Uncertainty Assessment of Single Event Rainfall-Runoff Model Using Bayesian Model
نویسندگان
چکیده
منابع مشابه
Single-Model-Bootstrap Applied to Neural Network Rainfall-Runoff Forecasting
Most neural network hydrological modelling has used split-sample validation to ensure good out-of-sample generalisation and thus safeguard each potential solution against the danger of overfitting. However, given that each sub-set is required to provide a comprehensive and sufficient representation of both environmental inputs and hydrological processes, then to partition the data could create ...
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Results of further evaluation tests of a monthly rainfall-runoff model used for extending streamflow data records in England and Wales are presented. In particular, since the objective of the record extension exercise was to make available long enough data records for reservoir yield assessment, model performance in reproducing the reservoir storage-yield-reliability relationship during calibra...
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Abstract In this study, the predicted monthly temperature and rainfall data from HadCM3 model (base period, ۱۹۷۲-۲۰۰۱) and next period (۲۰۱۱-۲۰۴۰) under A2emission scenario were used to investigate the impacts of climate change on runoff variations in the Kor river basin. HadCM3 model output was downscaled based on a temporal downscaling approach (Change Factor) and spatial downscaling appro...
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ژورنال
عنوان ژورنال: Journal of Korea Water Resources Association
سال: 2012
ISSN: 1226-6280
DOI: 10.3741/jkwra.2012.45.5.505