Exploiting the Topographic Information in a PDM-Based Conceptual Hydrological Model
Publication: Journal of Hydrologic Engineering
Volume 19, Issue 6
Abstract
In this work, a conceptual lumped model was developed to simulate runoff and analyze hydrological processes with the goal of incorporating the morphological information into a probability-distributed model (PDM). PDMs usually describe the process of runoff generation as the result of soil saturation excess caused by precipitation with soil storage capacity represented by a spatially distributed quantity and described by a probability distribution. The proposed model, called topography-based probability distributed model (TOPDM), based on a simple water balance whose components are basin soil moisture storage, precipitation, drainage to groundwater, evapotranspiration, and Dunnian and Hortonian surface runoff, is the result of the combination and integration of the topographic index within a PDM. A TOPDM was applied to the Baron Fork basin in Oklahoma in this research, and simulation results show that it provides a reasonably good estimation of runoff and a realistic representation of physical process in the catchment confirmed by the comparison with soil moisture data and with the results provided by a more complex, physically based distributed hydrological model.
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Acknowledgments
The author would like to thank Dr. Haksu Lee for his kind availability to provide Westville soil moisture data.
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Published In
Journal of Hydrologic Engineering
Volume 19 • Issue 6 • June 2014
Pages: 1173 - 1185
Copyright
© 2013 American Society of Civil Engineers.
History
Received: Mar 5, 2013
Accepted: Sep 12, 2013
Published online: Sep 14, 2013
Discussion open until: Feb 14, 2014
Published in print: Jun 1, 2014
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