World Environmental and Water Resources Congress 2018
Topo-Statistical Analyses of Ponding Area versus Ponding Storage of Depression-Dominated Regions for Macro-Scale Hydrologic Modeling
Publication: World Environmental and Water Resources Congress 2018: Watershed Management, Irrigation and Drainage, and Water Resources Planning and Management
ABSTRACT
Depression-dominated regions have a unique undulating topography which contains depressions, potholes, and wetlands. These topographic features are periodically ponded and have different functions such as flood mitigation, nutrient and sediment retention, and habitat provision. Accounting for such detailed topographic features alters the hydrologic modeling results. However, the structure of many macro-scale hydrologic models requires adequately lumped or simplistic approaches rather than detailed, process-based approaches. This study is aimed to identify a relationship between ponding area and ponding storage of depression-dominated regions by conducting a set of topo-statistical analyses. The Red River Basin was chosen in this study to represent a depression-dominated watershed. To extract topographic characteristics of the selected study area and quantify topographic indices, the depression-dominated delineation (D-cubed) algorithm was utilized. Based on the topographic analyses, a regression model was developed, and the utility of the model was tested by the analysis of variance (F test) and other statistics. The delineation results highlighted the presence of a hierarchical relationship among depressions which led to proposing a regression model between ponding area and ponding storage. Testing the global usefulness of the regression model indicated that it was statistically helpful for prediction of ponding area. The results also suggest that variations in ponding area over the study area can be explained by ponding storage and other topographic indices. The topo-statistical analyses used to develop the regression model can be used in macro-scale hydrologic models to improve the modeling for depression-dominated regions.
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ACKNOWLEDGEMENT
This material is based upon work supported by the National Science Foundation under NSF EPSCoR Award IIA-1355466. The North Dakota Water Resources Research Institute also provided partial financial support in the form of a graduate fellowship for the first author.
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Published In
World Environmental and Water Resources Congress 2018: Watershed Management, Irrigation and Drainage, and Water Resources Planning and Management
Pages: 415 - 424
Editor: Sri Kamojjala, Las Vegas Valley Water District
ISBN (Online): 978-0-7844-8140-0
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© 2018 American Society of Civil Engineers.
History
Published online: May 31, 2018
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