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
제11권 제2호 (2016년 6월) 7건
1.
2016.06
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This study was aimed to investigate the spatial distributions and temporal changes of disaster areas due to heavy snowfall at all cities and guns (country level) in Korea during 1979-2014. The number of days of damage caused by heavy snowfall has increased, and amounts of damage also increased. However, the number of casualties by the heavy snowfall damage has decreased in the deaths and missing. Although the damage by heavy snowfall was concentrated in Gangwon Yeongdong region during 1980s, the damage had extended to the eastern coast of Gyeongbuk region, Chungcheong region, and the western coast of Jeolla region in 1990s. In 2000s, the damage was largely concentrated in Gyeonggi region, Chungcheong region and the southern part of western coastal area while the damage in the surrounding regions of the Taebaek Mountains were dominant during the early 2010s. The spatial and temporal patterns of the damage caused by heavy snowfall have changed over the study period with the decadal variations.
2.
2016.06
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Anomaly high temperature caused by constant global warming has a direct impact on the thawing of the Arctic and Antarctic Ocean. This suggests new opportunities for alternative Northern Sea Routes that were not an option before, due to the economic feasibility. The current study reviews the existing research work on this issue over the world. Results indicate positive possibility of Northern Sea Routes (NSR) from the decrease of distance. But if the ice-breaking, the toll of NSR and the potential environmental risk are still high, the NSR has not economic profits compared with the existing routes (via Suez, via Panama). This study suggests the research direction for the economic investigation of the Northern Sea Routes.
3.
2016.06
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Relocation of weather station leads to changes in geographical climate factors such as latitude, longitude, elevation, topographical relief and land cover of surrounding area that inf luence on local climate. This study analyzes spatio-temporal characteristics and relationships between geographical factors such as location, topographical relief and land cover, and changes in climate data such as temperature, precipitation and wind due to relocation of 12 weather stations in South Korea. Changes in temperature and moisture are attributed to changes in land cover by the relocation. Wonju and Gumi where the stations were relocated from rural to new built-up area show increases in temperature, while temperature in Sokcho, Changwon, Cheonan, Daejeon, Gunsan and Mokpo decreased with the relocations from urban to rural area. Relative humidity in Mokpo, Gunsan and Daejeon increases due to increase in farming land. Changes in topographical relief influence on precipitation, wind and duration of sunshine. The relocation in Chungju to interior of basin led to decreases in precipitation and duration of sunshine, and Boryeong shows decrease in precipitation by the relocation from windward slope to hilly coastal area. Wind speed in Gunsan with the relocation from coastal to inland area decreased due to influence of neighboring hills. Shadow effect by neighboring building or vegetation can be attributed to changes in duration of sunshine in Gwangju and Wonju.
4.
2016.06
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In this study, spatio-temporal distribution was analyzed with the number of days for summer heat wave and winter cold wave defined as three or more consecutive +5% quantile days and -5% quantile days, respectively, by using daily maximum temperature in summer and daily minimum temperature in winter during 1973-2015. Although monthly heat wave occurrence has been only concentrated in July and August during the 1970s and 1980s, it had further extended into June and September since the 2000s. Monthly cold spell occurrence has been distinguished by increasing occurrence ratio in the month of December since the 2000s. The occurrences of heat waves were classified into either strong or weak cluster depending on intensity and magnitude over the entire region of South Korea rather than in specific areas. On the other hand, the occurrences of cold spell were classified by intensity of cold spell and spatial distribution of dominant cold spell areas over South Korea.
5.
2016.06
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In this study, global climate change scenario by Hadley Centre Global Environmental Model version 2-Atmosphere and Ocean (HadGEM2-AO) is dynamically downscaled using four regional climate models (RCMs). All RCMs with 12.5-km and 50-km resolution are integrated for continuous 27 years (1979-2005). In general, RCMs with higher horizontal resolution more reasonably capture the spatial distribution of precipitation over South Korea compared to those with lower resolution. In particular, heavy precipitation regions related to complex mountain ranges are well simulated due to detailed topography in RCMs with higher resolution. Difference between RCMs with dissimilar resolutions is relatively robust in summer compared to other seasons. This could be associated with that higher resolution and detailed topography lead to more realistic simulation of heavy summer precipitation related to mesoscale phenomena.
6.
2016.06
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A novel disaggregation model that combines a machine learning model and kriging of residuals is presented to map precipitation at a fine scale from coarse scale precipitation data. Random forest (RF) and fine scale auxiliary variables are used to estimate trend components at a fine scale. Residual components are then estimated by area-to-point residual kriging. A case study of spatial disaggregation of TRMM monthly precipitation data acquired over the Korean peninsula is carried out to illustrate the potential of the presented disaggregation method. From the evaluation results, the presented method outperformed the RF-based disaggregation method that only considers trend components and ignores residual components, in terms of accuracy statistics and the ability of coherent predictions. This case study indicates that accounting for residual components by applying a proper spatial prediction method such as area-to-point kriging is very important in spatial disaggregation of coarse scale spatial data, even though advanced regression models such as RF could have high goodness of fit for the quantification of relationships between a target attribute and auxiliary variables.
7.
2016.06
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Extreme temperature has direct and indirect effects on Human Health, and usually influences negatively. This study analyzes the correlation between extreme temperature and excess mortality caused by cardiovascular disease in Seoul. Excess mortality correlates with daily maximum temperature, especially daily excess fatality over two standard deviations, has a strong positive correlation. On the other hand, daily minimum temperature is not significantly related with excess death. Recently, significance of the correlation coefficient of high temperature in August decreases because of the heat wave preparation.
