ScholarWorks@Hongik: Kim, Dong Kyun

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Kim, Dong Kyun (김동균)

Engineering (Civil and Environmental Engineering)

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MBLRP:7||Sentinel1:6||Poisson cluster:5||Climate change:5||XPSWMM:4||Radar:4||Urban flood:4||포아송 클러스터:4||Deep learning:3||VIC model:3||Synthetic Aperture Radar (SAR):3||GPA:3||Optimization:3||precipitation:3||LSTM:3||Machine learning:3||레이더:3||Stochastic:2||Precipitation:2||Modified BartlettLewis rectangular pulse model:2||Stream:2||BartletLewis:2||uncertainty analysis:2||downscaling:2||인공신경망:2||인공위성:2||ROC:2||GCM:2||입자군집최적화:2||Lee Sallee Shape Index:2||TOPMODEL:2||Thiessen:2||Lognormal distribution:2||최적화:2||강우:2||Threshold:2||GEV:2||Satellite:2||Radar rainfall:2||토양수분:2||평가지표:2||GLO:2||Rainfall:2||GLUE:2||Uncertainty:2||Kmean:2||멀티프랙탈:2||기후변화:2||multifractal:2||Shape Memory Alloys:2||Shape Memory Effect:2||Ordinary Kriging:2||Watershed:2||Bridge scour:2||Conditional Merging:2||AMSRE:2||Snow depth:2||Antimicrobial activity:2||Soil moisture:2||rainfall:2||Drought:2||PlanetScope:2||DSM:2||Extreme rainfall:2||External Jacket:1||Extreme flood:1||Flood Analysis:1||Flood Warning:1||Flood inundation map:1||Flood susceptibility:1||Flood warning:1||Flow discharge:1||Flow measurement:1||Flow prediction:1||Flushing parameters:1||Forecast:1||Frequency:1||Frequency Analysis:1||GALDIT:1||Generalized Pareto distribution:1||Groundradar rainfall ratio:1||Hawaiʻi:1||Hierarchical Bayesian model:1||Histogram matching:1||Holistic approach:1||Hourly rainfall field:1||Hybrid system:1||Hydraulic flushing:1||Hydrologic model:1||Hydrology:1||ISODATA:1||Indexoverlay methods:1||Inundation Trace Map:1||Knearest neighbors (KNN):1||KBest selection:1||Korean Eastern Coast:1||Korean MultiPurpose Satellite:1||Kriging:1||Lmoment:1||L모멘트:1||LN3:1||Lake Päijänne:1||Land Surface Model:1||Land data assimilation:1||Landsat:1||Long shortterm memory:1||LongTerm Prediction:1||MODFLOW3D:1||MODIS:1||MODIS snowcoverage:1||Machine learning (ML):1||Machine learning models:1||Machine learningbased models:1||Markov chain:1||Maximum snow depth:1||Mean areal precipitation:1||Mechanical properties:1||Meteorological radar:1||Multisite:1||Multisource observations:1||Multitemporal forecasting:1||Multivariate variational mode decomposition:1||NEXRAD Stage IV:1||Nakdong River:1||NeymanScott rectangular pulse model:1||NoahMP:1||Normal distribution:1||Observation method:1||Open channel flow:1||Optimize weights:1||Optimum threshold classification:1||Orifice:1||Outlier correction:1||Parameterization:1||Particle Swarm Optimization:1||Piecewise KernelPareto distribution:1||Poisson cluster rainfall model:1||Poisson cluster rainfall simulation:1||Power Function type Model:1||Predictions:1||Probability:1||Probability plot correlation coefficient test:1||RESCON model:1||ROC analysis:1||ROC 분석:1||Radar applications:1||Radar detection:1||Rain:1||Rain Gauge:1||Rainfall disaggregation:1||Rainfall downscaling:1||Rainfall generation:1||Rainfall generation model:1||Rainfall simulation:1||Rainfall simulator:1||Rainfall temporal variability:1||Rainfall threshold:1||Rainfall variability:1||Rainfallrunoff model:1||Realtime assessment:1||Reference evapotranspiration:1||Reflectivity:1||Regionalization:1||Regularize random forest (RRF):1||Reinforcing Fiber:1||Remote sensing:1||Remotely sensed soil moisture:1||Risk assessment:1||River:1||RungeKutta method:1||SRAT model:1||SRAT 모형:1||SAR:1||SIF observation operator:1||SRM:1||Sangju weir:1||Satellite Image:1||Scour:1||Scourcritical bridges:1||Seawater desalination:1||Seawater intrusion:1||Sedimentation hazard:1||Selective area filtering:1||Severity:1||Shared socioeconomic pathways (SSPs) scenarios:1||ShortTerm Prediction:1||Shortest Pplane Ddistance:1||Simple optimal estimation:1||Skin irritation:1||Soil Moisture:1||Soil moisture biascorrection model:1||South Asia:1||Soyang river dam:1||Spatial Analysis:1||Spatial variability:1||Standardized runoff index (SRI):1||Stochastic model:1||Stochastic rainfall model:1||Stochastic snow model:1||Stream discharge:1||Subhourly rainfall:1||Surge Vessel:1||Suspended sediment load:1||Synthetic Aperture Radar(SAR):1||Temporal Analysis:1||Thiessen polygon:1||Time dependence:1||Time series analysis:1||Timedependent scour depth:1||Timescale:1||Tsunami runup height:1||Turbulence:1||UAV:1||Urban Flood:1||VIC 모형:1||Vulnerability:1||Warning:1||Water Hammer:1||Water resources:1||Water scarcity:1||Watersoluble glass frit:1||Watersheds:1||Weather generation:1||Weight:1||Whale optimization:1||Wildfire susceptibility mapping:1||Wind Power Forecasting:1||Zinc oxide nanostructure:1||aquifer:1||biogeomorphological conceptual model:1||biogeomorphological feedback:1||biogeomorphology:1||bivariate frequency analysis:1||change detection:1||climate change:1||convectionpermitting model:1||copula functions:1||design flood:1||design rainfall:1||digital elevation model:1||drone:1||drought risk:1||dynamics:1||elevationdischarge relationship:1||extremes:1||flood:1||flooding:1||fluvial biogeomorphology:1||flux tower:1||fractal:1||frequency analysis:1||functionally graded materials:1||generalized likelihood uncertainty estimation:1||ground control points:1||groundwater:1||habitat:1||higher order shear deformation theory:1||hydrologic modeling:1||hydrology:1||interaction:1||machine learning:1||multitemporal:1||nonlinear vibration:1||optimization:1||outlier detection:1||parameter map:1||particle swarm optimization:1||photogrammetry:1||poisson cluster:1||postclassification comparison:1||power law:1||quality control:1||radar:1||radar rainfall data:1||runoff:1||sandwich plate:1||snow:1||snowmelt:1||solar insolation:1||spacetime data:1||spacetime rainfall field:1||spatial rainfall:1||spectral analysis:1||statistical approach:1||streamflow:1||synthetic rainfall:1||temporal trajectory analysis:1||tracking:1||urban drainage:1||urban watersheds:1||weather radar:1||web application:1||wetland:1||wetlands:1||가뭄 위험도:1||가상강우:1||가중치:1||강우유출 모형:1||강우생성모형:1||경보:1||공간 분석:1||극한강우:1||극한홍수:1||대수층:1||도시 배수:1||도시홍수:1||딥러닝:1||멱함수형태 모형:1||면적강우:1||면적평균강우:1||모드플로우3D:1||모수지도:1||베이지안:1||불확실도 분석:1||불확실성:1||비:1||빈도분석:1||상세화:1||상호작용:1||생물지형학:1||생물지형학적 개념 모델:1||생물지형학적 되먹임:1||생태:1||서지탱크:1||소양강댐:1||수문학:1||수자원:1||수충격:1||습지:1||시공간 격자 강우장:1||에너지 안전도:1||예보:1||오리피스:1||우량계:1||원격탐사:1||원격탐사기법:1||웹 어플리케이션:1||위성영상:1||유량:1||유량예측:1||유량추정:1||이변량 빈도해석:1||인공지능:1||일최심신적설:1||전력비:1||정규 크리깅:1||조건부 병합:1||조건부 합성 기법:1||지표해석모형:1||지하수:1||추적:1||축소기법:1||침수 분석:1||침수흔적도:1||크리깅 기법:1||평면최단거리:1||표면도달일사량:1||프랙탈:1||하천:1||하천생물지형학:1||합성개구레이더:1||해수담수:1||호우피해 예측지도:1||홍수:1||확률강우량:1||<italic xmlns:ali=http://www.niso.org/schemas/ali/1.0/ xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink xmlns:xsi=http://www.w3.org/2001/XMLSchemainstance>Deep Learning</italic>:1||확률홍수량:1||<italic xmlns:ali=http://www.niso.org/schemas/ali/1.0/ xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink xmlns:xsi=http://www.w3.org/2001/XMLSchemainstance>Distributed Hydrologic Model</italic>:1||<italic xmlns:ali=http://www.niso.org/schemas/ali/1.0/ xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink xmlns:xsi=http://www.w3.org/2001/XMLSchemainstance>Hydrology</italic>:1||<italic xmlns:ali=http://www.niso.org/schemas/ali/1.0/ xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink xmlns:xsi=http://www.w3.org/2001/XMLSchemainstance>LSTM</italic>:1||<italic xmlns:ali=http://www.niso.org/schemas/ali/1.0/ xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink xmlns:xsi=http://www.w3.org/2001/XMLSchemainstance>Machine Learning</italic>:1||<italic xmlns:ali=http://www.niso.org/schemas/ali/1.0/ xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink xmlns:xsi=http://www.w3.org/2001/XMLSchemainstance>Radar Precipitation</italic>:1||1/f(alpha) noise:1||AMSR2:1||Accuracy criteria:1||Active Confinement:1||Analytical hierarchy process (AHP):1||Anomaly detection:1||Antifouling effect:1||Aquifer vulnerability assessment:1||Areal rainfall:1||Areal rainfall estimation:1||Areal reduction factor:1||Artificial Neural Network:1||Artificial intelligence:1||Artificial neural network:1||Artificial neural networks:1||BartlettLewis:1||Bayesian:1||Bivariate:1||Black widow optimization:1||Bond:1||Bond Resistance:1||Bridge scour assessment:1||Bridges:1||British Colombia water quality index (BCWQI):1||Butterfly optimization:1||COMS:1||Central limit theorem:1||Climate Dynamics:1||Computational modeling:1||Conditional inference random forest (CIRF):1||Conditional merging:1||Conditional merging technique:1||Confidence interval:1||Convolutional neural network:1||Copula:1||Copula 함수:1||Cytotoxicity:1||Daily rainfall:1||Dam operation:1||Data Representation:1||Data models:1||Debris accumulation:1||Decision tree (DT):1||Deep Learning:1||Depth:1||Disaggregation:1||Discharge estimation:1||Discharges (electric):1||Distributed databases:1||Downscaling:1||Drought forecasting:1||Early flood warning:1||Earthquake:1||Electric power:1||Elution behavior:1||Energy safety:1||Environment index:1||Evaluation index:1||

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