• 제목/요약/키워드: rainfall information

검색결과 808건 처리시간 0.026초

강우사상을 고려한 화강풍화토 비탈면의 안정성 평가 (Evaluation of Stability of Slope with Granite Weathered Soil considering Rainfall Events)

  • 김규형;황의필;이강일
    • 한국재난정보학회 논문집
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    • 제14권4호
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    • pp.421-429
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    • 2018
  • 연구목적 : 본 연구는 기후변화에 따른 강우량 및 강우패턴을 분석하여 강우시 비탈면 거동을 파악하기 위해 강우사상을 합리적으로 적용하여 절토부 비탈면 안정성해석에 활용하고자 수치해석기법을 이용하여 비탈면 높이별, 강우사상별 침투해석을 실시하여 강우사상 및 강우지속시간에 따른 지하수위 변화를 고려한 비탈면 안정성검토를 실시하였다. 연구결과 : 강우사상(Uniform Rainfall, US Army Corps., Huff 4분위법 중 1/4법 및 4/4법)에 따른 화강풍화토 비탈면의 수치해석결과 비탈면이 높을수록 침투된 강우가 지하수위까지 빠르게 도달하지 못하여 지하수위 상승은 작아지고, 비탈면의 안전율도 작게 분석되었다. 결론 : 초기강우강도가 제일 큰 강우패턴 Case 3조건인 Huff 4분위법 중 1/4법에서 지하수위 상승량이 제일 크게 나타났으며, 안전율은 가장 작게 나타났다.

지상우량계와 기상레이더 강우강도의 비교연구 (A Comparative Study of the Rainfall Intensity Between Ground Rain Gauge and Weather Radar)

  • 류찬수;강인숙;임재환
    • 통합자연과학논문집
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    • 제4권3호
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    • pp.229-237
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    • 2011
  • Today they use a weather radar with spatially high resolution in predicting rainfall intensity and utilizing the information for super short-range forecast in order to make predictions of such severe meteorological phenomena as heavy rainfall and snow. For a weather radar, they use the Z-R relation between the reflectivity factor(Z) and rainfall intensity(R) by rainfall particles in the atmosphere in order to estimate intensity. Most used among the various Z-R relation is $Z=200R^{1.6}$ applied to stratiform rain. It's also used to estimate basic rainfall intensity of a weather radar run by the weather center. This study set out to compare rainfall intensity between the reflectivity of a weather radar and the ground rainfall of ASOS(Automatic Surface Observation System) by analyzing many different cases of heavy rain, analyze the errors of different weather radars and identify their problems, and investigate their applicability to nowcasting in case of severe weather.

추계강우모형에서의 강우통계의 시간적 변동성 연구 (Importance of the Temporal Variability of Rainfall Statistics in Stochastic Rainfall Modeling)

  • 김동균;이진우;조용식
    • 한국방재학회:학술대회논문집
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    • 한국방재학회 2010년도 정기 학술발표대회
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    • pp.51.2-51.2
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    • 2010
  • A novel approach of Poisson cluster stochastic rainfall generator was validated in its ability to reproduce important rainfall and watershed response characteristics at 104 locations of the United States. The suggested novel approach - The Hybrid Model(THM), as compared to the traditional ones, has an additional function to account for the year-to-year variability of rainfall statistics. The two-sample Kolmogorov-Smirnov test was used to see how well THM and traditional approach of Poisson cluster rainfall model reproduce the distribution of the following hydrologic variables: monthly maximum rainfall depths with 1, 3, 6, 12, and 24 hour duration, monthly maximum flow peaks at the virtual watersheds with Curve Number of 50, 60, 70, 80 and 90; and monthly runoff depths at the same virtual watersheds. In all of the testing variables, THM significantly outperformed the traditional approach. This result indicates that the year-to-year variability of rainfall statistics contains important information about the characteristics of rainfall processes that were not considered by the conventional approach of Poisson cluster rainfall modeling and that further considering it in rainfall simulation will enhance the performance of the rainfall models.

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부분적 레이더 정보에 따른 면적평균강우의 관측오차 (Sampling Error of Areal Average Rainfall due to Radar Partial Coverage)

  • 유철상;김병수;김경준;윤정수
    • 한국방재학회:학술대회논문집
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    • 한국방재학회 2008년도 정기총회 및 학술발표대회
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    • pp.97-100
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    • 2008
  • This study estimated the error involved in the areal average rainfall derived incomplete radar information due to radar partial coverage of a basin or sub-basin. This study considers the Han River Basin as an application example for the rainfall observation using the Ganghwa rain radar. Among the total of 24 mid-sized sub-basins of the Han River Basin evaluated in this study, only five sub-basins are fully covered by the radar and three are totally uncovered. Remaining 16 sub-basins are partially covered by the radar leading incomplete radar information available. When only partial radar information is available, the sampling error decreases proportional to the size of the radar coverage, which also varies depending on the number of clusters. It is general that smaller sampling error can be expected when the number of clusters increases if the total area coverage remains the same. This study estimated the sampling error of the areal average rainfall of partially-covered mid-sized sub-basins of the Han River Basin, and the results show that the sampling error could be at least several % to maximum tens % depending on the relative coverage area.

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Proposed One-Minute Rain Rate Conversion Method for Microwave Applications in Korea

  • Shrestha, Sujan;Choi, Dong-You
    • Journal of information and communication convergence engineering
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    • 제14권3호
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    • pp.153-162
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    • 2016
  • Microwave and millimeter waves are considered suitable frequency ranges for diverse applications. The prediction of rain attenuation required the 1-min rainfall rate distribution, particularly for data obtained locally from experimental measurement campaigns over a given location. Rainfall rate data acquired from Korea Meteorological Administration (KMA) for nine major sites are analyzed to investigate the statistical stability of the cumulative distribution of rainfall rate, as obtained from a 10-year measurement. In this study, we use the following rain rate conversion techniques: Segal, Burgueno et al., Chebil and Rahman, exponential, and proposed global coefficient methods. The performance of the proposed technique is tested against that of the existing rain rate conversion techniques. The nine sites considered for the average 1-min rain rate derivation are Gwangju, Daegu, Daejeon, Busan, Seogwipo, Seoul, Ulsan, Incheon, and Chuncheon. In this paper, we propose a conversion technique for a suitable estimation of the 1-min rainfall rate distribution.

Quantitative Estimation of the Precipitation utilizing the Image Signal of Weather Radar

  • Choi, Jeongho;Lim, Sanghun;Han, Myoungsun;Kim, Hyunjung;Lee, Baekyu
    • Journal of Multimedia Information System
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    • 제5권4호
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    • pp.245-256
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    • 2018
  • This study estimated rainfall information more effectively by image signals through the information system of weather radar. Based on this, we suggest the way to estimate quantitative precipitation utilizing overlapped observation area of radars. We used the overlapped observation range of ground hyetometer observation network and radar observation network which are dense in our country. We chose the southern coast where precipitation entered from seaside is quite frequent and used Sungsan radar installed in Jeju island and Gudoksan radar installed in the southern coast area. We used the rainy season data generated in 2010 as the precipitation data. As a result, we found a reflectivity bias between two radar located in different area and developed the new quantitative precipitation estimation method using the bias. Estimated radar rainfall from this method showed the apt radar rainfall estimate than the other results from conventional method at overall rainfall field.

강우계와 레이더를 이용한 강우의 시공간적인 활용 (Spatial-Temporal Interpolation of Rainfall Using Rain Gauge and Radar)

  • 홍승진;김병식;함창학
    • 대한공간정보학회지
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    • 제18권3호
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    • pp.37-48
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    • 2010
  • 본 논문의 목적은 격자형 레이더 강우자료와 지상강우를 이용하여 홍수유출모의 시 강우장이 미치는 영향을 평가하는 것이다. 본 논문에서는 공간 강우장을 생성하기 위해 광덕산 레이더와 지상 관측강우자료를 이용하였으며 각각의 방법에 의해 생성된 강우장이 현실적으로 타당한 시공간적 분포를 재현하는지를 평가하기 위해 홍수 유출모형을 이용하였다. 대상유역은 강원도 인제군에 위치한 내린천 유역이며 유출모형의 지형학적 매개변수들을 구축하기 위해 250m 격자 규모의 수치고도자료, 토지피복도 그리고 토양도를 사용하였다. 강우입력자료는 관측-레이더강우(Quantitative Precipitation Estimation, QPE), 보정-레이더강우(adjusted Radar rainfall), 지상-강우(gauge rainfall)를 이용하였으며 동일한 조건의 $Vflo^{TM}$ 모형에 입력하여 관측 유출량과 비교 하였다. 모의결과, 관측-레이더강우와 지상-강우의 경우 관측치 보다 과소 추정되었으며 보정-레이더강우의 경우 실제 관측치와 유사한 유출모의를 하는 것으로 분석되었다. 이를 통해 기상레이더와 지상강우자료를 합성할 경우 레이더 강우만을 또는 지상강우만을 사용하는 것 보다 수문모형의 입력 자료로써 수문학적 활용성이 더 큼을 확인할 수 있었다.

강우감쇠의 영향 분석을 위한 국내 각 지역의 강우강도 분포 (Rainfall-intensity distribution for an analysis of the effects of rain attenuation)

  • 이형수;신철호
    • 한국통신학회논문지
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    • 제23권4호
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    • pp.1006-1015
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    • 1998
  • 20GHz 이상의 주파수대에서 대기중 감쇠에 있어서 고려해야 할 인자로는 대기분자, 강우, 강설, 안개 등이 있으며 이 중 가장 큰 영향은 강우에 의한 감쇠이다. 강우로 인한 감쇠는 강우강도에 의해서 그 감쇠정도가 결정되고, 강우강도는 공간적 시간적으로 변동이 매우 다양하다. 따라서 강우강도에 의한 시간적 공간적 데이터의 확보와 정확한 강우강도의 추정은 정확하고 신뢰성 있는 회선설계를 위하여 필수적이다. 본 연구에서는 제주도를 제외한 남한전역의 32개 측후소로부터 얻을 수 있는 최근 10여년 간의 디지털 강우강도 데이터를 확보하여 지역별 강우강도와 시간율의 관계를 경험적으로 분석하였으며, 강우강도의 분포를 추정하기 위한 여러 가지 방법론을 비교 분석하였고 한국실정에 맞는 방법론을 제시하였다.

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High Resolution Probabilistic Quantitative Precipitation Forecasting in Korea

  • Oh, Jai-Ho;Kim, Ok-Yeon;Yi, Han-Se;Kim, Tae-Kuk
    • 한국제4기학회지
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    • 제19권2호
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    • pp.74-79
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    • 2005
  • Recently, several attempts have been made to provide reasonable information on unusual severe weather phenomena such as tolerant heavy rains and very wild typhoons. Quantitative precipitation forecasts and probabilistic quantitative precipitation forecasts (QPFs and PQPFs, respectively) might be one of the most promising methodologies for early warning on the flesh floods because those diagnostic precipitation models require less computational resources than fine-mesh full-dynamics non-hydrostatic mesoscale model. The diagnostic rainfall model used in this study is the named QPM(Quantitative Precipitation Model), which calculates the rainfall by considering the effect of small-scale topography which is not treated in the mesoscale model. We examine the capability of probabilistic diagnostic rainfall model in terms of how well represented the observed several rainfall events and what is the most optimistic resolution of the mesoscale model in which diagnostic rainfall model is nested. Also, we examine the integration time to provide reasonable fine-mesh rainfall information. When we apply this QPM directly to 27 km mesh meso-scale model (called as M27-Q3), it takes about 15 min. while it takes about 87 min. to get the same resolution precipitation information with full dynamic downscaling method (called M27-9-3). The quality of precipitation forecast by M27-Q3 is quite comparable with the results of M27-9-3 with reasonable threshold value for precipitation. Based on a series of examination we may conclude that the proosed QPM has a capability to provide fine-mesh rainfall information in terms of time and accuracy compared to full dynamical fine-mesh meso-scale model.

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The Effects of Typhoon Initialization and Dropwindsonde Data Assimilation on Direct and Indirect Heavy Rainfall Simulation in WRF model

  • Lee, Ji-Woo
    • 한국지구과학회지
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    • 제36권5호
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    • pp.460-475
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    • 2015
  • A number of heavy rainfall events on the Korean Peninsula are indirectly influenced by tropical cyclones (TCs) when they are located in southeastern China. In this study, a heavy rainfall case in the middle Korean region is selected to examine the influence of typhoon simulation performance on predictability of remote rainfall over Korea as well as direct rainfall over Taiwan. Four different numerical experiments are conducted using Weather Research and Forecasting (WRF) model, toggling on and off two different improvements on typhoon in the model initial condition (IC), which are TC bogussing initialization and dropwindsonde observation data assimilation (DA). The Geophysical Fluid Dynamics Laboratory TC initialization algorithm is implemented to generate the bogused vortex instead of the initial typhoon, while the airborne observation obtained from dropwindsonde is applied by WRF Three-dimensional variational data assimilation. Results show that use of both TC initialization and DA improves predictability of TC track as well as rainfall over Korea and Taiwan. Without any of IC improvement usage, the intensity of TC is underestimated during the simulation. Using TC initialization alone improves simulation of direct rainfall but not of indirect rainfall, while using DA alone has a negative impact on the TC track forecast. This study confirms that the well-suited TC simulation over southeastern China improves remote rainfall predictability over Korea as well as TC direct rainfall over Taiwan.