2015
DOI: 10.4236/jep.2015.68076
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Sensitivity Analysis and Calibration of Hydrological Modeling of the Watershed Northeast Brazil

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Cited by 47 publications
(30 citation statements)
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“…NSE ranges from minus infinity (poor fit) to one (perfect fit), with zero indicating that the predictions are no better than the observed average trueO¯. Following da Silva et al (), NSE values larger than 0.75 indicate a very good model performance, while values of NSE between 0.4 and 0.75 suggest a satisfactory agreement and NSE values smaller than 0.4 indicate an unsatisfactory fit.…”
Section: Experimental Test Casesmentioning
confidence: 94%
See 1 more Smart Citation
“…NSE ranges from minus infinity (poor fit) to one (perfect fit), with zero indicating that the predictions are no better than the observed average trueO¯. Following da Silva et al (), NSE values larger than 0.75 indicate a very good model performance, while values of NSE between 0.4 and 0.75 suggest a satisfactory agreement and NSE values smaller than 0.4 indicate an unsatisfactory fit.…”
Section: Experimental Test Casesmentioning
confidence: 94%
“…To quantify the differences between the numerical predictions and measured data, the Nash–Sutcliffe efficiency coefficient (NSE) is introduced below (ASCE (American Society of Civil Engineers) Task Committee on Definition of Criteria for Evaluation of Watershed Models of the Watershed Management Committee, Irrigation and Drainage Division, ; da Silva et al, ; Nash & Sutcliffe, ): NSE=1i=1nOiSi2i=1nOiOfalse¯2 where O and S represent the observed data and numerical predictions, respectively, and n is the number of pairs of the measured and computed variables. NSE ranges from minus infinity (poor fit) to one (perfect fit), with zero indicating that the predictions are no better than the observed average trueO¯.…”
Section: Experimental Test Casesmentioning
confidence: 99%
“…Hal ini menunjukan bahwa model SWAT cukup baik untuk mensimulasikan debit aliran di Sub DAS Cimanuk Hulu. Menurut Silva et al (2015) menyatakan nilai 0.4 < NSE < 0.5 bahwa model SWAT dapat diterima dan digunakan untuk mensimulasi debit aliran di suatu DAS (Gambar 1).…”
Section: Skenario 3 : Penerapan Teknik Kta Berdasarkan Potensi Erosiunclassified
“…However, the uncertainty due to scarcity of these data is quite common in several areas of Colombia, due to the complexity of the topography (Meerveld and 65 Weiler, 2008). In addition, it is necessary to generate tools for calibration and validation of synthetic data to the hydrological modeling process (Blanco-Gutiérrez, Varela-Ortega and Purkey, 2013;da Silva et al, 2015). The calibration and validation of data through modeling, has enabled the verification of the assumptions that underlie the hydrological model used, which has contributed significantly to the generation of new knowledge (Ibarra-Zavaleta et al, 2017).…”
Section: Introductionmentioning
confidence: 99%