• Proceedings of the Korea Water Resources Association Conference
• /
• 2017.05a
• /
• pp.434-434
• /
• 2017

우리나라의 기후가 아열대 몬순기후로 변화가 이루어지고 있는 현재에 있어 과거의 강수패턴과 현재의 강수패턴은 많은 변화가 나타나고 있다. 우리가 일상생활에서 많이 사용되고 있는 계절의 변화를 나타내는 24절기의 경우 과거와 달리 기온이나 강수 등의 변화로 인해 절기의 구분이 상이한 경우가 많이 발생하고 있으며, 특히 농업에 있어 24절기를 기준으로 작물의 생육을 관리하는 인식이 기후변화로 인한 기온, 강수의 패턴이 과거와는 많은 차이가 발생하고 있다. 이러한 절기별 강수량의 변화는 농업용수의 계획에 있어 많은 영향을 미칠 것으로 판단된다. 본 연구에서는 우리나라의 관측소에서 관측된 기온, 강수를 24절기로 구분하여 과거와 현재의 변화정도를 분석하였다. 24절기의 강수량의 이동평균법을 이용하여 변동성을 분석한 결과에서는 서울, 대구, 부산의 경우 증가하였으며, 가장 많이 증가한 절기는 망종으로 서울의 경우 245%정도 증가된 것으로 분석되었으며, 전반적으로 120%이상 증가된 것으로 나타났다. 20년 이동평균 분석결과에서는 망종과 백로에서 120%이상 증가되는 것으로 나타났다.

• Journal of Bio-Environment Control
• /
• v.27 no.1
• /
• pp.64-70
• /
• 2018

In this study, eleven major coastal areas were selected and the climate environment and the greenhouse direction were analyzed. This research investigates the greenhouse heat loss according to the wind environment at target areas. The target areas were selected based on heated greenhouse cultivation area and wind environment standard. Temperature, wind speed, and wind direction among weather data for 30 years were collected and analyzed. The data were divided into the minimum, average, and maximum temperatures and the Meteorological Agency criteria applied to the weather and wind direction criteria. Data were collected in the range of $0{\sim}180^{\circ}$ considering the symmetry of the shape of the greenhouse. In addition, the wind direction is different for each region and the applied wind direction can be different when referring to the longitudinal direction of the greenhouse and the data are collected in the range of $0{\sim}90^{\circ}$. The results of this study are expected to be used to calculate the heating load of greenhouse installed in places wind speed high.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.22 no.4
• /
• pp.197-214
• /
• 2019

In this study, the correlation analysis was conducted between observed air temperature (maximum, minimum, and mean air temperature) and the daytime and nighttime data of Terra/Aqua MODIS LST(Moderate Resolution Imaging Spectroradiometer Land Surface Temperature) for 86 weather stations. All the data of the recent 11 years from 2008 to 2018 were prepared with daily base. In particular, the characteristics of the cold and heat waves incidence period in 2018 were analyzed. The correlation analysis was performed using the Pearson correlation coefficient(R) and root mean square error(RMSE). As a result of time series analysis, the trend between observed air temperature and MODIS LST were similar, showing the correlation above 0.9 in maximum temperature, above 0.8 in mean and minimum temperature. Especially, the maximum temperature was found to have the highest accuracy with Terra MODIS LST daytime, and the minimum temperature had the highest correlation with Terra MODIS LST nighttime. During the cold wave period, both Terra and Aqua MODIS LST showed higher correlations with nighttime data than daytime data. For the heat wave period, the Aqua MODIS LST daytime data was good, but the overall R was below 0.5. Additional analysis is necessary for further study considering such as land cover and elevation characteristics.

• The Korea Swine Journal
• /
• v.20 no.12 s.232
• /
• pp.64-66
• /
• 1998

농림부 국립수의과학검역원은 기온의 변화가 심한 환절기와 추운 겨울철에 자돈의 설사병 발생이 증가하여 더욱 많은 피해가 예상되므로 돼지 바이러스성 설사병의 발생주의보를 다음과 같이 발표합니다.

• Journal of the Korean Institute of Gas
• /
• v.16 no.1
• /
• pp.33-38
• /
• 2012

Analysis on gas accidents by types occurred has been made to prevent the recurrence of accidents, through analysis of past history of gas accident occurring environment. The number of gas accidents has been decreasing, but still accidents are occurring steadily. Gas-using environment and gas accidents are estimated to be closely connected since gas-using types are changing by time period, weather, etc. in terms of accident contents. As a result of analysing gas accidents by 7 meteorological elements, such as the mean temperature, the highest temperature, the lowest temperature, relative humidity, the amount of clouds, precipitation and wind velocity, it has been found out that gas accidents are influenced by temperature or relative humidity, and accident occurs more frequently when the sky is clean and wind velocity is slow. Possibility of gas accidents can be provided in real time, using the proposed model made to predict gas accidents in connection with the weather forecast service. Possibility and number of gas accidents will be checked real time by connecting to the business system of Korea Gas Safety Corp., and it is considered that it would be positively used for preventing gas accidents.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2022.05a
• /
• pp.311-311
• /
• 2022

전 세계적으로 기후변화 및 산업화로 인해 대규모 홍수, 가뭄, 폭염, 산불 등의 재해가 빈번하게 발생하고 있으며, 이러한 재해 및 재난을 조기에 발견하고 최소화를 위한 대응 체계 및 관리방안의 필요성이 증대되고 있다. 이러한 자연재해들의 특징은 추가 재해를 유발할 수 있다는 것으로 재해의 강도가 증가할 뿐만 아니라 여러 가지 재난 및 재해를 동시에 유발하는 형태로 변화하기 때문에, 단일자연재해 평가 기술을 바탕으로 복합자연재해에 대한 분석 및 감지가 진행되어야 한다. 최근 기후변화로 인한 기상 패턴의 변화 및 가뭄 발생빈도의 증가가 뚜렷하며, 국외에서는 폭염과 가뭄을 고려한 복합자연재해로 'Flash Drought'로 정의된 돌발가뭄에 대한 연구가 이루어지고 있다. 폭염과 가뭄은 단순 강우 부족으로 인한 가뭄, 높은 기온으로 인한 폭염 등이 서로 독립적으로 발생하는 경우와 강우부족과 폭염의 지속으로 인한 상호연관성이 존재하는 복합자연재해 등으로 구분할 수 있다. 돌발가뭄은 강수 부족 또는 폭염이 지속되거나 강도가 높아질 경우, 지면온도가 상승하여 토양수분이 필요 이상으로 증발하여 단기간에 발생하는 초단기 가뭄으로 복합자연재해에 해당하며, 이러한 돌발가뭄은 농업분야에서 작물 생장 및 영농기 활동에 큰 영향을 미치기 때문에 모니터링 및 감지 기술이 필요하다. 본 연구에서는 수문기상학적 요소를 활용하여 폭염 및 가뭄을 고려한 복합자연재해에 대한 상관분석을 수행하였다. 기상청에서 제공하는 기상자료(일최고기온/평균기온/최저기온, 강수량, 상대습도, 일조량 등)에 대한 전국 76개소 대상 기상자료를 구축하였으며, Sentinel, Landsat, MODIS(Moderate Resolution Imaging Spectroradiometer) 등과 같은 위성영상 자료를 구축하여 폭염과 가뭄에 대한 각각의 인자를 선정하고 상관 관계를 분석하였다. 본 연구의 결과는 향후 복합자연재해 감지 및 예측 기술 개발에 활용하여 재해 예방 및 대응에 대한 기초자료로 활용될 수 있을 것으로 판단된다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2002.05a
• /
• pp.333-337
• /
• 2002

남해 중부해역에서 적조발생과 관련해서 기상인자와의 상관성을 요약하면 다음과 같다. 적조 다발 월 비교에서 강수량이 적조 발생과 밀접한 상관을 보였다. 즉, 강수량은 육지 및 연안지역의 영양염류를 해역으로 유입시킴으로서 적조발생의 영양 공급원으로 중요한 역할을 한다. 이때의 기온은 대체로 적조 다발철인 여름과 초가을에 높은 값을 유지했다. 그러나 일조시수나 바람은 적조발생에 직접적인 연관성을 가지지는 않은 것으로 사료된다.

• The Korean Journal of Applied Statistics
• /
• v.32 no.5
• /
• pp.703-720
• /
• 2019

The influence of temperature on electricity demand is increasing due to extreme weather and climate change, and the climate impacts involves nonlinearity, asymmetry and complexity. Considering changes in government energy policy and the development of the fourth industrial revolution, it is important to assess the climate effect more accurately for stable management of electricity supply and demand. This study aims to analyze the effect of temperature change on electricity demand using the partial linear model. The main results obtained using the time-unit high frequency data for meteorological variables and electricity consumption are as follows. Estimation results show that the relationship between temperature change and electricity demand involves complexity, nonlinearity and asymmetry, which reflects the nonlinear effect of extreme weather. The prediction accuracy of in-sample and out-of-sample electricity forecasting using the partial linear model evidences better predictive accuracy than the conventional model based on the heating and cooling degree days. Diebold-Mariano test confirms significance of the predictive accuracy of the partial linear model.

• KOREAN JOURNAL OF CROP SCIENCE
• /
• v.68 no.4
• /
• pp.246-261
• /
• 2023

We investigated critical temperature for early marginal transplanting (CT-EMT) of the contemporary japonica rice varieties in Korea through the field, pot seedling tray, and the phytotron experiments during 2020 to 2023. The lowest mean temperature for 10 days from transplanting (MT-10DFT) that resulted in earlier heading date was 12.4℃ and the highest MT-10DFT that did not show the earlier heading date was 12.0℃ in the field study when the MT-10DFT varied by changing transplanting date. The lowest MT-10DFT that induced the increased biomass but not the earlier heading date was 11.6℃ and the highest MT-10DFT that showed neither the increased biomass nor the earlier heading date was 11.4℃. Compared to the 10-day later transplanting, the dates of the first root development, initiation of the chlorophyll recovery, and the first tiller development were earlier when the MT-10DFT was 9.1℃ or higher, 10.5℃ or higher, and 11.6℃ or higher, respectively, in the pot seedling tray and field experiments. The earliness of the first tiller development was a practical index for the estimation of CT-EMT during the early growth stage of rice. The response of transplanted rice to temperature treatments with the diurnal change of 10℃ in the phytotron study was similar to that shown in the field study. The data shown for constant temperature without a diurnal change revealed that the extent of positive effects of high temperature at day-time was greater than the extent of negative effects of low temperature at night-time on the early growth of transplanted rice. It was concluded that the critical MT-10DFT for early marginal transplanting of japonica rice in the temperate environments was between 11.4 to 11.6℃ based on the plant growth and between 12.0 to 12.4℃ based on the plant development.

• Journal of Korea Water Resources Association
• /
• v.34 no.4
• /
• pp.347-356
• /
• 2001

Even though the increase of greenhouse gases such as $CO_2$ is thought to be the main cause for global warming, its impact on global climate has not been revealed clearly in rather quantitative manners. However, researches using Genral Circulation Model(GCM) has shown that the accumulation of greenhouse gases increases the global mean temperature, which in turn impacts on the global water circulation pattern. A climate predictive capability is limited by lack of understanding of the different process governing the climate and hydrologic systems. The prediction of the complex responses of the fully coupled climate and hydrologic systems can be achieved only through development of models that adequately describe the relevant process at a wide range of spatial and temporal scales. These models must ultimately couple the atmospheres, oceans, and lad and will involve many submodels that properly represent the individual processes at work within the coupled components of systems. So far, there are no climate and related hydrologic models except local rainfall-runoff models in Korea. The purpose of this research is to predict the change of temperature in Korean Peninsula using regional scale model(IRSHAM96 model) and GCM data obtained from the increasing scenarios of $CO_2$ Korean Peninsula increased by $2.5^{\circ}C$ and the duration of Winter in $lxCO_2$ condition would be shorter the $2xCo_2$ condition due to global warming.