CSAT

Corps Shoaling Analysis Tool (CSAT)

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Channel Portfolio Tool

The CSAT calculates channel shoaling volumes using historical channel surveys and uses the shoaling rates to predict future dredging volumes. Shoaling rate grids can be used to identify hot spots or areas of increased sedimentation. The volume tables that quantify the amount of sediment needing to be dredged at depth and time increments also support decision making that will maximize the use of dredging funds and minimize disruption to vessel traffic through the navigation channels.

CSAT 1.0.x was run using a Matlab executable file and requires survey upload through eHydro for the channel. CSAT 2.0.x migrated from Matlab to using Python instead. CSAT is being developed jointly by CIRP and the Asset Management (AM) program.

CSAT 2.0.0

System Requirements

1. Remove existing Anaconda/Python2 or previous programs
2. Install Anaconda/Python3

• CorpsNet (USACE) users should request via ACE-IT app portal - ACEIT App Portal page
• Other users can obtain the installation distribution here - Anaconda website
  • Add Anaconda to PATH environment variable when prompted.

Model files

• Get the python code here - CSAT 2.0 Distribution (zip)
• Example input/output files are available for download from here - https://rdedrivepub.erdc.dren.mil/usr/csat

CSAT 1.0.2 archive

System Requirements
1. CorpsNet (USACE) users MUST Install Matlab Runtime 2017a from the app portal.

• ACEIT App Portal page

2. Other users skip this step and proceed to Model files

Model files

• Get the CSAT installer here - CSAT 1.0.2 Distribution (zip)
  • Extract and run the installer which will download the correct MatLab Runtime.
• Example input/output files are available for download from here - https://rdedrivepub.erdc.dren.mil/usr/csat

Publications

• FY19 Technical Report - Corps Shoaling Analysis Tool: Predicting Channel Shoaling
• FY17 Technical Report - Identification of Alternatives to Reduce Shoaling in the Lower Matagorda Ship Channel, Texas
• FY15 Conference Paper - Quantitative Approach to Navigation Channels Asset Management

Other Documentation

• Fact Sheet can be downloaded from here

POC: (ERDC) Michael Hartman, Michael.A.Hartman@usace.army.mil
POC: (ERDC) Lauren Dunkin, Lauren.M.Dunkin@usace.army.mil

US Army Engineer Research and Development Center (ERDC)
Coastal and Hydraulics Lab (CHL)