Proceedings of the 2015 4th International Conference on Sustainable Energy and Environmental Engineering

Application of the GLUE Method to parameter uncertainty analysis of Xin’anjiang model

Authors
Chao Zhang, Rubin Wang
Corresponding Author
Chao Zhang
Available Online April 2016.
DOI
10.2991/icseee-15.2016.16How to use a DOI?
Keywords
Hydrological Model; GLUE method; Xin’anjiang model; Uncertainty analysis; Rainfall-runoff Simulation
Abstract

Uncertainty analysis of the parameters of conceptual rainfall-runoff models is studied via application of the Xin’anjiang (XAJ) model as a case study. A new research methodology is suggested. We suggest to fix a subset of insensitive parameters first, and then analyze the uncertainty of the other parameters. The results show that after fixing some insensitive parameters, the scatter plot of parameters K, SM, and CS exhibit likelihood values with higher slopes and display more obvious clustering phenomenon in the daily rainfall-runoff simulation. It is inferred that the influence of insensitive parameters is one of the factors contributing to hydrological forecasting uncertainty.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 4th International Conference on Sustainable Energy and Environmental Engineering
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
978-94-6252-164-3
ISSN
2352-5401
DOI
10.2991/icseee-15.2016.16How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Chao Zhang
AU  - Rubin Wang
PY  - 2016/04
DA  - 2016/04
TI  - Application of the GLUE Method to parameter uncertainty analysis of Xin’anjiang model
BT  - Proceedings of the 2015 4th International Conference on Sustainable Energy and Environmental Engineering
PB  - Atlantis Press
SP  - 83
EP  - 88
SN  - 2352-5401
UR  - https://doi.org/10.2991/icseee-15.2016.16
DO  - 10.2991/icseee-15.2016.16
ID  - Zhang2016/04
ER  -