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Cited by 309

The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.

Sensitivity and identifiability of stream flow generation parameters of the SWAT model

Cibin, R., Sudheer, K. P., Chaubey, I.·2010·Hydrological Processes
DOI 10.1002/hyp.7568
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Abstract

Implementation of sensitivity analysis (SA) procedures is helpful in calibration of models and also for their transposition to different watersheds. The reported studies on SA of Soil and Water Assessment Tool (SWAT) model were mostly focused on identifying parameters for pruning or modifying during the calibration process. This paper presents a sensitivity and identifiability analysis of model parameters that influence stream flow generation in SWAT. The analysis was focused on evaluating the sensitivity of the parameters in different climatic settings, temporal scales and flow regimes. The global sensitivity analysis (GSA) technique based on classical decomposition of variance, Sobol', was employed in this study. The results of the study indicate that modeled stream flow show varying sensitivity to parameters in different climatic settings. The results also suggest that the identifiability of a parameter for a given watershed is a major concern in calibrating the model for the specific watershed, as it might lead to equifinality of parameters. The SWAT model parameters show varying sensitivity in different years of simulation suggesting the requirement for dynamic updation of parameters during the simulation. The sensitivity of parameters during various flow regimes (low, medium and high flow) is also found to be uneven, which suggests the significance of a multi‐criteria approach for the calibration of models. Copyright © 2010 John Wiley & Sons, Ltd.

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Metadata

Authors
Cibin, R., Sudheer, K. P., & Chaubey, I.
Venue
Hydrological Processes
Publisher
Wiley
Published
2010-01-13
Volume
24
Issue
9
Pages
1133-1148
ISSN
  • 0885-6087 (ISSN-L)
  • 1099-1085
DOI
10.1002/hyp.7568
OpenAlex
W2088876159
Cited by
309
References
44
FWCI
10.82
Type
journal article
Language
en
Open access
closed

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.