• Korean Journal of Agricultural and Forest Meteorology
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• v.3 no.3
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• pp.135-142
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• 2001

This study attempts to categorizes the factors of forest fire occurrences based on regional meteorologic data and general forest no characteristics of 18 cities and guns in Kangwon province. lo accomplish this goal, some statistical analyses such as analysis of variance, correspondence analysis and multidimensional scaling were adopted. To reveal the forest fires pattern of study region, a categorization process was conducted by employing the quantification approach which modified and quantified the metric-data of fire occurrence dates. Also, The fire occurrence similarity was compared by using multidimensional scaling for each study region. The major results are summarized as follows: It was found that the meteorological factors emerged as different to each region are average and maximum temperature, minimum dew point temperature and average and maximum wind speed. In the result of correspondence analysis representing relationships between fire causes and study regions, Kangrung is caused by arsonist, Chulwon, Hwachen and Yanggu caused by military factor, Sokcho and Chunchen caused by the debris burning, and Samchuk caused by general man-caused fires, respectively. Finally, the forest fire occurrence pattern of this study regions were divided into five areas such as, group I including Samchuk, Kangryung, Chunchen, Wonju, Hongchen and Hhoingsung, group II including Donghae, Taebaek, Yangyang and Pyongchang, group III including Jungsun, Chulwon and Whachen, group Ⅵ including Gosung, Injae and Yanggu, and group V including Shokcho and Youngwol.

• Korean Journal of Remote Sensing
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• v.33 no.5_2
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• pp.647-659
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• 2017

Garlic and onion are grown in major cultivation regions that depend on the crop condition and the meteorology of the production area. Therefore, when yields are to be predicted, it is reasonable to use a statistical model in which both the crop and the meteorological elements are considered. In this paper, using a multiple linear regression model, we predicted garlic and onion yields in major cultivation regions. We used the MODIS NDVI that reflects the crop conditions, and six meteorological elements for 7 major cultivation regions from 2006 to 2015. The multiple linear regression models were suggested by using stepwise regression in the extraction of independent variables. As a result, the MODIS NDVI in February was chosen the significant independent variable of the garlic and onion yield prediction model. In the case of meteorological elements, the garlic yield prediction model were the mean temperature (March), the rainfall (November, March), the relative humidity (April), and the duration time of sunshine (April, May). Also, the rainfall (November), the duration time of sunshine (January), the relative humidity (April), and the minimum temperature (June) were chosen among the variables as the significant meteorological elements of the onion yield prediction model. MODIS NDVI and meteorological elements in the model explain 84.4%, 75.9% of the garlic and onion with a root mean square error (RMSE) of 42.57 kg/10a, 340.29 kg/10a. These lead to the result that the characteristics of variations in garlic and onion growth according to MODIS NDVI and other meteorological elements were well reflected in the model.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.42-42
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• 2018

과거의 수질관리는 오염물질의 수질농도에 중심을 맞춰서 이루어져왔다. 하지만 최근 국내에 수질오염총량관리제도가 도입되고 시행되면서 농도 중심의 규제보다 과학적인 접근 방법으로 균형적인 국가개발과 함께 수질보전을 이루는 성과를 나타내고 있다. 따라서 우리나라 물관리 종합대책은 수질관리대책에서 통합유역관리체제로 전환되고 있으며, 새로운 물환경 정책추진 기반 구축과 하천환경변화에 따른 유역 관리방안이 필요한 실정이다. 따라서 본 연구에서는 각각의 유역특성이 명확한 시범 유역으로 황강, 남강, 금호강 유역을 선정하였으며, 수질측정망 자료와 기상관측소 자료를 활용한 요인분석을 통해 수질-기상 항목 간의 공분산과 상관관계 등을 이용하여 변수들 간의 상호관계를 분석하였다. 요인분석 결과를 토대로 문항과 변수들 간의 상관성 및 구조를 파악하여 여러 변수들이 지닌 정보를 적은 수의 요인으로 묶어서 유역별 수질 변동특성을 파악하였다. 요인 분석결과를 토대로 시범유역별 유역특성을 평가하고 상세진단을 통해 향 후 유역별 관리체계의 방향성을 제시하고자 하였다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.18 no.2
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• pp.12-28
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• 2019

Road geometry is one of the many factors that cause crashes, but the effect on traffic accident depends on weather conditions even under the same road geometry. This study identifies the variables affecting the crash severity by matching the highway accident data and weather data for 14 years from 2001 to 2014. A hierarchical ordered Logit model is used to reflect the effects of road geometry and weather condition interactions on crash severity, as well as the correlation between individual crashes in a region. Among the hierarchical models, we apply a random intercept model including interaction variables between road geometry and weather condition and a random coefficient model including regional weather characteristics as upper-level variables. As a result, it is confirmed that the effects of toll, ramp, downhill slope of 3% or more, and concrete barrier on the crash severity vary depending on weather conditions. It also shows that the combined effects of road geometry and weather conditions may not be linear depending on rainfall or snowfall levels. Finally, we suggest safety improvement measures based on the results of this study, which are expected to reduce the severity of traffic accidents in the future.

• Journal of Korea Entertainment Industry Association
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• v.13 no.1
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• pp.139-156
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• 2019

The purpose of this study was to provide a method to support customized weather and environmental information services for the successful operation of winter sporting events. First, individual in-depth interviews and surveys were conducted with athletes, coaching staffs and experts related to the competition for 10 different winter sports for analysis of their needs. We conducted face-to-face survey and survey considering the training schedule and situation of experts. The recorded voice file was converted into word text, and extracted the weather and environmental information elements embedded in the opinions of the research participants based on literature reviews and data. The findings are expected to provide basic data on the weather conditions required to support specialized weather information for future large winter sports events, including the PyeongChang Winter Olympics.

• Korean Journal of Agricultural and Forest Meteorology
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• v.16 no.2
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• pp.125-130
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• 2014

Forest recreation is done outdoor, so weather has impact on forest recreation. Impact of temperature on forest recreation has been studied. However, impact of precipitation on forest recreation has not been studied yet. This article paid attention to rainfall and rainy day among the variables explaining the visitor number of national park. We analyzed whether rainfall and rainy day have impact on visitor number. As the result of analysis, rainy day had impact on the visitor number of national park in Korea, and the degree of the impact was inelastic. However, rainfall could not explain the visitor number of national park. It is needed to monitor the impact of precipitation on forest recreation demand.

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 2002.11a
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• pp.384-389
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• 2002

건설현장에 환경과 관련된 압박요인이 작용한 것은 불과 몇 년 전이었으나 그 강도는 크게 증가하여 실행예산 내에서 공사를 마무리하기 위한 큰 부담요인이 되고 있다. 대부분의 건설 공사는 설계단계에 있어서는 환경문제의 수준을 예상치 못하고 착공에 들어가는 경우가 많다. 분진이나 기타 소음, 진동 등의 환경적 문제는 부지굴착 중이나 시공 중에 그 중요성이 인식된다.(중략)

• Korean Journal of Remote Sensing
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• v.14 no.1
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• pp.1-16
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• 1998

Microwave brightness temperature data measured from the Special Sensor Microwave/Imager (SSM/I) aboard Defense Meteorological Satellite Program (DMSP) satellite are used to investigate the characteristics of hydrological features of the East Asian summer monsoon during 1994 and 1995. The analyzed parameters include total columnar water vapor, cloud liquid water, and rain rate. These are estimated from SSM/I brightness temperature data for the two summer seasons (June, July, August) of 1994 and 1995 over the Asian monsoon region (0$^{\circ}$-60$^{\circ}$N, 45$^{\circ}$-180$^{\circ}$E). Results indicate that there are periodic westward movement of dry air over the 20$^{\circ}$-30$^{\circ}$N latitudinal belt with about 20-30 day period. Considering that the location of the North Pacific high is closely linked to the evolution of the monsoon activities over East Asia, the westward expansion of the North Pacific high may be the one important element modulating the monsoon intensity.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.18-18
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• 2017

우리나라뿐만 아니라 세계의 여러 국가에서 과거 발생 했던 강수의 통계적 특성에서 벗어나는 극치사상이 빈번 하게 관측되고 있다. 이와 같은 현상에 가장 큰 영향을 미치고 있는 요인중 하나로서 지구온난화가 원인으로 고려되고 있으며 실제 산업화 이후 온실가스의 증가와 더불어 극한 기상현상의 발생 빈도가 증가하였다. 우리나라는 과거 발생패턴과는 다른 극치 강우 사상이 빈번하게 관측되고 있으며 이로 인한 피해도 증가되고 있는 상황이다. 이러한 점에서 기존의 연구에서 개발한 계절강수량을 입력 자료로 하여 극치강수량을 추정할 수 있는 비정상성 Four - Parameter(4P)-Beta분포를 이용한 알고리즘을 본 연구에서는 기상인자를 이용하여 모형 내에서 계절강수량을 직접적으로 예측할 수 있는 알고리즘을 추가하여, 이를 직접적으로 일단위 이하의 극치강수량을 상세화 시킬 수 있는 모형으로 확장하고자 하며, 이를 통해 기상변동성을 다양한 시간규모에서 고려하기 위한 정보로 활용하고자 하였다.

• Horticultural Science & Technology
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• v.31 no.1
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• pp.8-13
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• 2013

This research was conducted to investigate the effect of climatic factors on fruit growth in 'Niitaka' pear (Pyrus pyrifolia). For ten years from 2000 to 2010, average full bloom date was April 19th and standard deviation was 4.2 days. Average fruit diameter 160 days after full bloom (DAFB) was 102.4 mm and standard deviation was 7.5 mm. Variance coefficients among climatic factors were higher in rainfall amount and sunshine hours than temperature. Only sunshine hours of climatic factors accumulated during the 160 DAFB had significant positive relationship ($r=0.68^*$) with fruit diameter 160 DAFB. Between full bloom date and fruit diameter 160 DAFB had no significant relationship. Fruit growth in 2004, as continuous rain fall and short sunshine hours, showed opposite pattern compared to that in 2009. Therefore, fruit growth of 'Niitaka' pear was more influenced by the accumulated sunshine hours than accumulated temperature.