• 대기
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• 제23권1호
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• pp.23-32
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• 2013

Ensemble sensitivity has been recently proposed as a method to analyze the dynamics of severe weather events. We adopt it to investigate the physical mechanism which caused the heavy rainfall over the Korean Peninsula on 6th August 2003. Two rainfall peaks existed in this severe weather event. The selected response functions are 1 hour accumulated rainfall amount of each rainfall peak. Sensitivity fields were calculated using 36 ensemble members which were generated by WRFDA. The sensitive regions for the first rainfall peak are located over the Shandong Peninsula and the Yellow Sea at 12 hours before the first rainfall peak. However, the 12-h forecast sensitivity for the second rainfall peak is revealed near Typhoon ETAU (0310) and midlatitude trough. These results show that the first rainfall peak was induced by low pressure which located over the northern part of the Korean Peninsula while the second rainfall peak was caused by the interaction between typhoon ETAU and midlatitude trough.

• 산업기술연구
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• 제31권A호
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• pp.71-78
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• 2011

As the need for predicting the flood stage of river from torrential downpouring caused by climate change is increasingly emphasized, the study, centered on the area of Gangwon-do Inje-gun and Jeongseon-gun of local river, is to develop peak water level regression equation by rainfall. Through the correlation between rainfall and peak water level, it is confirmed that rainfall according to duration and peak water level have a high correlation coefficient. Based on this, a relational expression of rainfall and peak water level is verified and then the adequacy of the calculated expression is analyzed and the result shows that a very accurate prediction is not easy to achieve but a rough prediction of the change of water level at each point is possible.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2011년도 학술발표회
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• pp.154-159
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• 2011

As the need for predicting the flood stage of river from torrential downpouring caused by climate change is increasingly emphasized, the study, centered on the area of Gangwon-do Inje-gun and Jeongseon-gun of local river, is to develop peak water level regression equation by rainfall. Through the correlation between rainfall and peak water level, it is confirmed that rainfall according to duration and peak water level have a high correlation coefficient. Based on this, a relational expression of rainfall and peak water level is verified and then the adequacy of the calculated expression is analyzed and the result shows that a very accurate prediction is not easy to achieve but a rough prediction of the change of water level at each point is possible.

• 한국수자원학회논문집
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• 제34권1호
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• pp.67-80
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• 2001

본 연구에서는 기존에 널리 사용되고 있는 설계강우의 시간분포모형인 Mononobe 분포법, Yen과 Chow 분포법, Huff 분포법과 heifer와 Chu 분포법을 강우-유출모형인 SCS 방법, Nakayasu 방법과 Clark 방법에 적용하여 최대 유출상황을 발생시키는 설계강우 시간분포모형을 결정하였다. 각 강우-유출모형에 균등강우강도를 적용한 경우를 기준으로 하여 첨두유량의 변동성을 검토하였다. 대상유역에 적용한 강우-유출모형의 결과를 분석하여 유역별 및 강우-유출모형별로 최대 유출상황을 발생시키는 설계강우의 시간분포모형을 정리한 결과 전체적으로 Yen과 Chow 분포법의 후방집중형으로 나타났다. 결정된 시간분포모형을 바탕으로 지속기간의 변화에 따른 첨두유량의 변동성을 파악한 결과 확률강우강도식의 형태에 따라 최대유량을 발생시키는 지속기간에 변동성이 보여지고 있으며, 강우-유출모형에 의한 영향보다는 확률강우강도식의 형태와 I-D-F곡선에 따라 첨두유량의 변동성이 크게 나타났다.

• 한국수자원학회논문집
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• 제43권7호
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• pp.635-643
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• 2010

작은 규모 유역의 홍수 유출량을 산출하기 위해서 유역을 대표하는 하나의 단위유량도를 많이 적용해 왔다. 이 때 단위유량도의 첨두유량과 첨두 발생시간은 단위유량도를 결정하는 특성치로 취급된다. 본 연구에서는 국내에서 $8.5\;km^2$ 정도의 소규모 유역에서도 강우 사상별로 단위유량도의 첨두유량과 발생시간은 상당히 변동되는 것을 보이고 분석하였다. 그리고 동일 소유역에서 단위유량도 변동의 주요인으로 강우 사상별 평균 강우강도라고 보고 강우 사상별 강우강도와 단위유량도의 첨두유량 및 발생시간의 관계를 각각 지수함수식으로 제시하였다. 결과적으로 사용 자료상의 제약 등으로 단위유량도 첨두치에상당한 분산을 동반하는 한계는있지만 연구된 대로 단위유량도의첨두유량 및 첨두 발생시간과 강우의 평균적인 회귀 관계는 단위유량도 이론의 보완적 측면에서 수문학적 가치를 갖는다.

• 상하수도학회지
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• 제14권3호
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• pp.251-259
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• 2000

In this study, the urban runoff models, ILLUDAS model and SWMM, are analyzed the probable peak discharge and discharge using rainfall distribution by Huff's method at Bum-uh chun area in Taegu city. The probability rainfall and intensity is analyzed by Pearson-III type. The rainfall duration, 90 minutes, is determined by the critical duration computed the maximun peak discharge for some rainfall durations. The peak discharge according to Huff's rainfall distribution types compute in order of type 3, type 4, type2, and type 1, so Huff's 3 type is selected as an adequate rainfall distribution in Bum-uh chun basin. ILLUDAS model and SWMM are shown as good models in Bum-uh chun, but SWMM is computed higher peak discharge than ILLUDAS model, so SWMM is shown as the adequate urban runoff model for the design of interior drainage in urban basin.

• 한국수자원학회논문집
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• 제50권6호
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• pp.359-371
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• 2017

본 연구에서는 안동댐유역을 대상으로 분포형 모형과 미계측유역 자료생성방법인 공간확장자료 생성방법을 사용하여 47개 미계측유역에 대해 홍수유출 시계열자료를 생성하고 3개 관측유역을 포함한 총 50개 유역에 대해 첨두유량을 추출하여 분석함으로써 강우의 공간분포가 유출에 미치는 영향을 실제유역과 실제사상에 대해 자세히 분석하였다. 20개 사상에 대해 GRM 모형의 매개변수 보정 및 검증결과 적절한 모형효율 통계결과를 얻었다. 이 추정된 매개변수와 실제강우(강우의 공간분포를 고려한 강우) 및 공간평균강우(실제강우를 공간적으로 평균한 강우)를 사용하여 50개 유역의 홍수유출 시계열자료를 생성하였으며 이 시계열 자료 중 첨두유량을 추출하여 분석한 결과 공간평균강우에 의한 첨두유량의 분포는 실제강우에 의한 첨두유량의 분포와 차이가 있었다. 강우의 분포가 유역전반에 비슷한 경우에는 실제강우와 공간평균강우에 의한 첨두유량의 분포가 비슷하거나 약간의 차이가 있었다. 하지만 호우가 상류 또는 하류방향으로 이동하거나 강우가 무작위로 분포되는 경우에는 공간평균강우에 의한 첨두유량의 분포가 실제강우에 의한 첨두유량의 분포보다 크게 좁아지는 것을 보였다. 이러한 사상의 비율을 조사한 결과 강우의 공간적 변동성을 고려하지 않고 홍수유출을 모의한다면 약 35%의 사상에 대해서는 적절하지 않은 첨두유량 모의결과를 얻을 수 있는 것으로 조사되었다. 따라서 홍수량 산정 또는 수자원 설계 시 강우의 시간분포 뿐만 아니라 공간분포 또한 고려해야 한다. 계측유역과 미계측유역의 첨두유량의 관계를 조사한 결과 낙동강 지류들에 위치한 미계측유역들의 첨두유량들은 그 크기가 넓게 분포됨에 따라 계측유역의 첨두유량을 사용하여 생성한 power law 관계를 이 미계측유역들의 첨두유량 추정 시 사용할 수 없었다. 또한 계측유역들의 첨두유량 또는 미계측유역 중 상하류로 연결된 비독립적인 소유역들의 첨두유량간에는 power law 가 존재하였으나 낙동강 지류들에 위치한 독립된 소유역들의 첨두유량들 간에는 상관관계가 없었다.

• 한국환경과학회지
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• 제24권4호
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• pp.437-447
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• 2015

Estimation of runoff peak is needed to assess water availability, in order to support the multifaceted water uses and functions, hence to underscore the modalities for efficient water utilization. The magnitude of storm rainfall acts as a primary input for basin level runoff computation. The rainfall-runoff linkage plays a pivotal role in water resource system management and feasibility level planning for resource distribution. Considering this importance, a case study has been carried out in the Hancheon basin of Jeju Island where distinctive hydrological characteristics are investigated for continuous storm rainfall and high permeable geological features. The study aims to estimate unit hydrograph parameters, peak runoff and peak time of storm rainfalls based on Clark unit hydrograph method. For analyzing observed runoff, five storm rainfall events were selected randomly from recent years' rainfall and HEC-hydrologic modeling system (HMS) model was used for rainfall-runoff data processing. The simulation results showed that the peak runoff varies from 164 to 548 m3/sec and peak time (onset) varies from 8 to 27 hours. A comprehensive relationship between Clark unit hydrograph parameters (time of concentration and storage coefficient) has also been derived in this study. The optimized values of the two parameters were verified by the analysis of variance (ANOVA) and runoff comparison performance were analyzed by root mean square error (RMSE) and Nash-Sutcliffe efficiency (NSE) estimation. After statistical analysis of the Clark parameters significance level was found in 5% and runoff performances were found as 3.97 RMSE and 0.99 NSE, respectively. The calibration and validation results indicated strong coherence of unit hydrograph model responses to the actual situation of historical storm runoff events.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2007년도 학술발표회 논문집
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• pp.1798-1802
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• 2007

The practice of business estimate flood discharge by rainfall-flow relation that is easy collection of observation data. The important factor is rainfall, coefficient of runoff, and drainage area for analysis of runoff-flow relation.The practice of business usually use probability rainfall that use a weighted average value after each observation post estimate probability of non-same time. It has more error than same time probability rainfall, and it can excess of estimation because it can't consider space distribution of rainfall.The study of result showed similar aspect with existing ARF but width of coefficient become smaller. And the comparison of peak flow did not different what used by ARF and same time probability rainfall(A group). But non-same time probability rainfall is bigger 25% more than another(B group). Between A group and B group of the difference increased with the lapse of time.

• 산업기술연구
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• 제27권A호
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• pp.95-102
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• 2007

The practice of business estimate flood discharge by rainfall-flow relation that is easy collection of observation data. The important factor is rainfall, coefficient of runoff, and drainage area for analysis of runoff-flow relation. The practice of business usually use probability rainfall that use a weighted average value after each observation post estimate probability of non-same time. It has more error than same time probability rainfall, and it can excess of estimation because it can't consider space distribution of rainfall. The study of result showed similar aspect with existing ARF but width of coefficient become smaller. And the comparison of peak flow did not different what used by ARF and same time probability rainfall(A group). But non-same time probability rainfall is bigger 25% more than another(B group). Between A group and B group of the difference increased with the lapse of time.