• 한국환경복원기술학회지
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• 제20권1호
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• pp.77-96
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• 2017

This study was carried out to clarify the climatic factors of the freezing injury for the judgement on the adaptation areas of evergreen broad-leaved trees. We surveyed and analyzed the climatic factors of the freezing injury to Machilus thunbergii Siebold & Zucc. on the streets with the analyzation of planting grounds, soil conditions and the surrounding buildings. This study showed that only the minimum air temperature factor out of the other climate elements, which were the annual precipitation; the average annual temperature; the average monthly temperature of january; the average monthly minimum temperature of January; the average temperature of the coldest month; the warmth index and the coldness index, was matched up with the previous theories and reports on the freezing damages on the evergreen broad leaved trees and Machilus thunbergii Siebold & Zucc. The freezing injury of Machilus thunbergii Siebold & Zucc was occurred when the mean minimum temperature of the coldest month(TMC) in winter season fell down below $-4.1^{\circ}C$ and the temperature fell down below $-9.2^{\circ}C$. The freezing damage on Machilus thunbergii Siebold & Zucc surrounded by high buildings were less than those surrounded by low buildings or at non buildings.

• Asian-Australasian Journal of Animal Sciences
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• 제28권3호
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• pp.442-450
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• 2015

Climate temperature affects animal production. This study was conducted to evaluate whether climatic conditions affect beef carcass characteristics of Korean cattle steers. The monthly carcass characteristics of Korean cattle steers (n = 2,182,415) for 8 yr (2006 through 2013) were collected from the Korean Institute for Animal Products Quality Evaluation. Daily climate temperature (CT) and relative humidity (RH) data were collected from the Korean Meteorological Administration. Weather conditions in South Korea during summer were hot and humid, with a maximum temperature of $28.4^{\circ}C$ and a maximum RH of 91.4%. The temperature-humidity index (THI), calculated based on CT and RH, ranges from 73 to 80 during summer. Winter in South Korea was cold, with a minimum temperature of $-4.0^{\circ}C$ and a wind-chill temperature of $-6.2^{\circ}C$. Both marbling score (MS) and quality grade (QG) of Korean cattle steer carcasses were generally best (p<0.05) in autumn and worst in spring. A correlation analysis showed that MS and QG frequencies were not associated (p>0.05) with CT. Yield grade (YG) of Korean cattle steer carcasses was lowest (p<0.05) in winter (November to January) and highest in spring and summer (May to September). A correlation analysis revealed that YG frequency was strongly correlated ($r{\geq}0.71$; p<0.01) with CT and THI values. The rib eye area, a positive YG parameter, was not associated with CT. Backfat thickness (BT), a negative YG factor, was highest in winter (November and December). The BT was strongly negatively correlated ($r{\leq}-0.74$; p<0.01) with CTs. Therefore, the poor YG during winter is likely due in part to the high BT. In conclusion, YG in Korean cattle steer carcasses was worst in winter. QGs were not associated with winter or summer climatic conditions.

• 한국연초학회지
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• 제28권1호
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• pp.9-16
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• 2006

To get the informations of burley leaf, the chemical constituents, quality indices, leaf color and the effects of climatic factors on the physicochemical properties of leaf produced from 2000 to 2004 crop years at 6 growing areas were analysed. The average leaf chemical contents for 5 years were as follows ; nicotine 2.87%, total nitrogen 4.55%, and chlorine 0.57%. The nicotine content was low while total nitrogen was slightly high as compared with recommended contents(nicotine ; $3.0{\sim}3.5%$, total nitrogen; $4.0{\sim}4.5%$). The variations of physicochemical properties among crop years were high while those of growing areas were relatively low. The nicotine contents of upper leaves were positively correlated to the sunshine hours in June and negatively correlated to the rainfalls in June and July according to crop years. However the total nitrogen content of upper leaves were positively correlated to the rainfalls in July according to growing areas. The tan-tended colored leaves were produced under the high air temperature, drought and long sunshine weather condition while the buff-tended colored leaves were produced under the contra교 condition according to crop years. It is considered that the increasing of nicotine content of Lugs may be available to decrease the nitrogen number(nitrogen/nicotine ratio) of leaf tobacco.

• 한국연초학회지
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• 제28권1호
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• pp.1-8
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• 2006

To get the information of flue-cured leaf, the chemical constituents, quality indices, leaf color and the effects of climatic factors on the physicochemical properties of leaf produced from 2000 to 2004 crop years at 6 growing areas were analysed. The average leaf chemical contents for 5 years were as follows ; nicotine 2.22%, total sugar 28.0%, total nitrogen 1.89%, ether extracts 6.37% and chlorine 0.38%. The nicotine and total nitrogen contents were low while the total sugar were high as compared with KT&G recommended contents(nicotine ; $2.5{\sim}3.0%$, total nitrogen; $2.0{\sim}2.5%$, total sugar ; below 25.0%). The variations of physicochemical properties among crop years were high while those of growing areas relatively low. The nicotine content of leaf was negatively correlated to the rainfalls in June and July sugar content was negatively correlated to the average air temperature in June and July according to crop years. The orange colored leaves were produced under the drought and long sunshine weather condition while the lemon colored leaves were produced under the contrary condition according to crop years. Blending the different crop year's leaves in the proper way may be beneficial to produce of uniform and consistent cigarettes. It is considered that the increasing of nitrogen fertilizer or improving of nitrogen uptake may be available to increase the nicotine and nitrogen and decrease the total sugar contents of flue-cured leaf tobacco.

• 한국조경학회지
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• 제40권1호
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• pp.1-11
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• 2012

이 연구는 인간 에너지 균형 모델에서 출발한 인간 열환경 지수 분석 방법을 이용하여 캐나다 BC주에 있는 나나이모시 상업지구안 좁은 길과 경상남도 창원시 중심상업지구에 있는 소공원을 연구 대상지로 2009년 여름철 열환경을 분석한 것이다. 기후 입력 자료는 기온, 상대습도, 풍속, 태양 및 지구 복사에너지이었으며, 그 결과 인간 열환경 지수에 가장 크게 영향을 미치는 요소들은 태양 직사광선, 건물시계지수 그리고 풍속이었다. 음지는 약간 더운 정도의 열환경을 조성하는 것으로 나타나 매우 덥게 나타난 양지에 비해 훨씬 좋은 열환경을 조성하는 것으로 나타났다. 나나이모 연구 대상지에 있는 좁은 길들은 주변의 넓은 장소들에 비해 주변 건축물에서 나오는 태양 반사광선과 지구 복사에너지들이 더 많이 영향을 미쳐 훨씬 덥게 나타났다. 낮은 풍속에 의해서 인체에서 방출되는 현열과 잠열의 양이 현저히 줄어듦으로서 더 더운 열환경이 조성되는 것으로 나타났다. 기후요소를 조경에 접목하기 위해서, 인간 열환경 지수 분석 방법을 이용하는 것은 열환경적으로 쾌적한 옥외 공간조성에 영향을 미칠 것이며, 도시 열섬 완화와 기후변화 연구에도 잘 이용될 수 있을 것이다.

• 조명전기설비학회논문지
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• 제22권6호
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• pp.89-99
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• 2008

본 논문은 태양광 발전 추적 시스템의 발전량을 증가시키기 위해 일사량 급변에 대한 추적 장치 기동 시 전력소모를 고려한 새로운 추적 알고리즘을 제시한다. 종래의 태양광 발전에 사용되는 센서방식의 추적시스템은 구름 및 안개 등 급변하는 기후환경에 의해 추적 장치의 오동작의 문제점으로 태양의 정확한 추적이 불가능하다. 또한 프로그램 방식의 경우에는 기후 환경의 외부 요인에 대응하지 못함으로서 추적 장치의 불필요한 동작으로 인한 에너지소비가 발생된다. 이러한 이유로 태양 추적 장치가 실시간으로 태양의 방위각 및 고도 각을 추정하는 경우에도 실제 태양광 발전량은 특정한 위치에 고정되어 있는 경우보다 발전량이 증가하지 못한다. 본 논문에서는 이러한 전력소모를 줄이기 위한 추적시스템의 새로운 제어 알고리즘을 제시한다. 또한 종래의 태양광 추적 방식과 제시한 방법의 효율을 분석하고, 실증연구를 통하여 제시한 알고리즘의 타당성을 입증한다.

• Parasites, Hosts and Diseases
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• 제53권2호
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• pp.163-167
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• 2015

This study aimed to determine the seroprevalence and to identify risk factors associated with Neospora spp. infection in horses in Jordan. Management related data were collected from each farm and individual horses. Sera from 227 horses from 5 of 6 climatic regions in Jordan were analyzed for the presence of antibodies to Neospora spp. by ELISA kit. The study was performed during spring of 2010. The association between seropositivity and risk factors was analyzed. A total of 7 (3%) of 227 sera had antibodies for Neospora spp. There was a significant regional difference (P=0.018) between the 5 climatic regions. Positive cases were located in Amman and Irbid, while the other regions (Zarqa, Jordan Valley, and Wadi Mousa) had zero prevalence. The use of anthelmintics at least once a year resulted in a significant reduction of the seroprevalence to Neospora spp. (1.6% vs 9.8%). However, this might be a phenomenon by chance and a better hygiene since owners can invest in anthelmintics. Other risk factors such as age, gender, breed, usage, body condition score, grazing, presence of other animals mixed with the horses in the same property, and a history of previous diseases were not significantly associated with the seroprevalence to Neospora spp. infection. This is the first study to report on the presence of Neospora seropositive horses in Jordan. Further studies are warranted to better understand the role of certain risk factors in the transmission of Neospora spp. among horse population and to determine which Neospora spp. are responsible for the infection.

• 한국농공학회논문집
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• 제61권4호
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• pp.75-86
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• 2019

Recently, natural disasters due to abnormal climates are frequently outbreaking, and there is rapid increase of damage to aged agricultural infrastructure. As agricultural infrastructure facilities are in contact with water throughout the year and the number of them is significant, it is important to build a maintenance management system. Especially, the current maintenance management system of pumping and drainage stations among the agricultural facilities has the limit of lack of objectivity and management personnel. The purpose of this study is to develop a performance evaluation model using the factors related to performance degradation of pumping and drainage facilities and to predict the performance of the facilities in response to climate change. In this study, we focused on the pumping and drainage stations belonging to each climatic zone separated by the Korea geographical climatic classification system. The performance evaluation model was developed using three different statistical models of POLS, RE, and LASSO. As the result of analysis of statistical models, LASSO was selected for the performance evaluation model as it solved the multicollinearity problem between variables, and showed the smallest MSE. To predict the performance degradation due to climate change, the climate change response variables were classified into three categories: climate exposure, sensitivity, and adaptive capacity. The performance degradation prediction was performed at each facility using the developed performance evaluation model and the climate change response variables.

• International Journal of Computer Science & Network Security
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• 제22권6호
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• pp.131-138
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• 2022

Novel Coronavirus (COVID-19) is viewed as one of the main general wellbeing theaters on the worldwide level all over the planet. Because of the abrupt idea of the flare-up and the irresistible force of the infection, it causes individuals tension, melancholy, and other pressure responses. The avoidance and control of the novel Covid pneumonia have moved into an imperative stage. It is fundamental to early foresee and figure of infection episode during this troublesome opportunity to control of its grimness and mortality. The entire world is investing unimaginable amounts of energy to fight against the spread of this lethal infection. In this paper, we utilized machine learning and deep learning techniques for analyzing what is going on utilizing countries shared information and for detecting the climate factors that effect on spreading Covid-19, such as humidity, sunny hours, temperature and wind speed for understanding its regular dramatic way of behaving alongside the forecast of future reachability of the COVID-2019 around the world. We utilized data collected and produced by Kaggle and the Johns Hopkins Center for Systems Science. The dataset has 25 attributes and 9566 objects. Our Experiment consists of two phases. In phase one, we preprocessed dataset for DL model and features were decreased to four features humidity, sunny hours, temperature and wind speed by utilized the Pearson Correlation Coefficient technique (correlation attributes feature selection). In phase two, we utilized the traditional famous six machine learning techniques for numerical datasets, and Dense Net deep learning model to predict and detect the climatic factor that aide to disease outbreak. We validated the model by using confusion matrix (CM) and measured the performance by four different metrics: accuracy, f-measure, recall, and precision.

• 대한토목학회논문집
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• 제26권3B호
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• pp.233-240
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• 2006

직접유출을 산정하기 위한 SCS Curve Number 방법에서 CN의 값에 영향을 주는 요소 중의 하나는 선행토양함수조건(AMC)이며, 실무에서도 가장 큰 유출량을 산정토록 하는 AMC-III 조건을 주로 사용하고 있다. 본 연구에서는 1961년부터 2002년까지 42년간의 서울 기상청관측소의 우기시(6월~9월) 일강우자료를 이용하여 AMC의 강우량 대비 발생분포를 분석하였다. 그리고 기후변화에 따른 AMC의 변동특성을 분석하기 위하여 대기대순환모형(GCM)의 예측치에 따른 강우량 대비 AMC의 확률질량함수를 분석하였다. 연구 결과, 본 연구에서 사용한 기후변화시나리오에 의하면 AMC-I의 발생비율은 감소하였고, AMC-III의 발생비율은 증가하는 것으로 파악되었다. 반면에 AMC-II는 커다란 변화를 보이지 않는 것으로 파악되었다.