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Comparing sensitivityanalysis methods toadvance lumpedwatershed modelidentification andevaluation Yong TangPatrick M. ReedThorsten Wagener2007 год

Comparing sensitivity analysis methods to advance lumped watershed model identification and evaluation
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Аннотация: Abstract. This study seeks to identify sensitivity tools that will advance our understanding of lumped hydrologic models for the purposes of model improvement, calibration efficiency and improved measurement schemes. Four sensitivity analysis methods were tested: (1) local analysis using parameter estimation software (PEST), (2) regional sensitivity analysis (RSA), (3) analysis of variance (ANOVA), and (4) Sobol's method. The methods' relative efficiencies and effectiveness have been analyzed and compared. These four sensitivity methods were applied to the lumped Sacramento soil moisture accounting model (SAC-SMA) coupled with SNOW-17. Results from this study characterize model sensitivities for two medium sized watersheds within the Juniata River Basin in Pennsylvania, USA. Comparative results for the 4 sensitivity methods are presented for a 3-year time series with 1 h, 6 h, and 24 h time intervals. The results of this study show that model parameter sensitivities are heavily impacted by the choice of analysis method as well as the model time interval. Differences between the two adjacent watersheds also suggest strong influences of local physical characteristics on the sensitivity methods' results. This study also contributes a comprehensive assessment of the repeatability, robustness, efficiency, and ease-of-implementation of the four sensitivity methods. Overall ANOVA and Sobol's method were shown to be superior to RSA and PEST. Relative to one another, ANOVA has reduced computational requirements and Sobol's method yielded more robust sensitivity rankings.
Год издания: 2007
Авторы: Yong Tang, Patrick M. Reed, Thorsten Wagener, Kathryn van Werkhoven
Издательство: Copernicus Publications
Источник: Hydrology and earth system sciences
Ключевые слова: Soil and Unsaturated Flow, Groundwater flow and contamination studies, Hydrology and Watershed Management Studies
Другие ссылки: Hydrology and earth system sciences (PDF)
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Bristol Research (University of Bristol) (HTML)
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