)
This study aims to show that the change of damages and damage areas caused by typhoon has an impact on South Korea using the typhoon track data and the data of damages caused by typhoon. This study analyzed the frequency of typhoon, damages and the distribution of damage by cities. The damages caused by typhoon sharply increased and typhoon scale is intensified after 1990s. The frequency of typhoon which has an impact on South Korea is concentrated in August and September. The frequency of typhoon is stable in August but increases in September. The typhoon which passed by the South sea and the Yellow sea damaged South Korea, and the frequency of typhoon which hits the south coastal increased. During the latter half of the period than the first half of the period in August and September, the damage area expands and damage scale grows ‘W’. The damage area of typhoon which hits the South coastal expands during the latter half of the period than the first half of the period. The damage area of typhoon which passed by the Yellow sea moved to the West coastal. The damage area of typhoon which passed by the East sea decreased.
5.
2015.06
서비스 종료(열람 제한)
The purpose of this study is to characterize long-term (1973~2012) changes in intra-seasonal temperature and extreme low temperature events in winter observed at 61 weather stations in the Republic of Korea and their associations with changes in atmospheric circulation patterns around East Asia. Maps of long-term linear trends clearly show that both temperature means and extreme events in Korea have asymmetrically changed between early winter and late winter. In early winter, changes with statistical significance are less observable, while in late winter reductions in low extreme temperature events as well as increases in temperatures, particularly after mid-1980s, are obviously observed across the study region. Comparisons of tropospheric synoptic climatic fields before and after the mid-1980s demonstrate that in early winter of recent decades, active meridional circulation from the Arctic appeared in western Eurasia and Bering sea, while in late winter, zonal circulation around East Asia associated with positive Arctic Oscillation-like patterns prevailed. These results indicate that asymmetric changes between early and late winter temperatures in Korea are associated with intra-seasonally inconsistent atmospheric circulation patterns around East Asia.
6.
2015.06
서비스 종료(열람 제한)
This study analyzed a variation in warmth index and coldness index in South Korea for the past 40 years (1974~2013) and its spatial distribution (2004~2013). To this end, monthly average temperature data in 62 meteorological observation points and 583 meteorological observation points for prevention against disasters in South Korea were used. According to the observed area, the warmth index in general ranged from 56.84(°C·month) to 144.49(°C·month) or so. And an analysis showed that the coldness index ranged from -43.94(°C·month) to 0(°C·month). And overall average warmth index was 104.22(°C·month) and overall average coldness index was -14.42(°C·month). In almost all observation points, these indices tended to increase, and their increase rate was high in an inland urban area in particular. With regard to the spatial distribution, an analysis showed that it was the lowest in the some mountainous areas of Taebaek mountains lying across Gangwon province and around the peak of Mount Halla. And it was high in southwest coastal area including Mokpo, Jeju Island, some areas in the east coast and south coast, and Yeongnam inland regions including Daegu, and so on. It is thought that the above can be utilized as baseline data for explaining the fact such as the productivity of agricultural products, plant phenology, and a change in plant habitat due to climate change.
7.
2015.06
서비스 종료(열람 제한)
This paper evaluates the applicability of a simple kriging with local means(SKLM) for highresolution spatial mapping of monthly mean temperature and rainfall in South Korea by using AWS observations in 2013 and elevation data. For an evaluation purpose, an inverse distance weighting(IDW) which has been widely applied in GIS and cokriging are also applied. From explanatory data analysis prior to spatial interpolation, negative correlations between elevation and temperature and positive correlation between elevation and rainfall were observed. Bias and root mean square errors are computed to compare prediction performance quantitatively. From the quantitative evaluation, SKLM showed the best prediction performance in all months. IDW generated abrupt changes in spatial patterns, whereas cokriging and SKLM ref lected not only the topographic effects but also the smoothing effects. In particular, local characteristics were better mapped by SKLM than by cokriging. Despite the potential of SKLM, more extensive comparative studies for data sets observed during the much longer time-period are required, since annual, seasonal, and local variations of temperature and rainfall are very severe in South Korea.
8.
2015.06
서비스 종료(열람 제한)
The extreme weather conditions negatively affect the traffic flow performance, and the change of traffic systems has significant impacts on the air pollutant emission. This study identifies the correlation between rainfall, traffic volume, travel speed and air pollution concentration (NO2 and PM10) in Seoul. We employed a path analysis using rainfall data from Korea Meteorological Administration and Seoul’s air quality and traffic monitoring data in July and August on 2014. It is found that the occurrence of rainfall decreases NO2 and PM10 concentration due to the higher washing effect, while rainfall increases NO2 and PM10 concentration via the changes in traffic volume and traffic speed. The analysis of the rainfall intensity reveals that the rainfall increases NO2 concentration due to the traffic volume increase and the traffic speed reduction if an hourly rainfall is more than 5mm. It is to note that the current model succeeds in identifying the relationship between weather conditions, traffic flow performance and air pollution in a unified and consistent framework, which can be used for better predicting the changes in air pollution concentration.
9.
2015.06
서비스 종료(열람 제한)
Climate change, in particular temperature change, has an impact on the demand for heating and cooling. This paper explores the effect of gradually warming climate on the demand for heating and cooling in Seoul during 1995-2014 using an autoregressive distributed-lag model, a family of timeseries econometric multivariate regression model. The estimated results reveal that there are two peaks in Seoul's electricity consumption because cooling degree days (CDD) and heating degree days (HDD) are statistically highly significant. CDD’s regression coefficient for a short and long-run model is approximately twice bigger than HDD’s and the summer peak is more important in terms of electricity consumption in Seoul. Furthermore, there exists a long-run relationship between electricity consumption and the explanatory variables such as economic growth, CDD, HDD, seasonal dummies, and black out dummy.
10.
2015.06
서비스 종료(열람 제한)
In this study, we examine the relationship between climate change and food productivity using empirical econometric methods. The existing literature shows that natural hazard caused by climate change has a negative impact on food productivity since the natural disaster devastates farmers and food supply. The conventional study however considered only the correlation between food productivity change and climate condition such as optimum air temperature rather than the association between food productivity and climate change. Agricultural area, crop per unit area and crop productivity are known as the most important factors in food productivity. Thus, we explore the relationship between the three factors and climate change. We analyze the carbon dioxide concentration level in the atmosphere as a proxy for the climate change since the level of carbon dioxide in the atmosphere affects global temperature. We found that agricultural area, crop per unit area and crop productivity are negatively associated with climate change.
단보
11.
2015.06
서비스 종료(열람 제한)
In this study, the relationships between the wheat imports of South Korea and the climate of wheat production areas (the United States is selected as an example) during 1995-2014 are analyzed. While the wheat imports in South Korea have increased in the second half of the analysis period compared to the first half, wheat imports from the United States have decreased somewhat in the second half than the first half. The unit cost of wheat import from the United States is unstable in the second half due to the increasing tendency of unit cost of wheat imports since 2007 and the enhanced variability. Wheat yields of Kansas (winter wheat) and North Dakota (spring wheat) in the major wheat growing regions in the United States are affected by precipitation during growing period and high-temperature condition before harvest, respectively. The unit cost of wheat imports from the United States to South Korea was caused by the impact of fluctuations in precipitation of Kansas, rather than temperature condition of North Dakota.
