해빈 단면의 지형변화 모의를 위한 Delft3D 내의 표사이동 관련 매개변수의 민감도 분석
Sensitivity Analysis of Sediment Transport Scaling Factors on Cross-Shore Beach Profile Changes using Deflt3D
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참고문헌
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초록
본 연구에서는 강원도 맹방해변을 대상으로 Delft3D 지형변화모듈 내의 표사이동 관련 매개변수(fBED , fBEDW ,fSUSW)가 지형변화 모의 결과에 미치는 영향을 검토하였다. 맹방해변 해역에서 2018년도에 관측한 1년 간의 파랑자료 를 외력으로 적용하고, 동년도 1월과 10월에 관측한 수심자료는 각각 초기 지형자료와 년간 지형변화 자료로 사용 하였다. 모델의 지형변화 모의성능은 계산영역 내의 임의의 한 단면을 연안역과 외해역 구간으로 구분하고, 각 영역 에 대해 Brier Skill Score 지표에 근거하여 평가하였다. 그 결과 f BED 변수가 지형변화 모의 결과에 미치는 영향은 미약하다는 것을 알 수 있었다. f BEDW 와 f SUSW 변수는 그 값이 0.5 이하일 때는 연안역에 대해 좋은 모의 성능을 보이 고, 반대의 경우에는 외해역에 대해 좋은 성능을 보이는 것으로 나타났다. 실험조건 중 연안역에 대해 가장 좋은 성 능을 보인 변수 조합은 f BED = 1.0, f BEDW = 1.0, f SUSW = 0.1이고, 외해역에 대해서는 f BED = 1.0, f BEDW = 1.0, f SUSW = 0.5이 었다. 그러나, 이 조합은 맹방해변 2018년도 자료에 근거하여 산출된 값이므로, 타해역에 적용할 때는 주의가 필요 할 것으로 판단된다.
Abstract
In this study, sensitivity analysis of sediment transport scaling factors in Delft3D-Morphology was performed to examine the effect those parameters on simulation results of cross-shore profile changes. For numerical experiments, one-year wave time series data which were observed in 2018 on the Maengbang coast in Gangwon prefecture were applied as external force. Bathymetric data observed in January and October of the same year were used as initial bathymetric data and annual bathymetric change data, respectively. The simulation performance of the model was evaluated based on the Brier Skill Score index for each part by dividing an arbitrary cross section within the calculation domain into the onshore and offshore parts. As a result, it was found thet the f BED variable has a slight effect on the simulation results. The f BEDW and f SUSW variables show good simulation performance in onshore part when the value less than 0.5 is applied and vice versa. Among the experimental conditions, the optimal combinations of variables are f BED = 1.0, f BEDW = 1.0, f SUSW = 0.1 for the onshore region and f BED = 1.0, f BEDW = 1.0, f SUSW = 0.5 for the offshore region. However, since these combinations were derived based on the observation data on Maengbang beach in 2018, users should be careful when applying those results to other areas.
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