• 전기학회논문지
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• 제58권9호
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• pp.1700-1705
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• 2009

In general, short term load forecasting is based on the periodical load pattern during a day or a week. Therefore, the conventional methods do not expose stable performance to every day during a year. Especially for anomalous weather conditions such as typhoons, the methods have a tendency to show the conspicuous accuracy deterioration. Furthermore, the tendency raises the reliability and stability problems of the conventional load forecast. In this study, a new load forecasting method is proposed in order to increase the accuracy of the forecast result in case of anomalous weather conditions such as typhoons. For irregular weather conditions, the sensitivity between temperature and daily load is used to improve the accuracy of the load forecast. The proposed method was tested with the actual load profiles during 14 years, which shows that the suggested scheme considerably improves the accuracy of the load forecast results.

• 한국농공학회논문집
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• 제63권2호
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• pp.61-74
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• 2021

Agriculture is most closely related to weather, and the government pursues stable food production by weather research. However, abnormal weather conditions have occurred frequently around the world in recent years, and stable food production has been threatened. Among them, heavy snow in winter tends to increase in frequency and size, which causes serious damage to greenhouses. Therefore, it is imperative to build a system reflecting various demands to reduce the damage to agricultural facilities caused by heavy snow. A business model can realize this as a way of commercialization, however, no suitable model has been presented to date. Therefore, this study aims to design a representative business model that can establish a safety system by distributing a greenhouse disaster prevention warning system for heavy snow to farms.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.443-449
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• 2022

With climate change and the global population growth, the frequency and scope of wildfires are constantly increasing, which threatened people's lives and property. For example, according to California Department of Forestry and Fire Protection, in 2020, a total of 9,917 incidents related to wildfires were reported in California, with an estimated burned area of 4,257,863 acres, resulting in 33 fatalities and 10,488 structures damaged or destroyed. At the same time, the ongoing development of technology provides new tools to simulate and analyze the spread of wildfires. How to use new technology to reduce the losses caused by wildfire is an important research topic. A potentially feasible strategy is to simulate and analyze the spread of wildfires through computing technology to explore the impact of different factors (such as weather, terrain, etc.) on the spread of wildfires, figure out how to take preemptive/responsive measures to minimize potential losses caused by wildfires, and as a result achieve better management support of wildfires. In preparation for pursuing these goals, the authors used a powerful computing framework, Spark, developed by the Commonwealth Scientific and Industrial Research Organization (CSIRO), to study the effects of different weather factors (wind speed, wind direction, air temperature, and relative humidity) on the spread of wildfires. The test results showed that wind is a key factor in determining the spread of wildfires. A stable weather condition (stable wind and air conditions) is beneficial to limit the spread of wildfires. Joint consideration of weather factors and environmental obstacles can help limit the threat of wildfires.

• 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.

• 한국항해항만학회지
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• 제44권3호
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• pp.166-173
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• 2020

항로표지사고는 통항선박의 항행위험을 초래하고, 항로표지의 신뢰성을 저하시킬 수 있다. 해상에 가장 많이 설치·운영되고 있는 등부표는 바람, 조류, 파도 등 해양기상의 영향으로 인한 사고율이 가장 높다. 그러나 우리나라 등부표 설치해역별 해양기상조건이 다름에도 불구하고, 등부표의 동적안정성 계산에 있어 전 해역에 일류적인 극한조건만을 적용하고 있는 문제점이 있다. 따라서 본 연구의 목적은 등부표 중 해상에 가장 많이 설치되어 있는 LL-26(M) 등부표의 동적안정성을 분석하여, LL-26(M) 등부표의 안정적인 운영 방안을 제시하는 것이다. 이를 위해 등부표와 관련한 선행연구의 해역별 기상을 분석한 후, 해양기상에 의한 사고발생 횟수가 많은 해역별 대표 등부표에 적용하여 동적안정성(경사각)을 추정하였다. 연구결과 각 해역별 LL-26(M) 등부표의 경사각은 상이하였다. 즉, 바람에 의한 경사각은 10.329°~36.868°이고, 조류에 의한 경사각은 0.123°~18.834°이며, 파도에 의한 경사각은 4.777°~20.695°로 나타났다. 이러한 연구결과는 LL-26(M) 등부표의 안정적 운영을 위한 해역별 설치기준 마련에 유용한 기초자료로 활용될 수 있을 것이다.

• Journal of Radiation Protection and Research
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• 제38권4호
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• pp.208-213
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• 2013

원전의 안전성분석보고서에는 운영기간중 만일의 사고에 따른 방사선안전성 확보를 위해 부지의 적합성 평가가 요구된다. 부지 적합성은 극히 보수적인 가정을 적용하여 제한구역경계에서 방사선 피폭영향을 평가하여 판단하게 된다. 이들 평가는 방사선영향평가 모델을 보수적인 기상조건 등에 적용하여 수행된다. 본 연구에서는 보수적인 평가 결과의 타당성 검증을 목적으로 확산에 양호하지 못한 악기상 조건에서 추적자확산실험을 실시하였다. 원전부지 실험에 앞서 대전시 인근 유성구 학하리 평지에서 추적자 확산실험을 실시하였다. 확산실험의 분석결과 기존의 확산조건이 좋은 경우의 실험결과와 비교할 때 크게 두 가지 큰 차이를 발견할 수 있었다. 하나는 풍속이 매우 낮고 풍향의 변화가 심해 주 풍하 방향에서 나타나는 최대 농도를 찾기 어렵다는 것이고, 다른 하나는 대기가 매우 안정하여 지상 10 m 낮은 높이에서의 방출임에도 불구하고 방출점에서 수 백 m 떨어진 지점에서 처음으로 상대적으로 높은 농도 분포가 나타나는 경우가 있다는 것이다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2017년도 추계학술대회
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• pp.514-517
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• 2017

태양광 발전 시스템에서 전력 생산은 기상 상태에 따라 크게 영향을 받으므로 안정적인 부하 운용을 위해 태양광 에너지에 대한 예측이 필수적이다. 따라서 태양광 에너지 예측을 위한 기계학습 알고리즘의 입력으로 기상 상태에 대한 데이터가 필요하다. 본 논문에서는 알고리즘에 대한 입력 데이터로 표면의 3시간 동안 누적된 강수량, 상 하향 장파 복사선 평균, 상 하향 단파 복사선 평균, 지상 2m에서의 3시간 동안 온도, 표면에서의 온도 등 15가지 종류의 기상 데이터를 사용한다. 기상 데이터의 통계적 특성을 파악하고 상관관계를 분석하여 태양광 에너지와 70% 이상의 높은 상관성을 갖는 하향 단파 복사선 평균과 상향 단파 복사선 평균을 특징벡터의 주요 원소로 추출하였다.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 1999년도 토목섬유 학술발표회 논문집
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• pp.39-55
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• 1999

Geotextile composites to improve the weather ability were composed of recycled polyester geotextile with carbon black as ultraviolet stabilizer and polypropylene geotextile by needle-punching method, and evaluated physical properties, ultraviolet resistance and chemical stability. Retention ratio of tensile properties of non woven polypropylene geotextiles were decreased about 50% by the exposed condition with ultraviolet but those of geotextile composites were slightly decreased than polypropylene geotextiles. Geotextile composites which have larger weights of polyester geotextile were more stable against ultraviolet. For chemical stability, the changes of tensile properties of geotextile composites were in the range of -20~＋10% at the various chemical conditions.

• 웰빙융합연구
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• 제5권3호
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• pp.27-41
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• 2022

Purpose: In this study, pollutants generated in industrial areas were measured using a Portable Air Quality Measurement System(PAQMS). This study intends to examine in detail improvement measures and operational capabilities to operate a more efficient PAQMS. Research design, data and methodology: This study compares and analyzes the measurement values of the PAQMS and the measurement values of the national air quality measurement network. It is intended to develop a PAQMS corresponding to the data of the national measurement network by minimizing the errors that occur during comparative measurement and analysis and supplementing and improving the problems that occur during the current equipment calibration. Results: A PAQMS is an essential equipment for faster and more accurate measurement and analysis of pollutants in case of untimely measurement and civil complaints due to Micro Climate(local weather and environmental influences). Currently, there are many atmospheric measurement equipment in Korea, but only equipment for each item is produced and sold. Currently, these devices on the market must satisfy various conditions such as stable power, temperature, and humidity to calculate accurate measurement values. Conclusions: Therefore, there is no equipment that satisfies the conditions for performing detailed measurement in the field where accurate measurement is required. In this study, these field work conditions and contents for stable measurement were mentioned in the text.

• 한국환경과학회지
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• 제12권9호
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• pp.987-996
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• 2003

In this study, we analyzed the relationship between the time-variation trend of air pollution concentration index and the meteorological conditions with CO(carbon monoxide) concentration and meteorological observation data in high-CO episode days. CO is a representative automobile air pollutant. The results are as follows; 1. Most of the high-CO episode days within 30 classes appeared in winter season. 2. Most of them appeared under the surface weather conditions with east-west high-pressure system. The surface winds in this high-pressure area were very light. 3. The high-CO episode days were due to unusual accumulation within urban atmosphere in the morning. 4. The Atmospheric stabilities were more stable, and then the wind-ventilation conditions were worse than yearly mean atmospheric condition in Daegu.