• 한국산림과학회지
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• 제88권1호
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• pp.73-85
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• 1999

본 연구는 경기도 가평, 광주, 그리고 충청북도 영동에 식재된 잣나무 인공조림지의 초기 생장 특성을 파악하고 환경 요인으로서 지역적 기후 조건이 잣나무 초기 생장에 미치는 영향을 구명하기 위하여 수행하였다. 먼저 각 연구 지역의 임령별 생존본수, 평균 흉고직경, 평균 수고, ha당 흉고단면적, ha당 재적 등의 임분통계량을 측정 요약하였으며, 이에 근거하여 10년생부터 18년생까지 8년간의 초기생장에 대한 임분변수별 정기평균생장량을 파악하였다. 연구 대상지의 지역별 미기후는 지형과 기후치간의 관계를 이용한 지형기후학적 방법에 의하여 평균기온, 최고기온, 최저기온, 상대습도, 강수량, 그리고 일조시수의 월별 평년값을 추정하였다. 이들을 이용하여 임목생장에 영향을 미칠 것으로 판단되는 온량지수, 한랭지수, 건조지수 등의 17개 기후변수를 지역별로 도출하고 임분변수별 정기평균생장량과의 상관분석 및 회귀분석을 실시하였다. 지역별 잣나무의 초기 생장은 경기도 가평과 광주의 순서로 우수하였으며, 충청북도 영동은 매우 저조한 성장을 보이고 있었다. 이러한 지역별 생장 특성은 각 연구 대상지의 미기후와 밀접한 관련을 가지고 있는데, 기온이 낮고 강수량이 많으며 비교적 높은 습도를 유지하는 지역이 잣나무 생장에 적합한 것으로 나타났다. 특히 직경생장, 단면적생장, 재적생장은 주로 강수량에 의하여 영향을 받으며, 수고생장은 기온이 낮으면서 강수량이 많은 지역에서 양호한 생장을 하는 것으로 파악되었다.

• 해양환경안전학회지
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• 제13권2호
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• pp.147-153
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• 2007

이 연구의 목적은 부산항에 입항하는 대형 컨테이너 선박의 안전 접안 조종을 위한 한계풍속을 설정하는데 있다. 계산결과, 정상풍속 13.5m/sec 이하의 바람에서는 예선 4500H.P.의 Z. peller 2척을 이용하여 안전 접안 조선하는데 큰 위험이 없음을 알았다. 그러나 돌풍율 25%를 포함한 강풍 16.9m/sec 이상의 기상상태에서는 선박조종이 위험하게 됨을 알았고, 돌풍율을 포함하여 풍속이 16.9m/sec 에 달하는 강풍 하에서 대형 컨테이너 선박을 부득이 접안 조종할 때는 4500 H.P. Z. peller 3 척으로 조선보조를 받아야 함을 알았다.

• 한국작물학회지
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• 제27권4호
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• pp.291-295
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• 1982

The biosphere of the earth is not only about to overpass the limit to meet the food demand of the world but also the stability of its food production has been also jeopardized by the disasters and pests, especially by the unpredictable weather disasters. In addition the agricultural and industrial pollution against biosphere aggravates the unstability of agricultural production and constitutes a threat in securing the food of the world. In Korea the yield level of crops has been greatly enhanced by the improved agrotechnologies and varietal improvement, but the yield variability due to unfavorable weather events and pests remained unchanged with the change in time. Among weather-related disasters the drought and flood damages has occurred most frequently and impacted most greatly on the agricultural production and its stability. During last decade (1970-l980) the rice production experienced the average annual loss of 0.544 million metric ton which was composed of 0.21 million M/T by climatic disaster, 0.21 million M/T by disease and 0.12 million M/T by insects, and the annual loss of upland crop production from climatic disasters amounted to 0.06 million metric tons. Especially in 1980, the global climatic disasters due to cold or hot temperature endangered the agricultural production all over the world and also the rice production of Korea recorded the unprecedented yield reduction of about 30 percent due to cool summer weather. Nowadays, the unusual weather conditions are prevaling throughout the world, and agro-meteologists predict that the unpredictable cool summer and drought will often attack the rice and other crops in 1980's. To meet the coming weather unstability and to secure the stable crop production, multilateral efforts should be rendered. Therefore, the Korea Society of Crop Science, which commemorates the 20th anniversary of its founding, prepared the symposium on Meteological Stress in Crop Production and its Countermeasures to discuss the decrease in agricultural production due to weather-related disasters and to devise the multilateral counter-measures against the unfavorable weather events.

• 한국정보통신학회논문지
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• 제24권11호
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• pp.1492-1499
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• 2020

기상 레이다 시스템은 일반적으로 강우 및 풍속 등과 관련된 기상 현상을 나타낸다. 이러한 시스템은 대부분의 경우 장거리용이며 비교적 높은 고도를 지향하고 있어 넓은 지역에서의 전체적인 기상 현상을 파악하는 목적으로는 매우 유용하다. 그러나 최근에 와서 국지적인 폭우나 또는 돌풍 등에 의한 재난현상이 빈번히 발생되고 있기 때문에 이러한 기상이변 현상의 탐지가 매우 중요한 문제이다. 국지적인 기상 이변 탐지목적의 기상 레이다는 저고도 탐지 및 급변하는 국지적인 기상상황의 빠른 탐지가 필요하다. 이러한 운용환경에서는 상대적으로 지표면 클러터가 큰 영향을 미치며 안테나의 신호 획득시간도 매우 짧아진다. 따라서 기존의 도플러 스펙트럼 추정방법에 심각한 문제가 발생할 수 있다. 본 논문에서는 이러한 문제점을 해결하기 위하여 AR(autoregressive) 도플러 스펙트럼 추정 방법들을 적용하고 결과들을 고찰하였다. 적용된 방법들을 이용하면 기존의 FFT(Fast Fourier Transform) 방법에 비하여 향상된 도플러 스펙트럼 추정이 가능함을 보였다.

• 한국환경과학회지
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• 제6권6호
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• pp.613-628
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• 1997

Diurnal variations of air quality due to the characteristic features of local weather phenomena over Kunsan, Taegu, and Pohang are analyzed using various synoptic wand fields and the characteristics of local weather during the period of 1990 to 1992. The air pollutants analyzed are sulfur dioxide($SO2_$), nitrogen dioxide($NO_2$), and oxidants ($0_3$). The synoptic wind fields estimated at over the 850 hPa geopotential height are divided in terms of four wand directions and two wand speed categories for each season. The synoptic weather conditions are also classified Into two categories depending on the 850 hPa cloud amounts. The present study shows that the $SO_2$ concentration over Kunsan, and Taegu was maximum at the two or three hours after sunrise and second primary was three or flour hours after sunset. On the other hand, Its concentration over Kunsan was malnmum at 1900 LST or 2000 LST The $O_3$ concentration over the three cities shows Its mapdmum In the afternoon when the solar radiation is strong. The $NO_2$ concentration over Kansan shows in reverse proportion to the $O_3$ concentration over the Kunsan.

• 한국자동차공학회논문집
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• 제21권5호
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• pp.82-86
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• 2013

The automotive weather strip has the functions isolating of dust, water, noise and vibration from outside. The core of weather strip is made of steel with stiffness. By using the wire formed as the core of weather strip, weight can be reduced as much as 35% by comparing with existing steel core. For this reason, forming wire is necessary to keep the zigzag shape as it is. The deformation which is occurred during forming process can be predicted and it can be used in case of manufacturing dies through CAE. In this paper, rolling process conditions are deduced and the springback amount is predicted after rolling process by using the simulation. The springback amount of product is measured by using optical microscope, and measurement result is compared with the simulation result of springback as the same condition. The suitable gap between dies to compensate springback after rolling process is predicted through simulation and it is used for manufacturing dies.

• International Journal of Advanced Culture Technology
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• 제6권4호
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• pp.190-194
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• 2018

The runway visual range is one of the important factors that decide the possibility of taking offs and landings of the airplane at local airports. The runway visual range is affected by weather conditions like fog, wind, etc. The pilots and aviation related workers check a local weather forecast such as runway visual range for safe flight. However there are several local airfields at which no other forecasting functions are provided due to realistic problems like the deterioration, breakdown, expensive purchasing cost of the measurement equipment. To this end, this study proposes a prediction model of runway visual range for a local airport by applying convolutional neural network that has been most commonly used for image/video recognition, image classification, natural language processing and so on to the prediction of runway visual range. For constituting the prediction model, we use the previous time series data of wind speed, humidity, temperature and runway visibility. This paper shows the usefulness of the proposed prediction model of runway visual range by comparing with the measured data.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2022년도 학술발표회
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• pp.142-142
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• 2022

Adjusting weather radar data is a prerequisite for its use in various hydrological studies. Effect of spatial variables are considered to adjust weather radar data in many of these researches. The existence of diverse topography in South Korea has increased the importance of analyzing these variables. In this study, some spatial variable like slope, elevation, aspect, distance from the sea, plan and profile curvature was considered. To investigate different topographic conditions, tried to use three radar station of Gwanaksan, Gwangdeoksan and Gudeoksan which are located in northwest, north and southeast of South Korea, respectively. To form the suitable fuzzy model and create the best membership functions of variables, ANFIS-PSO model was applied. After optimizing the model, the correlation coefficient and sensitivity of adjusted Quantitative Precipitation Estimation (QPE) based on spatial variables was calculated to find how variables work in adjusted QPE process. The results showed that the variable of elevation causes the most change in rainfall and consequently in the adjustment of radar data in model. Accordingly, the sensitivity ratio calculated for variables shows that with increasing rainfall duration, the effects of these variables on rainfall adjustment increase. The approach of this study, due to the simplicity and accuracy of this method, can be used to adjust the weather radar data and other required models.

• 한국농공학회논문집
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• 제66권4호
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• pp.17-26
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• 2024

This study aimed to design and build a web-based decision support system for wheat cultivation management. The system is designed to collect and measure the weather environment at the growth stage on a daily basis and predict the soil moisture content. Based on this, APSIM, one of the process-based crop models, was used to predict the potential yield of wheat cultivation in real time by making decisions at each stage. The decision-making system for wheat crop management was designed to provide information through a web-based dashboard in consideration of user convenience and to comprehensively evaluate wheat yield potential according to past, present, and future weather conditions. Based on the APSIM model, the system estimates the current yield using past and present weather data and predicts future weather using the past 40 years of weather data to estimate the potential yield at harvest. This system is expected to be developed into a decision support system for farmers to prescribe irrigation and fertilizer in order to increase domestic wheat production and quality by enhancing the yield estimation model by adding influence factors that can contribute to improving wheat yield.

• 한국환경과학회지
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• 제26권5호
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• pp.675-684
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• 2017

Provider-oriented weather information has been rapidly changing to become more customer-oriented and personalized. Given the increasing interest in wellness and health topics, the demand for health weather information, and biometeorology, also increased. However, research on changes in the human body according to weather conditions is still insufficient due to various constraints, and interdisciplinary research is also lacking. As part of an effort to change that, this study surveyed medical practitioners at an actual treatment site, using questionnaires, to investigate what kind of weather information they could utilize. Although there was a limit to the empirical awareness that medical staff had about weather information, most respondents noted that there is a correlation between disease and weather, with cardiovascular diseases (coronary artery disease (98.5%) and hypertension (95.9% ), skin diseases (atopic dermatitis (100%), sunburn (93.8%)) being the most common weather-sensitive ailments. Although there are subject-specific differences, most weather-sensitive diseases tend to be affected by temperature and humidity in general. Respiratory and skin diseases are affected by wind and solar radiation, respectively.