Modeling risk analysis for forecasting peak discharge during flooding prevention and warning operation

Stochastic Environmental Research and Risk Assessment

Volumn 24, Issue 8, 2010, Pages 1175-1191

  Wu, Shiang Jen ^a   Lien, Ho Cheng ^a   Chang, Che Hao ^b  

^a NATIONAL CENTER FOR HIGH PERFORMANCE COMPUTING   (Taiwan)

^b NATIONAL TAIPEI UNIVERSITY OF TECHNOLOGY   (Taiwan)

Author keywords

Advance First Order and Second Moment; Exceedance probability; Rainfall characteristics; Spatiotemporal semi variogram

Indexed keywords

ANALYSIS MODELS; EXCEEDANCE PROBABILITY; FIRST-ORDER; FIRST-ORDER SECOND-MOMENT METHOD; MODEL APPLICATION; MODEL DEVELOPMENT; MODELING RISK; MONTE CARLO SIMULATION METHODS; PEAK DISCHARGE; PROBABILISTIC FORECASTS; RAINFALL CHARACTERISTICS; RAINFALL DEPTHS; RAINFALL-RUNOFF MODELS; SEMIVARIOGRAMS; SHIH-MEN RESERVOIR; STUDY AREAS; UNCERTAINTY FACTORS;

COMPUTER SIMULATION; FORESTRY; GEOLOGIC MODELS; MONTE CARLO METHODS; RAIN; RISK ANALYSIS; RUNOFF; SENSITIVITY ANALYSIS; SOIL MOISTURE; STORMS; UNCERTAINTY ANALYSIS;

RISK ASSESSMENT;

BASIN ANALYSIS; COMPUTER SIMULATION; EARLY WARNING SYSTEM; FLOOD FORECASTING; FLOODING; MONTE CARLO ANALYSIS; MULTIVARIATE ANALYSIS; NUMERICAL MODEL; PEAK DISCHARGE; PROBABILITY; RAINFALL-RUNOFF MODELING; RISK ASSESSMENT; UNCERTAINTY ANALYSIS; VARIOGRAM;

SHIHMEN RESERVOIR; TAIWAN;

CITRUS MAXIMA;

EID: 78650076202     PISSN: 14363240     EISSN: 14363259     Source Type: Journal    
DOI: 10.1007/s00477-010-0436-6     Document Type: Article

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