• Title/Summary/Keyword: Radar Rainfall

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Development of flood forecasting system on city·mountains·small river area in Korea and assessment of forecast accuracy (전국 도시·산지·소하천 돌발홍수예측 시스템 개발 및 정확도 평가)

  • Hwang, Seokhwan;Yoon, Jungsoo;Kang, Narae;Lee, Dong-Ryul
    • Journal of Korea Water Resources Association
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    • v.53 no.3
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    • pp.225-236
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    • 2020
  • It is not easy to provide sufficient lead time for flood forecast in urban and small mountain basins using on-ground rain gauges, because the time concentration in those basins is too short. In urban and small mountain basins with a short lag-time between precipitation and following flood events, it is more important to secure forecast lead times by predicting rainfall amounts. The Han River Flood Control Office (HRFCO) in South Korea produces short-term rainfall forecasts using the Mcgill Algorithm for Precipitation-nowcast by Lagrangian Extrapolation (MAPLE) algorithm that converts radar reflectance of rainfall events. The Flash Flood Research Center (FFRC) in the Korea Institute of Civil Engineering and Building Technology (KICT) installed a flash flood forecasting system using the short-term rainfall forecast data produced by the HRFCO and has provided flash flood information in a local lvel with 1-hour lead time since 2019. In this study, we addressed the flash flood forecasting system based on the radar rainfall and the assessed the accuracy of the forecasting system for the recorded flood events occurred in 2019. A total of 31 flood disaster cases were used to evaluate the accuracy and the forecast accuracy was 90.3% based on the probability of detection.

Development of Distributed Rainfall-Runoff Model Using Multi-Directional Flow Allocation and Real-Time Updating Algorithm (II) - Application - (다방향 흐름 분배와 실시간 보정 알고리듬을 이용한 분포형 강우-유출 모형 개발(II) - 적용 -)

  • Kim, Keuk-Soo;Han, Kun-Yeun;Kim, Gwang-Seob
    • Journal of Korea Water Resources Association
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    • v.42 no.3
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    • pp.259-270
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    • 2009
  • The applicability of the developed distributed rainfall runoff model using a multi-directional flow allocation algorithm and a real-time updating algorithm was evaluated. The rainfall runoff processes were simulated for the events of the Andong dam basin and the Namgang dam basin using raingauge network data and weather radar rainfall data, respectively. Model parameters of the basins were estimated using previous storm event then those parameters were applied to a current storm event. The physical propriety of the multi-directional flow allocation algorithm for flow routing was validated by presenting the result of flow grouping for the Andong dam basin. Results demonstrated that the developed model has efficiency of simulation time with maintaining accuracy by applying the multi-directional flow allocation algorithm and it can obtain more accurate results by applying the real-time updating algorithm. In this study, we demonstrated the applicability of a distributed rainfall runoff model for the advanced basin-wide flood management.

Integration of top-down and bottom-up approaches for a complementary high spatial resolution satellite rainfall product in South Korea

  • Nguyen, Hoang Hai;Han, Byungjoo;Oh, Yeontaek;Jung, Woosung;Shin, Daeyun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.153-153
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    • 2022
  • Large-scale and accurate observations at fine spatial resolution through a means of remote sensing offer an effective tool for capturing rainfall variability over the traditional rain gauges and weather radars. Although satellite rainfall products (SRPs) derived using two major estimation approaches were evaluated worldwide, their practical applications suffered from limitations. In particular, the traditional top-down SRPs (e.g., IMERG), which are based on direct estimation of rain rate from microwave satellite observations, are mainly restricted with their coarse spatial resolution, while applications of the bottom-up approach, which allows backward estimation of rainfall from soil moisture signals, to novel high spatial resolution soil moisture satellite sensors over South Korea are not introduced. Thus, this study aims to evaluate the performances of a state-of-the-art bottom-up SRP (the self-calibrated SM2RAIN model) applied to the C-band SAR Sentinel-1, a statistically downscaled version of the conventional top-down IMERG SRP, and their integration for a targeted high spatial resolution of 0.01° (~ 1-km) over central South Korea, where the differences in climate zones (coastal region vs. mainland region) and vegetation covers (croplands vs. mixed forests) are highlighted. The results indicated that each single SRP can provide plus points in distinct climatic and vegetated conditions, while their drawbacks have existed. Superior performance was obtained by merging these individual SRPs, providing preliminary results on a complementary high spatial resolution SRP over central South Korea. This study results shed light on the further development of integration framework and a complementary high spatial resolution rainfall product from multi-satellite sensors as well as multi-observing systems (integrated gauge-radar-satellite) extending for entire South Korea, toward the demands for urban hydrology and microscale agriculture.

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Search of submarine discharge locations with multi-temporal thermal infrared images and ground radar surveys

  • Onishi K.;Sairaiji M.;Rokugawa S.;Tokunaga T.;Sakuno Y.
    • Proceedings of the KSRS Conference
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    • 2004.10a
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    • pp.685-688
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    • 2004
  • Fresh water discharge from the sea floor strongly affects a coastal ecology and the diffusion of contaminants. Much fresh water discharge has been found in the edge of Kurobe alluvial fan, in which annual rainfall is over 4000mm and there is abundant groundwater. However, it is difficult to find the groundwater discharge, thus the search of possible areas with some remote sensing tools is required. Because the temperature of the discharge point is relatively low compared with the surrounding sea water surfaces, there is a possibility to detect the area as an irregular zone of thermal infrared images. Two anomalous temperature zones, which have no surface streams from rivers, are detected by ASTER thermal-infrared images. One of them was verified as the groundwater discharge point by dives. In addition, the distribution of water table under the land side of the two areas is also detected as irregular zones by a ground-penetrating radar

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On the Correction of Mean-Field Bias of Radar Rainfall Using Spatially Disproportionate Rain Gauge Network: A Case Study of Ganghwa Rain Radar in Korea (지역적으로 편중된 우량계 자료를 이용한 레이더 강우의 편의 보정: 강화 수문레이더의 사례 연구)

  • Yoo, Chul-Sang;Kim, Byoung-Soo;Yoon, Jung-Soo;Ha, Eun-Ho
    • Proceedings of the Korea Water Resources Association Conference
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    • 2008.05a
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    • pp.284-288
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    • 2008
  • 레이더 강우의 편의 추정은 근본적으로 레이더 강우의 평균과 참값으로 가정되는 우량계 강우의 평균과의 차이를 결정하는 문제이다. 두 관측치의 차이를 정확히 결정하기 위해서는 두 관측치의 차이에 대한 분산이 매우 작아야 하며, 따라서 비교되는 관측치의 수가 충분히 확보되어야 한다. 즉, 이 문제는 두 관측치의 차이에 대한 분산의 규모를 주어진 조건에 맞추기 위해 필요한 우량계의 수를 결정하는 것이 된다. 본 연구에는 특히 일부 지역에만 우량계의 설치가 가능한 경우를 대상으로 하고자 한다. 이는 임진강 유역에 대해 강우레이더를 운영하는 경우에 해당하는 문제이며, 또한 바다와 접한 지역에서 레이더를 설치 운영할 경우에도 발생하는 문제이다. 본 연구에서는 임진강 유역을 대상으로 하였으며, 전체 유역의 약 1/3정도인 하류유역에서만 우량계 자료가 가용한 경우와 전체 유역에 대해 우량계 강우가 가용한 경우의 차이를 비교하였다. 이러한 분석결과를 토대로 임진강 유역 전체 지역에 고르게 우량계가 분포할 경우의 관측정도를 얻기 위한 하류유역의 우량계 밀도를 제시하였다.

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Development of a Flood Runoff and Inundation Analysis System Associated With 2-D Rainfall Data Generated Using Radar I. Quality Control and CAPPI Composite Calculation (레이더 정량강우와 연계한 홍수유출 및 범람해석 시스템 확립 I. 품질검사와 합성 CAPPI 산출)

  • Choi, Kyu-Hyun;Han, Kun-Yeun;Kim, Kyung-Eak;Lee, Chang-Hee
    • Journal of Korea Water Resources Association
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    • v.39 no.4 s.165
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    • pp.321-334
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    • 2006
  • The need for economical and accurate presentations of equivalent radar reflectivity( $Z_e$) data in an orthogonal coordinate system has existed for some time. So, in this study, a fast and efficient procedure has been developed which allows the systematic interpolation of digital reflectivity data from radar space into Cartesian space. At first, QC(Quality Control) of radar data has been executed for extracting uncontaminated Constant Altitude Plan Position Indicator(CAPPI) data. The algorithm is designed so that only one ordered pass through the original Plan Position Indicator(PPI) scan data is necessary to complete the interpolation process. The model can calculate various resolution and altitude reflectivity data for many kinds of hydrological usage.

Estimation of Quantitative Precipitation Rate Using an Optimal Weighting Method with RADAR Estimated Rainrate and AWS Rainrate (RADAR 추정 강수량과 AWS 강수량의 최적 결합 방법을 이용한 정량적 강수량 산출)

  • Oh, Hyun-Mi;Heo, Ki-Young;Ha, Kyung-Ja
    • Korean Journal of Remote Sensing
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    • v.22 no.6
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    • pp.485-493
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    • 2006
  • This study is to combine precipitation data with different spatial-temporal characteristics using an optimal weighting method. This optimal weighting method is designed for combination of AWS rain gage data and S-band RADAR-estimated rain data with weighting function in inverse proportion to own mean square error for the previous time step. To decide the optimal weight coefficient for optimized precipitation according to different training time, the method has been performed on Changma case with a long spell of rainy hour for the training time from 1 hour to 10 hours. Horizontal field of optimized precipitation tends to be smoothed after 2 hours training time, and then optimized precipitation has a good agreement with synoptic station rainfall assumed as true value. This result suggests that this optimal weighting method can be used for production of high-resolution quantitative precipitation rate using various data sets.

Improvement of Non-linear Estimation Equation of Rainfall Intensity over the Korean Peninsula by using the Brightness Temperature of Satellite and Radar Reflectivity Data (기상위성 휘도온도와 기상레이더 반사도 자료를 이용한 한반도 영역의 강우강도 추정 비선형 관계식 개선)

  • Choi, Haklim;Seo, Jong-Jin;Bae, Juyeon;Kim, Sujin;Lee, Kwang-Mog
    • Journal of the Korean earth science society
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    • v.39 no.2
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    • pp.131-138
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    • 2018
  • The purpose of this study is to improve the quantitative precipitation estimation method based on satellite brightness temperature. The non-linear equation for rainfall estimation is improved by analysing precipitation cases around the Korean peninsula in summer. Radar reflectivity is adopted the CAPPI 1.5 and CMAX composite fields that provided by the Korea Meteorological Agency (KMA). In addition, the satellite data are used infrared, water vapor and visible channel measured from meteorological imager sensor mounted on the Chollian satellite. The improved algorithm is compared with the results of the A-E method and CRR analytic function. POD, FAR and CSI are 0.67, 0.76 and 0.21, respectively. The MAE and RMSE are 2.49 and 6.18 mm/h. As the quantitative error was reduced in comparison to A-E and qualitative accuracy increased in compare with CRR, the disadvantage of both algorithms are complemented. The method of estimating precipitation through a relational expression can be used for short-term forecasting because of allowing precipitation estimation in a short time without going through complicated algorithms.

A 3D ground penetrating radar imaging of the heavy rainfall-induced deformation around a river levee: a case study of Ara River, Saitama, Japan (폭우에 의해 발생된 강 제방 주변 변형의 3차원 GPR 영상화: 일본 사이타마현의 아라강에 대한 현장적용사례)

  • Yokota, Toshiyuki;Inazaki, Tomio;Shinagawa, Shunsuke;Ueda, Takumi
    • Geophysics and Geophysical Exploration
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    • v.12 no.1
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    • pp.49-55
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    • 2009
  • This paper describes a three-dimensional ground penetrating radar (GPR) survey carried out around a levee of the Ara River in Saitama, Japan, where deformation of the ground was observed after heavy rainfall associated with the typhoon of September 2007. The high-density 3D GPR survey was conducted as a series of closely adjacent four directional sets of 2D surveys at an area surrounding vertical cracks on the paved road caused by deformations induced by heavy rain. The survey directions of the 2D surveys were 0, 90, 45, and -45 degrees with respect to the paved road and the intervals between lines were less than 0.5 m. The 3D subsurface structure was accurately imaged by the result of data processing using Kirchhoff-type 3D migration. As a result, locations and vertical continuities of the heavy rainfall induced cracks in the paved road were clearly imaged. This will be a great help in considering the generation mechanisms of the cracks. Moreover, the current risk of a secondary disaster was found to be low, as no air-filled cavities were detected by the 3D GPR survey.

Real Time Rainfall Intensity Estimation Using Rainfall Radar and Rain Gauges (강우레이더와 지상우량계 자료를 이용한 실시간 강우강도 추정)

  • Choi, Kyu-Hyun;Kim, Byung-Sik;Jung, Jae-Wook;Hyun, Myung-Suk
    • Proceedings of the Korea Water Resources Association Conference
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    • 2006.05a
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    • pp.1511-1514
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    • 2006
  • 본 연구에서는 현재 건설교통부에서 설치 및 운영 중에 있는 소형강우레이더의 최적화를 위해서 지상의 강우관측소 자료와 레이더 측정 자료의 실시간 보정방법을 이용하여 강우강도를 추정하였다. 본 연구에서 이용된 실시간 Z-R 관계식 적용으로 인한 강우강도 개선 정도를 파악하기 위해서 통상 일률적으로 적용되고 있는 $Z=200R^{1.6}$에 의한 강우강도 결과와 비교.분석하였으며, 지상의 강우관측소 실측 강우량과 비교함으로써 적용성을 보였다. 본 연구에서 이용된 보정방법은 강우보정에 소요되는 시간이 짧아 실시간 적용이 가능하며, 레이더 강우량의 정확한 추정으로 유역에서의 향상된 면적강우량 산출이 가능할 것으로 판단된다.

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