Comparing uncertainty analysis techniques for a SWAT application to the Chaohe Basin in China
By Jing Yang, Peter Reichert, K. C. Abbaspour, Junqiang Xia, Hong Yang. 2008
790 citations recorded by the source corpus.
Subfields: Environmental Engineering, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/0ad564b13105c68f49976ce95098260636850cb2
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In Environmental Engineering
In Water Science and Technology
Citations in the corpus
- Evaluation of the subjective factors of the GLUE method and comparison with the formal Bayesian method in uncertainty assessment of hydrological models (2010, neutral): “The prior probability density of the parameters is generally taken as non-informative multi-uniform distribution in hydrological applications (Engeland et al., 2005; Liu et al., 2005; Yang et al., 2008; Jin et al., 2010).”
- Calibration and uncertainty analysis of the SWAT model using Genetic Algorithms and Bayesian Model Averaging (2009, methodology): “Yang et al. (2008) compared four uncertainty analysis algorithms, that is GLUE (Beven and Binley, 1992), Sequential Uncertainty Fitting SUFI-2 (Abbaspour et al., 2004), Parameter solutions (ParaSol) (Van Griensven and Meixner, 2006), and Markov Chain Monte Carlo (MCMC) based Bayesian analysis…”
- Uncertainty estimates by Bayesian method with likelihood of AR (1) plus Normal model and AR (1) plus Multi-Normal model in different time-scales hydrological models (2011, methodology): “…Likelihood Uncertainty Estimation (GLUE) (Beven and Freer, 2001; Blasone et al., 2008a,b; Vogel et al., 2008; Xiong and O’Connor, 2008) and formal Bayesian methods (Montanari and Brath, 2004; Vrugt et al., 2003; Engeland et al., 2005; Yang et al., 2008; Jin et al., 2010; Li et al., 2010b).”
- Uncertainty and sensitivity assessments of an agricultural–hydrological model (RZWQM2) using the GLUE method (2016, methodology): “With increasing numbers of studies focused on uncertainty of hydrological model, the methods of uncertainty assessment were proposed, such as MCMC and SCEM-UA, and were compared to better understand model structure, errors of input data and output responses (Jin et al., 2010; Makowski et al., 2002; ”
- Uncertainty Analysis of SWAT Modeling in the Lancang River Basin Using Four Different Algorithms (2021, methodology): “Currently, the GLUE method has increasingly been used for the calibration of hydrological models and parameter uncertainty analysis [53,54].”
- Parameter and modeling uncertainty simulated by GLUE and a formal Bayesian method for a conceptual hydrological model (2010, methodology): “…a hydrological model in GLUE (Xiong and O’Connor, 2008), introducing adaptation into the MCMC method (Kuczera and Parent, 1998; Gilks et al., 1998; Yang et al., 2007, 2008), merging one of MCMC sampler with the SCE-UA global optimization algorithm (Vrugt et al., 2003), and revising GLUE based on…”
- Uncertainty analysis of bias from satellite rainfall estimates using copula method (2014, methodology): “The goodness of calibration and prediction uncertainty is judged based on the closeness of the average value of P-factor to 100% and R-factor to 1 (Schuol et al., 2008; Yang et al., 2008).”