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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

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