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  • Beach-fx Application Guide: A User’s Trail Guide to Beach-fx

    Abstract: Beach-fx is a comprehensive analytical framework used for the evaluation of the physical performance and economic benefits of shore-protection projects related to beach nourishment. The model employs an event-driven Monte Carlo simulation of a project’s life cycle and tracks the physical and economic evolution of the beach. The computational architecture of Beach-fx is set up such that the model relies on external databases that are accessed at run time. There are three external databases: the Input Database (IDB), Output Database (ODB), and Shore Response Database (SRD). The IDB and SRD describe the coastal area under study, the environmental forcing that can impact the area, the structures in the area that are susceptible to damages, and estimates of the morphologic response to the environmental forcing. The ODB stores output data and statistics for each simulation. This document summarizes the steps necessary to prepare the external databases, build a Beach-fx study, and understand the results from model runs. The aim is to provide the Beach-fx user with a comprehensive guide that provides insight to the Beach-fx process from beginning to end.
  • Proceedings from the Great Lakes Engineering With Nature® Natural and Nature-Based Features Playbook Workshop

    Abstract: Communities in the Great Lakes are experiencing increased frequency in coastal flooding and erosion, causing property damage, putting lives at risk, and disrupting local economies. To address these challenges, two workshops were conducted (18 February 2025 [virtual] and 26–27 February 2025 [in person]) to collect knowledge, insights, and feedback from community members, policymakers, and Tribal Nations representatives to inform the development of the Engineering With Nature® Great Lakes Playbook. This report documents the workshop outcomes. The playbook is being designed to advance coastal resilience efforts in the region by identifying natural and nature-based features and multiple lines of resilience strategies that address unique natural hazard-related challenges of the Great Lakes. During the workshops, sustainable, resilient, adaptable, and cost-effective solutions were explored and construction and implementation feasibility were discussed along with regulatory and community challenges that are applicable to coastal risks and opportunities around the Great Lakes. By providing location-appropriate examples and clear guidance on how these nature-based and engineered solutions can be implemented, the playbook will enhance understanding of their potential performance in the region and build confidence among federal, state, and local agencies and Tribal Nations in planning, designing, and implementing these sustainable, adaptable, and cost-effective solutions.
  • Multi-Temporal Geomorphic Change and Application of the Coastal Engineering Resilience Index Along the Mississippi Mainland Beaches and Dunes

    Abstract: This report addresses the Mobile District’s request for a representative resilient beach and dune profile for the Mississippi mainland beach and dune project. The report summarizes a workflow that uses a custom ArcGIS Pro toolbox and 10 lidar datasets spanning a 22-year period of analysis. The workflow involves (1) lidar data compilation; (2) the extraction of geomorphic features, such as shorelines and dune toes and crests, on over 5,800 profiles along the Mississippi mainland coast; (3) the calculation of Coastal Engineering Resilience Index values for each transect for each lidar dataset; (4) selection of representative resilient profiles for various datasets; (5) development of synthetic profiles and Coastal Engineering Resilience Index (CERI) calculations on those profiles; and (6) data delivery and the development of a Web service hosting the project outcomes. The results of these analyses indicate that the protective width (i.e., from the shoreline to the seawall along the coast) is a major contributor to the resilience of a given section of beach. However, the resilience of these estuarine beaches can also be enhanced by increasing protective elevation. Overall, the work demonstrates the value of applying these workflows and toolboxes during the engineering planning and design phase.
  • Workflow to Build Space-Time Cubes in ArcGIS Pro with High-Resolution Elevation Data

    Abstract: This Coastal and Hydraulics Engineering Technical Note (CHETN) presents a workflow to build space-time cubes (STCs) using high-resolution digital elevation models (DEMs). The workflow leverages ArcGIS Pro’s mosaic dataset architecture and multidimensional tools to analyze temporal changes across elevation datasets. This workflow is intended to (1) guide users who may not be familiar with STCs through a step-by-step workflow, (2) share a set of best practices, and (3) highlight considerations when using remotely sensed elevation datasets. This CHETN is a part of a larger effort to develop the next generation of volume change tools for application in the coastal environment.
  • Conceptual Sediment Budget Creation Using CorpsCam Imagery: Holland Harbor, Michigan

    Abstract: This Regional Sediment Management (RSM) technical note (TN) discusses the development of a conceptual sediment budget at Holland Harbor, Michigan, using CorpsCam imagery. Imagery from May 2020 through October 2021 was analyzed to calculate volume change along Ottawa Beach, just north of the entrance to Holland Harbor. Shoaling rates and longshore sediment transport rates were calculated to supplement the beach volume change rates, with a sediment budget developed as the final product. This is a companion piece to the ERDC/TN RSM-26-1, Conceptual Sediment Budget Creation Using CorpsCam Imagery: Lynnhaven Inlet, Virginia.
  • Conceptual Sediment Budget Creation Using CorpsCam Imagery: Lynnhaven Inlet, Virginia

    Abstract: This Regional Sediment Management technical note (RSM TN) discusses the development of a conceptual sediment budget at Lynnhaven Inlet, Virginia, using CorpsCam imagery. Analysis of imagery collected between September 2022 and July 2024 is used to calculate the volume change along the beaches adjacent to the inlet. The final budget incorporates shoaling change rates and estimated longshore-sediment transport rates. This is a companion piece to the ERDC/TN RSM-26-2 Conceptual Sediment Budget Creation Using CorpsCam Imagery: Holland, Michigan.
  • SandSnap Filtering Techniques

    Abstract: The aim of this Coastal and Hydraulics Laboratory Special Report is to elucidate the new SandSnap image filters. These SandSnap filters distinguish between high-quality and poor-quality images and enhance accuracy in high-quality images. To achieve this goal, a dataset of 5,000 photos was created and curated for this endeavor. Images were collected that had varying levels of focus, sedimentological conditions, foreign objects present, distances from the sediment bed, coin types, and geographic locations. This dataset was used to train multiple quality control check models and uncover beneficial correlations. Additionally, an existing dataset of high-quality images was analyzed using various filtering techniques to highlight key features, leading to higher-accuracy scores. Using the findings from both the high-quality and poor-quality datasets, SandSnap was updated to increase usability and efficiently identify images that may lead to poor results. This ensures that user results can be calculated in less than a minute, emphasizing the commitment to maintaining a fast and responsive model.
  • Living Shoreline in USACE Projects: A Review

    Abstract: The term living shoreline (LS) refers to the practice of shoreline stabilization using natural elements (e.g., vegetation, oysters, logs, etc.) in a way that maintains continuity and connectivity between terrestrial and aquatic habitats. This report provides a review of LS practices to assess the applicability of these engineering techniques for US Army Corps of Engineers (USACE) projects. Specifically, this review examines the current state of knowledge regarding LS efforts through evaluation of peer-reviewed literature, agency reports, web tools, applications, and relevant guidance. It is important to gain a deeper understanding of the potential ecological, engineering, environmental, and socioeconomic benefits in comparison with traditional gray infrastructure shoreline stabilization techniques. The National Oceanic and Atmospheric Administration (NOAA) encourages the use of LS as a shoreline stabilization technique along sheltered coasts (i.e., coasts not exposed to open ocean wave energy) to preserve and improve habitats and maintain their ecosystem services at the land–water interface. Research has examined aspects of LSs, but there are relevant knowledge gaps yet to be explored. Overall, there is a lot of information from different sources on LSs with limited application to USACE projects. Therefore, a consolidated planning and design consideration report specific to USACE is recommended.
  • Engineering With Nature: Natural Infrastructure for Mission Readiness at U.S. Navy and Marine Corps Installations

    Abstract: This book illustrates some of the current challenges and hazards experienced by military installations, and the content highlights activities at eight U.S. Navy and Marine Corps military installations to achieve increased resilience through natural infrastructure.
  • Comparison of Run-Up Models with Field Data

    Abstract: Run-up predictions are inherently uncertain, owing to ambiguities in phase-averaged models and inherent complexities of surf and swash-zone hydrodynamics. As a result, different approaches, ranging from simple algebraic expressions to computationally intensive phase-resolving models, have been used in attempt to capture the most relevant run-up processes. Studies quantifiably comparing these methods in terms of physical accuracy and computational speed are needed as new observation technologies and models become available. The current study tests the capability of the new swash formulation of the Coastal Modeling System (CMS) to predict 1D run-up statistics (R2%) collected during an energetic 3 week period on sandy dune-backed beach in Duck, North Carolina. The accuracy and speed of the debut CMS swash formulation is compared with one algebraic model and three other numerical models. Of the four tested numerical models, the CSHORE model computed the results fastest, and the CMS model results had the greatest accuracy. All four numerical models, including XBeach in surfbeat and nonhydrostatic modes, yielded half the error of the algebraic model tested. These findings present an encouraging advancement for phase-averaged coastal models, a critical step towards rapid prediction for near-time deterministic or long-term stochastic guidance.