20 Aug 2025

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.

20 Aug 2025

Trade-offs Between Field and Remote Geomorphic Monitoring of Coastal Marsh Restoration Sites

Abstract: Coastal marsh restoration presents geomorphic monitoring challenges because these sites are often remote or inaccessible, and time and financial resources for field data may be limited. Yet, elevation and shoreline characteristics contribute to the overall health and longevity of coastal marshes. The expansion of Uncrewed Aircraft System (UAS) technology and new satellite platforms offer opportunities to complement ground-based geomorphic monitoring and overcome the challenges of traditional field methods. Here, we compare field-based and remote-sensing approaches to monitor two restored coastal wetlands in Louisiana. At Spanish Pass, methods for measuring site elevation, shoreline position, and shoreline geomorphic types were compared. Ground surveys strongly correlated with UAS-lidar digital elevation model (DEM) elevations (R2 = 0.97. UAS and satellite imagery were accurate to within 3 meters of field-shoreline positions, and UAS-lidar-derived shorelines had the lowest error. At LaBranche, UAS-lidar DEM data were paired with airborne lidar and legacy ground surveys to track temporal changes in elevation, indicating minimal elevation change. The study demonstrates the accuracy and utility of satellite and UAS remote sensing for monitoring shoreline positions and elevations but notes that shoreline classifications could be improved with additional quantification. These findings help practitioners assess the trade-offs and benefits of various monitoring methods.

19 Aug 2025

Do Land Models Miss Key Soil Hydrological Processes Controlling Soil Moisture Memory?

Abstract: Soil moisture memory is critical for understanding climatic, hydrological, and ecosystem interactions. Most land surface models overestimate surface soil moisture and its persistency, sustaining spuriously large soil surface evaporation during dry-down periods. Do LSMs miss or misrepresent key hydrological processes controlling SMM? We used Noah-MP with advanced hydrology that represents preferential flow and surface ponding and provides optional schemes of soil hydraulics. Effects were tested, which are generally missed by LSMs in SMM. We compare SMMs computed from various Noah-MP configurations against that derived from the Soil Moisture Active Passive L3 soil moisture and in situ measurements from the International Soil Moisture Network between 2015 to 2019 over the contiguous US. Results suggest soil hydraulics plays a dominant role and the Van Genuchten hydraulic scheme reduces overestimation of the long-term surface SMM produced by the Brooks–Corey scheme; explicitly representing surface ponding enhances SMM for the surface layer and the root zone; and representing preferential flow improves overall representation of soil moisture dynamics. The combination of these missing schemes can significantly improve the long-term memory overestimation and short-term memory underestimation issues in LSMs. LSMs for use in seasonal-to-subseasonal climate prediction should, at least, adopt the Van Genuchten hydraulic scheme.

19 Aug 2025

Numerical Modeling of Coastal Processes with Beneficial Use of Dredged Sediment in the Nearshore at Jekyll Island, Georgia

Abstract: This report provides numerical model results to assist the US Army Corps of Engineers–Savannah District (SAS). These results evaluate beneficial use alternatives for the sediment from an advance maintenance widener of the Brunswick Harbor Entrance Channel between stations −14+000 and −28+000. This study applied a coastal wave, hydrodynamic and sediment transport model (Coastal Modeling System), and a shoreline change model (GenCade), focusing on developing and simulating placement alternatives. Subaerial placement model results indicate better shore and beach preservation than at the nearshore nourishment. Placing sediment closer to the “transition zone” between the revetment and natural beach will increase the volume of sand that remains in that area. Some sediment is predicted to return to the channel, but these volumes are small fractions of the placed material. GenCade results indicate that the transition zone rock debris decreases shoreline erosion. Removing it has less impact on that area than any of the subaerial nourishments, but this prediction does not include profile equilibration that may occur after the first 4 months. Overall, model results indicate that subaerial placement will have strong positive response at the eroding beach, and related increases to channel infilling rates are relatively small.

19 Aug 2025

Bioaccumulation in Fish (Cyprinodon variegatus) During Rejuvenations of a Thin Active Cap over Field-Aged PCB Contaminated Sediment: The Effect of Clean Versus Contaminated Ongoing Influx

Abstract: Repeated addition of activated carbon (AC) via the water column was applied to rejuvenate sorption capacity of thin AC-amended sand caps placed over polychlorinated biphenyl- (PCB) contaminated marine bed sediment receiving ongoing input of sediment (contaminated or clean) in mesocosms. Bioaccumulation of PCBs in sheepshead minnows (Cyprinodon variegatus) from bed sediment was reduced by repeated application of reju-venating AC when the ongoing input was contaminated. However, when the input sediment was clean, the novel AC addition increased fish uptake of bedded PCBs in the first 60-days of the 90-day experiments. The 79 % increase of bedded PCB bioaccumulation in fish, for clean versus contaminated inputs, was statistically signifi-cant (p < 0.05) in experiments where the rejuvenating AC was applied. Equilibrium concentrations in low- density polyethylene (LDPE) passive samplers did not fully explain bioaccumulation. Field implications of this research include setting appropriate temporal expectations of this novel remediation strategy regarding the primary desired effect (i.e., PCB bioavailability reductions).

19 Aug 2025

Cooperative Molecular Interaction-Based Highly Efficient Capturing of Ultrashort- and Short-Chain Emerging Per- and Polyfluoroalkyl Substances Using Multifunctional Nanoadsorbents

Abstract: The short-chain and ultrashort-chain per- and polyfluoroalkyl substances are bioaccumulative, carcinogenic to humans, and harder to remove using current technologies. Herein, we report the development of nonafluorobutane-sulfonyl and polyethylene-imine -conjugated Fe3O4 magnetic nanoparticle-based magnetic nanoadsorbents and demonstrated the novel adsorbent has the capability for highly efficient removal of six different short- and ultrashort-chain PFAS from drinking and environmental water samples. Reported experimental data indicates by capitalizing the cooperative hydrophobic, fluorophilic, and electrostatic interaction processes, NFBS-PEI-conjugated magnetic nanoadsorbents can remove ~100% short-chain perfluorobutanesulfonic acid within 30 min from the water sample with a maximum absorption capacity qm of ~234 mg g−1. Furthermore, to show how cooperative interactions are necessary for effective capturing of ultrashort and short PFAS, a comparative study has been performed using PEI-attached magnetic nanoadsorbents without NFBS and acid-functionalized magnetic nanoadsorbents without PEI and NFBS. Reported data show the ultrashort-chain perfluoropropanesulfonic acid capture efficiency is the highest for the NFBS-PEI-attached nanoadsorbent. Moreover, reported data demonstrate that nanoadsorbents can be used for effective removal of short-chain PFAS and ultrashort-chain PFAS simultaneously from reservoir, lake, tape, and river water samples within 30 min, which shows the potential of nanoadsorbents for real-life PFAS remediation.

18 Aug 2025

Coupled Modeling to Support Evaluation of Mission-Assurance Risk from Disruption of Water Infrastructure

Abstract: Coupled modeling refers to the combined use of hydraulic models, graphical models, and existing datasets to analyze water distribution networks. Most DoD installations already possess rich planning and asset management datasets that can be leveraged to provide deep in-sights into their water infrastructure; however, installations rarely use them for increasing the resilience of their systems. This study develops strategies for assessing, integrating, and analyzing these sources into a coupled model designed to inform installations’ water-infrastructure resilience planning, wargaming, and project generation. The performance of coupled models was evaluated for accuracy, specificity, interoperability with DoD systems, enterprise applicability, responsiveness to DoD policy, and decision support. The study team encountered a few implementation issues, but none affected the study’s timeline or funding. One issue was that the hydraulic modeling software, Innovyze Infowater, was purchased by AutoDesk, which should be considered for installations evaluating software purchases. Another issue was data accuracy; tests for data validation showed that some data were incorrect. Coupled approaches can help to better identify where these errors may be. Regarding the issue of model interoperability, by default, the models were not fully compatible for the model simulation or for geospatial data, but both were addressed in this study.

18 Aug 2025

Bare Ground Classification Using a Spectral Index Ensemble and Machine Learning Models Optimized Across 12 International Study Sites

Abstract: This research investigates a global approach to map bare ground across diverse geographies with an ensemble of spectral indices using optimal thresholds identified in testing to train and evaluate machine learning models to extract bare ground pixels from Sentinel-2 imagery. Twelve locations in four Köppen climate zones with data from two seasons were evaluated. Accuracy assessment showed a mean F1 score of 80% and a mean Overall Accuracy (OA) of 81% for random forest and an F1 score of 78% and OA of 79% for support vector machine. Higher accuracies were observed in climate region-based models with mean F1 = 84% in three of four climate zones. Low accuracies occurred in winter imagery with leaf-off tree cover or building materials similar to bare ground. This framework provides a global approach to map bare ground without need for high-density time-series or deep learning models and moves beyond locally effective methods.

18 Aug 2025

Archaeogenomic Analysis of Chesapeake Atlantic Sturgeon Illustrates Shaping of Its Populations in Recovery from Severe Overexploitation

Abstract: Atlantic sturgeon (Acipenser oxyrinchus ssp. oxyrinchus) has been a food resource in North America for millennia. However, industrial-scale fishing activities following the establishment of European colonies led to multiple collapses of sturgeon stocks, driving populations such as those in the Chesapeake area close to extinction. While recent conservation efforts have been successful in restoring census numbers, little is known regarding genomic consequences of the population bottleneck. Here, we characterize its effect on present-day population structuring and genomic diversity in James River populations. To establish a pre-collapse baseline, we collected genomic data from archaeological remains from Middle Woodland Maycock’s Point (c. 200–900 CE), as well as Jamestown and Williamsburg colonial sites. Demographic analysis of recovered mitogenomes reveals a historical collapse in effective population size, also reflected in diminished present-day mitogenomic diversity and structure. We infer that James River fall- and spring-spawning populations likely took shape in recent years of population recovery, where genetic drift enhanced the degree of population structure. The mismatch of mitogenomic lineages to geographical–seasonal groupings implies that despite their homing instinct and differential adaptation manifested as season-specific behaviour, colonization of new rivers has been a key ecological strategy for Atlantic sturgeon over evolutionary timescales.

18 Aug 2025

Coastal Environments: LiDAR Mapping of Copper Tailings Impacts, Particle Retention of Copper, Leaching, and Toxicity

Abstract: Tailings generated by mining account for the largest world-wide waste from industrial activities. Copper is relatively uncommon, with low concentrations in sediments and waters, yet is very elevated around mining operations. On the Keweenaw Peninsula, 140 mines extracted native copper from the Portage Lake Volcanic Series, part of an intercontinental rift system. Between 1901 and 1932, two mills at Gay sluiced 22.7 million metric tonnes of copper-rich tailings into Grand Traverse Bay. About 10 MMT formed a beach which migrated 7 km to the Traverse River Seawall. Another 11 MMT are moving underwater along the coastal shelf, threatening Buffalo Reef. Remote sensing techniques documented geospatial environmental impacts and initial phases of remediation. Aerial photos, ALS LiDAR/MSS surveys, and recent UAS overflights aid comprehensive mapping efforts. Because natural beach quartz and basalt stamp sands are silicates of similar size and density, percentage stamp sand determinations utilise microscopic procedures. Copper leaching is elevated by exposure to high DOC and low pH waters, characteristic of riparian environments. Lab and field toxicity experiments, plus benthic sampling, all confirm serious impacts of tailings on aquatic organisms. Mining companies should end coastal discharges and also adopt the UNEP “Global Tailings Management Standard for the Mining Industry”.