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  • The Quick Response Toolbox User’s Guide

    Abstract: Regional-scale beach morphology, volume, and shoreline changes are quantified using the Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX) ArcGIS Python toolboxes. This user’s guide details the JALBTCX toolbox framework and the operation of the Quick Response Toolbox. A walkthrough for each individual step within the toolbox will be presented along with example data from Homer, Alaska. Best practices and example data and figures are included as additional documentation for new users.
  • Development of a Hydrogen-Fuel-Cell Emergency Response Vehicle: H2Rescue for Energy and Water Resilience

    Abstract: The successful fulfilment of the US Corps of Engineers’ civil and military missions relies on both mitigating and adapting to environmental insecurities. The prototype hydrogen-fuel-cell emergency response vehicle, H2Rescue, was built and tested to aid in disaster relief. A collaboration across government agencies and with Accelera by Cummins resulted in successful demonstrations of this vehicle, as described in this technical re-port. Additionally, researchers examined the broader economic and infra-structural factors to determine how soon such a vehicle might be mass-produced. Recommendations are given as to how a technology transfer of this research and development effort could be enacted, including the path forward for a future version of this prototype.
  • Evaluating High Water Indicators Along Lake Powell’s Shoreline, Utah-Arizona

    Purpose: This document is a technical note (TN) that outlines how to evaluate physical, chemical, biological, and statistical indicators of the ordinary high water mark (OHWM) for reservoirs of the Arid West, with identification of high water indicators around Lake Powell serving as a case study (Figure 1). The focus of this TN is to describe observed indicators, the processes that shape them, and how to put the information in context based on past and present water levels. It can be particularly complicated to evaluate evidence of OHWM in arid west lakes, because of the years of drought that has occurred in this region, leaving indicators high and dry over years. Therefore, this TN also provides information on how to apply the same weight-of-evidence (WoE) approach that was introduced for OHWM delineation in rivers and streams by David et al. (2025) to arid west lakes and reservoirs. Lake Powell is used as a case study to show how to interpret the indicators along the lake and evaluate the relevance, strength, and reliability of these indicators in relation to high water stage in the lake.
  • Local Integrated-Technology Energy System to Meet Operational Needs (LITES ON) Project

    Abstract: The ability to reliably charge battery systems, whether for vehicles, mission support equipment, or stationary purposes, is especially important in remote and cold regions. The US Army Cold Regions Research and Engineering Laboratory (CRREL) project team evaluated and documented the performance of potential photovoltaic (PV) battery charging configurations (e.g., controller component) for use in such regions, especially as backup alternatives to other grid-connected charging stations that support Army installations, with a unique focus on the power electronics components of the system. In addition to its potential to support building energy resilience, this work complements other work that considers electrification of the DoD fleet of vehicles and the needed grid-connected infrastructure. This work adds to the growing information available on lithium ion (Li-ion) battery performance in cold regions by monitoring the battery performance as part of the test configuration. The results help better inform design and performance requirements needed for cold regions applications as well as the acquisition of such systems.
  • Continuous Real-Time Acoustic Monitoring of Endangered Bird Species in Hawai‛i

    Abstract: The decline of endemic bird species in Hawai‘i requires innovative conservation measures enabled by passive acoustic monitoring (PAM). This paper describes a novel real-time PAM system used in the Pōhakuloa Training Area (PTA) to reduce wildlife collisions and minimize disruptions to military operations while ensuring the protection of endangered bird species such as the Nēnē and ‘Akē‘akē. The system is based on the BirdNET algorithm and was evaluated with over 16,000 soundscape recordings from Hawai‘i. The results show that the model version HI V2.0, based on BirdNET and specifically adapted to Hawaiian bird species, showed the clearest separation between true and false positive detections (average precision 49% to 52%), although this difference was not statistically significant. However, accuracy varied considerably between species and locations, emphasizing the need to adapt the models to the specific conditions of use. A novel web application allows immediate visualization of the predicted bird species, facilitating the implementation of conservation measures. The three acoustic monitoring units installed at the PTA in January 2023 demonstrate the system’s potential for continuous monitoring and protection of Hawaiian endangered bird species.
  • Cracking the Code: Linking Good Modeling and Coding Practices for New Ecological Modelers

    Abstract: Good modeling practices are essential for producing reliable and reproducible ecological models. Inherent to good modeling practices are fundamental coding and documentation skills, which not only implement the desired modeling capabilities but also clearly outline the goals, methods, and components of a model necessary to reproduce desired results. Coding represents a significant barrier for entry into ecological modeling, since most ecologists have not had formal training in computer science or software development. While software packages do exist that facilitate model development, we have observed that newer modelers still struggle with developing good coding practice throughout the modeling process. During a series of agent-based modeling short-courses and full semester graduate courses, both taught in NetLogo, we identified some common challenges encountered by graduate students and environmental professionals as they learn to code an ecological model, many for the first time. We were able to categorize and provide examples of the main challenges and obstacles, which fell into three main groups that follow the steps of good modeling practice: problem scoping and conceptualization, formulation, and evaluation. We then provide guidance on how to overcome these obstacles while developing good coding and modeling practices that will result in more scientifically defensible models.
  • Parameterized Statistical Distributions of Unique Origin-Destination Pairs for Major Waterborne Commodity Groups

    Abstract: Modeling the spatiotemporal aspects of freight movements within a distributed network is crucial to forecasting transportation infrastructure needs, prioritizing investments, and estimating emissions. Commodity flow patterns and trends along the inland waterway transportation system are significant because of their importance for the economy, in line with priorities of the US Committee on the Marine Transportation System. Analyzing these inland waterway flows better informs multimodal freight transportation modeling. This exploratory research uncovers, describes, and summarizes patterns and trends of the US waterway transportation system by mining waterborne freight data. The purpose of this work is to identify parameterized statistical distributions that describe the relative dispersion of unique waterborne Origin-Destination (OD) pairs when sorted high to low by annual freight tonnage. Best-fit statistical distributions and associated parameters are identified for the leading commodities transported on waterways, and an 11-year time-series analysis of commodity-specific distribution parameters provide their evolution across time. Results show that the power law best explains the distribution of ranked ODs by tonnage for seven of the twelve commodities analyzed. The root-mean-square error (RMSE) of any given commodity modeled is less than 1%. These results provide insights into the underlying behavior of inland waterway freight transportation.
  • Examining the Impact of the 2007 Zaca Fire on the Long-Term Hydrological Recovery of the Santa Cruz Creek Watershed in Southern California

    Abstract: This study focuses on the Santa Cruz Creek watershed in Southern California, an area severely impacted by the 2007 Zaca Fire. The region is representative of wildfire-prone Mediterranean-climate catchments. We assess long-term post-fire hydrological recovery using a novel dual approach: (1) simulating 16 storm events over a 23-year period to evaluate pre-fire, post-fire, and recovery conditions, and (2) directly comparing two similar storm events—one pre-fire and one during recovery—to isolate changes in watershed response. Hydrological modeling employed HEC-HMS with the Deficit and Constant Loss Method, the ModClark Transform Model, and the Linear Reservoir Baseflow Model. Remote sensing data, including Enhanced Vegetation Index and SERVES Soil Moisture, enhanced modeling and analysis. Vegetation cover, soil moisture, and several watershed parameters show substantial recovery after five years. EVI reached 84 % of pre-fire values, while initial soil moisture deficit, time of concentration, and storage coefficient each recovered to roughly 70 %. Fast baseflow exceeded pre-fire levels at 143 %, but slow baseflow declined to 20 %. Peak discharge and direct runoff volume declined from post-fire highs of 173 % and 136 % to 125 % and 84 % of pre-fire levels, respectively. Although vegetative conditions stabilize, watershed hydrology remains altered.
  • Bioturbation Increases Time Averaging Despite Promoting Shell Disintegration: A Test Using Anthropogenic Gradients in Sediment Accumulation and Burrowing on the Southern California Shelf

    Abstract: Bioturbation increases time averaging of young and old shells within the entire mixed layer and accelerating the burial of shells into a sequestration zone. Bioirrigation by oxygenated pore-water promotes carbonate dissolution in the TAZ, and biomixing itself can mill shells weakened by dissolution or microbial maceration, and/or expose them to damage at the sediment–water interface. We fit transition rate matrices to bivalve age–frequency distributions from four sediment cores to assess the competing effects of bioturbation on disintegration and time averaging. Disintegration covaries positively with mixing at all four sites. Mixing and disintegration rates decline abruptly at the base of the 20- to 40-cm-thick, age-homogenized surface mixed layer at the three well-bioturbated sites. In contrast, they are very low in the upper 25 cm at an effluent site with legacy sediment toxicity. Assemblages formed during maximum wastewater emissions vary strongly in time averaging. Thus, even though disintegration rates covary positively with mixing rates, reducing postmortem shell survival, bioturbation has the net effect of increasing the time averaging of skeletal remains on this warm-temperate siliciclastic shelf.
  • Coastal Sand Dunes: A Review of Management Strategies for Dune Stabilization

    Abstract: The primary objective of this technical note is to provide a US-centric review on historic and current management approaches for dune stabilization efforts. This includes methods for promoting dune formation via natural aeolian processes, as well as more hands-on management approaches, including hybrid dune construction.