2020 Virtual Geospatial Water Technology Conference Workshops 

NHD NHDPlus High Resolution Workshop - FREE
Tuesday, August 11 | 3:30 - 5:00 PM ET

Instructors: Ariel Doumbouya, USGS; Will Sjulstad, USGS; Kevin McNinch, USGS; and Hayley Thompson, USGS

Using NHDPlus Value Added Attributes to Create Useful Analytical Tools Workshop - FREE
Tuesday, August 11 | 5:00 - 6:30 PM ET

Instructors: Alan Rea, USGS; Karen Adkins, USGS; and Mike Basile, USGS

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Workshop 1: GIS Support for Hydrologic and Hydraulic Analyses - $49.00
Tuesday, August 11 | 3:30 - 6:30 PM ET

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Instructors: Dean Djokic, Ph.D., Esri Inc. and Peter J. Singhofen, P.E., Streamline Technologies, Inc . 

Objective: Understand the key concepts in GIS support for 1D and 2D hydrologic and hydraulic modeling:

1. Differences in terrain processing for hydrologic and hydraulic analyses and for 1D and 2D modeling approaches.
2. Drainage system determination and characterization.
3. Integration of natural and man-made drainage systems into a single hydro modeling unit.
4. Derivation of 1D and 2D H&H modeling elements: pre- and post-processing.
5. GIS as model integration and automation infrastructure.
6. Roles of GIS and numerical models – single GIS environment – support for many H&H models and follow-up analyses.

Background: As a technology for spatial data storage, processing, and visualization, GIS offers many capabilities that can be used to support 1D and 2D H&H modeling. This workshop presents GIS techniques that can be used for terrain analyses, spatial and temporal integration, hydrologic and hydraulic characteristics extraction, 1D and 2D numerical model input and output, modeling process automation, and result mapping. While Esri’s Arc Hydro, NWS NWM, and Streamline Technologies’ ICPR4 will be used to demonstrate the key concepts and capabilities, the concepts are general and can be used for support of any H&H, and in general, water resources model.

Topics:

1. Review of spatial data for H&H analyses.
2. Representation of built and natural environments in GIS and numerical models.
3. Principles of model integration.
4. Arc Hydro for terrain preprocessing and developing GIS infrastructure for H&H modeling support.
5. 2D integrated hydrologic, hydraulic and groundwater modeling – ICPR4.
6. GIS for operational and design automation.

Outcomes: The expected outcomes from the workshop are that participants will understand the fundamental principles of GIS and H&H modeling integration, will see GIS and modeling tools in action, will gain appreciation for what GIS can and cannot do for modeling, understand differences in 1D and 2D modeling support, and understand the GIS and model limitations with respect to quality of supporting data.

Attendee Requirements: Limited to 40 attendees, the target audience includes hydrologists, water resources engineers and managers, GIS analysts, and anyone interested in learning what GIS can do for H&H data collection, preparation, model assembly, and result processing. Attendees should have some background in GIS and/or H&H modeling. The participants will not be using computers during the workshop, so experience with particular GIS or modeling software is not required.

Workshop 2: Fundamentals and Advanced Hydrologic Spatial Applications in R - $49.00
Tuesday, August 11 | 3:30 - 6:30 PM ET

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Instructors: Marc Weber, US EPA and David Blodgett, USGS

The first part of this workshop will focus on the Fundamentals of Spatial Analysis in R and the second half will focus on advanced applications. Attendees of this workshop can expect the following learning objectives:

• Access and subset NHDPlus data; link site-based data to the NHD network; access, subset and visualize gridded time series data; generate spatial summaries if gridded time series for watersheds, write point, line, and polygon data along with time series data into an archivable standard NetCDF file.
• Understand R representation of vector and raster spatial data as well as reading and writing vector and raster data in R; understand spatial file types supported by R spatial packages; learn to pull spatial data from online sources in R; understand typical topological operations in R using the sf package (spatial subsetting, proximity, aggregation, spatial joins, dissolves); understand typical raster operations using the raster package and combining with vector data; learn ways to extract and summarize raster data by point and polygon; explore mapping and visualization libraries in R.

This workshop is limited to 20 attendees.