• 한국환경과학회지
• /
• 제30권12호
• /
• pp.1101-1111
• /
• 2021

In this study, among the W-S-R(Wiper-Signal-Rainfall) relationship methods used to produce sensor-based rain information in real time, we sought to produce actual rainfall information by applying machine learning techniques to account for the effects of wiper operation. To this end, we used the gradient descent and threshold map methods for pre-processing the cumulative value of the difference before and after wiper operation by utilizing four sensitive channels for optical sensors which collected rain sensor data produced by five rain conditions in indoor artificial rainfall experiments. These methods produced rainfall information by calculating the average value of the threshold according to the rainfall conditions and channels, creating a threshold map corresponding to the 4 (channel) × 5 (considering rainfall information) grid and applying Optima Rainfall Intensity among the big data processing techniques. To verify these proposed results, the application was evaluated by comparing rainfall observations.

• Water Engineering Research
• /
• 제4권4호
• /
• pp.187-192
• /
• 2003

The rainfall observation systems have largely been improved in Japan. The Japan Meteorological Agency, prefecture governments, and other administrative bodies have also increased the number of rain gauges thru out the country. The density of observatories is now one per several $\km^2$. Heavy rainfall information systems have been improved. Besides it, the Internet was popularized in the late 1990s, and has been used to transmit data of heavy rainfall. Internet accessible cellular phones have been popular in Japan since 1999. Such phones are expected to be useful in the field of disaster warning announcements, because they can automatically notify users bye-mail of pending disasters. The use of the Internet during natural disasters is groundbreaking in Japan today. However, in order to use disaster information effectively on Internet it is necessary to investigate how to use the information during the rainfall disaster. Therefore in our study we suggest methods on the effective construction and their use of information technology on Internet.

• 한국멀티미디어학회논문지
• /
• 제20권2호
• /
• pp.352-362
• /
• 2017

This paper proposes an algorithm for automatically converting and displaying rainfall radar data on a 3D GIS platform. The weather information displayed like rainfall radar data is updated frequently and large-scale. Thus, in order to efficiently display the data, an algorithm to convert and output the data automatically, rather than manually, is required. In addition, since rainfall data is extracted from the space, the use of the display image fused with the 3D GIS data representing the space enhances the visibility of the user. To meet these requirements, this study developed the Auto Data Converter application that analyzes the raw data of the rainfall radar and convert them into a universal format. In addition, Unity 3D, which has good development accessibility, was used for dynamic 3D implementation of the converted rainfall radar data. The software applications developed in this study could automatically convert a large volume of rainfall data into a universal format in a short time and perform 3D modeling effectively according to the data conversion on the 3D platform. Furthermore, the rainfall radar data could be merged with other GIS data for effective visualization.

• 한국환경과학회지
• /
• 제25권3호
• /
• pp.345-359
• /
• 2016

This study analyze the synoptic meteorological cause of rainfall, rainfall intensity, drop size distribution(DSD), fall velocity and oblateness measured by the 2D-Video distrometer(2DVD) by comparing two cases which are heavy rainfall event case and a case that is not classified as heavy rainfall but having more than $30mm\;h^{-1}$ rainrate in July, 2014 at Gimhae region. As a results; Over the high pressure edge area where strong upward motion exists, the convective rain type occurred and near the changma front, convective and frontal rainfall combined rain type occurred. Therefore, rainrate varies based on the synoptic meteorological condition. The most rain drop distribution appeared in the raindrops with diameters between 0.4 mm and 0.6 mm and large particles appeared for the convective rain type since strong upward motion provide favorable conditions for the drops to grow by colliding and merging so the drop size distribution varies based on the location or rainfall types. The rainfall phases is mainly rain and as the diameter of the raindrop increase the fall velocity increase and oblateness decrease. The equation proposed based on the 2DVD tends to underestimated both fall velocity and oblateness compared with observation. Since these varies based on the rainfall characteristics of the observation location, standard equation for fall velocity and oblateness fit for Gimhae area can be developed by continuous observation and data collection hereafter.

• 한국수자원학회논문집
• /
• 제39권4호
• /
• pp.335-346
• /
• 2006

수문모형의 많은 입력자료 가운데 강우 관측자료가 모의결과에 가장 주요한 원인을 가진다. 과거부터 수문모형은 유역에서의 평균강우량 자료를 한 지점에서의 강우량 자료에 의존해 왔다. 그러나, 지점에서 측정된 강우량 자료를 유역을 대표하는 평균강우량 산정에 이용할 경우 부적절한 경우가 발생할 수 있으며, 특히 그 계측망이 조밀하지 못할 경우 더욱 그러하다. 레이더의 경우 보다 넓은 유역 전체를 관측하기 때문에 유역에서의 평균강우량을 제공함에 있어 좋은 관측장비라 할 수 있다. 레이더를 이용하여 강우를 관측할 경우 직접적인 강우관측이 아니기 때문에 QPE에서 몇몇 한계가 있을 수 있으나, 강우자료의 공간변화도에 대한 좋은 정보를 제공해 준다. 또한 지상의 강우관측소에서의 강우측정자료는 지점에서의 강우량에 대한 정확한 정보를 제공해 준다. 따라서, 본 연구의 목적은 지상의 강우관측소에서 관측된 강우량 자료와 레이더를 이용하여 관측된 자료, 즉 두 가지 관측자료를 Ordinary cokriging 보간을 이용하여 통합함으로써 개선된 강우량 추정방법을 개발한다.

• Spatial Information Research
• /
• 제15권2호
• /
• pp.159-167
• /
• 2007

본 연구에서는 현재 홍수설계에 적용되고 있는 Huff 방법이 집중호우사상에까지 확장 적용될 가능성이 있는지를 확인하고자 하였다. 이를 위해 2006년 7월 집중강우가 발생한 평창 오대천 유역을 중심으로 집중강우에 의한 실측 강우량과 이를 Huff방법에 의해 설계 강우량으로 환산하고 유출량을 산출하고 또한 홍수위로 환산하여 흔적수위와 비교하였다. 비교 결과 설계강우에 의해 산출된 홍수량은 실제 발생했던 실제 집중강우를 적용하였을 경우의 첨두홍수량에 비해 1/2정도에 불과한 작은 값을 보였다. 또한 실제 집중호우에 의해 발생한 홍수량은 단시간에 발생한 강우사상임에도 불구하고 적용대상유역의 150년 빈도 홍수량에 근접하는 것으로 나타났다.

• 한국지리정보학회지
• /
• 제13권4호
• /
• pp.101-110
• /
• 2010

태풍 및 국지성 폭우로 인한 침수 및 범람지역의 발생이 증가하고 있어 재해 이력에 대한 체계적 구축과 침수 예측에 대한 정략적 분석을 통한 재해 예방이 필요하다. 본 연구는 피해지역의 수치영상을 기반으로 피해조사 범위 산정의 기반 자료와 속성정보를 제공하기 위하여 지리정보체계 매핑 기술을 사용하여 수치영상과 피해지역 연속지적도의 속성정보 융합을 통해 현장 실사용 재해정보지도를 구축하였다. 또한, 재해정보의 고도화를 위해 홍수범람 시뮬레이션을 통해 대상 지역의 빈도별 홍수량을 산정하여 돌발홍수 예측지역을 표시하였으며 지적 정보를 활용하여 빈도별 침수면적 및 침수피해율을 산출하였다. 따라서, 집중호우에 따른 홍수 시나리오 분석을 통해 사전에 자연재해 예방 및 대책을 위한 의사결정을 지원함으로써 자연재해관리 업무 효율성 및 대응능력 강화에 기여할 수 있는 방안을 제시하였다.

• 한국수자원학회:학술대회논문집
• /
• 한국수자원학회 2006년도 학술발표회 논문집
• /
• pp.28-35
• /
• 2006

Global Flood Alert System (GFAS) is an attempt to make the best use of satellite rainfall data in flood forecasting. The project of GFAS is promoted both by Ministry of Land, Infrastructure and Transport-Japan (MLIT) and Japan Aerospace Exploration Agency (JAXA), under which Infrastructure Development Institute-Japan (IDI) has been working on the development of Internet-based information system and just launched trial run of GFAS in April 2006 on International Flood Network (IFNet) website. The function of GFAS is to connect space agencies and hydrological services/river authorities in charge of flood forecasting and warning by providing global rainfall information in maps, text data e-mails and so on which is produced from binary global rainfall data downloaded from National Aeronautics and Space Administration (NASA) website. Although the effectiveness of satellite rainfall data in flood forecasting and warning has yet to be verified, satellite rainfall is expected to play an important role to strengthen existing flood forecasting systems by diversifying hydrological data source.

• Journal of the Korean Data and Information Science Society
• /
• 제24권3호
• /
• pp.603-623
• /
• 2013

최근 들어 예측하기 힘든 기후의 변동성이 심해지고 한국의 산업이 고도화됨에 따라 날씨의 변화에 능동적으로 대처하기 위해 날씨보험이나 날씨 파생상품을 활용할 수 있으나 현재 실제로 이러한 금융상품을 이용하여 날씨위험을 관리하는 데에는 많은 어려움과 한계가 있다. 본 논문에서는 다양한 강수보험의 활성화에 필요한 강수횟수와 강수량의 확률적 모델링을 통하여 여러 가지 강수 보험을 제안하고 추정된 결합분포를 통하여 보험료를 산출하려 한다. 이를 위하여 최근 30년 동안 한국 9개 지역의 7월-9월의 월 강수량과 월 강수 횟수를 확률분포에 적합하고 두 확률변수의 상관성을 코퓰라를 이용하여 분석한다. 그리고 개별분포와 추정된 코퓰라를 이용하여 시뮬레이션을 통하여 여러 가지 강수 보험의 가격을 결정하는 방법을 제안한다.

• 대한원격탐사학회:학술대회논문집
• /
• 대한원격탐사학회 2006년도 춘계학술대회 논문집
• /
• pp.117-120
• /
• 2006

Heavy rainfall events are occurred exceedingly various forms by a complex interaction between synoptic, dynamic and atmospheric stability. As the results, quantitative precipitation forecast is extraordinary difficult because it happens locally in a short time and has a strong spatial and temporal variations. GOES-9 imagery data provides continuous observations of the clouds in time and space at the right resolution. In this study, an power-law type algorithm(KAE: Korea auto estimator) for estimating rainfall based on the rainfall type was developed using geostationary meteorological satellite data. GOES-9 imagery and automatic weather station(AWS) measurements data were used for the classification of rainfall types and the development of estimation algorithm. Subjective and objective classification of rainfall types using GOES-9 imagery data and AWS measurements data showed that most of heavy rainfalls are occurred by the convective and mired type. Statistical analysis between AWS rainfall and GOES-IR data according to the rainfall types showed that estimation of rainfall amount using satellite data could be possible only for the convective and mixed type rainfall. The quality of KAE in estimating the rainfall amount and rainfall area is similar or slightly superior to the National Environmental Satellite Data and Information Service's auto-estimator(NESDIS AE), especially for the multi cell convective and mixed type heavy rainfalls. Also the high estimated level is denoted on the mature stage as well as decaying stages of rainfall system.