Publication Notices

Notifications of New Publications Released by ERDC

Contact Us

      

  

    866.362.3732

   601.634.2355

 

ERDC Library Catalog

Not finding what you are looking for? Search the ERDC Library Catalog

Results:
Tag: waterways
Clear
  • Metrics for Assessing Overall Performance of Inland Waterway Ports: A Bayesian Network Based Approach

    Abstract: Because ports are considered to be the heart of the maritime transportation system, thereby assessing port performance is necessary for a nation’s development and economic success. This study proposes a novel metric, namely, “port performance index (PPI)”, to determine the overall performance and utilization of inland waterway ports based on six criteria, port facility, port availability, port economics, port service, port connectivity, and port environment. Unlike existing literature, which mainly ranks ports based on quantitative factors, this study utilizes a Bayesian Network (BN) model that focuses on both quantitative and qualitative factors to rank a port. The assessment of inland waterway port performance is further analyzed based on different advanced techniques such as sensitivity analysis and belief propagation. Insights drawn from the study show that all the six criteria are necessary to predict PPI. The study also showed that port service has the highest impact while port economics has the lowest impact among the six criteria on PPI for inland waterway ports.
  • PUBLICATION NOTICE: Hydraulic Analysis and Modeling of Navigation Conditions near the Mississippi River Bridges in Vicksburg, Mississippi

    Abstract: The River and Estuarine Engineering Branch of the Coastal and Hydraulics Laboratory developed a two-dimensional numerical model of the Mississippi River near Vicksburg, MS, using Adaptive Hydraulics to investigate navigation conditions through the Interstate 20 and Old Highway 80 Bridges reach. A focus of the study was determining the Marshall Brown Dikes impact to velocities and navigation through the reach. Proposed dikes, focused on improving currents, were also tested to determine if they are a feasible option to improve navigability through the bridges. A second proposed alternative, a levee to protect the articulated concrete mattress (ACM) field, was also simulated to determine if flood damage to the ACM field could be successfully reduced without negatively impacting navigation. Velocity data from 2008 throughout the reach of concern were used for validation along with water surface elevation data from 2008, 2011, 2016, and 2018. The Marshall Brown Dikes were shown to have a localized impact on velocities near the dikes, but the changes to the velocity downstream near the bridge were negligible for all tested flow rates. Simulations of the proposed dikes did not result in an improvement to navigation conditions, but the proposed levee was successful in decreasing velocities and depths over the ACM field.
  • PUBLICATION NOTICE: AIS Data: Real-Time Operation Support, Incident Investigations, and Waterway Use Analysis

    Abstract: This Coastal and Hydraulics Engineering Technical Note (CHETN) presents examples of Automatic Identification System (AIS) data and capabilities used to support real-time operations, assist in incident investigations, and contribute to waterways usage analysis projects for a variety of infrastructure management needs across the US Army Corps of Engineers (USACE). These case study presentations serve as examples for those who are new to AIS technology or navigation infrastructure operations.
  • PUBLICATION NOTICE: Measuring Climate and Extreme Weather Vulnerability to Inform Resilience Report 2: Port Decision-Makers’ Barriers to Climate and Extreme Weather Adaption

     Link: http://dx.doi.org/10.21079/11681/35199Report Number: ERDC/CHL CR-19-3Title: Measuring Climate and Extreme Weather Vulnerability to Inform Resilience Report 2: Port Decision-Makers’ Barriers to Climate and Extreme Weather AdaptionBy Elizabeth L. Mclean and Austin Becker Approved for Public Release; Distribution is Unlimited November