• 수산해양교육연구
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• 제23권3호
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• pp.351-360
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• 2011

In order to reduce the casualties of fishing boats, the author analyzed the fishing boat accident on the 412 cases in Korean maritime safety tribunal for the 2005~2009, and then studied the relation between the weather element and the accidents. According to this studies, the occurring ratio of sea casualty for fishing boat in fog weather was appeared 1 boat per 1.6 days. It means that the restricted visibility condition gives the most influence on the fishing boat accident. The casualties in winter season from November to next January occurred 139(33.7%), and small boats less than 50tons broke out more casualties with 68.4%. From this we can find that small fishing boats are very deeply affected on the sea weather condition. According to the boat types for fishing the casualty of jig boat was ranked first, and collision accident account for first with 77.9% for the types of casualties. As mentioned above, most sea casualties for small fishing boats were resulted from the human factors such as poor watch keeping in invisibility and the bad sea condition, it is necessary for navigation operators and the manager to take more attention to the meteorological factors.

• 한국건설관리학회논문집
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• 제5권6호
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• pp.80-89
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• 2004

건설생산성에 영향을 미치는 많은 요소 중에서, 외부공사가 많은 건축공사는 기후의 영향을 많이 받는다. 지난 30년에 걸쳐 기후요소와 건설생산성간의 관계에 대한 많은 연구가 진행되어 왔지만, 대한민국의 지리적 특징을 잘 반영하는 연구는 미비하였다. 본 논문에서는 같은 유형의 공동주택 4개동($16\~18$층)의 데이터를 이용하여 골조공사의 건설생산성과 5가지 기후요소(온도, 습도, 낮 길이, 강수, 풍속)와의 관계를 단순회귀분석과 다중회귀분석을 통해 규명하였다. 단순회귀분석 결과, 기후요소 중 온도, 낮 길이가 건설생산성에 가장 큰 영향을 미치는 것으로 나타났고, 다중회귀분석으로부터는 기후요소에 의해 생산성을 예측할 수 있는 회귀식을 도출하였으며, 이러한 분석결과에 대한 검증과 활용 방안을 제시하였다. 본 연구의 결과는 공사관리의 기획단계 혹은 공정관리의 기초 자료로 사용될 수 있을 것으로 기대된다.

• 한국농림기상학회지
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• 제16권4호
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• pp.274-284
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• 2014

농업은 기후 및 환경의 영향을 많이 받는 산업으로 기온, 강수량, 일조시간 등에 따라 재배 가능한 작물 과 품종이 결정된다. 본 연구의 목적은 사과의 생육과정에서 일별로 측정되는 기상변수를 활용하여 기상변수가 사과단수에 미치는 영향을 파악하는 것에 있다. 기상변수는 1) 생육단계를 고려한 자연과학적 접근방법과 2) 통계적 접근방법을 이용한다. 패널분석을 통해 추정된 각각의 결과를 모형적합도와 예측력 비교를 통해 평가한다. 사과단수와 기상변수의 자료는 2006년부터 2013년까지 우리나라 사과주산지 15개지역을 대상으로 수집되었다. 분석 결과, 통계적 접근방법 중요인분석을 이용한 변수 선정 방법이 가장 높은 예측력과 적합도를 보였다. 이는 기상변수와 같이 서로 유사하지만 다양한 설명변수의 사용으로 발생할 수 있는 다중공선성과 낮은 자유도의 문제를 효과적으로 통제하게 될 경우, 보다 많은 기상요인을 회귀분석에 포함하는 것이 적합도와 예측력을 높이는데 기여한 것으로 추정된다. 또한 사과재배에 있어 발아, 개화, 착과, 비대, 성숙, 그리고 착색 및 수확에 이르기까지의 전 생육과정의 기상요인이 단수에 영향력이 있음을 의미한다.

• 식물병연구
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• 제8권4호
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• pp.199-206
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• 2002

벼 도열병 발병 모의 실황 포장을 발병 상습지(안동대 실험포장; 산간 협곡 위치한 천수답)에 설정하여 벼 식물생육군락(일품벼 공시)의 실황 기상자료를 무인기상관측 장치를 통해 수집, 가공하여 도열병 발병에 미치는 기상요인의 가변값을 추정, 분석하였다. 기상요소 측정은 시험포장에 무인기상관측장치를 설치하여 매시단위로 기온, 상대습도, 일사량, 강우량, 풍향, 풍속, 지온, 잎습전지속 시간 등을 측정하였다. 각 기상요인중 도열병 발병에 가장 많은 영향을 미친 것은 발병 전 10일간 평균최고기온으로 결정계수 0.95＊을 나타냈으며, 도열병 발병에 영향을 가장 미치지 않은 요인은 풍속으로 결정계수 0.24$^{ns}$ 로 나타났다. 도열병 발병과 병 진전에 가장 높은 유의성을 보인 기상요인은 평균온도(T-ave), 최고온도(T-max), 상대습도(RH), 상대습도 90%이상인 누적시간(RD) 등이었으며, 이들을 이용한 통계적 모형은 아래와 같다. Y = -3410.91 - 23.91 $\times$ T-ave ＋ 28.56 $\times$ T-max ＋ 41.0 $\times$ RH - 3.75 $\times$ RD, ($R^2$= 0.99＊), (T-ave >= 19$^{\circ}C$ and T-max - T-ave >= 5.2$^{\circ}C$ and RH% >= 90.4%. 발병모형과 발병심각도의 적합도 검정($\chi$$^2$)은 유의도 0.001로 발병모형이 실제 발병 심각도와 유사함을 나타내었다.

• 한국기후변화학회지
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• 제4권4호
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• pp.317-330
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• 2013

홍수와 가뭄, 고온 등 이상기상의 영향으로 쌀 단수가 감소할 수 있다. 본 연구의 목적은 등숙기 이상기상이 쌀 단수에 미치는 영향을 파악하는 것이며, 이를 위하여 횡단면 자료와 시계열 자료를 모두 이용할 수 있는 패널모형을 이용하였다. 본 연구에서는 기상요소의 평균값을 기준으로 ${\pm}2{\sigma}$의 범위를 벗어날 때를 이상기상으로 정의하였다. 분석결과를 보면, 이상고온이 발생하였을 때 쌀 단수가 5.8~16.3% 감소, 이상고온과 폭우가 동시에 발생하였을 때 8.8~20.8% 감소하는 것으로 나타났다. 이상기상으로 인한 쌀 생산량 감소를 최소화하고, 농가의 소득안정을 위하여 고온과 폭우에 강한 신품종 개발, 농업용 수리시설의 현대화, 농작물보험 채택 등의 적응전략이 필요하다.

• Journal of Electrical Engineering and Technology
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• 제12권2호
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• pp.969-980
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• 2017

Galloping is one of the most serious vibration problems in transmission lines. Power lines can be extensively damaged owing to aerodynamic instabilities caused by ice accretion. In this study, the accident probability induced by galloping phenomenon was analyzed using logistic regression analysis. As former studies have generally concluded, main factors considered were local weather factors and physical factors of power delivery systems. Since the number of transmission towers outnumbers the number of weather observatories, interpolation of weather factors, Kriging to be more specific, has been conducted in prior to forming galloping accident estimation model. Physical factors have been provided by Korea Electric Power Corporation, however because of the large number of explanatory variables, variable selection has been conducted, leaving total 11 variables. Before forming estimation model, with 84 provided galloping cases, 840 non-galloped cases were chosen out of 13 billion cases. Prediction model for accidents by galloping has been formed with logistic regression model and validated with 4-fold validation method, corresponding AUC value of ROC curve has been used to assess the discrimination level of estimation models. As the result, logistic regression analysis effectively discriminated the power lines that experienced galloping accidents from those that did not.

• 한국경영과학회지
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• 제38권1호
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• pp.153-181
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• 2013

Weather is an influential factor to sales of companies. There have been growing attempts with which companies apply weather to developing their strategic marketing plans. By executing weather marketing activities, companies minimize risks (or negative impacts) of weather to their business and increase sales revenues. In spite of managerial importance of weather management, there are scarce empirical studies that comprehensively investigate its impact and present an efficient method that optimally allocates marketing budget. Our research was conducted in two parts. In the first part, we investigated influences of weather on sales based on real-world daily sales data. We specifically focused on the contextual factors that were less focused in the weather related research. In the second part, we propose an optimization model that can be utilized to efficiently allocate weather marketing budget across various regions (or branches) and show how it can be applied to real industry cases. The results of our study are as follow. Study 1 investigated the impact of weather on sales using store sales data of a family restaurant company and an outdoor fashion company. Results represented that the impacts of weather are context-dependent. The impact of weather on store sales varies across their regional and location characteristics when it rains. Based on the results derived from Study 1, Study 2 proposes a method on how optimally companies allocate their weather marketing budgets across each region.

• International Journal of Concrete Structures and Materials
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• 제7권2호
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• pp.165-174
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• 2013

Portland cement concrete exposed to high temperatures during mixing, transporting, casting, finishing, and curing can develop undesirable characteristics. Applicable requirements for such the hot weather concrete differ from country to country and government agencies. The current study is an attempt at evaluating the hardened properties of the concrete exposed to hot weather in fresh state. First of all, this study reviews the current state of understanding and practice for hot weather concrete placement in US and then roadway sites with suspected hot weather concrete problems were investigated. Core samples were obtained from the field locations and were analyzed by standard resonance frequency analysis and the boil test. Based on the results, there does not appear to be systematic evidence of frequent cracking problems related to high temperature placement. Thus, the suspicious deteriorations which are referable to hot weather concreting would be due to other factors.

• 농촌계획
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• 제24권3호
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• pp.25-31
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• 2018

This study analyzed factors influencing cultivation area of two major apple cultivars, Fuji and Hongro, applying the panel SUR model to survey data from farms. Characteristics of farms, distribution factors, and weather factors were the independent variables of the model. The analysis indicated that characteristics of farms, distribution factors, and weather factors influence the cultivation area of Hongro and Fuji. The independent variables were also found to have different levels of influence on increase and decrease of the cultivated area. Helping predict changes in cultivation area of Hongro and Fuji, the research results can be used as primary data to support efforts to prevent price fluctuations due to changes in supply.

• Preventive Nutrition and Food Science
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• 제7권1호
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• pp.88-94
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• 2002

The purpose of this study was to identify factors influencing the consumption of calcium-rich foods among adolescents. A total of 96 adolescents divided into twelve focus groups were investigated during April to May 2000 in Busan. Focus group discussions were audio-taped, transcribed and analyzed using a grounded theory approach. Key factors influencing the consumption of calcium-rich foods were taste, food type, body image, and family. Motivators among the factors were taste, flood type, body image, health, family and perception, and barriers were taste, flood type, location, friends, price, weather and lactose intolerance. Taste, flood type, location and weather were found to be both motivators and barriers of consumption of calcium-rich floods according to circumstances. Some of these factors varied in importance by gender and age. Younger adolescents were more strongly influenced by taste and family than older ones. Older adolescents were strongly influenced by body image, convenience and perception. These findings could be used as a guideline for adolescents to consume calcium-rich foods.