• 한국기후변화학회지
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• 제7권2호
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• pp.193-203
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• 2016

The importance of forecasting agricultural production is receiving attention while climate change is accelerating. This study suggested three types of crop yield forecasting model for major vegetable crops by using downscaled meteorological information of main production area on farmland level, which identified as limitation from previous studies. First, this study conducted correlation analysis with seven types of farm level downscaled meteorological informations and reported crop yield of main production area. After, we selected three types of meteorological factors which showed the highest relation with each crop species and regions. Parameters were deducted from meterological factor with high correlation but crop species number was neglected. After, crop yield of each crops was estimated by using the three suggested types of models. Chinese cabbage showed high accuracy in overall, while the accuracy of daikon and onion was quiet revised by neglecting the outlier. Chili and garlic showed differences by region, but Kyungbuk chili and Chungnam, Kyungsang garlic appeared significant accuracy. We also selected key meteorological factor of each crops which has the highest relation with crop yield. If the factor had significant relation with the quantity, it explains better about the variations of key meteorological factor. This study will contribute to establishing the methodology of future studies by estimating the crop yield of different species by using farmland meterological information and relatively simplify multiple linear regression models.

• 한국수자원학회논문집
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• 제39권10호
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• pp.845-854
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• 2006

융설 모형을 이용하여 융설 기간 동안의 하천유출량을 모의하기 위해서는 융설 관련 매개변수의 정립이 반드시 필요하다. 우리나라의 경우 관측 자료의 부족으로 인하여 적설분포면적, 적설심, 적설분포면적 감소곡선과 같은 융설 관련 매개변수의 추출이 불가능하였다. 본 연구에서는 1997년부터 2003년까지의 겨울철(11월-4월) NOAA/AVHRR 위성영상을 이용하여 한반도의 적설분포도를 추출하고 기상청의 69개소 유인지상기상관측소의 기상자료 중 최심적설심 자료로서 공간내삽법을 통하여 동일한 기간의 최심적설심 분포도를 작성한 후 적설분포도와 중첩하여 남한의 적설심 분포도를 추출하였다. 또한, 적설분포면적 감소곡선은 소양강댐과 충주댐 유역을 대상으로 평균기온과 적설분포면적과의 상관관계로부터 각 연도별 선형회귀식을 추출하여 적설분포면적 감소곡선을 작성하였다.

• Journal of Trauma and Injury
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• 제34권4호
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• pp.263-269
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• 2021

Purpose: There have been increasing concerns about serious traffic accidents on highways. The purpose of this study was to analyze factors affecting traffic accidents on highways and the severity of the resulting injuries. Methods: This retrospective study was conducted at a regional trauma center. We reviewed 594 patients who had been in 114 traffic accidents on highways from January 2018 to June 2020. We collected demographic data, clinical data, accident-related factors, and meteorological data (weather and temperature). Results: Environmental risk factors were found to be significantly associated with the incidence of traffic accidents on highways. Injury severity and the death rate were higher in sedans than in any other type of vehicle. Tunnels were the most common location of accidents, accounting for 47 accidents (41.2%) and 269 injured patients (45.3%). The injury severity of individuals riding in the driver's seat (front seat) was high, regardless of vehicle type. Three meteorological risk factors were found to be significantly associated with traffic accidents: rainy roads (odds ratio [OR] 2.08; 95% confidence interval [CI] 1.84-3.29; p=0.01), icy or snowy roads (OR 5.12; 95% CI 2.88-7.33; p<0.01), and foggy conditions (OR 2.94; 95% CI 2.15-4.03; p<0.05). Conclusions: The injury severity of patients was affected by seat position and type of vehicle, and the frequency of accident was affected by the location. The incidence of traffic accidents was strongly influenced by meteorological conditions (rain, snow/ice, and fog).

• 한국항공운항학회지
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• 제26권3호
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• pp.1-8
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• 2018

Aviation industry is growing rapidly, and this growth is expected to continue. However, aircraft accident rate is still high, and 65 percent of accidents occur during landing phase due to unstable approach. Therefore, this research analyzed causes and countermeasures of unstable approach. In order to derive countermeasures, this study selected P International Airport as an example case. In addition, this research analyzed A airline's FOQA data, regional Standard Operating Procedures, and 5 years of environmental factors to identified correlation of those contributing factors. In conclusion, his research concluded following results. First of all, because of P International Airport's geological features, pilots are required to conduct Circling Approach, and this advanced maneuver increases workload at the final stage of flight. Secondarily, meteorological factors such as crosswind, seasonal rain front, local visibility contributes unstable approach. Lastly, these geological and meteorological factors are interrelated, and this uncommon environment can decrease circumstantial judgement ability of pilots and jeopardize aviation safety. As a consequence, it is recommended to reinforce the Crew Resource Management and Threat & Error Management systems so that pilots can perceive identical safety target.

• 한국컴퓨터정보학회논문지
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• 제27권8호
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• pp.219-224
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• 2022

한국 기상청은 '생활산업 기상정보서비스'나 '위기탈출 안전날씨'와 같은 일상에 관련된 정보를 제공하고 있다. 한편, 해외에서는 독일의 '신체기상정보', 영국의 '건강 기상정보'와 같이 인간의 신체와 감성에 영향을 미치는 기상정보 역시 제공하고 있다. 비록 인간의 감성 변화가 심리학 연구 영역에서 다양하고 방대하게 이루어져 왔지만, 빅 데이터 분석 기반에 근거한 기상정보에 따른 인간의 감성 예측모형은 요원한 상태이다. 이 연구에서는 기상요소에 따른 인간의 감성변화를 예측할 수 있는 모형을 기상청의 기상 데이터셋과 SNS상 크롤링된 일자별 텍스트를 통해 개발하고 검증하고자 한다. 연구 결과 기상 요소들로 인간의 감성변화를 예측할 수 있는 모형을 만들고 검증할 수 있었으며 이는 기존 연구와 그 결을 같이한다고 볼 수 있다.

• 생명과학회지
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• 제34권4호
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• pp.264-270
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• 2024

본 연구는 평택시 죽백동 일원에 서식하는 맹꽁이를 2019년에 대체서식지로 이주시킨 후 2020-2022년까지 사후모니터링을 통해 대체서식지가 갖춰야 할 최소 조건과 맹꽁이 모니터링의 효율성 제고를 목적으로 진행되었다. 대체서식지의 서식 환경을 분석한 결과 습지, 초지, 하천과의 거리는 5 m 이내, 저층 초지 공간은 6,000 m² 이상, 깊이 20 cm 이상의 부드러운 토질, 임시 습지의 면적은 5,000 m² 이상으로 서식지 적합성 기준에 부합하였으며, 모니터링 과정에서 이주된 개체군의 체장길이 및 몸무게가 유지되는 것을 확인하여(p>0.05) 서식지와 산란지의 근접성, 먹이공간(초지공간) 확보, 토질, 습지의 조건이 갖춰진다면 대체서식지의 기능을 수행할 수 있는 것으로 나타났다. 맹꽁이 개체군에 영향을 주는 기상요인을 분석한 결과, 체장길이는 최저기온, 최고기온, 상대습도, 강수량과 통계적으로 유의미 하였다(p<0.05). 개체수 및 번식의 경우 강수량과 번식에서 유의미한 정(正)의 상관관계가 나타났으며(p<0.01), 개체수는 평균기온, 최저기온, 상대습도에 영향을 받는 것으로 나타났다(p<0.05).

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 하계학술대회 논문집 C
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• pp.1832-1834
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• 2004

The degree of contamination on outdoor insulator is one of the most importance factors to determine the pollution level of outdoor insulations, and the sea salt is known as the most dangerous pollutant. As shown through the preceding study, the generation of salt pollutant and the pollution degree of outdoor insulator have a close relation with meteorological conditions, such as wind velocity, rainfall, and so on. So, in this paper, we have made database using the past meteorological data and ESDD(equivalent salt deposit density) and then we predicted the pollution degree in the future after analyzing currently meteorological data of database.

• Advances in environmental research
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• 제3권1호
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• pp.87-106
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• 2014

The concern for the global environment ensues researchers from various disciplines to work in collaboration to tackle with the issues of sustainability and environmental conservation for well-being of the people. In this study, we have selected and focused on few basic environment-effecting factors such as temperature, humidity, carbon dioxide and oxygen concentration level and referred them as meteorological data. In this paper, we present the development of our own customized hardware setup, environmental monitoring device (EMD) to obtain the data. Utilizing the relationship among these basic parameters, represented in the form of formulas and equations, we tried to encode them using Matlab programming. Data visualization is achieved by plotting the graphs of basic parameters obtained from EMD as well for the derivatives using Matlab programs.

• Journal of the Korean Data and Information Science Society
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• 제14권4호
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• pp.773-787
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• 2003

Principal component analysis, factor analysis and cluster analysis have been performed to analyze the relationship between air pollutants and meteorological variables measured in 1999 in Seoul. In principal analysis, the first principal has been shown the contrast effect between $O_3$ and the other pollutants, the second principal has been shown the contrast effect between CO, $SO_2$, $NO_2$ and $O_3$, PM10, TSP. In factor analysis, the first factor has been found as PM10, TSP, $NO_2$ concentrations which are related with suspended particulates. As a result of cluster analysis, three clusters respectively have represented different air pollution levels, seasonal characteristics of air pollutants and meteorological situations.

• 한국농공학회지
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• 제41권6호
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• pp.44-53
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• 1999

The statistical characteristics of the factors related to the daily rainfall prediction model are analyzed . Records of daily precipitation, mean air temperature, relative humidity , dew-point temperature and air pressure from 1973∼1998 at 8 meteorological sttions in south-western part of Korea were used. 1. Serial correlatino of daily precipitaiton was significant with the lag less than 1 day. But , that of other variables were large enough until 10 day lag. 2. Crosscorrelation of air temperature, relative humidity , dew-point temperature showed similar distribution wiht the basin contrours and the others were different. 3. There were significant correlation between the meteorological variables and precipitation preceded more than 2 days. 4. Daily preciption of each station were treated as a truncated continuous random variable and the annual periodic components, mean and standard deviation were estimated for each day. 5. All of the results could be considered to select the input variables of regression model or neural network model for the prediction of daily precipitation and to construct the stochastic model of daily precipitation.