• Journal of Korean Society for Geospatial Information Science
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• v.23 no.4
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• pp.11-16
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• 2015

Spatial and temporal information on near-surface air temperature is important for understanding global warming and climate change. In this study, the estimation algorithm of near-surface air temperature in Korea was developed by using spatial homogeneous surface information obtained from satellite remote sensing observations. Based on LST(Land Surface Temperature), NDWI(Normalized Difference Water Index) and NDVI(Normalized Difference Vegetation Index) as independent variables, the multiple regression model was proposed for the estimation of near-surface air temperature. The different regression constants and coefficients for warm and cold seasons were calculated for considering regional climate change in Korea. The near-surface air temperature values estimated from the multiple regression algorithm showed reasonable performance for both warm and cold seasons with respect to observed values (approximately $3^{\circ}C$ root mean-square error and nearly zero mean bias). Thus;the proposed algorithm using remotely sensed surface observations and the approach based on the classified warm and cold seasons may be useful for assessment of regional climate temperature in Korea.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.627-631
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• 2006

본 연구에서는 도시화가 도시지역의 수문기상변화에 미치는 영향을 분석하고자 하였으며, 토지이용의 변화로 인한 국지 수문기상의 변화를 모의하여 장기적인 변화 특성을 파악하여 이를 평가하고자 하였다. 이를 위해 도시화로 인한 우리나라 강우의 변화 특성을 파악하고자 하였으며, 도시화와 기후변화로 인한 수문환경의 변화를 반영한 대안의 수립 및 설계방안을 제시하였다. 특히, 본 연구에서는 도시화에 따른 수문기상변화의 예측 가능한 모형을 개발하여 다양한 상황에 대한 모의를 실시하고자 하였다. 이를 위해 도시화의 영향 정도를 시공간적으로 정량화 할 수 있는 모형을 개발하고 서울지역에 직접 적용 및 평가하였으며, 이를 통해 도시화로 인한 기상수문학적인 인자의 시공간적 영향을 분석 및 일반화하고, 도시화에 따른 기상수문학적 영향을 최소화할 수 있는 방안을 검토하고자 하였다. 서울 지역 장기 관측자료에 대한 분석을 통해 도시화의 진전에 따라 기온, 습도, 강수량이 증가하며, 일조 시간 및 잠재증발량은 감소함을 알 수 있었다. 이는 도시화와 기후변화로 인해 기온이 증가하고 도시화의 특성에 따라 습도 증가 및 일조시간과 잠재증발량의 감소가 나타나며, 이것이 큰 폭의 강수량 증가로 이어진 것으로 판단되었다. 또한, 모형을 통해 분석한 결과 토양수분과 실제증발량 모두 증가하는 것으로 나타났으며, 이로 인해 내부증발 강수량이 증가하는 것으로 분석되었다.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2000.11a
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• pp.379-381
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• 2000

도시의 기온은 지표면 피복상태의 변화와 도시내부의 에너지 사용의 증가에 의해서 주변의 교외지역과는 차이가 있다. 따라서 도시기후의 연구에 있어서 도시와 교외의 기온의 비교 연구는 도시기상의 기초가 되어 왔다(Howard, 1883, Lowry, 1969). 일반적으로 도시가 교외보다 기온이 높은 것으로 알려져 있고 기온이 높은 영역은 도심을 중심으로 나타나면서 도시열섬(Heat Island)으로 일컸는다. (중략)

• Korean Journal of Plant Resources
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• v.33 no.2
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• pp.106-115
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• 2020

In order to find out the relationship between spring phytophenological index and temperature index for the past nine years (2010~2018), this study identified the relationship between temperature changes and trends in spring phytophenological index of sprouting, flowering and leaf unfolding of Pinus densiflora Siebold & Zucc., Larix kaempferi (Lamb.) Carrière, Quercus mongolica Fisch. ex Ledeb., Rhododendron mucronulatum Turcz., Lindera obtusiloba Blume and Acer pseudosieboldianum (Pax) Kom. in Daegu Arboretum, Palgong mt., Juwang mt. and Gaya mt. The change in temperature was caused by an increase in the monthly average temperature between March and April compared to February for nine years, and the average temperature of Daegu Arboretum and Palgong mt. were higher by region. The sprouting, flowering and leaf unfolding were the fastest of the Lindera obtusiloba and the slowest of the Pinus densiflora for each species, and the fastest plant season in Daegu arboretum came. SPI (Spring Phytophenological Index) tends to advance by -1.267~-6.151/9 years, with the largest Pinus densiflora (-6.151/9 years), with the lowest rate of change for Rhododendron mucronulatum (-1.267 days/9 years). Species which shows significant values in sprouting, flowering and leaf unfolding is Rhododendron mucronulatum and Pinus densiflora, which correlate with the mean temperature of January to March. As a result of checking the time series change of SPI, the change rate in the four regions was all negative and the phenolocal index was all accelerating. Among them, the rate of change was greater in inland areas such as Daegu arboretum, Palgong Mt. and Gaya mt. and the rate of change was slightly lower in the case of Juwang mt., which is somewhat distant.

• Journal of Wetlands Research
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• v.23 no.4
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• pp.296-306
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• 2021

Elasticity is a statistical technique that interprets the changing pattern of another variable according to a change in one variable as a quantitative numerical value and provides more information than correlation analysis and is widely used in climate change research. In this study the elasticity was calculated and sensitivity analysis was performed using air temperature and water quality data of the major tributaries of the Nakdong River. In addition the confidence interval for the elasticity was calculated using the T-Test and the validity of the elasticity was examined. The strength of elasticity shows high strength in the order of summer>fall>spring>winter and the direction shows regional characteristics with both negative and positive elasticity. After performing hierarchical cluster analysis on monthly observation data they were classified into 5 clusters and the characteristics of each cluster were visually analyzed using a parallel coordinate graph. The direction and intensity of the air temperature elasticity show regional characteristics due to the relatively high population density and complex influencing factors such as sewage treatment plants, small-scale livestock houses and agricultural activities. In the case of TP it shows great regional variability according to the circulation of nutrients in the ecosystem caused by algae growth and death according to temperature changes. Since the air temperature elasticity of the major tributaries of the Nakdong River is over weak and is valid at the significance level of 5%, it was analyzed that there is a change in water quality according to the air temperature change.

• The Journal of Bigdata
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• v.4 no.1
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• pp.29-38
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• 2019

In this paper, we propose a sales forecasting model that forecasts the sales volume of short sleeves and outerwear according to the temperature change by utilizing accumulated big data from the online shopping mall 'A' over the past five years to increase sales volume and efficient inventory management. The proposed model predicts sales of short sleeves and outerwear according to temperature changes in 2018 by analyzing sales volume of short sleeves and outerwear from 2014 to 2017. Using the proposed sales forecasting model, we compared the sales forecasts of 2018 with the actual sales volume and found that the error rates are ±1.5% and ±8% for short sleeve and outerwear respectively.

• Korean Journal of Environment and Ecology
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• v.31 no.2
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• pp.135-151
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• 2017

Waterbirds were surveyed once a week from Oct. 2015 to Apr. 2016 to study the conditions of temperature of staying waterbirds on Wonju-Stream. The population staying on Wonju-Stream was in inverse proportion to the temperature change; birds increased as the temperature went down, and showed the highest peak counts on the 16th(27-Jan) survey, which was the lowest in temperature. decreasing as the temperature rose. The total population of Wonju River water birds increased with increasing freezing rate in proportion to the freezing rate of nearby reservoirs and tributaries. To clarify the relation of the numbers of the birds to temperature fluctuation, the correlation of the first period of wintering (1st~16th) and that of the later period(17th~27th) as well as the whole period was surveyed, based on the 16th which was the lowest in temperature. While most wintering waterbirds showed a negative correlation to the temperature, Egretta garzetta, Phalacrocorax carbo, and Ardea cinerea were positive in temperature relativity. Anas poecilorhyncha was in the highest relation to temperature fluctuation showing (7D/H3A(r=-0.960, P<0.000000001)) at 1-16 correlation(Cor.), with the whole wintering waterbird species showing the maximum correlation at 4D/LA in the every correlation(1~27Cor.(r=-0.942, P<0.01), 1~16Cor.(r=-0.947, P<0.01), 16~27Cor.(r=-0.958, P<0.01)). Each waterbird showed the correlation to the temperature variation(AT, HT, LT) and th duration(1D~7D) depending on the species differently. Most species demonstrated a bigger correlation to the lowest temperature rather than to the highest temperature. During the first half period of the wintering with the temperature falling it showed a high correlation to the temperature at the duration of 4D~7D, While it was for D1~D3 during the next half period.

• Proceedings of the Korean Geotechical Society Conference
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• 2010.03a
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• pp.895-906
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• 2010

21세기 들어 지구의 온난화 등 기후변화로 인하여 기온이 상승하고 해수면이 상승하는 등 그 변화의 증거가 관측되고 있다. 본 논문에서는 지구의 기온상승과 해수면의 상승이 지반구조물에 미치는 영향을 고찰해 보았다. 지구온난화에 따른 해수면 상승이 지반구조물의 안정성에 미치는 영향을 사례별로 예시해 보았고 국내외에서 이에 대한 적절한 대응 방안을 검토해 보았다.

• Proceedings of the Korean Environmental Sciences Society Conference
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• 2006.11a
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• pp.458-459
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• 2006

지구의 기후변화에 따른 생태계 변화를 예측하기위한 연구의 일환으로 월악산에서의 식물계절 연구를 위한 기초를 마련하고자 하였다. 그 결과, 기온의 변화 뿐만 아니라 단풍, 낙엽현삳과 같은 식물계절의 구성요소들이 다양하게 나타났다. 또한 같은 종에서도 국지적으로 분포하는 지형적 위치의 차이, 즉 능선인가 사면하부인가에 따라 큰 차이를 보였다. 따라서 사면, 능선과 같은 지형적 요소를 잘 고려하여 생물계절 연구의 장소를 선정하는 것과 기온변화에 잘 반응하는 식물 종을 골라 식물계절을 연구할 필요가 있으며, 이를 위한 보다 상세하고 구체적인 기초적 연구가 더욱 요구되고 있다.

• Korean Journal of Environment and Ecology
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• v.25 no.1
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• pp.47-56
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• 2011

The research was conducted to find optimal habitats of warm-temperate evergreen broad-leaved trees, and to investigate climate factors to determine their distribution using classification tree (CT) analysis. The warm-temperate evergreen broad-leaved trees model (EG-model) constructed by CT analysis showed that Mean minimum temperature of the coldest month (TMC) is a major climate factor in determining distribution of warm-temperate evergreen broad-leaved trees. The areas above the $-5.95^{\circ}C$ of TMC revealed the optimal habitats of the trees. The coldest month mean temperature (CMT) equitable to $-5.95^{\circ}C$ of TMC is $-1.7^{\circ}C$, which is lower than $-1^{\circ}C$ of CMT of warm-temperate evergreen broad-leaved trees. Suitable habitats were defined for warm-temperate evergreen broad-leaved trees in Korea. These habitats were classified into two areas according to the value of TMC. One area with more than$-5.95^{\circ}C$ of TMC was favorable to trees if the summer precipitation (PRS) is above 826.5mm; the other one with less than $-5.95^{\circ}C$ of TMC was favorable if PRS is above 1219mm. These favorable conditions of habitats were similar to those of warm-temperate evergreen broad-leaved trees in Japan. We figured out from these results that distribution of warm-temperate evergreen broad-leaved trees were expanded to inland areas of southern parts of Korean peninsula, and ares with the higher latitude. Finally, the northern limits of warm-temperate evergreen broad-leaved trees might be adjusted accordingly.