H085
Novel Hypotheses to Advance Hydrological Process Understanding at the Catchment Scale II Posters

Thursday, 10 December 2020: 04:00-20:59
Poster
Primary Convener:  Tirthankar Roy, University of Nebraska-Lincoln, Civil and Environmental Engineering, Omaha, NE, United States
Conveners:  Antonio Alves Meira Neto, UFES Federal University of Espírito Santo, Vitoria, Brazil, Paulo Tarso S. Oliveira, UFMS Federal University of Mato Grosso do Sul, Campo Grande, Brazil and Peter A A Troch, University of Arizona, Hydrology and Atmospheric Sciences, Tucson, AZ, United States
Primary Liaison:  Tirthankar Roy, University of Nebraska-Lincoln, Civil and Environmental Engineering, Omaha, NE, United States
Chairs:  Tirthankar Roy, University of Arizona, Tucson, AZ, United States and Paulo Tarso S. Oliveira, Escola Engenharia Sao Carlos, Tucson, AZ, United States
OSPA Liaison:  Antonio Alves Meira Neto, University of Arizona, Hydrology and Atmospheric Sciences, Tucson, AZ, United States
 
A data-based approach for the estimation of streamflow components (762420)
Yaser Kishawi, University of Nebraska Lincoln, Biological Systems Engineering, Lincoln, NE, United States, Chuyang Liu, University of Nebraska Lincoln, Civil and Environmental Engineering, Lincoln, NE, United States, Pham Huong, University of Nebraska-Lincoln, Civil and Environmental Engineering, Lincoln, United States, Antonio Alves Meira Neto, UFES Federal University of Espírito Santo, Environmental Engineering, Vitoria, Brazil, Paulo Tarso S. Oliveira, UFMS Federal University of Mato Grosso do Sul, Campo Grande, Brazil and Tirthankar Roy, University of Nebraska-Lincoln, Civil and Environmental Engineering, Omaha, NE, United States
 
Assessment of the Role of Tributaries on Flood Dynamics in Low-Gradient Coastal Rivers (678590)
Mohamed Awaad1, Haitham Saad1 and Emad H Habib2, (1)University of Louisiana at Lafayette, Lafayette, LA, United States, (2)University of Louisiana at Lafayette, Civil Engineering, Lafayette, LA, United States
 
Can fill-and-spill subsurface flow be represented by a moisture-dependent anisotropic permeability tensor in Richards equation-based models with coarse spatial resolution? (757599)
Esther Xu Fei, Johns Hopkins University, Baltimore, MD, United States and Ciaran J Harman, Johns Hopkins University, Environmental Health and Engineering, Baltimore, MD, United States
 
Hydrologic Model Parameter and Process Sensitivity to Stable Isotope Data (752612)
Tegan Linnea Holmes, University of Manitoba, Civil Engineering, Winnipeg, MB, Canada, Tricia Stadnyk, University of Calgary, Department of Geography, Calgary, AB, Canada, Masoud Asadzadeh, University of Manitoba, Department of Civil Engineering, Winnipeg, MB, Canada and John J Gibson, AITF, Victoria, BC, Canada
 
Incorporating lumped catchment characteristics into complex networks for catchment classification (746067)
Prashant Istalkar1, Kesav Unnithan Sreekuttan Lakshmi Devi1, Basudev Biswal1 and Bellie Sivakumar2, (1)Indian Institute of Technology Bombay, Department of Civil Engineering, Mumbai, India, (2)Indian Institute of Technology Bombay, Powai, Department of Civil Engineering, Mumbai, India
 
Investigating the effects of forest disturbances on streamflow for mesoscale postglacial catchments using remotely sensed datasets and the case study approach (706573)
Zachary P McEachran, University of Minnesota, St Paul, MN, United States, Rob Slesak, USDA Forest Service Pacific Northwest Research Station, Olympia, WA, United States, Diana L Karwan, University of Minnesota Twin Cities, Minneapolis, MN, United States and Jody Vogeler, Natural Resource Ecology Laboratory, Fort Collins, CO, United States
 
Model parameter transferability under a sensitivity analysis clustering approach (733631)
Cássio Rampinelli1, Tyler J Smith1 and Lucy Amanda Marshall2, (1)Clarkson University, Department of Civil & Environmental Engineering, Potsdam, NY, United States, (2)University of New South Wales, School of Civil and Environmental Engineering, Sydney, NSW, Australia
 
Post-wildfire Streamflow Reconstruction Using Artificial Neural Network Model (767896)
Rodrigo Andres Sanchez1, Tirthankar Roy2 and Thomas Meixner1, (1)University of Arizona, Hydrology and Atmospheric Sciences, Tucson, AZ, United States, (2)University of Nebraska-Lincoln, Civil and Environmental Engineering, Omaha, NE, United States
 
Relevance of heterogeneity of soil hydraulic material properties for predicting hillslope discharge (713346)
Hannes H Bauser1, Minseok Kim1, Wei-Ren Ng2, Aaron Bugaj1 and Peter A A Troch3, (1)University of Arizona, Biosphere 2, Tucson, AZ, United States, (2)University of Arizona, Biosphere 2, Tucson, United States, (3)University of Arizona, Hydrology and Atmospheric Sciences, Tucson, AZ, United States
 
Upscaling hillslope-scale subsurface flow to inform a catchment-scale storage-discharge relationship (704341)
Mark Ranjram and James R Craig, University of Waterloo, Department of Civil and Environmental Engineering, Waterloo, ON, Canada
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