• Journal of the Korean Geographical Society
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• v.38 no.4
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• pp.463-477
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• 2003

This study identified the effects of global temperature rise on snowfall change over Korea selecting Seoul, Gangneung, Gunsan, and Daegu as study areas. The trend of snowfall change has generally decreased since 1950s over Korea, but has only increased in Gunsan since 1990s. The variation of snowfall days are similar to those of snowfall. The relationship between snowfall over Korea and the anomaly of global mean temperature in spring has a negative correlation. The change of Siberian High intensity also has a good relationship with snowfall in both Gunsan and Gangneung; the former is positively correlated while the latter is negatively correlated. This result might suggest that if the intensity of Siberian High would weakens due the ongoing global warming in the future, there would be a possibility that the amount snowfall could decrease in Gunsan but it could increase in Gangneung.

• 한국지구과학회:학술대회논문집
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• 2010.04a
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• pp.80-80
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• 2010

본 연구에서는 식물의 개화시기가 기온에 민감하게 반응한다는 것에 근거하여 54개의 기상관측지점을 선택하고 1988년부터 2008년까지 21년간 벚꽃 개화일의 시계열적 변화를 분석하였고 이들과 3월 평균기온과의 상관관계를 조사하였다. 그리고 엘니뇨와 라니냐 시기에 기온과 벚꽃개화일의 변화 경향과 도시화에 의한 기온변화가 벚꽃 개화일에 미치는 영향을 대도시와 교외도시와의 비교를 통해 알아보았다. 또한 경험직교함수(EOF) 분석을 통하여 벚꽃개화일의 시 공간 분포를 알아보았다. 그 결과는 다음과 같다. 첫 번째, 3월 평균기온 분석을 통해 1988-2008년 사이에 한반도의 기온은 평균적으로 $0.13^{\circ}C$ 증가하였음을 확인할 수 있다. 그리고 평균적으로 남해안이 동해안과 서해안보다 평균기온이 높게 나타났으며, 서해안이 가장 낮은 평균기온을 보였다. 그리고 내륙지역의 경우 위도에 따라 평균기온이 달랐으며, 위도가 낮아질수록 평균기온이 크게 나타났다. 하지만 모든 지점에서 유의하지는 않았다. 두 번째, 벚꽃개화일의 변화를 보면, 개화일은 시간이 지날수록 빨라지는 경향을 보였다. 그리고 벚꽃개화일의 분포를 보면 위도가 낮은 지역이 개화일이 빨랐으며, 해안지역 중에서는 남해안, 동해안, 서해안 순이었다. 세 번째, 2월, 3월, 4월의 평균기온과 벚꽃 개화일의 상관관계 분석결과 3월 평균기온이 벚꽃개화일과 상관관계가 가장 높았다. 네 번째, 엘니뇨가 발생한 해에는 한반도의 기온이 상승하는 경향을 보였으며, 동시에 벚꽃개화일도 빨라졌다. 다섯 번째, 대도시가 교외도시에 비해서 기온상승이 높았으며, 벚꽃개화일도 빠르게 나타났다. 마지막으로, 경험직교함수(EOF) 분석 결과 3월 평균기온과 벚꽃 개화일의 1mode 시계열 패턴이 비슷하다는 것을 확인하였다. 또한, 1996년을 기준으로 이전에는 개화일이 느려지고, 이후에는 빨라지는 패턴을 보였다.

• Horticultural Science & Technology
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• v.28 no.6
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• pp.937-941
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• 2010

This study investigated the effect of global warming on full bloom date (FBD) of 'Niitaka' pear ($Pyrus$ $pyrifolia$ Nakai) tree by calculating the development stage index by hourly temperatures recorded at Pear Research Station, estimating the distribution of average FBD and the change of FBD according to temperature rising by integrating development rate at 67 locations in Korea Meteorological Administration site. Development stage index of 'Niitaka' pear tree was 0.9593 at Naju location. Differences between full bloom dates observed at Cheonan region and predictions by development stage index were 0-7 days, and matched year was 35.3%. FBDs of 67 locations were distributed from April 4 to May 28. When yearly temperature was raised 1, 2, 3, 4, and $5^{\circ}C$ at 67 locations, predicted FBD was accelerated at most of the locations. However, FBD decelerated at south coast locations from $3^{\circ}C$ rise and did not bloom at 'Gosan', 'Seogwipo', and 'Jeju' locations from $4^{\circ}C$ rise. When monthly temperature was raised 1, 3, and $5^{\circ}C$ at 67 locations, predicted FBD was the most accelerated at March temperature rise, and followed by April, February, January and December. Therefore, global warming will cause acceleration of the full bloom date at pear production areas in Korea.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.1862-1866
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• 2010

기후변화에 관한 정부간 협의체(International Panel on Climate Change, IPCC) 4차 보고서에는 21세기말 지구의 평균기온이 최대 $6.4^{\circ}C$ 까지 더 상승할 것으로 전망하였다(IPCC, 2007). 지구의 평균온도는 지난 100년 동안 $0.74^{\circ}C$ 상승하였으며 그중 0.45%는 최근 25년간 상승한 것이며 이것은 지난 100년 보다 2.4배나 빠르게 상승하고 있는 추세이다. 우리나라의 경우 기온이 전 지구평균기온에 비해 2배 이상 높은 $1.5^{\circ}C$정도 상승 하였다. 또한 온실가스 증가 속도는 다른 나라에 비해 빠르게 진행되고 있으며, 1990년에서 지난 2001년간 다른 OECD국가들과 비교했을 때 가장 빠르게 증가하고 있을 뿐 아니라($CO_2$배출량은 OECD국가 중 10위) 현재와 같은 에너지 다소비형 산업구조와 소비패턴으로는 온실가스 배출량이 감소할 가능성은 낮은 것으로 분석된다. 따라서 우리나라의 경우 다른 국가에 비하여 기후변화에 취약한 위치에 있고 민감하게 반응함에 따라 미래 기후변화에 대한 영향은 우리나라 농업수자원에 큰 영향을 미칠 것으로 판단된다. 본 연구에서는 기상청에서 제공하는 MM5 기상자료를 이용하여 농업용저수지 필요저수량 변화를 예측하였다. MM5 기상자료는 충남 서산관측소 과거 관측자료를 이용하여 편의보정을 거쳐 재추출하였다. 생성된 자료는 물수지분석 입력 자료로 구축하여 충남에 위치한 고풍저수지에 대하여 필요저수량변화를 예측하였다. 그 결과 기온상승으로 인한 실재증발산량은 676mm에서 717mm로 41mm가 증가하였으며, 소비수량 또한 1,617mm에서 1,659mm로 42mm 증가하였다. 유효우량은 2020s는 520mm 이였으나 2080s는 533mm으로 13mm 증가한 것으로 분석되었다. 본 자료를 이용하여 고풍저수지의 필요저수량을 분석한 결과 2020s, 2050s, 2080s 각각 31.2%(3,538.9천$m^3$), 16.0%(1,489.7천$m^3$), 26.6%(2,834.5천$m^3$)가 부족한 것으로 예측되었다. 이는 강우량은 증가하나 기준년도에 비하여 5월 8월이 낮게 예측된 것이 가장 큰 원인으로 분석되었다. 따라서 소비수량은 증가하지만 유효유량의 부족으로 필요저수량이 부족한 것으로 예측되었다.

• Korean Journal of Environment and Ecology
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• v.27 no.6
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• pp.757-764
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• 2013

This study was conducted to determine factors causing urban temperature rises in a mixed urban and rural city in Korea. The study site was Miryang City. For this study, temperature changes over a 36 year period from 1974 to 2010, as well as changes made in the urban environment of the city were examined. Changes in the urban environment included data pertaining to both urban development and changing land use, as well as the changing lifestyle patterns of the populace. The study showed that a rise in the average annual temperature and the average annual mean-maximum temperature were statistically significant and the greatest determining factor for the temperature rise was a corresponding decrease in arable land. The study also showed that the decrease in cultivated land was directly and significantly related to an expansion of regional urbanization. There is a direct relationship between the decrease in cultivated land and an increase in the annual-mean-maximum temperature compared with annual-mean temperature. This increase can be explained as arable land works as an "island" of cooler temperatures in the hottest times of the day. A decrease of $1km^2$ of arable land is expected to cause an increase of $0.08^{\circ}C$ of annual-maximum-mean temperature and $0.06^{\circ}C$ of annual-mean temperature.

• Journal of the Korean Geographical Society
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• v.43 no.1
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• pp.20-35
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• 2008

This study used crop data from statistics yearbooks in Naju and climate data from Gwangju weather station to investigate whether climate changes have had significant impact on crops. The sample crops are rice, barley, pear, radish, Korean cabbage and red pepper. The results showed that the changes in temperature have shifted crop phonology and affected crop growth. The rice and barley heading date were advancing and had negative correlation with average temperature over 30days before average heading date. The number of rice grains per unit area $(m^2)$ were decreasing while the number of barley grains per unit area $(m^2)$ were increasing because average temperature during grain filling period of rice (barley) was increasing (decreasing). Therefore, decreasing (increasing) yields of rice (barley) can be predicted by global warming. The sprouting, flowering and full flowering date of pear were advancing. The sprouting date of pear had negative correlation with average temperature from February to March and the flowering and full flowering date of pear had negative correlation with average temperature from February to April. The brix and weight of pear were increased and were most sensitive to August and September average temperature. An earlier blossom of pear trees holds the danger of damage by late frosts. The plant length of radish and chinese cabbage were decreasing and negatively influenced by maximum temperature on September. The fruit set numbers of red pepper were increasing recently and had positive correlation with minimum temperature on August. The growth of radish and Korean cabbage will be poor, but the growth of red pepper will be good by rising temperature.

• Journal of Environmental Policy
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• v.12 no.2
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• pp.17-32
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• 2013

The potential impact of water temperature on air temperature in response to recent anthropogenic global warming has been noticed. To predict climate, induced change in river aquatic environment, it is necessary to understand the thermal constrains of fish species and the timing of the projected river temperature. As a preliminary study, air-water temperature relationship was analyzed on the basis of the observed data during the time period of 2009-2011 and the number of data corresponds to 873-1083. As a result of analyzing the auto-and cross-correlation coefficient between air-water temperature, high correlation is shown (~0.9). It is also found that the correlation coefficient of air temperature is higher than that of water temperature at the lag time less than approximately 10 days. Observed data was divided into two groups to investigate hysteresis: rising limb and falling limb. For some stations there is strong evidence that hysteresis exist between air-water temperature relationships. Consequently it is recommended that seasonal hysteresis needs to be included in determining an airwater relationship.

• Korean Journal of Soil Science and Fertilizer
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• v.28 no.3
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• pp.266-269
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• 1995

Methane emission was measured every two hours for a whole day at heading stage of rice plantsby using a closed static chamber installed in NPK(11-70-80 kg/ha) plot and NPK+rice straw(5 ton/ha) plots. The effect of air and soil temperature on methane emission was studied. In NPK plot the diel change of methane emission was synchronized better with soil temperature than air temperature because of abrupt rise of air temperature from 11 : 00 to 17 : 00 hours. In NPK+rice straw plot diel methane emission showed proportionally increased with increase of soil temperature except for times from 11 : 00~17 : 00 hours when air temperature was very high, but showed a closer relation with change of air temperature. It was suggested that the diel change of methane emission was closely related to that of air temperature where organic matter was abundant, while to that of soil temperature where organic matter was limited.

• Journal of the Korean earth science society
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• v.27 no.2
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• pp.188-197
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• 2006

The characteristics of variability of temperature and precipitation in Jeju were investigated using data observed in Jeju station for from 1924 to 2004. Annual mean temperature change for the last 81 years is $0.02^{\circ}C$ increase per year. After 1980, the increase is $0.05^{\circ}C$ per year, larger than the former. The increase of the minimum temperature is larger than that of the maximum temperature in Jeju and has resulted in the increase of mean temperature. The frequency of climate extreme occurrence of temperature and rainfall was also investigated. The temporal variation of frequency of the extremely higher temperature has increased in the 1980's with global warming. The appearance of the extremely lower minimum temperature has decreased during the summers and winters. The facts that the frequencies of rainy days has decreased and heavy rainfall days of more than 80 mm per day in precipitation has increased indicate the increase of rainfall intensity.

• Journal of Advanced Technology Convergence
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• v.3 no.2
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• pp.17-23
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• 2024

In this paper, we analyzed the impact of temperature and precipitation on agricultural product prices and predicted the prices of major agricultural products using TensorFlow. As a result of the analysis, the rise in temperature and precipitation had a significant effect on the rise in prices of cabbage, radish, green onion, lettuce, and onion. In particular, prices rose sharply when temperature and precipitation increased simultaneously. The prediction model was useful in predicting agricultural product price changes due to climate change. Through this, agricultural producers and consumers can prepare for climate change and prepare response strategies to price fluctuations. The paper can contribute to understanding the impact of climate change on agricultural product prices and exploring ways to increase the stability and sustainability of agricultural product markets. In addition, it provides important data to increase agricultural sustainability and ensure economic stability in the era of climate change. The research results will also provide useful insights to policy makers and can contribute to establishing effective agricultural policies in response to climate change.