Journal ArticleDOI
Comparing uncertainty analysis techniques for a SWAT application to the Chaohe Basin in China
TLDR
Five uncertainty analysis procedures for watershed models are compared and if computationally feasible, Bayesian-based approaches are most recommendable because of their solid conceptual basis, but construction and test of the likelihood function requires critical attention.About:
This article is published in Journal of Hydrology.The article was published on 2008-08-30. It has received 684 citations till now. The article focuses on the topics: Uncertainty analysis & Sensitivity analysis.read more
Citations
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Journal ArticleDOI
SWAT: Model Use, Calibration, and Validation
Jeffrey G. Arnold,Daniel N. Moriasi,Philip W. Gassman,Karim C. Abbaspour,Michael J. White,Raghavan Srinivasan,C. Santhi,R. D. Harmel,A. van Griensven,M. W. Van Liew,Narayanan Kannan,Manoj Jha +11 more
TL;DR: The SWAT-CUP tool as discussed by the authors is a semi-distributed river basin model that requires a large number of input parameters, which complicates model parameterization and calibration, and is used to provide statistics for goodness-of-fit.
Journal ArticleDOI
A continental-scale hydrology and water quality model for Europe: Calibration and uncertainty of a high-resolution large-scale SWAT model
Karim C. Abbaspour,Elham Rouholahnejad,Saeid Ashraf Vaghefi,Raghavan Srinivasan,Hong Yang,Bjørn Kløve +5 more
TL;DR: In this article, the authors build and calibrate an integrated hydrological model of Europe using the Soil and Water Assessment Tool (SWAT) program, and discuss issues with data availability, calibration of large-scale distributed models, and outline procedures for model calibration and uncertainty analysis.
Journal ArticleDOI
Assessing the impact of climate change on water resources in Iran
TL;DR: In this paper, the authors used a hydrologic model of Iran to study the impact of future climate on the country's water resources using the Soil and Water Assessment Tool (SWAT) model and calibrated using daily river discharges and annual wheat yield data at a subbasin level.
Journal ArticleDOI
Modeling blue and green water availability in Africa
Jiirgen Schuol,Jiirgen Schuol,Karim C. Abbaspour,Hong Yang,Raghavan Srinivasan,Alexander J. B. Zehnder +5 more
TL;DR: In this paper, a semi-distributed hydrological model SWAT (Soil and Water Assessment Tool) was used to estimate the blue water flow, green water flow and green water storage for the whole of Africa.
Journal ArticleDOI
Estimation of freshwater availability in the West African sub-continent using the SWAT hydrologic model
TL;DR: In this paper, the authors proposed a procedure to improve the estimations of freshwater availability at subbasin level and monthly intervals by applying the distributed hydrological model "Soil and Water Assessment Tool" (SWAT).
References
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Journal ArticleDOI
Equation of state calculations by fast computing machines
TL;DR: In this article, a modified Monte Carlo integration over configuration space is used to investigate the properties of a two-dimensional rigid-sphere system with a set of interacting individual molecules, and the results are compared to free volume equations of state and a four-term virial coefficient expansion.
Book
Bayesian Data Analysis
TL;DR: Detailed notes on Bayesian Computation Basics of Markov Chain Simulation, Regression Models, and Asymptotic Theorems are provided.
Journal ArticleDOI
An Analysis of Transformations
George E. P. Box,David Cox +1 more
TL;DR: In this article, Lindley et al. make the less restrictive assumption that such a normal, homoscedastic, linear model is appropriate after some suitable transformation has been applied to the y's.
Journal ArticleDOI
Large Area Hydrologic Modeling and Assessment Part i: Model Development
TL;DR: A conceptual, continuous time model called SWAT (Soil and Water Assessment Tool) was developed to assist water resource managers in assessing the impact of management on water supplies and nonpoint source pollution in watersheds and large river basins as discussed by the authors.
Journal ArticleDOI
The future of distributed models: model calibration and uncertainty prediction.
Keith Beven,Andrew Binley +1 more
TL;DR: The GLUE procedure works with multiple sets of parameter values and allows that, within the limitations of a given model structure and errors in boundary conditions and field observations, different sets of values may be equally likely as simulators of a catchment.
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