H23K:
Uncertainty and Sensitivity in Models and Observations and Their Impacts on Decision Making Related to Geological, Hydrological, and Environmental Applications II Posters

Session ID#: 1628

Tuesday, 16 December 2014: 1:40 PM-6:00 PM
Not an Option (Moscone West)
Chairs:  Min-Hui Lo, NTU National Taiwan University, Taipei, Taiwan and Hoshin Vijai Gupta, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States
Primary Convener:  Ray G Anderson, US Department of Agriculture - Agricultural Research Service, US Salinity Laboratory, Riverside, United States
Co-conveners:  Dr. Velimir monty V Vesselinov, Los Alamos National Laboratory, Los Alamos, United States, Hoshin Vijai Gupta, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States and Todd H Skaggs, US Salinity Lab, Riverside, CA, United States
OSPA Liaison:  Todd H Skaggs, US Salinity Lab, Riverside, CA, United States
Co-Sponsor(s):
  • A - Atmospheric Sciences
  • B - Biogeosciences
  • GC - Global Environmental Change
Index Terms:
Virtual Option?: No
Swirl Theme: Characterizing Uncertainty

Abstracts Submitted to this Session:

 
An Effective Parameter Screening Strategy for High Dimensional Watershed Models (5960)
Yogesh P Khare, University of Florida, Ft Walton Beach, FL, United States, Christopher J Martinez, University of Florida, Gainesville, United States and Prof. Rafael Munoz-Carpena, Ph.D., University of Florida (Visiting Professor at Public University of Navarra, Spain), Agricultural and Biological Engineering, Gainesville, FL, United States
 
How to Address Measurement Noise in Bayesian Model Averaging (6495)
Anneli Guthke, University of Tübingen, Tübingen, Germany, Thomas Wöhling, University of Tübingen, Water & Earth System Science Competence Cluster (WESS), Tübingen, Germany and Wolfgang Nowak, University of Stuttgart, Stochastic Simulation and Safety Research for Hydrosystems (IWS/SC SimTech), Stuttgart, Germany
 
Evaluating the Current and Future Water Supply and Demands in the Apurimac River Basin, in Peru. Sensitivity Analysis of a Hydrologic and Water Planning Model (8184)
Sooyeon Yi, University of California Davis, Davis, CA, United States, Samuel Sandoval Solis, University of California Davis, Department of Land, Air, and Water Resources, Davis, United States and Fabian A Bombardelli, Univ. of California, Davis, Davis, CA, United States
 
Exploring the Effects of GCM Uncertainty on the Hydrology and Water Allocation of a Small Mountain Watershed in Northern British Columbia, Canada. (8619)
Faye Hirshfield, University of Alberta, Edmonton, AB, Canada, Axel Anderson, Foothills Research Institute, Hinton, AB, Canada and Jueyi Sui, University of Northern British Columbia, Prince George, BC, Canada
 
Inter-Model Diagnostics for Two Snow Models Across Multiple Western U.S. Locations and Implications for Management (10339)
Elizabeth Sara Houle, University of Colorado at Boulder, Boulder, CO, United States, Ben Livneh, University of Colorado at Boulder, Department of Civil, Environmental, and Architectural Engineering, Boulder, United States and Joseph R Kasprzyk, University of Colorado Boulder, Civil Environmental & Architectural Engineering, Boulder, United States
 
Global Sensitivity Analysis of Environmental Models: Convergence, Robustness and Accuracy Analysis (10458)
Fanny Sarrazin, University of Bristol, Civil Engineering, Bristol, United Kingdom, Francesca Pianosi, University of Bristol, School of Civil, Aerospace and Design Engineering, Bristol, United Kingdom, Andreas J Hartmann, University of Bristol, Bristol, United Kingdom and Thorsten Wagener, University of Bristol, Bristol, BS8, United Kingdom
 
Spatial Characteristics of Geothermal Spring Temperatures and Discharge Rates in the Tatun Volcanic Area, Taiwan (11269)
Cheng-Shin Jang, Kainan University, Taoyuan, Taiwan and Chen-Wuing Liu, Natl Taiwan Univ, Taipei, Taiwan
 
A Risk-Based Multi-Objective Optimization Concept for Early-Warning Monitoring Networks (12176)
Felix Bode1, Matthias Loschko1 and Wolfgang Nowak2, (1)University of Stuttgart, Stuttgart, Germany, (2)University of Stuttgart, Stochastic Simulation and Safety Research for Hydrosystems (IWS/SC SimTech), Stuttgart, Germany
 
Definition and sensitivity of the conceptual MORDOR rainfall–runoff model parameters using different multi-criteria calibration strategies (13655)
Federico Garavaglia, Emie Seyve, Frédéric Gottardi, Matthieu LE Lay, Joël Gailhard and Rémy Garçon, EDF-DTG, Grenoble, France
 
Global sensitivity analysis using a new approach based on cumulative distribution functions (16419)
Thorsten Wagener1, Francesca Pianosi2 and Fanny Sarrazin1, (1)University of Bristol, Civil Engineering, Bristol, United Kingdom, (2)University of Bristol, School of Civil, Aerospace and Design Engineering, Bristol, United Kingdom
 
UQ and Decision Making for Groundwater Contamination: A Measure-Theoretic Approach (18907)
Steven Andrew Mattis, University of Texas at Austin, Austin, TX, United States, Clint Dawson, University of Texas at Austin, Institute for Computational Engineering and Sciences, Department of Aerospace Engineering and Engineering Mechanics, Austin, TX, United States and Troy Butler, University of Colorado Denver, Denver, CO, United States
 
A New Method of Sensitivity Analysis for Multi-Criteria Decision Making in Water Resources (20454)
Seyedpouya Shekarrizfard1, Mahmoud Reza Shaghaghian1 and Arman Ganji2, (1)Science and Research branch, Islamic Azad University, Fars, Iran, civil, shiraz, Iran, (2)University of Quebec at Montreal UQAM, Montreal, QC, Canada
 
Using a Three-Dimensional Hydrogeologic Framework to Investigate Potential Sources of Water Springs in the Death Valley Regional Groundwater Flow System (20645)
Mary C Hill, University of Kansas, Geology, Lawrence, KS, United States, Wayne Robert Belcher, US Geological Survey, Henderson, NV, United States, Donald Steven Sweetkind, U.S. Geological Survey, Geosciences and Environmental Change Science Center, Lakewood, United States and Claudia C Faunt, U.S. Geological Survey, CA WSC, San Diego, CA, San Diego, CA, United States
 
A New Approach to Estimate Prediction Uncertainty using Sparse Ad hoc Samples in Digital Soil Mapping application (22396)
Jing Liu1, A-xing Zhu1,2, Fei Du1 and Shujie Zhang3, (1)University of Wisconsin Madison, Madison, WI, United States, (2)Nanjing Normal University, Nanjing, China, (3)IGSNRR Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, China
 
Bayesian Information-Gap Decision Analysis Applied to a CO2 Leakage Problem  (22887)
Daniel O'Malley, Los Alamos National Laboratory, Computational Earth Sciences, Los Alamos, NM, United States and Dr. Velimir monty V Vesselinov, Los Alamos National Laboratory, Los Alamos, United States
 
Risk-Based, Hypothesis-Driven Framework for Hydrological Field Campaigns with Case Studies (25880)
Bradley Harken, University of California Berkeley, Berkeley, CA, United States and Yoram Rubin, Univ California Berkeley, Berkeley, CA, United States
 
A Constrained Differential Evolution Algorithm for Reservoir Management: Optimal Placement and Control of Wells for Geological Carbon Storage with Uncertainty in Reservoir Properties (28418)
Abdullah Cihan, Lawrence Berkeley National Laboratory, Energy Geosciences Division, Berkeley, CA, United States, Jens T Birkholzer, Lawrence Berkeley National Laboratory, Energy Geosciences Division, Berkeley, United States and Marco Bianchi, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
 
Multi-Physics Markov Chain Monte Carlo Methods for Subsurface Flows (29963)
Joyce Rigelo, University of Texas at Austin, Austin, TX, United States, Victor Ginting, University of Wyoming, Mathematics, Laramie, WY, United States, Arunasalam Rahunanthan, Edinboro University of Pennsylvania, Mathematics and Computer Science, Edinboro, PA, United States and Felipe Pereira, University of Texas at Dallas, Mathematical Sciences, Dallas, TX, United States
 
Nonlinear inversion: Regularization as a priori information (30285)
Jodi Mead, Boise State University, Mathematics, Boise, United States
 
Hydrologic Network Fault Trees Help Understand Patterns of Water Contamination (30715)
Allen Teklitz1, William Shuster2 and Lilit Yeghiazarian1, (1)University of Cincinnati Main Campus, Cincinnati, OH, United States, (2)USEPA, Cincinnati, United States
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