H071
Heterogeneity, upscaling and uncertainty quantification in subsurface flow and transport
Session ID#: 76176
Session Description:
Natural formations involve multi-scale, evolving heterogeneity structures, variably saturated and multi-phase flows, chemical heterogeneities, transient inputs or boundary conditions, moving interfaces, changing media properties due to dissolution, precipitation, or swelling. These and many other processes are challenging to adequately describe from sparse field data and require upscaling and uncertainty quantification strategies to capture the heterogeneity-impact on large scale behaviors. This session explores progress, challenges, and recent successes in upscaling, characterizing, describing, and modeling heterogeneities, and the tradeoffs between parsimony and uncertainty. We welcome contributions involving field data, numerical simulations, and approaches for upscaling and uncertainty quantification of steady and unsteady flow and transport phenomena in the vadose and saturated zones. This includes theoretical studies as well as case studies that involve realistic geological heterogeneities to offer guidance regarding how to deal with heterogeneity and uncertainty in their chosen setting.
Index Terms:
1829 Groundwater hydrology [HYDROLOGY]
1832 Groundwater transport [HYDROLOGY]
1847 Modeling [HYDROLOGY]
1869 Stochastic hydrology [HYDROLOGY]
Primary Convener: Brian D. Wood, Oregon State University, Corvallis, OR, United States
Conveners: Nick Engdahl, Washington State University, Civil and Environmental Engineering, Pullman, WA, United States, Francisco J Valdes-Parada, UAM Metropolitan Autonomous University of Mexico, Azcapotzalco, Mexico and Didier Lasseux, Université Bordeaux, I2M - TREFLE, Talence, Cedex, France
Primary Liaison: Brian D. Wood, Oregon State University, Corvallis, OR, United States
Choosing Between Heterogeneity and Anisotropy - What's in the Data and What Do Your Purposes Require? (496292)
Ruth Maier1, Ana Gonzalez-Nicolas2, Carsten Leven3, Wolfgang Nowak2 and Olaf A Cirpka3, (1)University of Tübingen, Center for Applied Geoscience, Tübingen, Germany, (2)University of Stuttgart, Stochastic Simulation and Safety Research for Hydrosystems (IWS/SC SimTech), Stuttgart, Germany, (3)University of Tübingen, Tübingen, Germany
A novel upscaling procedure for characterising heterogeneous shale porosity from nm-to mm-scale in 3D and 4D (498402)
Lin Ma1, Patrick J. Dowey1, Ernest H Rutter1, Kevin G. Taylor2 and Peter D. Lee3, (1)University of Manchester, School of Earth and Environmental Science, Manchester, United Kingdom, (2)University of Manchester, School of Earth and Environmental Sciences, Manchester, United Kingdom, (3)University College London, London, United Kingdom
The Method of Moments: Using statistical moments of solute mass to bridge the gap between local-scale heterogeneous fracture systems and the regional-scale transport processes that control capture zones in fractured rock aquifers (502155)
Teresa Pilato1, Emil O Frind2, Ken Walton1, Steven Chapman1 and Beth L Parker3, (1)University of Guelph, Guelph, ON, Canada, (2)University of Waterloo, Waterloo, ON, Canada, (3)University of Guelph, School of Engineering, Guelph, ON, Canada
Non-Gaussian simulation: including multiple types of information at non-colocated locations (505172)
Bo Xiao1, Claus P Haslauer1, Geoffrey C Bohling2 and Andras Bardossy3, (1)University of Tübingen, Center for Applied Geosciences, Tübingen, Germany, (2)University of Kansas, Kansas Geological Survey, Lawrence, KS, United States, (3)University of Stuttgart, Department of Hydrology and Geohydrology, Stuttgart, Germany
Upscaling unsteady inertial flow in homogeneous porous media (506795)
Francisco J Valdes-Parada, UAM-Iztapalapa, Ingeniería de Procesos e Hidráulica, Mexico, AL, Mexico, Didier Lasseux, Université Bordeaux, I2M - TREFLE, Talence, Cedex, France and Fabien Bellet, Centrale Supelex, Paris, France
Analytical solution for reactive solute transport in porous media with structural heterogeneity (509166)
Xiuyu Liang1, You-Kuan Zhang1, Enze MA1 and Chunmiao Zheng2, (1)Southern University of Science and Technology, School of Environmental Science and Engineering, Shenzhen, China, (2)Southern University of Science and Technology, Shenzhen, China, School of Environmental Science and Engineering and Shenzhen Key Laboratory of Soil and Groundwater Pollution Control, Shenzhen, China
Quantification of Groundwater Flow Using Universal Multifractals (509823)
Xiaolong Geng1,2 and Michel Boufadel2, (1)University of Delaware, Department of Geological Sciences, Newark, DE, United States, (2)New Jersey Institute of Technology, Edison, NJ, United States
A New approach, Adaptive Multi-rate Mass Transfer, to Upscale Regional-scale Transport under Transient Flow Conditions (509963)
Zhilin Guo, University of California Davis, Davis, CA, United States, Christopher Vincent Henri, University of California, Davis, Davis, CA, United States, Graham E Fogg, Univ California Davis, Davis, CA, United States, Yong Zhang, Department of Geological Sciences, University of Alabama, Tuscaloosa, AL, United States, Chunmiao Zheng, Southern University of Science and Technology, Shenzhen, China, School of Environmental Science and Engineering and Shenzhen Key Laboratory of Soil and Groundwater Pollution Control, Shenzhen, China and zhengcm@sustech.edu.cn
The Role of Spatial Scale and Data Density on the Representation of Geologic Heterogeneity and Managed Aquifer Recharge Processes (541088)
Alisha Rodriguez1, Stephen Maples2, Brad T Gooch3 and Laura Foglia3, (1)University of California Davis, Land, Air and water resources, Davis, United States, (2)University of California Davis, Davis, CA, United States, (3)University of California Davis, Department of Land, Air, and Water Resources, Davis, CA, United States
Impact of Heterogeneity on the Sensitivity and Stability of Brine-to-Freshwater Interfaces in Density-driven Flow Systems (558000)
Sarah Virginia McKnight, University of Massachusetts Amherst, Amherst, MA, United States, David F Boutt, University of Massachusetts Amherst, Geosciences, Amherst, MA, United States and LeeAnn Munk, University of Alaska Anchorage, Geological Sciences, Anchorage, AK, United States
Gradient-based Travel Path Dependency of Non-Point Source Contaminant Transport (561517)
Rich Pauloo, University of California Davis, Davis, CA, United States, Graham E Fogg, Univ California Davis, Davis, CA, United States, Zhilin Guo, University of Arizona, Tucson, AZ, United States and Christopher Vincent Henri, University of California, Davis, Davis, CA, United States
Quantification of Uncertainty associated with the Estimation of Hydraulic parameters for saturated porous Media (564216)
Sahil Sharma, Indian Institute of Technology Mandi, Mandi, India, Chandni Thakur, Indian Institute of Technology, School of Engineering, Mandi, India, Dr. Deepak Swami, Indian Institute of Technology Mandi, School of Engineering, Mandi, India and K.S. Kasiviswanathan, Indian Institute of Technology Roorkee, Water Resources, Roorkee, India
Monitoring Soil Water Content via Wireless Underground Communication Networks: the Impact of Uncertainty in Soil Textural Parameters (591194)
Vittorio Di Federico1, Roberto Verdone2 and Valentina Ciriello1, (1)Università di Bologna, Dipartimento di Ingegneria Civile, Chimica, Ambientale e dei Materiali (DICAM), Bologna, Italy, (2)Università di Bologna, Dipartimento di Ingegneria dell'Energia Elettrica e dell'Informazione "Guglielmo Marconi" (DEI), Bologna, Italy
Effect of unrepresented heterogeneity in soil hydrology on prediction uncertainties and parameter estimation using data assimilation (617240)
Hannes H Bauser1,2, Lukas Riedel2,3, Daniel Berg2,3, Peter A A Troch1,4 and Kurt Roth2,5, (1)University of Arizona, Biosphere 2, Tucson, AZ, United States, (2)Heidelberg University, Institute of Environmental Physics, Heidelberg, Germany, (3)Heidelberg University, HGS MathComp, Heidelberg, Germany, (4)University of Arizona, Hydrology and Atmospheric Sciences, Tucson, AZ, United States, (5)Heidelberg University, Interdisciplinary Center for Scientific Computing, Heidelberg, Germany
Development of a Reliable Hydraulic Conductivity Upscaling Tool for High Dimensional Groundwater Flow Models (622408)
Young-Ho Seo, University of Hawaii at Manoa, Honolulu, HI, United States, Massimo Rolle, Technical University of Denmark, Kgs. Lyngby, Denmark, Peter K Kitanidis, Stanford University, Department of Civil and Environmental Engineering, Stanford, CA, United States and Jonghyun Harry Lee, University of Hawai‘i at Mānoa, Civil and Environmental Engineering, Honolulu, HI, United States
Turbulence in Porous Media (626560)
Brian D Wood1, Sourabh Apte1 and Xiaoliang He2, (1)Oregon State University, Corvallis, OR, United States, (2)Pacific Northwest National Laboratory, Hydrology, Richland, WA, United States
Quantifying Predictive Uncertainty as a Function of Calibration Data Quantity and Model Resolution Using an Adjoint State Monte Carlo Technique (632198)
Scott K Hansen1, James P. Hambleton2 and Hyunjin Lee2, (1)Ben-Gurion University of the Negev, Zuckerberg Institute for Water Research, Midreshet Ben-Gurion, Israel, (2)Northwestern University, Civil and Environmental Engineering, Evanston, IL, United States
