MODFLOW and More 2022 Program
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Welcome to …<br />
June 5 – 8, <strong>2022</strong><br />
Princeton University<br />
Princeton, New Jersey, USA
June 5 - 8, <strong>2022</strong><br />
Integrated GroundWater Modeling Center (IGWMC)<br />
Scientific Advisory Committee<br />
Steve Berg<br />
Aquanty Inc.<br />
USA<br />
Andrea Brookfield<br />
University of Waterloo<br />
Canada<br />
Mackenzie Cremeans<br />
Shook, Hardy <strong>and</strong> Bacon<br />
USA<br />
Nick Engdahl<br />
Washington State University<br />
USA<br />
Christopher Green<br />
U.S. Geological Survey<br />
USA<br />
Henk Haitjema<br />
Emeritus, Indiana University<br />
USA<br />
Stefan Kollet<br />
University of Bonn<br />
Germany<br />
Sorab P<strong>and</strong>ay<br />
GSI Environmental Inc.<br />
USA<br />
Jim Rumbaugh<br />
Environmental Simulations,<br />
Inc., USA<br />
Erica Siirila-Woodburn<br />
Lawrence Berkeley National<br />
Lab, USA<br />
Otto Strack<br />
University of Minnesota<br />
USA<br />
Al Valocchi<br />
University of Illinois<br />
at Urbana-Champaign, USA<br />
Jeremy White<br />
INTERA Incorporated<br />
USA<br />
Xiaofan Yang<br />
Beijing Normal University<br />
China
Conference Organizing Committee<br />
Reed Maxwell<br />
Princeton University<br />
USA<br />
Mary Hill<br />
University of Kansas<br />
USA<br />
Chunmiao Zheng<br />
Southern University of Science<br />
<strong>and</strong> Technology, China<br />
Matt Tonkin<br />
S.S. Papadopulos & Associates,<br />
Inc., USA<br />
Welcome to <strong>MODFLOW</strong> <strong>and</strong> <strong>More</strong> <strong>2022</strong>: Hydrologic Modeling in a Changing World<br />
The <strong>MODFLOW</strong> conference series unites cutting-edge developments <strong>and</strong> practical applications of hydrologic models<br />
related to groundwater. The conference series takes its name from <strong>MODFLOW</strong>, one of the original <strong>and</strong> most widely used<br />
groundwater modeling codes. However this is just a starting point, there are a broad array of well-established groundwater<br />
<strong>and</strong> hydrologic models, we seek to foster communication among conference participants using all types of models. Our<br />
conference brings together model users <strong>and</strong> developers to exchange ideas on the latest innovations in hydrologic<br />
model applications, discuss the capabilities <strong>and</strong> limitations of currently available codes, <strong>and</strong> explore directions for<br />
future developments. The conference series does not stop with groundwater modeling, rather we encourage<br />
community participation by developers <strong>and</strong> users of all types of models in diverse applications, to help evolve the<br />
modeling capabilities of our profession.<br />
The conference includes featured presentations by:<br />
John Cherry, Groundwater Models are Underused <strong>and</strong> Misused: An Explanation<br />
Newsha Ajami, Uncovering the Dynamic Complexity of Water Use under Climatic Stressors <strong>and</strong> Policy Regimes<br />
Abe Springer, Upl<strong>and</strong> L<strong>and</strong> Management Influences on Hydrogeologic Processes<br />
Steve Berg, Near Real-Time Forecasting with Fully-Integrated Hydrologic Models<br />
Andrea Brookfield, Estimating groundwater withdrawals for irrigation - A method comparison<br />
Nick Engdahl, An uncertain future for hydrogeological modeling<br />
Christopher Green, Combining process models <strong>and</strong> machine learning to estimate regional groundwater age <strong>and</strong> water<br />
quality<br />
Henk Haitjema, On Water Tables<br />
Mary Hill, FEWtures: Innovative Solutions to Sustain Rural America<br />
Stefan Kollet, Progress in integrated modeling of terrestrial systems<br />
Sorab P<strong>and</strong>ay, Post-<strong>MODFLOW</strong>-USG - Ten Years After<br />
Jim Rumbaugh, Evolution of Groundwater Models for Evaluation of Consumptive Use Permits in Southwest Florida<br />
Erica Siirila-Woodburn, Wildfires <strong>and</strong> Water: Using rapid-response observations <strong>and</strong> high-performance computing to better<br />
underst<strong>and</strong> post-fire hydrology<br />
Otto Strack, Using an old tool to assess the effect of groundwater on slope stability<br />
Matt Tonkin, Insights from The Quest for Modeling’s Elusive Silver Bullet<br />
Albert Valocchi, Modeling Diffusion <strong>and</strong> Reaction at Contaminated Sites with Low Permeability Zones: from Analytical<br />
Solutions to <strong>MODFLOW</strong>/RT3D Simulations<br />
Jeremy White, Toward rapid, reproducible, <strong>and</strong> robust groundwater modeling<br />
And general sessions on the following topics:<br />
− Modeling Agriculture, Water Resources <strong>and</strong> Climate Change<br />
− Advances in Integrated Hydrologic Modeling<br />
− Multi-Model Analysis, Parameterization, Sensitivity Analysis, <strong>and</strong> Uncertainty<br />
− Modeling of Coastal Aquifers <strong>and</strong> Evaluation of Groundwater Consequences of Sea Level Rise<br />
− Modeling in Support of Environmental Remediation <strong>and</strong> Restoration<br />
− The Analytic Element Method to the Rescue: Developments <strong>and</strong> Applications<br />
− Integrated Modeling to Underst<strong>and</strong> <strong>and</strong> Manage Water Supply, Water Quality <strong>and</strong> Ecology<br />
− Contaminant Transport Modeling: Development <strong>and</strong> Case Studies<br />
− Simulation Code Verification, Benchmarking, <strong>and</strong> Intercomparisons<br />
− Mining <strong>and</strong> Unconventional Applications of Groundwater Models<br />
− Data Driven Modeling <strong>and</strong> Time Series Analysis to Underst<strong>and</strong> <strong>and</strong> Solve Groundwater Problems
Sunday, June 5<br />
Opening Reception: Refreshments <strong>and</strong> Hors D'oeuvres, Tours of the Lewis Science Library<br />
Lewis Library Atrium<br />
5:00 – 7:00 PM<br />
Monday, June 6<br />
Time McDonnell Hall, A02 McDonnell Hall, A01<br />
8:00 Welcome <strong>and</strong> Opening Address Opening in McDonnell Hall, A02<br />
8:05<br />
Featured Presentation<br />
Featured Presentation in McDonnell Hall, A02<br />
Erica Siirila-Woodburn<br />
Wildfires <strong>and</strong> Water: Using rapid-response observations <strong>and</strong> high-performance computing to better underst<strong>and</strong> post-fire hydrology<br />
8:25<br />
8:30<br />
8:46<br />
9:02<br />
9:18<br />
Modeling Agriculture, Water Resources<br />
<strong>and</strong> Climate Change I<br />
Chaired by: Erica Siirila-Woodburn <strong>and</strong> Matt Tonkin<br />
Am<strong>and</strong>a Triplett, Laura E.<br />
Condon<br />
Pietro Mazzon, Stefano<br />
Piccioli, Paolo Colombo, Luca<br />
Alberti<br />
Sara Barbieri, Martina Baratto,<br />
Matteo Antelmi, Luca Alberti<br />
R<strong>and</strong>all Hunt, Daniel Feinstein,<br />
Eric Morway<br />
Climate warming-driven changes in<br />
the cryosphere <strong>and</strong> their impact on<br />
groundwater-surface water<br />
interactions in the Heihe River Basin<br />
Numerical modelling of the Adda-<br />
Ticino basin (Italy) to assess the<br />
relevance of irrigation recharge in<br />
prediction of future groundwater<br />
levels<br />
Numerical modeling of a thermal<br />
response test in <strong>MODFLOW</strong>-USG for<br />
ground source heat pump design<br />
support<br />
Watershed Heat Flows, Lags <strong>and</strong><br />
Dampening under Climate Forcing<br />
Multi-Model Analysis, Parameterization, Sensitivity Analysis,<br />
<strong>and</strong> Uncertainty I<br />
Chaired by: Al Valocchi <strong>and</strong> Sorab P<strong>and</strong>ay<br />
Michael N. Fienen, Nicholas T.<br />
Corson-Dosch, Jeremy T.<br />
White, Andrew T. Leaf,<br />
R<strong>and</strong>all J. Hunt<br />
Peter Vermeulen, Gijs<br />
Janssen<br />
Mark Bakker, Raoul<br />
Collenteur, Frans Schaars<br />
Prashanth Khambhammettu,<br />
Philippe Renard, Jeremy<br />
White, John Doherty, Marc<br />
Killingstad, Michael Kladias<br />
From datasets to decisions - a<br />
repeatable workflow for groundwater<br />
decision support<br />
Efficient Model Calibration using Submodels<br />
Estimation of parameter uncertainty -<br />
How to deal with noisy neighbors?<br />
The Traveling Pilot Point Method with<br />
an Iterative Ensemble Smoother to<br />
parameterize the categorical inverse<br />
problem <strong>and</strong> improve remedial<br />
outcomes<br />
9:34<br />
Marta Mekite, Kedir<br />
Mohammed Bushira<br />
Assessment of System Responses in<br />
Groundwater-Surface Water<br />
Interactions using SWAT-<strong>MODFLOW</strong><br />
Modeling, Lower Kobo Valley,<br />
Ethiopia<br />
Cheng Cheng, John Sigda,<br />
Lakin Beal, Jeremy White<br />
Probabilistic Analysis of Groundwater<br />
Retention Under Uncertain Future<br />
Conditions at a Legacy Mine Site<br />
9:50 Coffee Break<br />
10:10<br />
Featured Presentations<br />
Featured Presentations in McDonnell Hall, A02<br />
Al Valocchi<br />
Modeling Diffusion <strong>and</strong> Reaction at Contaminated Sites with Low Permeability Zones: from Analytical Solutions to <strong>MODFLOW</strong>/RT3D<br />
Simulations<br />
10:30<br />
Sorab P<strong>and</strong>ay<br />
Post-<strong>MODFLOW</strong>-USG - Ten Years After<br />
10:50<br />
10:55<br />
Ali Gebril<br />
Modeling Agriculture, Water Resources<br />
<strong>and</strong> Climate Change II<br />
Chaired by: Erica Siirila-Woodburn <strong>and</strong> Matt Tonkin<br />
Modeling the effect of changes in<br />
irrigation practices on the Jefferson<br />
River <strong>and</strong> tributary streams in the<br />
Waterloo area, Waterloo, Montana<br />
Multi-Model Analysis, Parameterization, Sensitivity Analysis,<br />
<strong>and</strong> Uncertainty II<br />
Chaired by: Al Valocchi <strong>and</strong> Sorab P<strong>and</strong>ay<br />
Ross Kushnereit Calibrating an ensemble of 1,000<br />
realizations for estimating the<br />
uncertainty of aquifer properties in the<br />
vicinity of a long-lived radioactive<br />
waste repository using a script driven<br />
approach
Monday, June 6 continued<br />
11:11<br />
Joshua D. Larsen, Christian D.<br />
Langevin, Joseph D. Hughes,<br />
Richard G. Niswonger<br />
Simulating Irrigated Agriculture in<br />
<strong>MODFLOW</strong> 6 through the <strong>MODFLOW</strong><br />
Application <strong>Program</strong>ming Interface<br />
Frans Schaars, Raoul<br />
Collenteur, Ruben Caljé, Mark<br />
Bakker<br />
Time Series Analysis <strong>and</strong><br />
Groundwater Models - Best Friends<br />
Forever?<br />
11:27<br />
11:43<br />
Andrew Calderwood, William<br />
Rice, Bradley Simms, Cab<br />
Esposito, Thomas Harter,<br />
Laura Foglia<br />
Saubhagya S. Rathore, Ethan<br />
T. Coon, Scott L. Painter<br />
Influence of hydrogeologic structure<br />
on long-term sustainable groundwater<br />
elevations for a moderate-altitude<br />
rain-fed groundwater basin under<br />
climate change<br />
Improving Representation of Surface<br />
Drainage Networks in Managed<br />
Watersheds<br />
Wes Zell, Ward Sanford,<br />
Jason Pope<br />
Jonathan P. Traylor, R<strong>and</strong>all J.<br />
Hunt, Jeremy White<br />
Resolving climatological <strong>and</strong><br />
subsurface controls on low flows for a<br />
managed regional basin<br />
Effects of auto-adaptive localization<br />
on a model calibration using<br />
ensemble methods<br />
11:59<br />
12:15 Lunch – Fine Peyton Lawn<br />
1:30<br />
Lunch Keynote – McDonnell Hall, A02<br />
John Cherry via Zoom<br />
Groundwater Models Are Underused or Misused: An Explanation<br />
2:00 Transition<br />
2:05<br />
Featured Presentations<br />
Stefan Kollet<br />
Progress in integrated modeling of terrestrial systems<br />
Featured Presentations in McDonnell Hall, A02<br />
2:25 Mackenzie Cremeans<br />
2:45<br />
2:50<br />
Data-Driven Modeling & Time Series Analysis to Underst<strong>and</strong> &<br />
Solve Groundwater Problems<br />
Chaired by: Otto Strack <strong>and</strong> Henk Haitjema<br />
Raoul Collenteur, Ainur<br />
Kokimova, Steffen Birk<br />
On the application of time series<br />
models in the groundwater modeling<br />
workflow: a case study from Austria<br />
Simulation Code Verification, Benchmarking, <strong>and</strong><br />
Intercomparisons<br />
Chaired by: Stefan Kollet <strong>and</strong> Mackenzie Cremeans<br />
Christopher Muffels, Charles<br />
Andrews, Sorab P<strong>and</strong>ay<br />
Ready Layer Zero: Simulating<br />
Surface Water Features Using the<br />
Connected Linear Network Package<br />
3:06<br />
Daniel B. Abrams, Cecilia<br />
Cullen, Devin H. Mannix, Allan<br />
E. Jones, Mike Krasowski<br />
They will never take our degrees of<br />
freedom: Using time-series to honor<br />
data complexity in a parsimonious<br />
model<br />
Hiroko Hort, Ryan Hort, Sorab<br />
P<strong>and</strong>ay, Chin Man Mok<br />
Development of <strong>MODFLOW</strong>-USG<br />
based Geochemical Transport<br />
Modeling<br />
3:22<br />
Elena Leonarduzzi, Hoang<br />
Tran, Vineet Bansal, Robert<br />
Hull, Luis De la Fuente, Peter<br />
Melchior, Laura E. Condon,<br />
Reed M. Maxwell<br />
Predicting the hydrological response<br />
to an unprecedented climate:<br />
machine learning <strong>and</strong> physics-based<br />
modelling<br />
Rohit R. Goswami, Isaac<br />
Johnson, Jay Fagan,<br />
Raghavan Srinivasan, Mike<br />
Keester, Jordan Furnans,<br />
Robert Bradley, Ki Cha<br />
Intercomparison of different modeling<br />
techniques applied to estimate<br />
recharge in aquifers of Central <strong>and</strong><br />
West Texas<br />
3:38<br />
Jack Wang, Marc Killingstad,<br />
Prashanth Khambhammettu<br />
Application of Time-Series Analysis to<br />
Quantify Hydraulic Influence of a<br />
Pump <strong>and</strong> Treat System to Help<br />
Assess Capture<br />
Onno Ebbens<br />
Improve scripting efficiency using<br />
memoization<br />
3:54<br />
R<strong>and</strong>all Hunt, Jeremy White,<br />
Max Newcomer<br />
Two automated learning approaches<br />
for optimizing <strong>MODFLOW</strong>-NWT<br />
solver settings<br />
4:10 Coffee Break<br />
4:30<br />
Featured Presentation<br />
Featured Presentation in McDonnell Hall, A02<br />
Christopher Green<br />
Combining process models <strong>and</strong> machine learning to estimate regional groundwater age <strong>and</strong> water quality
4:50 Software Demo Introductions<br />
5:20 Transition<br />
5:25<br />
SOFTWARE DEMONSTRATIONS<br />
Refreshments <strong>and</strong> Hors D'oeuvres - Frick Taylor Commons, Frick Chemistry Laboratory
Software Demonstration Session<br />
Monday, June 6, 5:30 – 7:30 PM<br />
1. GroundWater Desktop by Marinko Karanovic (S.S. Papadopulos & Associates, Inc.)<br />
GroundWater Desktop (GWD) is a 3D User Interface for visualizing groundwater models, environmental data <strong>and</strong> 2D <strong>and</strong> 3D kriging. GWD<br />
supports visualizing of <strong>MODFLOW</strong> <strong>and</strong> related programs (Modpath, MT3D) including the latest unstructured grid capabilities encompassed<br />
within <strong>MODFLOW</strong>-USG <strong>and</strong> <strong>MODFLOW</strong> 6.<br />
The open, flexible <strong>and</strong> intuitive interface allows the user to explore <strong>and</strong> analyze environmental data such as water levels <strong>and</strong> chemistry.<br />
GWD includes several tools for 3D kriging, water level mapping <strong>and</strong> capture analysis <strong>and</strong> analytical solute transport.<br />
Implemented in GWD, KT3D_H2O combines various programs to generate gridded maps of water level elevations with option to use several<br />
drift types, together with approximate particle tracks <strong>and</strong> capture zones.<br />
GWD provides powerful unique 3D kriging capabilities with an option to do kriging directly on Modflow grid <strong>and</strong> use of MT3D output as an<br />
external drift.<br />
Software presentation will include live demo of GWD Version 5.<br />
2. HydroGeoSphere (HGS) <strong>and</strong> HydroGeoSphere-RealTime (HGSRT) by Brayden McNeill (Aquanty)<br />
HydroGeoSphere (HGS) is the world’s most powerful integrated hydrologic modeling platform. HGS is a three-dimensional control-volume finite<br />
element simulator which is designed to model the entire terrestrial portion of the hydrologic cycle. It uses a globally-implicit approach to<br />
simultaneously solve the 2D diffusive-wave equation for overl<strong>and</strong>/surface water flow <strong>and</strong> the 3D form of Richards’ equation for variably<br />
saturated groundwater flow.<br />
HydroGeoSphere RealTime (HGSRT) forecasts powered by HydroGeoSphere. HGSRT is your entry point to fully integrated modeling <strong>and</strong><br />
watershed science, all in near-real-time. HGSRT provides fully integrated hydrologic modeling as a service. We can deliver a near-real-time<br />
representation of your organization’s site or watershed to your userbase, side-by-side with IOT monitoring <strong>and</strong> remote sensing data to give you<br />
an eye on your l<strong>and</strong> <strong>and</strong> infrastructure, anywhere in the world. With HGS at its core, HGSRT provides a cost-effective all-in-one SAAS solution<br />
to help you exceed your compliance, research, <strong>and</strong> operations requirements.<br />
3. Groundwater Modeling System (GMS) by Alan Lemon (Aquaveo)<br />
Pre- <strong>and</strong> Post processor for <strong>MODFLOW</strong> modeling including <strong>MODFLOW</strong>-USG <strong>and</strong> <strong>MODFLOW</strong> 6.<br />
4. Wellhead Analytic Element Model (WhAEM) & Groundwater Flow Analytic Element Model (GLOW) by Stephen Kraemer (U.S. EPA)<br />
The EPA Center for Exposure Assessment Modeling hosts the analytic element models WhAEM <strong>and</strong> GFLOW at<br />
https://www.epa.gov/ceam/groundwater-models-assess-exposures. Both computer modeling systems access the GFLOW1.EXE Fortran solver<br />
for regional steady flow <strong>and</strong> advective transport in single aquifers. The modeling systems were created by a team led by Professor Emeritus<br />
Henk Haitjema, Indiana University Bloomington. Both modeling systems build on web-served basemaps of Digital Line Graphs quad<br />
representation of rivers <strong>and</strong> roads. The Wellhead Analytic Element Model (WhAEM) has a User Interface that is fine-tuned to support the<br />
design of capture zones for pumping wells <strong>and</strong> for creating GIS maps of wellhead protection areas. The GFLOW modeling system accesses<br />
the advanced features of the solver, including 3D <strong>and</strong> transient wells, conjunctive groundwater-surface water flows, contouring a stationary<br />
seawater interface, <strong>and</strong> an extract to a user-designed <strong>MODFLOW</strong> structured grid.<br />
5. Pastas by Raoul Collenteur (University of Graz)<br />
Pastas is an open source Python package for processing, modeling <strong>and</strong> analyzing groundwater time series. The object-oriented structure<br />
allows for the quick implementation of new model components. Data-driven models can be created, calibrated, <strong>and</strong> analyzed with just a few<br />
lines of python code with the built-in optimization, visualization, <strong>and</strong> statistical analysis tools.<br />
6. TS-CHEM by Charles McLane <strong>and</strong> Mark Kauffman (McLane Environmental, LLCl)<br />
TS-CHEM is a software environment for solving the advection dispersion equation (ADE) that governs the transport of dissolved chemicals in<br />
flowing groundwater. The user is provided a library of 32 mathematical solutions to the ADE from which to choose, allowing selection of the<br />
model that is best suited to the problem to be analyzed, or allowing comparison of results from two or more solutions in a single analysis to<br />
evaluate a range of outcomes.<br />
7. Integrated Hydrologic Model (IHM) by Jeff Geurink (Tampa Bay Water)<br />
IHM dynamically couples HSPF <strong>and</strong> <strong>MODFLOW</strong> to simulate all surface-water <strong>and</strong> groundwater hydrologic processes <strong>and</strong> their dynamic<br />
interactions.
8. Visual <strong>MODFLOW</strong> Flex by Kristian Doerken (Waterloo Hydrogeologic)<br />
Visual <strong>MODFLOW</strong> (VMOD) Flex is a powerful graphical user interface for <strong>MODFLOW</strong> <strong>and</strong> related codes that provides all the tools you need for<br />
building three-dimensional groundwater conceptual <strong>and</strong> numerical models. VMOD Flex’s unique conceptually-centered approach to<br />
groundwater modeling allows you to:<br />
●<br />
●<br />
●<br />
●<br />
●<br />
Conceptualize: Build multiple grid-independent conceptual models of the groundwater system in the same project including: geologic<br />
formation structures, hydrogeologic properties, <strong>and</strong> boundary conditions based on a variety of GIS formats, allowing you the flexibility<br />
to adjust your interpretation of the groundwater system before discretization allowing you to easily update your model<br />
conceptualizations without having to rebuild from scratch or manage multiple projects<br />
Discretize: Since conceptual models are grid-independent, you can easily design one or more structured or unstructured grids for<br />
your model scenarios<br />
Simulate: The conceptual approach in VMOD Flex allows you to focus on your modeling objectives <strong>and</strong> dynamically switch between<br />
applicable versions of <strong>MODFLOW</strong> <strong>and</strong> related codes as needed<br />
Analyze: VMOD Flex includes support for PEST <strong>and</strong> a calibration dashboard to efficiently compare <strong>and</strong> slice observation <strong>and</strong><br />
simulation data to facilitate history matching <strong>and</strong> model evaluation<br />
Visualize: VMOD Flex includes built-in 3D visualization <strong>and</strong> animation tools that allow you to easily visualize your model inputs <strong>and</strong><br />
outputs including as plan, cross-section, or 3D views.<br />
For more information, please see: https://www.waterloohydrogeologic.com/products/visual-modflow-flex/<br />
9. Hydrology Information Sources & Databases by Emily Wild (Princeton University)<br />
Emily Wild is the Chemistry, Geosciences <strong>and</strong> Environmental Studies Librarian in the Princeton University Library. From 1996 to 2018, she was<br />
a hydrologist <strong>and</strong> librarian (physical scientist) at the U.S. Geological Survey, where she worked with <strong>MODFLOW</strong> field data collection,<br />
data/model archiving, publications, <strong>and</strong> software. She will be providing "<strong>MODFLOW</strong> <strong>and</strong> <strong>More</strong>" conference attendees with hydrology<br />
information sources, library research guides, data management information, <strong>and</strong> demonstrations of access to water data, imagery, <strong>and</strong><br />
bibliographic databases, as well as provide examples of groundwater hydrology, interactions of surface water <strong>and</strong> groundwater, saltwater<br />
intrusion, groundwater quality, <strong>and</strong> water-use data <strong>and</strong> publications used during library research inquiries <strong>and</strong> library research consultations.<br />
10. ParFlow by Reed Maxwell et al. (Princeton University)<br />
ParFlow is a numerical model that simulates the hydrologic cycle from the bedrock to the top of the plant canopy. It integrates threedimensional<br />
groundwater flow with overl<strong>and</strong> flow <strong>and</strong> plant processes using physically-based equations to rigorously simulate fluxes of water<br />
<strong>and</strong> energy in complex real-world systems. ParFlow is a computationally advanced model that can run on laptops <strong>and</strong> supercomputers <strong>and</strong> has<br />
been used in hundreds of studies evaluating hydrologic processes from the hillslope to the continental scale. Our code is open source <strong>and</strong> we<br />
promote a community of active users <strong>and</strong> developers interested in advancing computational hydrology <strong>and</strong> improving hydrologic underst<strong>and</strong>ing.<br />
In addition to core capabilities, we will highlight many new model advancements that include a complete Python integration (including running in<br />
Jupyter Notebooks), many different output formats (including NetCDF), <strong>and</strong> full GPU back-end capability.<br />
11. HydroFrame by Danielle Tijerina <strong>and</strong> Calla Chennault (Princeton University)<br />
HydroFrame is a platform to facilitate easy interaction with large computationally intensive hydrologic models <strong>and</strong> massive simulated outputs.<br />
Our tools enable users to subset model inputs <strong>and</strong> outputs for any watershed in the US, run their own simulations, <strong>and</strong> visualize <strong>and</strong> analyze<br />
existing model outputs or newly generated results. We also develop free educational tools <strong>and</strong> lesson plans to teach students of all ages about<br />
groundwater <strong>and</strong> the hydrologic cycle.<br />
12. HydroGEN by Bill Hasling, Elena Leonarduzzi, <strong>and</strong> Yueling Ma (Princeton University)<br />
HydroGEN is a tool for forecasting water availability. It uses cutting-edge machine learning <strong>and</strong> supercomputing capabilities to provide water<br />
managers <strong>and</strong> planners with the ability to predict water availability. Currently, our forecasts are seasonal but we hope to extend the models to<br />
forecast up to a year in advance. Current models use a limited set of variables; over time, the product will evolve to model bedrock to treetop.<br />
Users can create what-if scenarios that predict streamflow <strong>and</strong> soil moisture under a variety of climate <strong>and</strong> weather assumptions. These<br />
scenarios are essential input into strategic planning <strong>and</strong> risk analysis.
Tuesday, June 7<br />
Time McDonnell Hall, A02 McDonnell Hall, A01<br />
8:00 Opening Comments Opening in McDonnell Hall, A02<br />
8:05<br />
Featured Presentation<br />
Mary Hill<br />
FEWtures: Innovative Solutions to Sustain Rural America<br />
Featured Presentation in McDonnell Hall, A02<br />
8:25<br />
8:30<br />
Modeling of Coastal Aquifers <strong>and</strong> Evaluation of Groundwater<br />
Consequences of Seal Level Rise I<br />
Chaired by: Jim Rumbaugh <strong>and</strong> Mary Hill<br />
Rachel Housego, Fengyan Shi,<br />
Anner Paldor, Ryan Frederiks,<br />
Holly Michael<br />
Impact of ocean surge profiles on<br />
overwash-driven salinization in<br />
coastal aquifers<br />
Contaminant Transport Modeling: Development <strong>and</strong><br />
Case Studies I<br />
Chaired by: Nick Engdahl <strong>and</strong> Chris Green<br />
Pietro Mazzon, Daniela<br />
Consonni, Matteo Antelmi,<br />
Massimo Marchesi, Luca Alberti<br />
*updated speaker<br />
Reactive transport modeling <strong>and</strong><br />
fractionation isotope analysis to<br />
evaluate chlorinated hydrocarbons<br />
plume remediation time frame<br />
8:46<br />
Gregory Nelson, Derrick<br />
Williams, Seogi Kang<br />
Seawater Intrusion Modeling<br />
Along the Salinas Valley Coast<br />
Mohammed Nassar, Vicki<br />
Kretsinger, Jeff Stovall, Penny<br />
Carlo, Timothy Ginn, Nicolas<br />
Spycher, Barbara Dalgish<br />
Multi-component Reactive<br />
Transport Model of Arsenic <strong>and</strong><br />
Manganese in Groundwater - City<br />
of Fresno, CA<br />
9:02<br />
Julia A. Guimond, Aaron A.<br />
Mohammed, Michelle Walvoord,<br />
Victor Bense, Barret L. Kurylyk<br />
Modeling coastal Arctic<br />
groundwater dynamics in a<br />
changing climate<br />
Kien Pham, Ronald W. Falta<br />
Using a semi-analytical method to<br />
simulate matrix diffusion in<br />
r<strong>and</strong>om discrete fracture networks<br />
9:18<br />
Mary Hingst, Holly Michael<br />
Comparison of surface <strong>and</strong><br />
subsurface sources of seawater<br />
intrusion<br />
Angela M. Montoya, Virginia M.<br />
Walsh, Jorge I. Restrepo<br />
Effect of l<strong>and</strong>scape self-supply<br />
irrigation on migration of effluent<br />
from septic tanks in a shallow<br />
coastal aquifer, Miami-Dade<br />
County, Florida<br />
9:34<br />
9:50 Coffee Break<br />
10:10<br />
Featured Presentations<br />
Featured Presentations in McDonnell Hall, A02<br />
Jim Rumbaugh<br />
Evolution of Groundwater Models for Evaluation of Consumptive Use Permits in Southwest Florida<br />
10:30<br />
Nick Engdahl<br />
An uncertain future for hydrogeological modeling<br />
10:50<br />
10:56<br />
Modeling of Coastal Aquifers <strong>and</strong> Evaluation of Groundwater<br />
Consequences of Sea Level Rise II<br />
Chaired by: Jim Rumbaugh <strong>and</strong> Mary Hill<br />
Ruben Caljé, Frans Schaars,<br />
Harry Boukes<br />
Scripted calculation of travel times<br />
to wells in freshwater lenses using<br />
<strong>MODFLOW</strong> 6<br />
Contaminant Transport Modeling: Development <strong>and</strong><br />
Case Studies II<br />
Chaired by: Nick Engdahl <strong>and</strong> Chris Green<br />
Neven Kresic, Sorab P<strong>and</strong>ay<br />
Modeling Contaminant Fate <strong>and</strong><br />
Transport in Karst: Conduit-Matrix<br />
Interactions<br />
11:12<br />
Tess Davids, Perry de Louw,<br />
Gualbert Oude Essink, Eva<br />
Schoonderwoerd, Nuan<br />
Clabbers, Simon Jansen<br />
Modelling framework to estimate<br />
fresh groundwater occurrences<br />
<strong>and</strong> volumes below atolls<br />
Ronald W. Falta, Sorab P<strong>and</strong>ay,<br />
Shahla Farhat, Alan Lemon<br />
MDT Matrix Diffusion Package for<br />
<strong>MODFLOW</strong>-6 <strong>and</strong> <strong>MODFLOW</strong>-<br />
USG Transport<br />
11:28<br />
Ryan S. Frederiks, Anner Paldor,<br />
Holly A. Michael<br />
Vulnerability to Sea-Level Rise<br />
<strong>and</strong> Storm-Surge Salinization<br />
Differs for Topography-limited <strong>and</strong><br />
Recharge-limited Systems:<br />
Insights from Groundwater Flow<br />
<strong>and</strong> Transport Modeling at<br />
Assateague Isl<strong>and</strong>, MD<br />
Howard W. Reeves, Daniel T.<br />
Feinstein, Megan J. Haserodt,<br />
Laura A. Schachter, Nicholas T.<br />
Corson-Dosch, Martha G.<br />
Nielsen<br />
Use of MODPATH <strong>and</strong> interpreted<br />
plume boundaries to constrain<br />
<strong>MODFLOW</strong> model calibration
11:44<br />
Anner Paldor, Ryan S. Frederiks,<br />
Holly A. Michael<br />
Modeled average salinity in<br />
coastal aquifers depends on<br />
specific storage, considering high<strong>and</strong><br />
low-frequency fluctuations in<br />
sea level<br />
Trevor Budge, Hai Pham<br />
*updated speaker<br />
Smoothed Frequency Map of<br />
Technetium-99 Concentration<br />
Plumes Used as Target for<br />
Calibration of Fate <strong>and</strong> Transport<br />
Model<br />
12:00<br />
12:16 Lunch - Fine Peyton Lawn
1:31<br />
Tuesday, June 7 continued<br />
Lunch Keynote – McDonnell Hall, A02<br />
Newsha Ajami<br />
Uncovering the Dynamic Complexity of Water Use under Climatic Stressors <strong>and</strong> Policy Regimes<br />
2:01 Transition<br />
Featured Presentations<br />
Featured Presentations in McDonnell Hall, A02<br />
2:06<br />
Henk Haitjema<br />
On Water Tables<br />
2:26<br />
Otto Strack<br />
Using an old tool to assess the effect of groundwater on slope stability<br />
2:46<br />
Mining <strong>and</strong> Unconventional Applications of Groundwater Models<br />
Chaired by: Mackenzie Cremeans <strong>and</strong> Jim Rumbaugh<br />
Modeling in Support of Environmental Remediation <strong>and</strong><br />
Restoration I<br />
Chaired by: Matt Tonkin <strong>and</strong> Stefan Kollet<br />
2:51<br />
Alberto Casillas-Trasvina, Bart<br />
Rogiers, Koen Beerten, Laurent<br />
Wouters, Kristine Walraevens<br />
Joint inversion of multiple statevariable<br />
data in groundwater<br />
numerical modelling: Using 4 Herad<br />
<strong>and</strong> Hydraulic Head observations<br />
to condition groundwater flow <strong>and</strong><br />
transport models for the Neogene<br />
Aquifer, Belgium<br />
S. Kathleen Fogg, Geoffrey C.<br />
Poole, Scott J. O’Daniel, Byron<br />
E. Amerson<br />
Effects of floodplain shading on<br />
hyporheic aquifer temperatures:<br />
Implications for restoration<br />
3:07<br />
Alisha Rodriguez, Andrew<br />
Calderwood, Laura Foglia<br />
Leveraging Access to Historic<br />
Geologic <strong>and</strong> Monitoring Data to<br />
Determine Impact of<br />
Heterogeneity <strong>and</strong> Model<br />
Upscaling on Local-Scale MAR<br />
Model Results<br />
Rodrigo Herrera, Prashanth<br />
Khambhammettu<br />
Applying an inverse modelling<br />
approach using PEST/PESTPP-<br />
IES to assess uncertainty of<br />
seepage rates estimation of a<br />
large Tailings Storage Facility<br />
(TSF) located in Northern Chile<br />
3:23<br />
Reza Namvar, Breanna<br />
Clabourne, Ralph Simon, Jingnan<br />
Zhou, Zach Roy, Ali Taghavi,<br />
Holly Nichols, Nova Clemenza<br />
Application of a Groundwater<br />
Model for a Large Dam Seepage<br />
Recovery <strong>and</strong> Safety Analysis<br />
Ward Sanford, Jeffrey Cazenas,<br />
Jason Pope<br />
Using MODPATH to investigate<br />
the effects of groundwater transittime<br />
distributions on long-term<br />
water quality forecasting<br />
3:39<br />
Moussa Guira<br />
Evaluating the Influence of<br />
Geophysical Data Integration for<br />
the Shellmound Inset<br />
Groundwater-Flow Model of the<br />
Mississippi Alluvial Plain<br />
Yueqiang Liu, Daniel Strobridge,<br />
Glen Anderson, Deepak<br />
Bhojwani, Dong Ding<br />
3D Numerical Model to Support<br />
Corrective Action <strong>Program</strong> at a<br />
Former Thorium Mill Site<br />
3:55<br />
William Russo, Matthew Weikel<br />
Filling a Future Need:<br />
Conceptualizing Contaminant<br />
Liabilities for MRF Quarries<br />
through Simulated Data<br />
William Gottobrio, Jonathan<br />
Gutsche, Cliff Baines<br />
Implementation of a Scalable<br />
Groundwater Flow Model<br />
Workflow<br />
4:11 Coffee Break<br />
4:31<br />
Featured Presentation<br />
Featured Presentation in McDonnell Hall, A02<br />
Andrea Brookfield<br />
Estimating groundwater withdrawals for irrigation - A method comparison<br />
4:51<br />
4:56<br />
Erik Toller<br />
The Analytic Element Method to the Rescue:<br />
Developments <strong>and</strong> Applications<br />
Chaired by: Otto Strack <strong>and</strong> Henk Haitjema<br />
An Analytic Element Model for<br />
Intersecting <strong>and</strong> Heterogeneous<br />
Fractures<br />
Modeling in Support of Environmental Remediation <strong>and</strong><br />
Restoration II<br />
Chaired by: Matt Tonkin <strong>and</strong> Stefan Kollet<br />
Jack Wang, Marc Killingstad,<br />
Michael P. Kladias, Prashanth<br />
Khambhammettu, Scott T. Potter<br />
Building a Better Mousetrap: The<br />
Evolution of MODALL<br />
5:12<br />
Charles McLane<br />
PEST <strong>and</strong> AEM Modeling for Data<br />
Acquisition Planning<br />
Kh<strong>and</strong>aker Ashfaque, Prashanth<br />
Khambhammettu, Michael<br />
Kladias<br />
Adopting Multiple Lines of<br />
Evidence to Characterize Tailings<br />
Fluid Induced Groundwater Plume<br />
5:28<br />
Huite Bootsma, Hans van<br />
Meerten<br />
QGIS-Tim: A QGIS plugin for<br />
TimML <strong>and</strong> TTim<br />
Jonathan Roller, Scott Potter,<br />
Matthew Schnobrich, Charles<br />
Elmendorf, Eric Moosbrugger,<br />
Jason Cosgrove<br />
Optimization of Hydraulic Plume<br />
Control <strong>and</strong> Mass Flux Under<br />
Highly Variable Groundwater Flow<br />
Conditions Using MODALL
5:44<br />
Lauren Eastes, Prashanth<br />
Khambhammettu, Scott<br />
Niekamp, Jack Wang, Vincent S.<br />
Maresco<br />
Quantifying <strong>and</strong> Visualizing<br />
Surface Water/Groundwater<br />
Interactions at an LNAPL-<br />
Impacted Site<br />
6:00 Transition<br />
6:05<br />
POSTER RECEPTION – Refreshments <strong>and</strong> Hors D’oeuvres<br />
Frick Taylor Commons, Frick Chemistry Laboratory
Poster Session<br />
Tuesday, June 7, 6:00 – 8:00 PM<br />
Modeling Agriculture, Water Resources, <strong>and</strong> Climate Change<br />
1. Cody Nichols, Mary C. Hill Machine learning for decision support in the context of food, energy <strong>and</strong> water systems<br />
2. M. René Castillo, Audrey H. Sawyer, Kassim Mussa,<br />
Stefano Gambini, Said Mateso<br />
Model-Based Estimation of Groundwater Resources for the Makame Fault Area of the<br />
Internal Drainage Basin (Tanzania)<br />
3. Nicholas Jadallah, Elena Leonarduzzi, Reed Maxwell Locating Crop Circles Using Satellite Imagery <strong>and</strong> Machine Learning: Development of a<br />
21st Century Tool to Quantify Groundwater Extraction in Agricultural Regions<br />
4. Andrew Calderwood, William Rice, Bradley Simms, Cab<br />
Esposito, Thomas Harter, Laura Foglia<br />
Influence of hydrogeologic structure on long-term sustainable groundwater elevations for<br />
a moderate-altitude rain-fed groundwater basin under climate change<br />
5. Mohamed Mohamed Sustainable Management of Groundwater Resources in the UAE under Climate Change<br />
Mining <strong>and</strong> Unconventional Applications of Groundwater Models<br />
6. Mohamed Mohamed, Karim Mahfouz Modeling Aquifer Storage <strong>and</strong> Recovery in the Eastern District of United Arab Emirates<br />
Using <strong>MODFLOW</strong><br />
7. Daniel Corkran, David Boutt, LeeAnn Munk, Brendan<br />
Moran, Sarah McKnight<br />
Modeling the Impacts of Lithium Brine Extraction <strong>and</strong> Freshwater Withdrawals on<br />
Groundwater Discharge in Salar Systems<br />
Advances in Integrated Hydrologic Modeling<br />
8. Julian Hofer, Joseph D. Hughes, Christian D. Langevin,<br />
Martijn J. Russcher<br />
9. Laura Condon, Jackson Swilley, Danielle Tijerina,<br />
Hoang Tran, Chen Yang, Jun Zhang, Reed Maxwell<br />
Exploring the PETSc Toolkit for Solving Hydrologic Models with <strong>MODFLOW</strong> 6<br />
Developments in continental-scale hydrologic modeling: ParFlow-CONUS version 2.0<br />
model development, domain input formulation, spinup, <strong>and</strong> comparison to observations<br />
10. Zachary Roy, Jingnan Zhou, Breanna Clabourne, Reza<br />
Namvar, Ali Taghavi, Thomas Henderson, Rachel Grey,<br />
Daniel Thomas<br />
11. Hoang Tran, Zeli Tan, Tian Zhou, Yilin Fang, Ruby<br />
Leung<br />
Integrated Hydrologic Model Development <strong>and</strong> Calibration - Leveraging Python, <strong>and</strong><br />
Parallel Processing<br />
Quantifying the impacts of urbanization on the hydrologic response to Hurricanes Katrina<br />
<strong>and</strong> Ida in the Gulf Coast<br />
Multi-Model Analysis, Parameterization, Sensitivity Analysis, <strong>and</strong> Uncertainty<br />
12. Blake Lytle-Goldstein, Roy Jensen, Miao Zhang Stochastic Mounding Analysis to Support Design of Sustainable Stormwater Management<br />
System<br />
13. Peyman Abbaszadeh, Hoang Tran, Jackson Swilley,<br />
Reed Maxwell<br />
Studying the Impact of Meteorological Forcing Uncertainty on Physical Processes using<br />
an Integrated Hydrology Model<br />
14. Katherine Markovich, Jeremy White, Matthew Knowling Rapid, reproducible, <strong>and</strong> wrong? Exploring sequential data assimilation as a coping<br />
mechanism for model structural error in groundwater decision support modeling<br />
Modeling of Coastal Aquifers <strong>and</strong> Evaluation of Groundwater Consequences of Sea Level Rise<br />
15. Mamoon Ismail, Jeeban Panthi, Sony Pradhanang,<br />
Thomas Boving<br />
Numerical Simulation of Sea Level Rise Impact on Groundwater in Coastal Aquifers - A<br />
case study from Rhode Isl<strong>and</strong><br />
Modeling in Support of Environmental Remediation <strong>and</strong> Restoration<br />
16. Wouter Beekman Temperature measurements as a tracer for seepage or infiltration<br />
17. Prashanth Khambhammettu, Michael P. Kladias, Jack<br />
Wang, Scott T. Potter<br />
MODALL-U – An Unstructured Volumetric Tracking Tool for Facilitating Remedial Design:<br />
Two Case Studies<br />
18. Vladimir Prilepin Particle Tracking <strong>and</strong> Solute Transport Modeling to Support Evaluation of Groundwater<br />
Extraction <strong>and</strong> Treated Water Injection Scenarios
19. John P. McDonald, Gregory J. Ruskauff, Paul W.<br />
Humphreys<br />
Comparison of Groundwater Simulation Results with Monitoring Data for a Pump-<strong>and</strong>-<br />
Treat System at Waste Management Area S-SX, Hanford Site<br />
The Analytic Element Method to the Rescue: Developments <strong>and</strong> Applications<br />
20. Stephen Kraemer Assignment of Outer Boundary Conditions on a Site-Scale Model for Groundwater<br />
Treatment System Design<br />
Integrated Modeling to Underst<strong>and</strong> <strong>and</strong> Manage Water Supply, Water Quality, <strong>and</strong> Ecology<br />
21. Patience Bosompemaa, Samuel C. Zipper, Andrea<br />
Brookfield, Mary C. Hill<br />
Quantifying water sustainability in the Central Arkansas River Basin: Evaluating existing<br />
tools at the regional scale<br />
22. M.J.C. Van Baar, R. Caljé, W. Beekman The Big Lake, unravelling a hydrological mystery<br />
23. Gengxin (Michael) Ou, Vivek Bedekar, Christopher<br />
Neville, Doug Hayes, Jay Fagan, Rohit Goswami,<br />
John (Jack) Sharp, Juan Acevedo<br />
24. Gengxin (Michael) Ou, Chris Muffels, Matt Tonkin, Vivek<br />
Bedekar<br />
25. Nafiseh Salehi Siavashani, Guillermo Vaquero, F.<br />
Javier Elorza, Manuel Gómez, Lucila C<strong>and</strong>ela, Aleix<br />
Serrat-Capdevila<br />
26. Jonathan A. Quiroz, Pablo A. Garcia-Chevesich, Xiaolu<br />
Wei, O. Gisella Martínez, Héctor Novoa, John E.<br />
McCray<br />
A State-Wide Automated Web-Based Tool for Class II Well Wastewater Injectate Analysis<br />
- Part II<br />
Lessons Learned Developing a Zone Budget Utility for ParFlow<br />
The Lake Chad Transboundary Aquifer Arid North. Groundwater Fluxes Estimation<br />
The impact of future climate, population growth, <strong>and</strong> l<strong>and</strong>-use changes on water<br />
resources in southern Peru: the different tale of two adjacent watersheds<br />
Contaminant Transport Modeling: Developments <strong>and</strong> Case Studies<br />
27. Wim J. de Lange Advective flow phenomena to better underst<strong>and</strong> dispersion in field experiments<br />
28. Pietro Mazzon, Daniela Consonni, Matteo Antelmi,<br />
Massimo Marchesi, Luca Alberti<br />
Reactive transport modeling <strong>and</strong> fractionation isotope analysis to evaluate chlorinated<br />
hydrocarbons plume remediation time frame *Moved to oral presentation<br />
29. Trevor Budge, Hai Pham Smoothed Frequency Map of Technetium-99 Concentration Plumes Used as Target for<br />
Calibration of Fate <strong>and</strong> Transport Model<br />
30. Metin Ozbek, Nathan Voorhies, Lucas Howard, Ryan<br />
Swanson, Tad Fox<br />
Modeled PFOA Plume Migration <strong>and</strong> Analysis Using PlumeSeeker TM<br />
31. Daniel K. Burnell, Jie Xu, Justin Cooper, Jeff Benegar Application of Quantum Computing for Groundwater Flow <strong>and</strong> Solute Transport Modeling<br />
Data Driven Modeling <strong>and</strong> Time Series Analysis to Underst<strong>and</strong> <strong>and</strong> Solve Groundwater Problems<br />
32. Yueling Ma, Elena Leonarduzzi, Amy Defnet, Peyman<br />
Abbaszadeh, Peter Melchior, Laura E. Condon, Reed<br />
M. Maxwell<br />
33. Martin A. Vonk, Frans Schaars, Raoul A. Collenteur,<br />
Mark Bakker<br />
Development of a Data-Driven Approach to Reconstruct Water Table Depth over the<br />
contiguous US<br />
Time series analysis of synthetic time series generated with a variably saturated flow<br />
model
Poster Session continued<br />
Tuesday, June 7, 6:00 – 8:00 PM<br />
Data Driven Modeling <strong>and</strong> Time Series Analysis to Underst<strong>and</strong> <strong>and</strong> Solve Groundwater Problems<br />
34. Jichao Bao, Liangping Li, Arden Davis Variational Autoencoder or Generative Adversarial Networks? A Comparison of Two<br />
Deep Learning Methods for Flow <strong>and</strong> Transport Data Assimilation<br />
35. Davíd A. Brakenhoff, Martin A. Vonk, Raoul A.<br />
Collenteur, Mark Bakker, Marco van Baar<br />
Application of time series analysis to estimate drawdowns from multiple well fields<br />
36. Jacob Bauer Hydrologic Time-Series Analysis of Integrated Form of Glover Equation to evaluate<br />
Aquifer Transmissivity at the Basin Scale Assuming Known Temporal Recharge
Wednesday, June 8<br />
Time McDonnell Hall, A02 McDonnell Hall, A01<br />
9:00 Opening Comments Opening in McDonnell Hall, A02<br />
9:05<br />
Featured Presentation<br />
Matt Tonkin<br />
Insights from The Quest for Modeling’s Elusive Silver Bullet<br />
Featured Presentation in McDonnell Hall, A02<br />
9:25<br />
9:30<br />
9:46<br />
Advances in Integrated Hydrologic Modeling I<br />
Chaired by: Steve Berg <strong>and</strong> Jeremy White<br />
Christian D. Langevin, Joseph D.<br />
Hughes, Alden M. Provost,<br />
Martijn J. Russcher, Sorab<br />
P<strong>and</strong>ay, Jarno Verkaik, Scott<br />
Paulinkski, Joshua D. Larsen,<br />
Damian Merrick, Julian Hofer<br />
Alastair Black, William Witterick,<br />
Geoff Parkin<br />
Recent Advances <strong>and</strong> Future<br />
Directions for the USGS Modular<br />
Hydrologic Model<br />
Adaptive feedback in <strong>MODFLOW</strong>:<br />
Head <strong>and</strong> Flow Rules Package<br />
Integrated Modeling to Underst<strong>and</strong> <strong>and</strong> Manage Water Supply,<br />
Water Quality, <strong>and</strong> Ecology I<br />
Chaired by: Mary Hill <strong>and</strong> Andrea Brookfield<br />
Paul Juckem, Laura Schachter,<br />
Nick Corson-Dosch, Chris Green,<br />
Mike Fienen, Jeff Starn,<br />
Wonsook Ha, (Howard Reeves<br />
presenting)<br />
Anna Ryken, Max Berkelhammer,<br />
Reed M. Maxwell<br />
A Nitrate Decision Support Tool<br />
for Wisconsin - Methods <strong>and</strong><br />
Scenarios for Drinking Water<br />
Wells<br />
Characterizing Source Water for<br />
Mountain Hill Slope Fluxes<br />
10:02<br />
Peter Melchior, Andrew Bennett,<br />
Ben Horowitz, Yueling Ma, Laura<br />
E. Condon, Reed M. Maxwell<br />
Generative modeling <strong>and</strong><br />
inference of the hydrologic<br />
pressure field <strong>and</strong> its dynamics<br />
Aaron Pruitt, Michael Fienen,<br />
Andrew Leaf, Megan Haserodt,<br />
Stephen Westenbroek<br />
Modeling <strong>and</strong> Groundwater<br />
Resource Management in<br />
Wisconsin’s Central S<strong>and</strong>s<br />
10:18<br />
Alden Provost, Christian D.<br />
Langevin<br />
The role <strong>and</strong> benefits of the XT3D<br />
capability in groundwater flow <strong>and</strong><br />
transport modeling using<br />
<strong>MODFLOW</strong> 6<br />
Shabbir Ahmed, Russ Weeks,<br />
Gustavo Suarez-Narvaez<br />
Development of a Finite Element<br />
Groundwater Model to Mitigate<br />
the Impact of an Impoundment in<br />
the Surficial Aquifer in South<br />
Florida<br />
10:34<br />
Ryan Bailey, Jeffrey Arnold,<br />
Michael White, Natalja<br />
Cerkasova<br />
Simulating Surface/Subsurface<br />
Hydrologic Fluxes with SWAT+ for<br />
Integrated Water Management<br />
Chin Man W. Mok, Jeff Geurink,<br />
Nisai Wanakule, Hiroko M. Hort,<br />
Barbara A. Carrera<br />
Improving Accuracy of an<br />
Integrated Hydrologic Model<br />
Application Using Rainfall from<br />
Gauged <strong>and</strong> Radar Rainfall Data<br />
Integration<br />
10:50 Coffee Break<br />
11:10<br />
Featured Presentations<br />
Jeremy White<br />
Toward rapid, reproducible, <strong>and</strong> robust groundwater modeling<br />
Featured Presentations in McDonnell Hall, A02<br />
11:30<br />
Steve Berg<br />
Near Real-Time Forecasting with Fully-Integrated Hydrologic Models<br />
11:50<br />
11:55<br />
12:11<br />
12:27<br />
Advances in Integrated Hydrologic Modeling II<br />
Chaired by: Steve Berg <strong>and</strong> Jeremy White<br />
Martijn J. Russcher, Joseph D.<br />
Hughes, Christian D. Langevin,<br />
Alden M. Provost, Jarno Verkaik<br />
Joseph D. Hughes, Martijn J.<br />
Russcher, Christian D. Langevin,<br />
Richard R. McDonald, Julian<br />
Hofer<br />
Huite Bootsma, Joeri van<br />
Engelen, Joost Delsman<br />
Generalized Model Coupling in<br />
<strong>MODFLOW</strong> 6<br />
<strong>MODFLOW</strong> Application<br />
<strong>Program</strong>ming Interface for<br />
coupling <strong>MODFLOW</strong> 6 to other<br />
model components<br />
Reproducible large scale<br />
groundwater modeling: scripting,<br />
version control, <strong>and</strong> workflows<br />
Integrated Modeling to Underst<strong>and</strong> <strong>and</strong> Manage Water Supply,<br />
Water Quality, <strong>and</strong> Ecology II<br />
Chaired by: Mary Hill <strong>and</strong> Andrea Brookfield<br />
Jeff Geurink, Dingbao Wang, Yu<br />
Zhang<br />
Miguel Valencia, Grace Oldfield,<br />
Michael Sukop, Jayantha<br />
Obeysekera, Virginia Walsh,<br />
Elizabeth Kelly, Katherine<br />
Hagemann, Angela Montoya,<br />
Samantha <strong>More</strong>jon<br />
E.J. Wexler, Dirk Kassenaar<br />
Assessing the Impact of L<strong>and</strong> Use<br />
Change on Surface Water <strong>and</strong><br />
Ground Water Resources Using<br />
the Integrated Hydrologic Model<br />
Regional Spatial Distribution of<br />
Septic Effluent Discharge in<br />
Southeast Florida, Based on the<br />
Urban Miami-Dade Groundwater<br />
Model<br />
Feature-based Water Budget<br />
Analyses for Integrated Surface<br />
Water Groundwater Modeling with<br />
GSFlow in southern Ontario
Wednesday, June 8 continued<br />
12:43<br />
Chen Yang, Carl Ponder, Bei<br />
Wang, Hoang Tran, Jun Zhang,<br />
Jackson Swilley, Laura E.<br />
Condon, Reed M. Maxwell<br />
Accelerating the Lagrangian<br />
particle tracking in hydrologic<br />
modeling at the continental scale<br />
Jackson Swilley, Reed M.<br />
Maxwell<br />
Topography’s effect on water<br />
balance <strong>and</strong> residence time in<br />
mountain systems<br />
12:59<br />
Daniil Svyatsky, Scott Painter,<br />
David Moulton, Saubhagya<br />
Rathore<br />
Modeling preferential flow paths<br />
<strong>and</strong> tile drainage in agriculturaldominated<br />
watersheds to study<br />
their impact on nutrient export<br />
Dirk Kassenaar, E.J. Wexler<br />
Integrated modelling of fractured<br />
rock: Process complexity versus<br />
parameterization<br />
1:15 Lunch – Fine Peyton Lawn<br />
2:30<br />
2:35<br />
2:51<br />
3:07<br />
Advances in Integrated Hydrologic Modeling III<br />
Chaired by: Steve Berg <strong>and</strong> Jeremy White<br />
Malcolm Graham, Alastair Black,<br />
William Witterick<br />
Zachary Roy, Jingnan Zhou,<br />
Breanna Clabourne, Reza<br />
Namvar, Ali Taghavi, Thomas<br />
Henderson, Rachel Grey, Daniel<br />
Thomas *updated speaker<br />
Soumendra N. Bhanja, Scott L.<br />
Painter, Ethan T. Coon<br />
Unlocking the black box of<br />
recharge: modelling complex<br />
processes with SWAc<br />
Integrated Hydrologic Model<br />
Development <strong>and</strong> Calibration -<br />
Leveraging Python, <strong>and</strong> Parallel<br />
Processing<br />
Evaluating the performance of a<br />
high-resolution integrated<br />
hydrological model with <strong>and</strong><br />
without catchment-specific<br />
subsurface structure information<br />
Integrated Modeling to Underst<strong>and</strong> <strong>and</strong> Manage Water Supply,<br />
Water Quality, <strong>and</strong> Ecology III<br />
Chaired by: Mary Hill <strong>and</strong> Andrea Brookfield<br />
Adam Janzen, John Greer<br />
Stuart Daley, Malcolm Graham,<br />
Alastair Black<br />
Maurice (Jay) Fagan, Gengxin<br />
(Michael) Ou, Rohit Goswami,<br />
Vivek Bedekar, John (Jack)<br />
Sharp, Juan Acevedo,<br />
Christopher Bente<br />
Saving for a (Not) Rainy Day:<br />
Modeling ASR in Provo, Utah<br />
Going with the Flow: Tracking<br />
groundwater flow in MF6 with<br />
FlowSource<br />
State-Wide Automated Web-<br />
Based Tools for Class II Well<br />
Wastewater Injectate Analysis,<br />
Part I<br />
3:23 Transition<br />
3:30 RAFFLE <strong>and</strong> Student Awards<br />
4:00<br />
<strong>2022</strong> GSA Birdsall-Dreiss Distinguished Lecturer<br />
Abe Springer, Northern Arizona University<br />
Upl<strong>and</strong> L<strong>and</strong> Management Influences on Hydrogeologic Processes<br />
McDonnell Hall, A02, 4:00 - 5:00 PM