• 제목/요약/키워드: Meteorological Big Data

검색결과 76건 처리시간 0.026초

제설작업과 기상정보의 상관관계를 통한 제설취약성 분석 (Analysis of Snow Removal Vulnerability through Relationship between Snow Removal Works and Weather Forecasts)

  • 양충헌;김인수;전우훈
    • 한국도로학회논문집
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    • 제14권4호
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    • pp.141-148
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    • 2012
  • PURPOSES : This study demonstrates the need for the collection of road weather information in order to perform efficient snow removal works during the winter season. Snow removal operations are usually dependent upon weather information obtained from the Automatic Weather Station provided by the Korea Meteorological Administration. However, there are some difference between road weather and weather forecasts in their scope. This is because general weather forecasts are focused on macroscopic standpoints rather than microscopic perspectives. METHODS : In this study, the relationship between snow removal works and historical weather forecasts are properly analyzed to prove the importance of road weather information. We collected both weather data and snow removal works during winter season at "A" regional offices in Gangwon areas. RESULTS : Results showed that the validation of weather forecasts for snow removal works were depended on the height difference between AWS location and its neighboring roadway. CONCLUSIONS : Namely, it appears that road weather information should be collected where AWS location and its neighboring roadway have relatively big difference in their heights.

Does Rain Really Cause Toothache? Statistical Analysis Based on Google Trends

  • Jeon, Se-Jeong
    • 치위생과학회지
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    • 제21권2호
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    • pp.104-110
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    • 2021
  • Background: Regardless of countries, the myth that rain makes the body ache has been worded in various forms, and a number of studies have been reported to investigate this. However, these studies, which depended on the patient's experience or memory, had obvious limitations. Google Trends is a big data analysis service based on search terms and viewing videos provided by Google LLC, and attempts to use it in various fields are continuing. In this study, we endeavored to introduce the 'value as a research tool' of the Google Trends, that has emerged along with technological advancements, through research on 'whether toothaches really occur frequently on rainy days'. Methods: Keywords were selected as objectively as possible by applying web crawling and text mining techniques, and the keyword "bi" meaning rain in Korean was added to verify the reliability of Google Trends data. The correlation was statistically analyzed using precipitation and temperature data provided by the Korea Meteorological Agency and daily search volume data provided by Google Trends. Results: Keywords "chi-gwa", "chi-tong", and "chung-chi" were selected, which in Korean mean 'dental clinic', 'toothache', and 'tooth decay' respectively. A significant correlation was found between the amount of precipitation and the search volume of tooth decay. No correlation was found between precipitation and other keywords or other combinations. It was natural that a very significant correlation was found between the amount of precipitation, temperature, and the search volume of "bi". Conclusion: Rain seems to actually be a cause of toothache, and if objective keyword selection is premised, Google Trends is considered to be very useful as a research tool in the future.

양자암호기반의 통신망 구축 및 성능시험 검증연구 (A study on Performance Evaluation for Network Architecture using Quantum Key Distribution Technology)

  • 이원혁;석우진;박찬진;권우창;손일권;김승해;박병연
    • KNOM Review
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    • 제22권2호
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    • pp.39-47
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    • 2019
  • 과학기술연구망(KREONET)에서는 기상기후 정보, 고에너지물리, 천문연구, 위성정보데이터, 유전체 연구데이터 등의 빅데이터 중심 첨단 연구 활동을 지원을 수행하고 있다. 기존의 네트워크 보안장비들이 있는 환경에서는 성능 저하가 발생하기 때문에, 고성능 연구전용 네트워크 상에서 성능저하를 방지하고, 고속 연구협업을 위한 방안들이 연구되고 있다. 또한 최근 이슈가 되는 양자컴퓨터의 등장으로 기존 암호체계를 활용한 보안성에 위협이 되고 있다. 본 논문에서는 단대단(End-to-End)의 고속 연구전용 네트워크상에서 양자암호기반의 통신망 구축을 통하여 물리적 보안성을 강화시키는 환경구축과 고성능 전송테스트를 통하여 양자암호기반 통신망을 구성한다. 물리적 암호화 수행시에 망 성능에 미치는 영향을 분석하여, 고성능 연구협업 네트워크 구축을 위한 기초 자료로 활용하고자 한다.

HeMOSU-1&2의 파랑 관측 자료를 이용한 파랑 변수 간 상관관계 분석 (Correlation Analysis between Wave Parameters using Wave Data Observed in HeMOSU-1&2)

  • 이욱재;고동휘;조홍연;오남선
    • 한국해안·해양공학회논문집
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    • 제33권4호
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    • pp.139-147
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    • 2021
  • 본 연구에서는 국내 서해안에 설치 된 HeMOSU-1호와 2호 해상기상관측타워에서 관측한 수면변위자료를 이용하여 파랑을 정의하고 파랑 변수 간 상관 분석을 수행하였다. 파열 분석법과 파랑 스펙트럼법을 이용하여 파고와 주기를 결정하였으며, 파랑변수 간 관계식을 산정하여 기존 연구와 비교하였다. 대표파고 간 관계식은 기존 연구와 비교하여 상관 계수의 오차율이 0.1% 미만으로 산정되었으며, 최대파고의 경우 최대 29%의 차이를 보이고 있었다. 또한, 주기 사이의 상관관계 분석 결과 스펙트럼 에너지 밀도가 작은 경우 주로 발현하는 쌍봉형 스펙트럼의 영향으로 인하여 HeMOSU-1호와 2호에서 각각 전체 자료의 2.5%, 1.3%의 비율로 첨두 주기가 유의 주기에 비해 비정상적으로 크게 산정되었다.

C-ITS 기반 PVD를 활용한 실시간 고속도로 강수정보 수집에 관한 연구 (A Study to Provide Real-Time Freeway Precipitation Information Using C-ITS Based PVD)

  • 김호선;김승범
    • 한국ITS학회 논문지
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    • 제20권6호
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    • pp.133-146
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    • 2021
  • 오늘날 도로의 기상정보를 제공하기 위해 기상청에서 관리하는 기상관측 지점의 관측데이터를 활용하여 기상관측 지점 인근의 도로 기상상태를 도로관리자와 도로이용자에게 제공하는 방식을 취하고 있다. 하지만, 강수량 수집지점과 기상정보 제공 대상 도로와의 거리와 자연지형으로 인해 현실적으로 정확한 기상정보의 제공이 어려운 실정이다. 따라서, 본 연구에서는 고속도로 C-ITS로부터 수집되는 PVD(Probe Vehicle Data)에 포함되어있는 수집시간, 좌표정보, 와이퍼 정보 등을 활용하여 노선 전체에 걸쳐 실시간 강우 정보를 추출함으로써 기존 지점 단위의 기상청 강우 정보제공의 한계를 극복해 보고자 한다. C-ITS 기반 PVD로부터 추출된 와이퍼 정보와 기상청 기반 정보를 비교해본 결과 강우강도에 관계없이 두 정보는 대체로 유사함을 알 수 있었으며, 시간당 누적강수량이 많아질수록 일치 확률이 높아지는 것을 확인할 수 있었다. 본 연구는 기존 도로의 기상정보 제공방법의 한계점을 극복하기 위해 C-ITS 기반 PVD를 활용했다는 점과 향후 다양한 지역에서 수집될 것으로 예상되는 PVD의 새로운 활용방안을 제시했다는 측면에서 의의가 있다.

Climate and Human coronaviruses 229E and Human coronaviruses OC43 Infections: Respiratory Viral Infections Prevalence in Hospitalized Children in Cheonan, Korea

  • Kim, Jang Mook;Jeon, Jae Sik;Kim, Jae Kyung
    • Journal of Microbiology and Biotechnology
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    • 제30권10호
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    • pp.1495-1499
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    • 2020
  • The study of climate and respiratory viral infections using big data may enable the recognition and interpretation of relationships between disease occurrence and climatic variables. In this study, real-time reverse transcription quantitative PCR (qPCR) methods were used to identify Human respiratory coronaviruses (HCoV). infections in patients below 10 years of age with respiratory infections who visited Dankook University Hospital in Cheonan, South Korea, from January 1, 2012, to December 31, 2018. Out of the 9010 patients who underwent respiratory virus real-time reverse transcription qPCR test, 364 tested positive for HCoV infections. Among these 364 patients, 72.8% (n = 265) were below 10 years of age. Data regarding the frequency of infections was used to uncover the seasonal pattern of the two viral strains, which was then compared with local meteorological data for the same time period. HCoV-229E and HCoV-OC43 showed high infection rates in patients below 10 years of age. There was a negative relationship between HCoV-229E and HCoV-OC43 infections with air temperature and wind-chill temperatures. Both HCoV-229E and HCoV-OC43 rates of infection were positively related to atmospheric pressure, while HCoV-229E was also positively associated with particulate matter concentrations. Our results suggest that climatic variables affect the rate in which children below 10 years of age are infected with HCoV. These findings may help to predict when prevention strategies may be most effective.

인터넷 고해상도 영상서비스를 이용한 농촌어메니티 자원조사 기술에 관한 연구 - Google Earth를 중심으로 - (A Study on Surveying Techniques of Rural Amenity Resources Using Internet High-resolution Image Services - mainly on Google Earth -)

  • 장민원;정회훈;이상현;최진용
    • 농촌계획
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    • 제15권4호
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    • pp.199-211
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    • 2009
  • The aim of this paper is to investigate the applicability of high spatial resolution remote sensing images for conducting the rural amenity resources survey. There are a large number of rural amenity resources and field reconnaissance without a sufficient preliminary survey involves a big amount of cost and time even if the data quality cannot always be satisfied with the advanced study. Therefore, a new approach should be considered like the state-of-the-art remote sensing technology to support field survey of rural amenity resources as well as to identify the spatial attributes including the geographical location, pathway, area, and shape. Generally high-resolution satellite or aerial photo images are too expensive to cover a large area and not free of meteorological conditions, but recently rapidly-advanced internet-based image services, such as Google Earth, Microsoft Bing maps, Bluebirds, Daum maps, and so on, are expected to overcome the handicaps. The review of the different services shows that Google Earth would be the most feasible alternative for the survey of rural amenity resources in that it provides powerful tools to build spatial features and the attributes and the data format is completely compatible with other GIS(Geographic information system) software. Hence, this study tried to apply the Google Earth service to interpret the amenity resources and proposed the reformed work process conjugating the internet-based high-resolution images like satellite and aerial photo data.

정수장 운영에 영향을 미치는 기후변화 요인 분석 (Effect of Climate Change Characteristics on Operation of Water Purification Plant)

  • 장유정;최현우;이서준;최재영;최현수;오희경
    • 한국물환경학회지
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    • 제40권2호
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    • pp.89-100
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    • 2024
  • Climate change has a broad impact on the entire water environment, and this impact is growing. Climate adaptation in water supply systems often involves quantity and quality control, but there has been a lack of research examining the impacts of climatic factors on water supply productivity and operation conditions. Therefore, the present study focused on, first, building a database of climatic factors and water purification operating conditions, and then identifying the correlations between factors to reveal their impacts. News big data was analyzed with keywords of climatic factors and water supply systems in either nationwide or region-wide analyses. Metropolitan area exhibited more issues with cold waves whereas there were more issues with drought in the Southern Chungcheong area. A survey was conducted to seek experts' opinions on the climatic impacts leading to these effects. Pre-chlorination due to drought, high-turbidity of intake water due to rainfall, an increase of toxins in intake water due to heat waves, and low water temperature due to cold waves were expected. Pearson correlation analysis was conducted based on meteorological data and the operating data of a water purification plant. Heavy rain resulted in 13 days of high turbidity, and the subsequent low turbidity conditions required 3 days of high coagulant dosage. This insight is expected to help inform the design of operation manuals for waterworks in response to climate change.

북태평양에서의 동계항해안전에 관한 연구 (A Study on about Securing Safe Sailing on the Sea Route of the North Pacific Ocean in Winter Season)

  • 윤점동;권종호;주재훈;허용범;최명식
    • 한국항해학회지
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    • 제11권2호
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    • pp.1-31
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    • 1987
  • Nowadays, the transportation of almost all cargoes depends on sea routes in international trade. In the transaction of trade, cargo transportation must be completed on the base of two contrary objectives, one of which is to protect the vessel, cargoes and crew aborad her safely through every step of the transportation and the other is to pursue profits from the transaction of the trade. In spite of the great development of the modern techniques in shipbuilding today, many sea disaters of big merchant vessels have been occurring successively in winter seasons every year on the sea routes of the North Pacific Ocean. Whenever the accident of losing a vessel in rough sea occurred , many experts of the country to which the vessel belonged had tried to take out the reason of the missing without manifesting the exact cause of the unhappy occurrence. In this paper, we calculated ocean wave status along the route of the North Pacific Ocean theoretically concluded by us as optimum on the basis of weather and sea conditions. In the calculation, we used ITTC wave spectrum formula and meteorological data of "Winds '||'&'||' Waves of the north Pacific Ocean" edited by Ship Research Institute of Japan on the basic data assembled by World Meterological Organization through past 10 years. We selected three sample vessels of most common size in the North Pacific Ocean Routes, a container, a log carrier and a bulk carrier and applied tree sample vessels to the calculated sea conditions for getting the rolling angles of the vessels and stress exerting on the hulls. Examining the calculated results, we concluded as follows; 1. Under the condition of these status7 by beaufort scale, "heave to" maneuvering is the best and safest way to steer every vessel. 2. The most dangerous part of sea area along the west bound optimum route of the North Pacific Ocean in winter season, is the southern sea area of the Kamchatka peninsula.a peninsula.

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광학입자계수기를 이용한 안면도 연직 에어러솔 수농도 크기 분포 특성 (Features on the Vertical Size Distribution of Aerosols using Ballon-borne Optical Particle Counter at Anmyeon)

  • 최병철;;임재철;정상부;김윤석;;;;김상백;홍기만;이영곤;유희정
    • 대기
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    • 제15권3호
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    • pp.149-153
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    • 2005
  • A balloon-borne Optical Particle Counter (hereafter "OPC Sonde"), which was developed by the atmospheric research group of Nagoya University, is used for getting the information of vertical profile of particle size and concentration in Anmyeon ($36^{\circ}32^{\prime}N$ $126^{\circ}19^{\prime}E$) on 18 March 2005. A range of five different particle sizes is shown in the vertical profile of aerosol number density estimated from the OPC Sonde. It was found that small size particles have vertically larger aerosol number density than relatively big ones. For all size ranges the vertical aerosol number density shows a decreased pattern as the altitude becomes higher. The aerosol number density of $0.3{\sim}0.5{\mu}m$, $0.5{\sim}0.8{\mu}m$, $0.8{\sim}1.2{\mu}m$ size ranges at the 10km height, which is the tropopause approximately, are $1,000,000ea/m^3$, $100,000ea/m^3$, $10,000ea/m^3$ respectively. The data of OPC Sonde are also compared with the data of PM10 $\beta$-ray) and Micro Pulse Lidar which are operating at Korea Global Atmosphere Watch Observatory in Anmyeon.