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
제13권 제3호 (2018년 9월) 6건
1.
2018.09
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This study was carried out to reveal the characteristics of climate-influenced landscape in the tundra with the case study of Cambridge Bay in Canada. This study was conducted for a part of regional study to understand the lifestyle of Arctic and Inuit people. Traditional knowledge and practices of indigenous peoples are emerged as adaptation issues to the changes of tundra environment. During august 2018, we interviewed local residents and experts at a field survey in Cambridge Bay, Nunavut, Canada. The contents of the study are descriptions on the climate-influenced landscape, utilizing interview, which mainly focused on buildings, infrastructure, and transportation. In building construction, they are applying the building method considering permafrost. The infrastructures are also adapting to extreme weather conditions, such as supplying water and sewage disposal by trucks instead of water and sewage systems using pipes. The way of transport has been changed from dog-sleds to modern snowmobiles and ATVs. The use of ATV is on the rise as the period of time without snow is getting longer.
2.
2018.09
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The development of GIS technology has enabled the analysis of heavy rainfall vulnerability based on spatial analysis. In general, spatial analysis is performed based on property data and spatial data. Spatial data and attribute data differ in the generation units due to various reasons. The difference in these units can also cause problems in the results of the analysis. In particular, the Modifiable Areal Unit Problem (MAUP) that occurs according to the spatial unit setting is the most representative. The Modifiable Temporal Unit Problem (MTUP), which occurs according to the recent time unit setting, is also being raised. In this study, we analyzed the vulnerability of heavy rainfall in consideration of MAUP and MTUP. To analyze the effect of the MAUP, different administrative units were constructed and analyzed. In Seoul, Busan, and Ulsan, there was a scale effect in which disaster vulnerability was analyzed differently according to the analysis unit. In order to analyze the impact of MTUP, the range of study period was configured differently. The impact of the temporal boundary, in which overall disaster characteristics change and disaster vulnerability changes, has been identified. Analysis of regional disaster vulnerability considering MAUP and MTUP will be effective not only for the study of heavy rainfall disaster but also for setting the standard of disaster prevention policy.
3.
2018.09
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This study tries to reveal abnormal trends in climate change from 60 stations in Korea during 1981-2010 by comparisons to the standard station, Chupungnyeong station. Trends in climate change from station with the abnormalities, and their implication and causes are also discussed. Although Wando, Wonju, Mungyeong and Mokpo stations show the most abnormalities, normal trends in climate change from some climate data are also found from Mokpo station. On the other hand, some climate data from Suwon, Jeonju, Jinju, Icheon and Geumsan stations indicate the most normalities. It should be noted that variabilities of climate data are largely different, indicating that clear trends in climate change may not be extracted. The fact that some stations with the abnormalities from some climate data also show the normalities should be also noted. This study suggests that most stations with the most abnormalities may be relevant to relocation of station.
4.
2018.09
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This study explores nighttime heat stress in two Midwestern regions in the United States, encompassing the cities of Minneapolis and Milwaukee. Daily minimum temperature data were obtained from the MACAv2-METDATA dataset at a 4-km resolution. The dataset was downloaded both for the historical (1950-2005) and Representative Concentration Pathways (RCP) 4.5 (2006-2099) simulations from 11 global climate models. MODIS land cover data at a 5´×5´ resolution were used to delineate urban and non-urban areas. Heat stress was indicated by the occurrence of hot nights in two criterions. First, the number of days with daily minimum temperatures above 300K (27°C) was counted to calculate decadal frequency. Second, the 95th percentile of daily minimum temperatures in the historical period was used as a threshold to calculate the duration of hot nights. The study finds that (1) hot nights (> 300K) are practically non-existent in the historical simulation but are likely to occur typically 2-3 times per decade with the RCP4.5 simulations; (2) the frequency of such events in the future can exceed 25 per decade in urban areas whereas it can be just about 1 per decade in non-urban areas depending on models; and (3) hot nights (> 95th percentile threshold) are likely to last longer in the future simulations. Overall, heat stress is projected to increase both in frequency and duration, and the urban heat island effect in terms of heat stress is projected to intensify in the future.
5.
2018.09
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The purpose of this research is to provide an objective and accurate regional vulnerability index at a finer resolution with the research period from 1983 to 2012 in Korea. To find the spatial patterns and characteristics of regional vulnerability, this research conducted four different types of analyses. First, the most vulnerable regions in terms of demographic, climatological-geographic, socioeconomic, and technological factors were respectively investigated. Second, total vulnerability index combining all the four factors was examined. Next, the most influential factors deciding vulnerability and common spatial patterns of vulnerability were extracted using empirical orthogonal function (EOF) analysis. Lastly, the degree of clustering for each factor was checked using Moran’s I and local indicators of spatial association (LISA). The result found the most vulnerable provinces were Jeolla and Gyeongsang Province, regarding to demographic and climatological- geographic factors, respectively. In the case of socioeconomic factors, the difference between urban and rural areas was larger than the difference between provinces. In addition, the EOF analysis showed that demographic factors would be the most influential factors which explained 32.2 percent of the total variance of data. Lastly, climatological and geographic factors represented the highest degree of clustering (global Moran’s I: 0.51).
6.
2018.09
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The current study deals with the effect of urban growth and urbanization on temperature trends over Lahore city of Pakistan. This research was conducted using mean monthly temperature data for the period of 1950-2017. The urban population growth, urban expansion, the increase of vehicles and factories as well as the expansion of built up area have influenced on the change of temperature in Lahore city. The annual trends of temperatures have been analyzed, and their statistical significances are calculated by the linear regression method. It has been deduced that there is a close relation between temperature change and urban growth. The findings are as follows; the mean minimum temperature rises greater than the maximum temperature at urban station and rural station. However, the maximum temperature is not rising positively and thus significantly at both stations. The findings show the fact that mean minimum temperature increasing more quickly after the 1995 due to the increase of urban development in Lahore city in which the built up area has increased from 66 km² to 740 km² since 1950. A massive increase in the numbers of vehicles have also influenced on the change of temperature in the city. However, the mean maximum temperature at rural station of Lahore has significant effect during 1973-1997.
