Browse "Dept. of Civil and Environmental Engineering(건설및환경공학과)" by Author Lee, Deuk-Hwan
Showing results 1 to 19 of 19
| A Citywide Real-Time Landslide Early Warning System based on Stepwise Application of Multiple Thresholds: Preliminary Results Lee, Seung-Rae; Park, Joon-Young; Kang, Sinhang; Lee, Deuk-Hwan; Nikhil N.V., 2016 International Conference on Landslide and Debris Flow Disaster, Korean Society of Hazard Mitigation, 2016-12-16 |
| A method to develop the input parameter database for site-specific debris flow hazard prediction under extreme rainfall Vasu, Nikhil Nedumpallile; Lee, Seung-Rae; Lee, Deuk-Hwan; Park, Joonyoung; Chae, Byung-Gon, LANDSLIDES, v.15, no.8, pp.1523 - 1539, 2018-08 |
| A regional-scale landslide early warning methodology applying statistical and physically based approaches in sequence Park, Joon-Young; Lee, Seung-Rae; Lee, Deuk-Hwan; Kim, Yune-Tae; Lee, Ji-Sung, ENGINEERING GEOLOGY, v.260, 2019-10 |
| A STUDY OF THE COMBINATION OF RISK ANALYSIS WITH A CITYWIDE LANDSLIDE EARLY WARNING SYSTEM Park, Jun-Young; Lee, Seung-Rae; Lee, Deuk-Hwan; Choi, Guo-Moon, 11th International Conference on Risk Analysis and Hazard Mitigation, WESSEX INSTITUTE ADVANCING INTERNATIONAL KNOWLEDGE TRANSFER, 2018-06-07 |
| A Two-Stage Real-Time Landslide Warning System Based on Temporal and Spatial Assessment Models in Busan, Korea Lee, Deuk-Hwan; Lee, Seung-Rae; Park, Joon-Young; Nikhil, NV; Kang, Sinhang; Kim, Yun-Tae, International Conference on Computational & Experimental Engineering and Science (ICCES2017), ITeCons - Institute for Research and Technological Development in Construction, Energy, Environment and Sustainability, 2017-06-28 |
| An artificial neural network model to predict debris-flow volumes caused by extreme rainfall in the central region of South Korea Lee, Deuk-Hwan; Cheon, Enok; Lim, Hwan-Hui; Choi, Shin-Kyu; Kim, Yun-Tae; Lee, Seung-Rae, ENGINEERING GEOLOGY, v.281, pp.105979, 2021-02 |
Assessment of barrier location effect on debris flow based on smoothed particle hydrodynamics (SPH) simulation on 3D terrains Choi, Shin-Kyu; Park, Joon-Young; Lee, Deuk-Hwan; Lee, Seung-Rae; Kim, Yun-Tae; Kwon, Tae-Hyuk, LANDSLIDES, v.18, no.1, pp.217 - 234, 2021-01 |
| Classification of Granite Soils and Prediction of Soil Water Content Using Hyperspectral Visible and Near-Infrared Imaging Lim, Hwan-Hui; Cheon, Enok; Lee, Deuk-Hwan; Jeon, Jun-Seo; Lee, Seung-Rae, SENSORS, v.20, no.6, 2020-01 |
| Determination of average growth rate based on statistical relationships using geomorphological and geotechnical variables in predictive debris flow simulations Park, Joon-Young; Yoon, Seok; Lee, Deuk-Hwan; Lee, Seung-Rae; Lim, Hwan-Hui, GEOMORPHOLOGY, v.444, 2024-01 |
| DeterminationofSoilWaterContentbyHyperspectralCameraand RegressionAnalysisinWeatheredGraniteSoils Lim, Hwan-Hui; Lee, Seung-Rae; Kwon, Tae-Hyuk; Lee, Deuk-Hwan; Park, Joon-Young; Kim, Yun-Tae, European Geoscience Union (EGU), European Geoscience Union (EGU), 2019-04-10 |
| Development of an initiation criterion for debris flows based on local topographic properties and applicability assessment at a regional scale Kang, Sinhang; Lee, Seung-Rae; Vasu, Nikhil N.; Park, Joon-Young; Lee, Deuk-Hwan, ENGINEERING GEOLOGY, v.230, pp.64 - 76, 2017-11 |
| Development of hazard assessment framework for Debris-flow induced by shallow landslide under extreme rainfall = 극한 강우 시 산사태에 의해 유발되는 토석류 위험 평가 체계 개발link Lee, Deuk-Hwan; Lee, Seung-Rae; et al, 한국과학기술원, 2020 |
| Estimation of debris-flow volumes by an artificial neural network model Lee, Deuk-Hwan; Lee, Seung-Rae; Jeon, Jun-Seo; Park, Jun-Young; Lim, Hwan-Hui; Kim, Yun-Tae, 7th International Conference on Debris-Flow Hazards Mitigation (DFHM7), 7th International Conference on Debris-Flow Hazards Mitigation (DFHM7), 2019-06-12 |
| Hazard Assessment Based on the Combination of DAN3D and Machine Learning Method for Planning Closed-Type Barriers against Debris-Flow Cheon, Enok; Lee, Seung-Rae; Lee, Deuk-Hwan, WATER, v.12, no.1, pp.170, 2020-01 |
| Landslide susceptibility assessment applying artificial neural network and support vector machine methods to Mt. Umyeon, Korea Lee, Deuk-Hwan; Lee, Seung-Rae; Park, Jun-Young; Lim, Hwan-Hui, European Geoscience Union (EGU), European Geoscience Union (EGU), 2019-04-10 |
| Shallow Landslide Susceptibility Models Based on Artificial Neural Networks Considering the Factor Selection Method and Various Non-Linear Activation Functions Lee, Deuk-Hwan; Kim, Yun-Tae; Lee, Seung-Rae, REMOTE SENSING, v.12, no.7, 2020-04 |
| Spatial and Temporal Performance Assessment of Landslide Early Warning System in Busan, Korea Lee, Seung-Rae; Park, Joon-Young; Lee, Deuk-Hwan, The 2nd Korea-India Geotechnical Engineering Workshop, Korean Geotechnical Society(KGS) & Indian Geotechnical Sosiety(IGS), 2017-09-21 |
| 극한강우 산사태 지수와 I-D 규준의 중첩사용을 통한 부산 지역 산사태 초등 예보 기법 Park, Joon-Young; Lee, Seung-Rae; Kim, Yun-Tae; Lee, Deuk-Hwan; Lee, Ji-Sung, 2017 한국지반공학회 봄학술발표회, 한국지반공학회, 2016-03-17 |
| 토석류 예측 모델링을 위한 유변학적 매개변수의 확률론적 해석 = Probabilistic analysis of rheological parameters for debris-flow predictive modelinglink 이득환; Lee, Deuk-Hwan; et al, 한국과학기술원, 2016 |
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