• 대기
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• 제26권1호
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• pp.141-158
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• 2016

The objective of this study is to examine the impact of urban canopy and the horizontal resolution on simulated meteorological variables such as 10-m wind speed, 2-m temperature and precipitation using WRF model for a local, convective rainfall case. We performed four sensitivity tests by varying the use of urban canopy model (UCM) and the horizontal resolution, then compared the model results with observations of AWS network. The focus of our study is over the Seoul metropolitan area for a convective rainfall that occurred on 16 August 16 2015. The analysis shows that mean diurnal variation of temperature is better simulated by the model runs with UCM before the convective rainfall. However, after rainfall, model shows significant difference in air temperature among sensitivity tests depending on the simulated rainfall amount. The rainfall amount is significantly underestimated in 0.5 km resolution model run compared to 1.5 km resolution, particularly over the urban areas. This is due to earlier occurrence of light rainfall in 0.5 km resolution model. Earlier light rainfall in the afternoon eliminates convective instability significantly, which prevents occurrence of rainfall later in the evening. The use of UCM results in a higher maximum rainfall in the domain, which is due to higher temperature in model runs with urban canopy. Earlier occurrence of rainfall in 0.5 km resolution model is related to rapid growth of PBL. Enhanced mixing and higher temperature result in rapid growth of PBL, which provides more favorable conditions for convection in the 0.5 km resolution run with urban canopy. All sensitivity tests show dry bias, which also contributes to the occurrence of light precipitation throughout the simulation period.

• 대기
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• 제21권4호
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• pp.391-404
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• 2011

This study investigates the impact of cumulus parameterization scheme (CPS) with different horizontal grid sizes on the simulation of the local heavy rainfall case over the Korean Peninsula. The Weather Research and Forecasting (WRF)-based real-time forecast system of the Joint Center for High-impact Weather and Climate Research (JHWC) is used. Three CPSs are used for sensitivity experiments: the BMJ (Betts-Miller-Janjic), GD (Grell-Devenyi ensemble), and KF (Kain-Fritsch) CPSs. The heavy rainfall case selected in this study is characterized by low-level jet and low-level transport of warm and moist air. In 27-km simulations (DM1), simulated precipitation is overestimated in the experiment with BMJ scheme, and it is underestimated with GD scheme. The experiment with KF scheme shows well-developed precipitation cells in the southern and the central region of the Korean Peninsula, which are similar to the observations. All schemes show wet bias and cold bias in the lower troposphere. The simulated rainfall in 27-km horizontal resolution has influence on rainfall forecast in 9-km horizontal resolution, so the statements on 27-km horizontal resolution can be applied to 9-km horizontal resolution. In the sensitivity experiments of CPS for DM3 (3-km resolution), the experiment with BMJ scheme shows better heavy rainfall forecast than the other experiments. The experiments with CPS in 3-km horizontal resolution improve rainfall forecasts compared to the experiments without CPS, especially in rainfall distribution. The experiments with CPS show lower LCL(Lifted Condensation Level) than those without CPS at the maximum rainfall point, and weaker vertical velocity is simulated in the experiments with CPS compared to the experiments without CPS. It means that CPS suppresses convective instability and influences mainly convective rainfall. Consequently, heavy rainfall simulation with BMJ CPS is better than the other CPSs, and even in 3-km horizontal resolution, CPS should be applied to control convective instability. This conclusion can be generalized by conducting more experiments for a variety of cases over the Korean Peninsula.

• 한국방재안전학회논문집
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• 제8권2호
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• pp.21-26
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• 2015

본 연구는 강우 기간 동안에 불포화된 모형사면의 강우 침투로 흙 속에서의 다양한 조건인 간극 수압, 토압, 함수비의 변화에 대하여 조사하였으며 인공강우 장치에 의한 강우 재현으로 지반 내의 상태 변화에 따른 모형사면의 붕괴 예측에 대해서 분석하였다.

• 한국농공학회지
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• 제35권1호
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• pp.29-39
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• 1993

A model for estimating daily effective rainfall of upland crops was developed. The infiltration process was described by Green-Ampt infiltration model developed by Chu(1978). The model considers delayed surface ponding and surface detention storage under a uniform soil profile. The Green-Ampt parameters, that is, average hydraulic conductivity and average capillary pressure head on a sandy loam soil were determined from field experiment using Air-entry permeameter developed by Bouwer(1966). The model was verified by comparing measured and simulated surface runoff. The ratios of effective rainfall to total rainfall for red pepper, soybean, sesame and Chinese cabbage were evaluated using Borg's root growth model( 1986) respectively. The followings are a summary of this study results; 1.In a sandy loam soil average hydraulic conductivity was 3.28cm/hr and average capillary pressure head was 3.00cm. 2.The root growth of upland crops could be expressed by Borg's root growth model successively. 3.The measured and simulated surface runoff was agreed well with each other. 4.As the rainfall amount was increased, the ratio of effective rainfall to total rainfall was decreased exponentially till a certain growing period.

• 지질공학
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• 제18권4호
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• pp.523-535
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• 2008

강우재현장치를 제작하고, 강우 및 사면조건에 따라 강우재현 모형실험과 함수특성곡선실험(SWCC Cell Test)을 실시하여 불포화 특성에 관해 연구하였다. 그 결과를 이용하여 강우에 따른 침투거동 특성과 함수특성곡선 모델들의 불포화된 화강암질 풍화토에 대한 적용을 검토하였다. 강우재현 모형실험의 습윤과정(강우재현)과 건조과정(방치)에서 계측된 체적함수비와 모관흡인력을 비교한 결과 체적함수비는 $2{\sim}5%$, 모관흡인력은 $3{\sim}10\;kPa$ 정도 값의 차이를 보여 이력현상을 확인 할 수 있었다. 또한, 모관흡인력의 값이 체적함수비의 값에 비해 상대적으로 큰 차이를 보여 모관흡인력에 이력거동이 더 큼을 확인할 수 있었다. 강우재현 모형실험과 함수특성곡선실험에서 얻은 결과로부터 구한 함수특성곡선을 비교하면, 습윤과정과 건조과정에서 두 방법 모두 근접한 함수특성곡선을 얻을 수 있었으나, 두 방법 모두 습윤과정과 건조과정에서의 결과는 차이가 있었다. 이로써 불포화토의 특성을 고려한 보다 합리적인 설계나 안정검토에 함수특성곡선을 적용시킬 때에는 습윤과정에서는 습윤과정 함수특성곡선을 건조과정에서는 건조과정 함수특성곡선을 적용하는 것이 합당할 것으로 여겨진다.

• 한국환경과학회지
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• 제30권12호
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• pp.1053-1065
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• 2021

In this study, the prediction technology of Hydrological Quantitative Precipitation Forecast (HQPF) was improved by optimizing the weather predictors used as input data for machine learning. Results comparison was conducted using bias and Root Mean Square Error (RMSE), which are predictive accuracy verification indicators, based on the heavy rain case on August 21, 2021. By comparing the rainfall simulated using the improved HQPF and the observed accumulated rainfall, it was revealed that all HQPFs (conventional HQPF and improved HQPF 1 and HQPF 2) showed a decrease in rainfall as the lead time increased for the entire grid region. Hence, the difference from the observed rainfall increased. In the accumulated rainfall evaluation due to the reduction of input factors, compared to the existing HQPF, improved HQPF 1 and 2 predicted a larger accumulated rainfall. Furthermore, HQPF 2 used the lowest number of input factors and simulated more accumulated rainfall than that projected by conventional HQPF and HQPF 1. By improving the performance of conventional machine learning despite using lesser variables, the preprocessing period and model execution time can be reduced, thereby contributing to model optimization. As an additional advanced method of HQPF 1 and 2 mentioned above, a simulated analysis of the Local ENsemble prediction System (LENS) ensemble member and low pressure, one of the observed meteorological factors, was analyzed. Based on the results of this study, if we select for the positively performing ensemble members based on the heavy rain characteristics of Korea or apply additional weights differently for each ensemble member, the prediction accuracy is expected to increase.

• 대기
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• 제22권4호
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• pp.387-400
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• 2012

This study aims at examining the sensitivity of numerical simulations to the resolution of initial and boundary data, and to an application of WRF (Weather Research and Forecasting) 3DVAR (Three Dimension Variational data Assimilation). To do this, we ran the WRF model by using GDAS (Global Data Assimilation System) FNL (Final analyses) and the KLAPS (Korea Local Analysis and Prediction System) analyses as the WRF's initial and boundary data, and by using an initial field made by assimilating the radar data to the KLAPS analyses. For the sensitivity experiment, we selected a heavy rainfall case of 21 September 2010, where there was localized torrential rain, which was recorded as 259.5 mm precipitation in a day at Seoul. The result of the simulation using the FNL as initial and boundary data (FNL exp) showed that the localized heavy rainfall area was not accurately simulated and that the simulated amount of precipitation was about 4% of the observed accumulated precipitation. That of the simulation using KLAPS analyses as initial and boundary data (KLAPC exp) showed that the localized heavy rainfall area was simulated on the northern area of Seoul-Gyeonggi area, which renders rather difference in location, and that the simulated amount was underestimated as about 6.4% of the precipitation. Finally, that of the simulation using an initial field made by assimilating the radar data to the KLAPS using 3DVAR system (KLAP3D exp) showed that the localized heavy rainfall area was located properly on Seoul-Gyeonggi area, but still the amount itself was underestimated as about 29% of the precipitation. Even though KLAP3D exp still showed an underestimation in the precipitation, it showed the best result among them. Even if it is difficult to generalize the effect of data assimilation by one case, this study showed that the radar data assimilation can somewhat improve the accuracy of the simulated precipitation.

• 한국지반환경공학회 논문집
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• 제15권12호
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• pp.71-77
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• 2014

집중호우는 사면의 붕괴와 사회 기반시설물의 파괴 등을 포함하는 다수의 재해를 유발한다. 이러한 관점에서 강우재현 원심모형실험은 지반구조물의 안정성을 평가하기 위한 합리적인 수단이 될 수 있다. 원심모형실험에서 모형의 변위를 취득하기 위하여 일반적으로 LVDT 또는 레이저 변위계가 사용된다. 그러나 강우모사 시 LVDT는 모형지반으로의 과다 침윤의 문제가 있으며, 레이저 변위계는 레이저의 산란에 의해 계측치의 정확성이 저하된다. 따라서 본 연구에서는 강우재현 원심모형실험에 적용하기 위한 수평변위 계측장치를 개발하였다. 본 연구를 통하여 탄성의 박철판과 스트레인 게이지를 이용하여 제작된 본 장치는 관입을 위한 말단부를 고정시켜 수행한 검정 결과로부터 정확한 변위-변형률 관계를 나타냄을 확인하였다.

• 한국방재학회:학술대회논문집
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• 한국방재학회 2008년도 정기총회 및 학술발표대회
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• pp.501-504
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• 2008

A non-homogeneous markov model which is able to simulate hourly rainfall series is developed for estimating reliable hydrological variables. The proposed approach is applied to simulate hourly rainfall series in Korea. The simulated rainfall is used to estimate the design rainfall and compared to observations in terms of reproducing underlying distributions of the data to assure model's validation. The model shows that the simulated rainfall series reproduce a similar statistical attribute with observations, and expecially maximum value is gradually increased as number of simulation increase.

• 한국습지학회지
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• 제20권1호
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• pp.94-104
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• 2018

강우-유출 모의를 수행할 때 기상 및 강우관측소의 자료를 이용하는 것이 일반적이다. 그러나 유역면적이 클 경우 기상 및 강우관측소의 자료만으로 신뢰성 있는 유출량을 산정하기란 어렵다. 따라서 본 연구에서는 이용되는 강우자료에 따라 준분포형 모형에 의해 산정되는 유출량에 미치는 영향을 검토하기 위해 대상유역에 위치하고 있는 기상관측소의 강우자료, 기상 및 강우관측소의 강우자료, 크리깅 기법에 의해 기상 및 강우관측소의 강우자료를 공간적으로 분포시켜 얻은 가상지점의 관측 강우자료를 이용해 각 소유역의 면적 강우량을 산정하였다. 또한 각각의 강우자료들을 비교하였으며, 분포형 모형인 SWAT모형을 이용하여 각각의 강우자료에 따른 유출량을 비교 분석하였다. 본 연구는 공간 분포된 면적강우량을 이용해 산정된 유출량의 정확성을 검토하기 위한 것으로써 분석 결과, 공간 분포된 면적 강우량을 이용한 유출량이 기상 및 강우관측소의 강우량을 이용한 유출량보다 실제 유출량을 보다 더 잘 모의하는 것으로 나타났다. 이는 공간 분포된 강우가 실제 강우패턴을 가장 잘 반영한다고 할 수 있다.