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Geospatial output data from the RVR Meander model of the Wabash River near the Interstate 64 Bridge near Grayville, Illinois

Metadata Updated: July 6, 2024

Natural river channels continually evolve and change shape over time. As a result, channel evolution or migration can cause problems for bridge structures that are fixed in the flood plain. A once-stable bridge structure that was uninfluenced by a river’s shape could be encroached upon by a migrating river channel. The potential effect of the actively meandering Wabash River on the Interstate 64 (I-64) Bridge at the border with Indiana near Grayville, Illinois, was studied using a river migration model called RVR Meander (RVR Meander, 2011). RVR Meander is a toolbox that can be used to model river channel meander migration with physically based bank erosion methods. This study assesses the Wabash River meandering processes through predictive modeling of natural meandering over the next 100 years, climate change effects through increased river flows, and bank protection measures near the I-64 Bridge. The calibrated model was used to run three scenarios. The first scenario investigated the natural meandering of the Wabash River over the next 100 years (2013–2113). The second scenario predicted potential climate change effects on the meander migration of the Wabash River by increasing the model bankfull flow by 10 percent. The third scenario investigated how proposed bank armoring on the right bank of the Wabash River just north of the I-64 Bridge would influence the meandering pattern. Model outputs include one-dimensional shapefiles of the migrated centerlines at defined increments. RVR Meander, 2011, River meander migration software, accessed June 2016 at http://www.rvrmeander.org/software.html.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024
Publisher U.S. Geological Survey
Maintainer
@Id http://datainventory.doi.gov/id/dataset/e3bcbf38d8ffa50e8a86c72e0c9aa0bc
Identifier USGS:5965069be4b0d1f9f05b326e
Data Last Modified 20200827
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id f147b994-3351-476c-ab67-a821a19a0431
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -87.987,38.089,-87.823,38.346
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash d298d6156557c3b2f839896a874aa099f42453aa5cd7eb6e05f358f287303944
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -87.987, 38.089, -87.987, 38.346, -87.823, 38.346, -87.823, 38.089, -87.987, 38.089}

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