NG31A
Hydrologic Dynamics and Analytics: Physical and Data-Based Approaches toward Improving Hydrologic Understanding and Prediction II Posters

Wednesday, 16 December 2015: 08:00-12:20
Poster Hall (Moscone South)
Primary Conveners:  Rui A.P. Perdigão, Vienna University of Technology (TU Wien), Vienna, Austria
Conveners:  Julia Hall, Vienna University of Technology (TU Wien), Institute of Hydraulic Engineering and Water Resources Management, Vienna, Austria, Chandra S Pathak, United States Army Corps of Engineers, Hydrology, Hydraulics and Coastal Community of Practice, Washington DC, DC, United States and Ramesh S V Teegavarapu, Florida Atlantic University, Boca Raton, FL, United States
Chairs:  Rui A.P. Perdigão, Vienna University of Technology (TU Wien), Vienna, Austria, Julia Hall, Vienna University of Technology (TU Wien), Institute of Hydraulic Engineering and Water Resources Management, Vienna, Austria and Chandra S Pathak, United States Army Corps of Engineers, Hydrology, Hydraulics and Coastal Community of Practice, Washington DC, DC, United States
OSPA Liaisons:  Rui A.P. Perdigão, Vienna University of Technology (TU Wien), Vienna, Austria
 
Streamflow Prediction based on Chaos Theory (69186)
Xin Li, Xuan Wang and Vladan M Babovic, National University of Singapore, Singapore, Singapore
 
Identify Precipitation Pattern Using Multi-scale Sample Entropy (70560)
Xiangyang Zhou1,2, Xu Liang3, Jeen-Shang Lin2 and Weilin Xu1, (1)Sichuan University, State Key Laboratory of Hydraulics and Mountain River Engineering, Chengdu, China, (2)University of Pittsburgh Pittsburgh Campus, Pittsburgh, PA, United States, (3)Univ of Pittsburgh, Pittsburgh, PA, United States
 
A probabilistic sensitivity analysis of water availability in the Budyko-space (65977)
Lukas Gudmundsson, Peter Greve and Sonia I Seneviratne, ETH Zurich, Zurich, Switzerland
 
Initial phenomenon of roll wave of shallow water on inclined channel (76833)
Muneyuki Arai, Meiji University, Kawasaki, Japan
 
Eliminating a Confounding Factor in Power Law Parameter Interpretation (69265)
Nathaniel Karst, Babson College, Mathematics and Science, Wellesley, MA, United States, David Dralle, University of California Berkeley, Berkeley, CA, United States and Sally E Thompson, University of California Berkeley, Civil and Environmental Engineering, Berkeley, CA, United States
 
A network approach to determine ecosystem vulnerability to extremes (64576)
Allison Eva Goodwell, University of Illinois at Urbana Champaign, Urbana, IL, United States
 
Characterisation of Evolving Patterns and Underlying Regimes of Hydroclimatic Extremes in Europe (78760)
Julia Hall, Vienna University of Technology (TU Wien), Institute of Hydraulic Engineering and Water Resources Management, Vienna, Austria
 
Nonlinear Synergies and Multiscale Structural Dynamics in Complex Systems: Theoretical Advances and Applications to Hydroclimate Dynamics (75270)
Rui A.P. Perdigão, Vienna University of Technology (TU Wien), Vienna, Austria
 
Investigating the Performance of One- and Two-dimensional Flood Models in a Channelized River Network: A Case Study of the Obion River System (81882)
Alfred J Kalyanapu, Tigstu TSIGE Dullo, Joseph C Thornton and Lucas Austin Auld, Tennessee Technological University, Cookeville, TN, United States
 
Derivation and Application of Idealized Flow Conditions in River Network Simulation (67951)
Shahabeddin Afshari Tork, CUNY City College, New York, NY, United States and Balazs M Fekete, CUNY City College of New York, New York, NY, United States
 
How water storage controls hydrologic extremes among catchments with diverse physiography and climate (64209)
Wouter Berghuijs, University of Bristol, Civil Engineering, Bristol, United Kingdom and Ross A Woods, University of Bristol, Bristol, United Kingdom
 
Cause Resolving of Typhoon Precipitation Using Principle Component Analysis under Complex Interactive Effect of Terrain, Monsoon and Typhoon Vortex (64783)
Chien-Lin Huang and Nien-Sheng Hsu, NTU National Taiwan University, Taipei, Taiwan
 
Combining Human and Machine Intelligence to Derive Agents’ Behavioral Rules for Groundwater Irrigation (71509)
Yao Hu1, Christopher Quinn2 and Ximing Cai1, (1)University of Illinois at Urbana Champaign, Urbana, IL, United States, (2)Purdue University, School of Industrial Engineering, West Lafayette, IN, United States
 
Optimal groundwater and soil moisture sensor placement for estimation of event streamflow (80170)
Chris Krapu, Duke University, Nicholas School of the Environment, Durham, NC, United States
 
See more of: Nonlinear Geophysics
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