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• W2239521567 startingPage "20" @default.
• W2239521567 abstract "A major structural inconsistency of the traditional curve number (CN) model is its dependence on an unstable fixed initial abstraction, which normally results in sudden jumps in runoff estimation. Likewise, the lack of pre-storm soil moisture accounting (PSMA) procedure is another inherent limitation of the model. To circumvent those problems, we used a variable initial abstraction after ensembling the traditional CN model and a French four-parameter (GR4J) model to better quantify direct runoff from ungauged watersheds. To mimic the natural rainfall-runoff transformation at the watershed scale, our new parameterization designates intrinsic parameters and uses a simple structure. It exhibited more accurate and consistent results than earlier methods in evaluating data from 39 forest-dominated watersheds, both for small and large watersheds. In addition, based on different performance evaluation indicators, the runoff reproduction results show that the proposed model produced more consistent results for dry, normal, and wet watershed conditions than the other models used in this study." @default.
• W2239521567 created "2016-06-24" @default.
• W2239521567 creator A5017321640 @default.
• W2239521567 creator A5025803003 @default.
• W2239521567 creator A5031317974 @default.
• W2239521567 date "2016-01-15" @default.
• W2239521567 modified "2023-09-26" @default.
• W2239521567 title "A CN-Based Ensembled Hydrological Model for Enhanced Watershed Runoff Prediction" @default.
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• W2239521567 doi "https://doi.org/10.3390/w8010020" @default.
• W2239521567 hasPublicationYear "2016" @default.
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