• The Journal of the Korean dental association
• /
• v.53 no.11
• /
• pp.795-803
• /
• 2015

A questionnaire-based survey was done to evaluate the patients' perception on the use of Rubber Dam (RD) for the tooth isolation during dental treatment. Total 106 questionnaire were gathered and the data were analyzed according to the patients' gender, age, previous experience of RD. The 96% of total patients reported no experience of RD in their previous treatment. The first advantage of RD was selected as the protection of irrigant and medication into the oral cavity and the disadvantage was selected as saliva gathering during treatment. 98% of patients want to use RD for the next treatment and 99% remarked that the RD is essential for the dental treatment. Based on the surveyed data, majority of the patients highly satisfied with the RD use and they want to use RD and may consider the use of RD for the selection of dental clinic.

• Atmosphere
• /
• v.25 no.3
• /
• pp.461-472
• /
• 2015

The sudden stratospheric warming (SSW), which is characterized by an abrupt increase of polar stratospheric temperature by several tens of degrees in a week, has been known to affect tropospheric weather and climate on sub-seasonal time scale in the boreal winter. Such downward coupling has been often examined in North Atlantic and Europe, but rarely examined in East Asia. In this study, by applying the two definitions of SSW to the reanalysis data, the possible impacts of the SSW events on the surface air temperature (SAT) and tropospheric circulation in East Asia are analyzed. It is found that Eurasian continent, including Siberia and the Northeast Asia, tends to experience anomalously cold SAT for up to sixty days after the SSW events. The resulting SAT anomalies largely resemble those associated with negative Artic Oscillation. However, over East Asia, SSW-related SAT change is weak and not statistically significant. Only during the extreme SSW events when the downward coupling between the stratosphere and troposphere is strong, East Asia exhibits significantly cold SAT anomalies. This relationship is presented by grouping SSW events into those followed by cold SAT anomalies over East Asia and those by warm anomalies for varying threshold values of the SSW events.

• Journal of The Korean Society of Agricultural Engineers
• /
• v.63 no.6
• /
• pp.49-60
• /
• 2021

BCSA (Bias-Correction and Stochastic Analog) is a statistical downscaling technique designed to effectively correct the systematic errors of GCM (General Circulation Model) output and reproduce basic statistics and spatial variability of the observed precipitation filed. In this study, the applicability of BCSA was evaluated using the ASOS observation data over South Korea, which belongs to the monsoon climatic zone with large spatial variability of rainfall and different rainfall characteristics. The results presented the reproducibility of temporal and spatial variability of daily precipitation in various manners. As a result of comparing the spatial correlation with the observation data, it was found that the reproducibility of various climate indices including the average spatial correlation (variability) of rainfall events in South Korea was superior to the raw GCM output. In addition, the needs of future related studies to improve BCSA, such as supplementing algorithms to reduce calculation time, enhancing reproducibility of temporal rainfall patterns, and evaluating applicability to other meteorological factors, were pointed out. The results of this study can be used as the logical background for applying BCSA for reproducing spatial details of the rainfall characteristic over the Korean Peninsula.

• Journal of Korean Society on Water Environment
• /
• v.30 no.5
• /
• pp.549-558
• /
• 2014

Occurrence frequency of flood and drought tends to increase in last a few decades, leading to social and economic damage since the abnormality of climate changes is one of the causes for hydrologic facilities by exceedance its designed tolerance. Soil and Water Assessment Tool (SWAT) model was used in the study to estimate temporal variance of groundwater recharge and baseflow. It was limited to consider recession curve coefficients in SWAT model calibration process, thus the recession curve coefficient was estimated by the Baseflow Filter Program (BFLOW) before SWAT model calibration. Precipitation data were estimated for 2014 to 2100 using three models which are GFDL-ESM2G, IPSL-CM5A-LR, and MIROC-ESM with Representative Concentration Pathways (RCP) scenario. SWAT model was calibrated for the Soyang watershed with NSE of 0.83, and $R^2$ of 0.89. The percentage to precipitation of groundwater recharge and baseflow were 27.6% and 17.1% respectively in 2009. Streamflow, groundwater recharge, and baseflow were estimated to be increased with the estimated precipitation data. GFDL-ESM2g model provided the most large precipitation data in the 2025s, and IPSL-CM5A-LR provided the most large precipitation data in the 2055s and 2085s. Overall, groundwater recharge and baseflow displayed similar trend to the estimated precipitation data.

• Journal of Environmental Science International
• /
• v.16 no.5
• /
• pp.541-548
• /
• 2007

A three-dimensional linear model and the Advanced Regional Prediction System (ARPS) were used to simulate parabola-shaped disturbances and clouds in the lee of a bell-shaped mountain. The ARPS model was compared in the x-y plane against the linear model's analytic solution. Under similar conditions with the linear theory, the ARPS produced well-developed parabola-shaped mountain disturbances and confirmed the features are accounted for in the linear regime. A parabola-shaped cloud in the lee of an isolated bell-shaped mountain was successfully simulated in the ARPS after 6 hours of integration time with the prescribed initial and boundary conditions, as well as a microphysical scheme.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2015.05a
• /
• pp.148-148
• /
• 2015

기후와 인간 활동의 변화는 하천의 유량을 변화시키는 중요한 요소들 중 하나이다. 하천관리를 위해서는 이 요소들의 긍정적인 영향과 부정적인 영향이 하천에 얼마나 많은 영향을 끼치고 있는지 수치화하여 관리해야한다. 또한 상류에서의 기후와 인간 활동에 의해 변화된 유량은 하천 하류까지 전달되어 적지 않는 영향을 미치고 있다. 효과적인 하천관리를 위해서는 유역 내 기후와 인간 활동에 의해 변화된 유량과 하류하천에 미치는 영향을 정량화하여야 한다. 본 연구에서는 하천에서 기후와 인간 활동에 의한 유량 변화를 정량화 하고 그 요소들이 상류에서 하류에 얼마나 많이 전달이 되는지 분석하였다. 본 연구 결과 수리구조물이 설치되어 있는 하천에서는 인간 활동에 의한 유량변화량이 크게 나타났다. 상류의 수리구조물에 의한 영향은 하천 하류에도 크게 전달되는 것으로 분석되었다. 또한 기후적인 요인에 의해 유량의 변화가 큰 지역은 그 외 지역보다 자연 재해에 의한 피해 위험도가 높다고 판단된다. 본 연구의 결과는 미래의 효과적인 수자원관리를 결정하는데 중요한 정보를 제공해줄 수 있을 것이라 기대된다.

• Journal of Environmental Impact Assessment
• /
• v.24 no.3
• /
• pp.205-216
• /
• 2015

The CMIP5 climate change scenarios from 34 GCMs were analyzed to quantitatively assess future changes in temperature, precipitation, and solar radiation against the global region and the Northeast Asia region with a focus on South Korea, North Korea, or Japan. The resulting projection revealed that the Northeast Asia region is subjected to more increase in temperature and precipitation than the global means for both. In particular, temperature and precipitation in North Korea were projected to increase about $5.1^{\circ}C$ and 18%, respectively under the RCP 8.5 scenario, as compared to the historical means for 30 years (1971-2000), although a large uncertainty still exists among GCMs. For solar radiation, global mean solar radiation was predicted to decrease with time in all RCP scenarios except for the RCP 2.6 scenario. On the contrary, it was predicted that the amount of solar radiation in the Northeast Asia increases in the future period.

• Journal of Korea Water Resources Association
• /
• v.50 no.1
• /
• pp.17-28
• /
• 2017

A recent increase in extreme weather events and flash floods associated with the enhanced climate variability results in an increase in climate-related disasters. For these reasons, various studies based on a high resolution weather radar system have been carried out. The weather radar can provide estimates of precipitation in real-time over a wide area, while ground-based rain gauges only provides a point estimate in space. Weather radar is thus capable of identifying changes in rainfall structure as it moves through an ungauged basin. However, the advantage of the weather radar rainfall estimates has been limited by a variety of sources of uncertainty in the radar reflectivity process, including systematic and random errors. In this study, we developed an ensemble radar rainfall estimation scheme using the multivariate copula method. The results presented in this study confirmed that the proposed ensemble technique can effectively reproduce the rainfall statistics such as mean, variance and skewness (more importantly the extremes) as well as the spatio-temporal structure of rainfall fields.

• Research in Plant Disease
• /
• v.26 no.3
• /
• pp.121-133
• /
• 2020

Climate change, increased extreme weather and climate events, and rapidly changing socio-economic environment threaten agriculture and thus food security of our society. Therefore, it is urgent to shift from conventional farming to smart agriculture using big data and artificial intelligence to secure sustainable growth. In order to efficiently manage plant diseases through smart agriculture, agricultural big data that can be utilized with various advanced technologies must be secured first. In this review, we will first learn about agrometeorological big data consisted of meteorological, environmental, and agricultural data that the plant pathology communities can contribute for smart plant disease management. We will then present each sequential components of the smart plant disease management, which are prediction, monitoring and diagnosis, control, prevention and risk management of plant diseases. This review will give us an appraisal of where we are at the moment, what has been prepared so far, what is lacking, and how to move forward for the preparation of smart plant disease management.

• Journal of The Korean Society of Agricultural Engineers
• /
• v.62 no.5
• /
• pp.47-62
• /
• 2020

Rice paddy accounts for approximately 52.5% of all farmlands in South Korea, and it is closely related to the water environment. Climate change is expected to affect not only agricultural productivity also the water and the nutrient circulation. Therefore this study was aimed to evaluate changes of nitrogen load from rice paddy considering climate change scenario uncertainty. APEX-Paddy model which reflect rice paddy environment by modifying APEX (Agricultural Policy and Environmental eXtender) model was used. Using the AIMS (APCC Integrated Modeling Solution) offered by the APEC Climate Center, bias correction was conducted for 9 GCMs using non-parametric quantile mapping. Bias corrected climate change scenarios were applied to the APEX-Paddy model. The changes and uncertainty in runoff and nitrogen load were evaluated using multi-model ensemble. Paddy runoff showed a change of 23.1% for RCP4.5 scenario and 45.5% for RCP8.5 scenario compared the 2085s (2071 to 2100) against the base period (1976 to 2005). The nitrogen load was found to be increased as 43.9% for RCP4.5 scenario and 76.0% for RCP8.5 scenario. The uncertainty analysis showed that the annual standard deviation of nitrogen loads increased in the future, and the maximum entropy indicated an increasing tendency. And Duncan's analysis showed significant differences among GCMs as the future progressed. The result of this study seems to be used as a basis for mid- and long-term policies for water resources and water system environment considering climate change.