• 한국농림기상학회지
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• 제13권2호
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• pp.101-108
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• 2011

기후변화는 자연 및 농업생태계에 막대한 영향을 미칠 수 있다. 이러한 기후변화 영향 평가를 위해 모형의 입력자료로서 예측된 기후자료가 사용되고 있다. 그러나 이러한 연구들은 자주 수행되지는 않기 때문에, 실제의 컴퓨터 자원들을 구축하거나 유지하지 않고 필요에 따라 자료처리를 하기 위해서는 가상적으로 다수의 운영체제를 구동할 수 있는 클라우드 컴퓨팅을 사용하는 것이 유용하다. 또한, 클라우드 컴퓨팅을 사용할 때 소프트웨어 라이센스를 필요로 하지 않는 오픈소스 지리분석용 소프트웨어를 사용하는 것이 유리하다. 예비실험에서, Amazon Web Service-Elastic Compute Cloud(EC2)를 사용하여 월 강우일수를 계산하였다. 총 70기가바이트에 이르는 일별 기후 예측 자료를 사용하여 자체 제작된 데이타베이스 처리 응용프로그램을 가상머신에서 처리하였다. 이 응용프로그램은 기후자료 처리와 데이타베이스 접속을 위해 오픈소스 라이브러리를 기반으로하여 제작되었다. 이 분석에서는 21세기 동안 전지구적으로 강우일수를 계산하기 위해 10대의 가상 클라이언트와 1대의 서버를 이용하여 약 170억개의 자료를 32시간 내에 처리하였다. 이번 연구 결과는 클라우드 컴퓨팅이 막대한 양의 자료 처리를 필요로하는 기후변화 영향평가 연구와 분석에 큰 도움이 될 수 있음을 보여 준다.

• KIEAE Journal
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• 제14권6호
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• pp.81-86
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• 2014

In recent years, many researchers have considered the building energy consumption reduction accordingly to deal with abnormal climate changes and greenhouse gas reduction. However, the lighting energy use ratio has increased in spite of the development of the high efficiency lighting device. Therefore, the study aims to produce the LED lighting applications for the effective lighting heat removal by using the heat characteristics of LED lighting and analyzing the heat removal effect. In order to increase radiant heat efficiency, the heat pipe and heat sink was attached on PCB as LED lighting applications. Experiment was conducted to verify the temperature and air velocity of inside duct: thermocouples, anemometer. The heat removal effect of LED lighting applications was measured by observing the temperature of the lighting applications and the change of air velocity in duct. The experiment shows that the temperature change in the duct according to air velocity was $0.9{\sim}5.8^{\circ}C$. It is also concluded that heat removal was calculated from 33 to 81W.

• 한국환경농학회지
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• 제33권4호
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• pp.254-261
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• 2014

홍고추 생산을 위해 논 시설재배지의 토양화학성을 개선하고 생산성에 미치는 영향을 조사하기 위해 고추 정식 전에 규산질비료를 0, 100, 200, 300 kg/10a를 처리하였다. $N-P_2O_5-K_2O$는 토양검정에 의해 밑거름으로 질소 50%, 인산 100%, 칼리 60%을 시비한 후, 천하대세 품종을 $120{\times}45cm$ 간격으로 정식하고, 웃거름은 1, 2, 4차 수확 후 3회에 나누어 질소와 칼리를 시비하였다. 최종 5차 수확기에 조사한 토양 pH, 유효인산, 치환성 $Ca^{2+}$은 규산질비료 처리량에 따라 증가하였고, EC는 감소하였다. 유기물함량은 대조구보다 높았고, 치환성 $K^+$은 100과 200 kg/10a, $Mg^{2+}$는 300 kg/10a 처리구에서 높았다. 규산질비료가 정식 60일까지 지상부 생육에 미치는 영향은 적었다. 고추 1차 수확기 잎에 함유되어 있는 N과 P는 규산질비료 처리량과 반비례 관계였고, K. Ca, Mg은 300 kg/10a 처리구에서 가장 많았다. 홍고추 수량은 대조구에 비해 규산질비료 처리구에서 9.0~11.8% 증가하였고, 200 kg/10a 처리구에서 상품과율이 97.3%로 가장 높았고, 비상품과는 105 kg, FW/10a 수준으로 가장 낮았다. 규산질비료 시비량과 건고추수량의 관계식($Y=-0.0022X^2+0.827X+645.7$, $R^2=0.9838$)에 따른 최고수량은 723.4 kg/10a, 이때 규산질비료 시비량은 187.9 kg/10a 이었다. 이상의 결과에서 보는 바와 같이 답전윤환 시설재배지에 규산질비료를 밑거름으로 사용하면 토양화학성이 개선되고, 비상품과 수량이 감소하고 생산량이 증가하였다.

• Asian Pacific Journal of Cancer Prevention
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• 제16권8호
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• pp.3579-3586
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• 2015

Geographic information system (GIS) technology has useful applications for epidemiology, enabling the detection of spatial patterns of disease dispersion and locating geographic areas at increased risk. In this study, we applied GIS technology to characterize the spatial pattern of mortality due to liver cancer in the autonomous region of Guangxi Zhuang in southwest China. A database with liver cancer mortality data for 1971-1973, 1990-1992, and 2004-2005, including geographic locations and climate conditions, was constructed, and the appropriate associations were investigated. It was found that the regions with the highest mortality rates were central Guangxi with Guigang City at the center, and southwest Guangxi centered in Fusui County. Regions with the lowest mortality rates were eastern Guangxi with Pingnan County at the center, and northern Guangxi centered in Sanjiang and Rongshui counties. Regarding climate conditions, in the 1990s the mortality rate of liver cancer positively correlated with average temperature and average minimum temperature, and negatively correlated with average precipitation. In 2004 through 2005, mortality due to liver cancer positively correlated with the average minimum temperature. Regions of high mortality had lower average humidity and higher average barometric pressure than did regions of low mortality. Our results provide information to benefit development of a regional liver cancer prevention program in Guangxi, and provide important information and a reference for exploring causes of liver cancer.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2021년도 학술발표회
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• pp.137-137
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• 2021

In this study we aimed to enhance streamflow prediction skill of a land-surface hydrological model, WRF-Hydro, over one of the snow dominated catchments lies in Himalayan mountainous range, Astore. To assess the response of the Himalayan river flows to climate change is complex due to multiple contributors: precipitation, snow, and glacier melt. WRF-Hydro model with default glacier module lacks generating streamflow in summer period but recently developed WRF-Hydro-CROCUS model overcomes this issue by melting snow/ice from the glaciers. We showed that by implementing WRF-Hydro-CROCUS model over Astore the results were significantly improved in comparison to WRF-Hydro with default glacier module. To constraint the model with the observed streamflow we chose 17 sensitive parameters of WRF-Hydro, which include groundwater parameters, surface runoff parameters, channel parameters, soil parameters, vegetation parameters and snowmelt parameters. We used Dynamically Dimensioned Search (DDS) method to calibrate the daily streamflow with the Nash-Sutcliffe efficiency (NSE) being greater than 0.7 both in calibration (2009-2010) and validation (2011-2013) period. Based on the number of iterations per parameter, we found that the parameters related to channel and runoff process are most sensitive to streamflow. The attempts to address the responses of the streamflows to climate change are still very weak and vague especially northwest Himalayan Part of Pakistan and this study is one of a few successful applications of process-based land-surface hydrologic model over this mountainous region of UIB that can be utilized to have an in-depth understanding of hydrological responses of climate change.

• 한국농림기상학회지
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• 제11권4호
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• pp.221-232
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• 2009

본 연구는 겨울철 휴면심도와 동해유발온도를 기반으로 작성된 복숭아 나무 '장호원황도' 품종의 휴면지에 대한 동해위험지수 계산식을 고해상도 전자기후도와 결합하여 현재평년(1971-2000년)의 기후조건에서 동해위험의 지역적 분포를 파악하였다. 이를 기준으로 두고 기후변화 시나리오에 근거한 미래 3개 평년(2011-2040년, 2041-2070년, 2071-2100년)의 기온자료에 동일한 방법을 적용하여 얻은 동해위험지수와 비교함으로써 기후변화에 따른 이들 위험지역의 이동을 경관규모에서 추적하였다. 현재평년(1971-2000년) 기후조건에서는 전 국토의 4%가 안전지대, 88%가 동해 위험 경계지대, 8%가 위험지대로 탐색되었다. 시나리오 기후조건에서는 가까운 미래(2011-2040년)와 먼 미래(2041-2100년)에 모두 경계지대가 줄어드는 반면 안전지대와 위험지대가 다같이 증가하였다. 이 방법은 경기도 이천, 경북 청도 등 복숭아 주산지 내의 위험지대를 경관규모에서 탐색하는 데도 이용될 수 있음이 확인되었으므로 앞으로 농업분야 기후변화 영향평가 및 취약성 분석에 기여할 것으로 기대된다.

• 한국환경농학회지
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• 제39권4호
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• pp.297-304
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• 2020

BACKGROUND: Emission of nitrous oxide (N2O) from the soil is expected to depend on the types of nitrogen fertilizer used. Biochar has recently been proposed as a potential mitigation of climate change by reducing the N2O emission. Although laboratory studies reported that biochar applications could reduce N2O emission, the number of field-based studies is still limited. Therefore, a field experiment was conducted to investigate the effect of biochar on N2O emission when different nitrogen fertilizers were applied in corn cultivated field. METHODS AND RESULTS: The field experiment consisted of six treatments: urea fertilizer without biochar (U), ammonium sulfate fertilizer without biochar (A), oil cake fertilizer without biochar (O), urea fertilizer with biochar (U+B), ammonium sulfate fertilizer with biochar (A+B), and oil cake fertilizer with biochar (O+B). Biochar was applied at a rate of 10 t/ha. Greenhouse gas fluxes were measured during growing seasons using static vented chambers. The cumulative N2O emissions were 0.99 kg/ha in the U, 1.23 kg/ha in the A, 3.25 kg/ha in the O, 1.19 kg/ha in the U+B, 0.86 kg/ha in the A+B, and 1.55 kg/ha in the O+B. CONCLUSION: It was found that N2O emission was related to application of both nitrogen fertilizer type and biochar. In particular, the N2O reduction effect was the highest in the corn field incorporated with biochar when oil cake was applied to the soil.

• 기술사
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• 제42권4호
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• pp.30-33
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• 2009

Great concerns on geotechnical risk & hazard assessment have increased due to human and economic damage by natural disasters with recent global climate changes. In this paper, geotechnical problems in particular, landslide which is interested in European countries and North America, were mainly discussed. For these, 18 key topics on geotechnical risk and hazards which had been discussed at the LARAM 2008 workshop in Italy were analyzed after grouping by subjects. Main topic contents consisted of applications such as field measurement, early warning systems, uncertainty analysis of parameters using radar, optical data and statistical theory and so on.

• Mass Spectrometry Letters
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• 제13권2호
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• pp.27-34
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• 2022

Atmospheric aerosols have become a major environmental concern because of their adverse effects on human health, air quality, and climate change. Over the last few decades, several mass spectrometry (MS)-based techniques have been developed and applied in the field of atmospheric aerosol research. Particularly, real-time measurement of ambient aerosols using an aerosol mass spectrometer (AMS) has become one of the most powerful tools for aerosol chemistry. This review provides a brief description of AMS and its applications for understanding the physicochemical properties of atmospheric aerosols, as well as its sources and evolution processes.

• 한국경영과학회지
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• 제41권2호
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• pp.17-33
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• 2016

Clustering is one of the leading methods to analyze big data and is used in many different fields. This study deals with Clustering Validity Index (CVI) to verify the effectiveness of clustering results. We compare the performance of CVIs with business applications of various field. In this study, the used CVIs for comparing performance are DU, CH, DB, SVDU, SVCH, and SVDB. The first three CVIs are well-known ones in the existing research and the last three CVIs are based on support vector data description. It has been verified with outstanding performance and qualified as the application ability of CVIs based on support vector data description.