An approach to measure parameter sensitivity in watershed hydrologic modeling

Metadata Updated: February 13, 2019

Abstract Hydrologic responses vary spatially and temporally according to watershed characteristics. In this study, the hydrologic models that we developed earlier for the Little Miami River (LMR) and Las Vegas Wash (LVW) watersheds were used for detail sensitivity analyses. To compare the relative sensitivities of the hydrologic parameters of these two models, we used Normalized Root Mean Square Error (NRMSE). By combining the NRMSE index with the flow duration curve analysis, we derived an approach to measure parameter sensitivities under different flow regimes. Results show that the parameters related to groundwater are highly sensitive in the LMR watershed, whereas the LVW watershed is primarily sensitive to near surface and impervious parameters. The high and medium flows are more impacted by most of the parameters. Low flow regime was highly sensitive to groundwater related parameters. Moreover, our approach is found to be useful in facilitating model development and calibration.

This dataset is associated with the following publication: Ranatunga, T., S. Tong, and J. Yang. An approach to measure parameter sensitivity in watershed hydrologic modeling. Hydrological Sciences Journal. IAHS LIMITED, Oxford, UK, 62(1): 76-92, (2017).

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Public: This dataset is intended for public access and use. License: See this page for license information.

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References

https://dx.doi.org/10.1080/02626667.2016.1174335

Dates

Metadata Created Date September 29, 2017
Metadata Updated Date February 13, 2019

Metadata Source

Harvested from EPA ScienceHub

Additional Metadata

Resource Type Dataset
Metadata Created Date September 29, 2017
Metadata Updated Date February 13, 2019
Publisher U.S. EPA Office of Research and Development (ORD)
Unique Identifier https://doi.org/10.23719/1390229
Maintainer
Yingping Yang
Maintainer Email
Public Access Level public
Bureau Code 020:00
Schema Version https://project-open-data.cio.gov/v1.1/schema
Harvest Object Id 6952d8ec-6ef0-4cd6-8481-49c790a2dc8e
Harvest Source Id cf9b0004-f9fd-420e-bade-a86839e82acf
Harvest Source Title EPA ScienceHub
License https://pasteur.epa.gov/license/sciencehub-license.html
Data Last Modified 2017-01-16
Program Code 020:094
Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
Related Documents https://dx.doi.org/10.1080/02626667.2016.1174335
Source Datajson Identifier True
Source Hash 1f3d647bdb709e24987bfe529f360642583f5373
Source Schema Version 1.1

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