• Journal of Environmental Science International
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• v.25 no.2
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• pp.259-265
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• 2016

We analyzed diurnal variations in the surface air temperature using the high density urban climate observation network of Daegu in summer, 2013. We compared the time elements, which are characterized by the diurnal variation of surface air temperature. The warming and cooling rates in rural areas are faster than in urban areas. It is mainly due to the difference of surface heat capacity. In addition, local wind circulation also affects the discrepancy of thermal spatiotemporal distribution in Daegu. Namely, the valley and mountain breezes affect diurnal variation of horizontal distribution of air temperature. During daytimes, the air(valley breeze) flows up from urban located at lowlands to higher altitudes of rural areas. The temperature of valley breeze rises gradually as it flows from lowland to upland. Hence the difference of air temperature decreases between urban and rural areas. At nighttime, the mountains cool more rapidly than do low-lying areas, so the air(mountain breeze) becomes denser and sinks toward the valleys(lowlands). As the result, the air temperature becomes lower in rural areas than in urban areas.

• Proceedings of the KSRS Conference
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• 2007.03a
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• pp.228-233
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• 2007

지표면 온도(Land Surface Temperature, LST)는 지표와 대기간의 수증기 교환을 조절하는 중요한 기상변수중의 하나이다. 그 외에도 지표면 온도는 토양의 상태나 식생의 성장에도 밀접한 관계가 있어 임업과 농업에도 널리 활용되고 있다. 본 연구의 목적은 위성 지표면 자료를 이용하여 지상관측점의 열적 공간 대표성을 알아내는 것이다. 전국에총 76개의 관측소가 있으며 그중에서 선정된 6곳 의 관측소(서울，부산，대전，대구，광주，춘천)를 MODIS LST product와 비교를 하였다. 비교 방법은 위성 자료의 pixel size를 $3{\time}\;3$, $5{\time}\;5$, $7{\time}\;7$, $9{\time}\;9$, $11{\time}\;11$, $15{\time}\;15$, $19{\time}\;19$, $25{\time}\;25$로 변환하여 각 pixel size별 평균값을 계산하여 MODIS product와 비교하여 선형분석을 하였다. 분석의 요소로 Fraction Vegetation Cover(FVC)와 Digital Elevation Model(DEM)을 사용하였으며 분석 결과 FVC의 상관관계과 DEM보다 높은 상관성을 보여주었다. 선형분석으로 도출한 식으로 지표면 온도를 재산출한 뒤 지상관측값과의 RMSE를 산출하였다. 대표성 규명을 위한 RMSE는 일 최고 기온 산출 모델에 관한 연구를 참고하여 $^{\circ}C$로 결정하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.987-991
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• 2008

본 연구에서는 과거 제안된 5가지의 기준증발산식으로부터 산정된 증발산량과 pan 증발량을 이용하여 상관분석을 실시하였고 pan 계수를 산정하였다. 또한 우리나라 21개 기상관측지점에서 과거 제안된 5가지의 기준증발산식들을 비교하고 그 유사성을 알아보았다. 비교 검토된 기준증발산식은 4가지 방법으로 분류하였으며, 분류된 방법 중에서 각기 대표적인 기준증발산량 산정식을 선정하여 적용하였다. 적용된 기준증발산식은 에너지와 공기동력항의 조합법에 근거한 Penman 식, 단일근원법에 근거한 FAO Penman-Monteith(FAO P-M) 식, 복사자료를 이용한 방법인 Makkink 식과 Priestley-Taylor 식, 그리고 기온자료에 근거한 방법인 Hargreaves 식 등이다. 연구지역 선정을 위하여 기상관측지점이 있는 지역의 지리 및 지형조건을 고려하였다. 사용된 기상자료는 1970년부터 5년 간격으로 8개년의 일별 기상자료를 사용하였다. 적용결과는 수치 및 시계열 도시방법을 통하여 비교하였다. 분석결과에 의하면 대부분의 지역에서 기준증발산식과 pan 증발량과는 0.9 이상의 높은 상관관계를 보이고 있으나, pan 증발량과 비교하여 회귀식의 경사가 1.0보다 크거나 작은 경향을 보이고 있다. 전국 21개 연구지역 중에서 12개 지역에서 대기온도자료에 기초한 Hargreaves 식이 FAO P-M 식과 가장 유사한 것으로 나타났는데, 이들 지역은 대구지역을 제외하고 해안지역에 위치하고 있다. 반면에 내륙에 위치한 8개 지역에서 복사량자료에 기초한 Priestley-Taylor 식이 FAO P-M 식과 유사한 것으로 나타났다.

• Journal of Environmental Science International
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• v.26 no.9
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• pp.1023-1029
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• 2017

We studied the distribution of air temperature using the high density urban climate observation network data of Daegu. The observation system was established in February 2013. We used a total of 38 air temperature observation points (23 thermometers and 18 AWSs). From the distribution of monthly averaged air temperatures, air temperatures at the center of Daegu were higher than in the suburbs. The daily minimum air temperature was more than or equal to $25^{\circ}C$ and the daily maximum air temperature was more than or equal to $35^{\circ}C$ at the elementary school near the center of Daegu. Also, we compared the time elements, which are characterized by the diurnal variation of surface air temperature. The warming and cooling rates in rural areas were faster than in urban areas. This is mainly due to the difference in surface heat capacity. These results indicate the influence of urbanization on the formation of the daily minimum temperature in Daegu.

• Journal of the Korean Solar Energy Society
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• v.28 no.2
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• pp.19-27
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• 2008

This study aims at examining the correlation between air temperature and urban structure such as land cover. For this, it measured summer air temperature by using data log type thermometer installed the inside of instrument screen, in the 9 points of elementary school in Haeundae, Busan. The accomplished results of this study are followings. 1) As altitude goes up 100m, air temperature drops to $0.6{\sim}1.0^{\circ}C$. 2) As building coverage ratio increases 10%, air temperature increases $0.3{\sim}0.4^{\circ}C$. 3) As floor space index increases 100%, air temperature increases $0.4{\sim}0.5^{\circ}C$. 4) As artificial coverage ratio increases 10%, air temperature increases $0.1{\sim}0.2^{\circ}C$. 5) As natural coverage ratio increases 10%, air temperature decreases $0.1{\sim}0.2^{\circ}C$.

• Journal of the Korean Solar Energy Society
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• v.38 no.5
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• pp.1-9
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• 2018

The purpose of this study is to analyze the urban heat island ultimately by analyzing long-wave radiation which is the dominant factor of night minimum temperature formation. We observed during two months with four elements which is long and short wave radiation, temperature, relative humidity. And we analyzed the correlation between the four factors of long-wave radiation, temperature, cloud form, and cloud amount during the summer two months on the night time. Observations were carried out at two sites in Daegu and nearby. The results are as follows. (1) Long-wave radiation change per $1^{\circ}C$ in summer was larger than winter. (2) Long-wave radiation amount is affected by temperature change when the amount of cloud is small. (3) Low cloud was analyzed to have more influence on long-wave radiation than high cloud.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.355-355
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• 2021

극한 폭염사상은 지난 20세기 이후 점점 더 빈번하게 발생하고 있으며, 더 광범위한 지역에서 발생하고 있다. 이러한 폭염사상은 다가오는 지구 온난화 시대에서 그 강도가 더 강해지고 지속기간이 길어질 것으로 예상되고 있다. 본 연구에서는 극한강우에 대한 강우강도-지속기간-빈도(intensity-duration-frequency, IDF)곡선의 개념을 폭염사상에 적용하여 미래의 극심한 폭염사상에 대한 발생확률, 강도 및 지속날짜(heat wave intensity-persistence day-frequency, HPF) 간의 관계를 확인해보고자 한다. 또한 해당 모델의 불확실성은 베이지안 기법을 이용하여 분석하였다. 우리나라 6개 주요 지역(대관령, 서울, 대전, 대구, 광주, 부산)에 대해 16개의 미래 일 최대 기온 앙상블 자료를 이용하여 비정상성 HPF곡선을 적용하였다. 미래 극한 폭염 앙상블 결과를 분석한 결과, 2050년을 기준으로 지속기간 2일에 대해 극한 폭염의 강도가 RCP 4.5 이하 시나리오 기준 1.23 ~ 1.69 ℃ 범위에서 상승할 가능성이 높은 것으로 나타났으며, RCP 8.5 이하 시나리오 기준의 경우 1.15 ~ 1.96 ℃ 범위로 나타났다. 또한 HPF 모델의 매개변수 추정으로 인한 불확실성의 경우, 다양한 기후 모델의 변동성으로 인한 불확실성보다 크게 나타났다. 모델의 매개변수 추정에 따른 불확실성을 반영한 결과, 2010~2050년에 해당하는 폭염의 강도에 대한 delta change의 95% 신뢰구간은 RCP 4.5 이하에서 0.53 ~ 4.94 ℃, RCP 8.5 이하에서 0.89 ~ 5.57 ℃로 나타났다.

• Magazine of the Korean Society of Agricultural Engineers
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• v.13 no.3
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• pp.2372-2387
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• 1971

1. Being seen at the table (20), the number of days which monthy average air temperatures are three degrees of Celsius thermometer($3^{\circ}C$) or more, is the highest marks to be 365 days at Cheju, secondly, 334 days at Pusan, and, Ulsan, Pohang, Mokpo,Yosu and Ullung-Do which all are coastal region are all 306 days, besides, all north area of Taegu and Kwang ju have 275 days consquently, there are 90 days, differance between maximum and minimum. 2. Being seen at the table(22), freezing dates to be influenced upon earth works are obtained, if (1) item is subtracted from 365 days one year. 3. Being seen at the table(18), number of rainy days of which records are 1 millimeter and over to be influenced upon earth through works, days which monthly average air temperatures are $3^{\circ}$ or more, is the maximum to be 100 days at Cheju and its minimum is 60 days at Taegu. Every other region show 70 days or so. But Ullung-Do is 90 days. 4. Being seen at the table (26), the numbers of annual earth works possibility days(4) are obtained, if the values (3) which number of rainy days more than 1 millimeter during the same period are multiplied by 1.27(coefficient of hindrance to earth works) are subtracted from the number of days which monthly average air temperatures $3^{\circ}$ or more [(1)-(3)=(4)]. 5. The number of annual earth works possibility days by regional groups is the maximum to be 242 days at Pusan, and Cheju are 239 days. Other regions are from 218 days to 181 days, namely, they are about 200 days.

• Korean Journal of Environmental Agriculture
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• v.13 no.2
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• pp.160-167
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• 1994

Meteorological elements such as air temperature, relative humidity, rainfall, sunshine duration, and so on observed by Korea Meteorological Administration, were analyzed to estimate the climatic change and to establish countermeasures in agriculture. Climatic differences were compared between two periods, early($1931{\sim}1960$) and late($1961{\sim}1990$), by calculating climatic resource indices, coldness index and warmth index of the two periods. Annual mean air temperatures of Seoul, Taegu, and Pusan in 1910's were 10.7, 12.3, and $13.4^{\circ}C$, respectively, having increased by $1.3^{\circ}C$ in Seoul and Taegu and by $0.9^{\circ}C$ in Pusan in 1990's. Mean air temperature in the spring($March{\sim}May$) increased by $0.69^{\circ}C$, which is a higher increasing rate than in the other seasons ($0.26{\sim}0.33^{\circ}C$). Regional differences exist in annual mean air temperature between the early and late part of the 20th century with little increase in this experiment did not germinate at pH 1.0. At pH 2.0, the flowering cabbage and geranium in the middle northern area, while in the southern part about $1^{\circ}C$increase was recorded during the last period. In the late period the annual rainfall increased by 100mm, except for the western coast area and the middle northern area. The P/E ratio showed a trend of an annual increase in the late period, being higher in the summer and lower in the winter. Relative humidity showed slight differences in seasons and regions but annual values did not. Duration of sunshine decreased by about an hour in the spring. Coldness index and warmth index of the late period were higher by 3.7 and 1.0 than those of the early period, respectively.

• Korean Journal of Environment and Ecology
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• v.34 no.6
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• pp.503-514
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• 2020

Climate change leads to changes in phenological response and movement of plant habitats. Korea's evergreen broad-leaved forest has widened its distribution area compared for the past 20 years, and the range of its native habitats is moving northward. We analyzed climate indices such as the warmth index, the cold index, the lowest temperature in the coldest month, and the annual average temperature, which are closely related to vegetation distribution, to predict the change in the native habitat of Lauraceae evergreen broad-leaved trees. We also analyzed the change and spatial distribution to identify the habitat climate characteristics of 8 species of Lauraceae evergreen broad-leaved trees distributed in the warm temperate zone in Korea. Moreover, we predicted the natural habitat change in the 21st century according to the climate change scenario (RCP 4.5/8.5), applying the MaxEnt species distribution model. The monthly average climate index of the 8 species of Lauraceae evergreen broad-leaved trees was 116.9±10.8℃ for the temperate index, the cold index 3.9±3.8℃, 1495.7±455.4mm for the annual precipitation, 11.7±3.5 for the humidity index, 14.4±1.1℃ for the annual average temperature, and 1.0±2.1℃ for the lowest temperature of winter. Based on the climate change scenario RCP 4.5, the distribution of the Lauraceae evergreen broad-leaved trees was analyzed to expand to islands of Jeollanam-do and Gyeongsangnam-do, adjacent areas of the west and south coasts, and Goseong, Gangwon-do on the east coast. In the case of the distribution based on the climate change scenario RCP 8.5, it was analyzed that the distribution would expand to all of Jeollanam-do and Gyeongsangnam-do, and most regions except for some parts of Jeollabuk-do, Chungcheongnam-do, Gyeongsangbuk-do, and the capital region. For the conservation of Lauraceae evergreen broad-leaved trees to prepare for climate change, it is necessary to establish standards for conservation plans such as in-situ and ex-situ conservation and analyze various physical and chemical characteristics of native habitats. Moreover, it is necessary to preemptively detect changes such as distribution, migration, and decline of Lauraceae evergreen broad-leaved trees following climate change based on phenological response data based on climate indicators and establish conservation management plans.