Modeling study of dredging induced sediment plume transport in Hamilton Harbour

He, Cheng; Chittibabu, P.; Graham, Matthew

doi:10.1139/cjce-2019-0805

Cited by 3 publications

(6 citation statements)

References 17 publications

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“…Plumes, naturally generated or invoked by human activity, have been studied by multiple researchers for many years. [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19] Johansen et al released two different dyes in a Red Sea location to study coastal water flow dynamics. The group tracked the dye plumes with an unmanned aerial vehicle (UAV) and high spatial-resolution SkySat satellite imagery using object detection, region growing, and AI methods.…”

Section: Introductionmentioning

confidence: 99%

“…There is much interest in the plume that is generated due to the seafloor disturbance, 7 including from mining. 8 Other groups modeled the sediment plume from the real-time plume 9 and dredging operations 10 and to study transport of contaminants. 11 Yang et al 12 simulated interactions between a moving plate and sediment plume, and Iles et al 13 explored the sediment plume motion and evolution in MODIS satellite imagery.…”

Section: Introductionmentioning

confidence: 99%

“…Plumes, naturally generated or invoked by human activity, have been studied by multiple researchers for many years 1 – 19 Johansen et al. released two different dyes in a Red Sea location to study coastal water flow dynamics.…”

Section: Introductionmentioning

confidence: 99%

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Plume motion characterization in unmanned aerial vehicle aerial video and imagery

Mehrubeoglu,

Cammarata,

Zhang

et al. 2024

J. Appl. Rem. Sens.

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Sediment plumes are generated from both natural and human activities in benthic environments, increasing the turbidity of the water and reducing the amount of sunlight reaching the benthic vegetation. Seagrasses, which are photosynthetic bioindicators of their environment, are threatened by chronic reductions in sunlight, impacting entire aquatic food chains. Our research uses unmanned aerial vehicle (UAV) aerial video and imagery to investigate the characteristics of sediment plumes generated by a model of anthropogenic disturbance. The extent, speed, and motion of the plumes were assessed as these parameters may pertain to the potential impacts of plume turbidity on seagrass communities. In a case study using UAV video, the turbidity plume was observed to spread more than 200 ft over 20 min of the UAV campaign. The directional speed of the plume was estimated to be between 10.4 and 10.6 ft/min. This was corroborated by observation of the greatest plume turbidity and sediment load near the location of the disturbance and diminishing with distance. Further temporal studies are necessary to determine any longterm impacts of human activity-generated sediment plumes on seagrass beds.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Plume motion characterization in unmanned aerial vehicle aerial video and imagery

Mehrubeoglu,

Cammarata,

Zhang

et al. 2024

J. Appl. Rem. Sens.

View full text Add to dashboard Cite

show abstract

“…Plume, naturally generated or invoked by human activity, have been studied by multiple researchers for many years [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19] . Johansen et al released two different dyes in a Red Sea location to study coastal water flow dynamics.…”

Section: Introductionmentioning

confidence: 99%

“…There is much interest in plume that is generated due to seafloor disturbance 7 including mining 8 . Other groups modeled sediment plume from real-time plume 9 and dredging operations 10 , and to study transport of contaminants 11 . Yang et al simulated interactions between a moving plate and sediment plume 12 whereas Iles explored sediment plume motion and evolution in MODIS satellite imagery 13 .…”

Section: Introductionmentioning

confidence: 99%

Plume motion characterization in UAV aerial video and imagery

Mehrübeoğlu

Cammarata

Zhang

et al. 2023

Real-Time Image Processing and Deep Learning 2023

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Sediment plumes are generated from both natural and human activities in benthic environments, increasing the turbidity of the water and reducing the amount of sunlight reaching the benthic vegetation. Seagrasses, which are photosynthetic bioindicators of their environment, are threatened by chronic reductions in sunlight, impacting entire aquatic food chains. This research uses UAV aerial video and imagery to investigate the characteristics of sediment plumes generated by a model of anthropogenic disturbance. The extent, speed and motion of the plumes were assessed as these parameters may pertain to the potential impacts of plume turbidity on seagrass communities. In a case study using UAV video, the turbidity plume was observed to spread over 250 feet over 20 minutes of the UAV campaign. The directional speed of the plume was estimated to be between 10.4 and 10.6 ft/min. This was corroborated by observation of greatest plume turbidity and sediment load near the location of disturbance and diminishing with distance. Further temporal studies are necessary to determine long-term, if any, impacts of human activity-generated sediment plumes on seagrass beds.

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Toward the development of an ecosystem model ensemble to support adaptive management in Lake Ontario

Neumann,

Fernando,

Saber

et al. 2024

Environ. Rev.

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Notwithstanding the continuing advancement of our understanding of the broader ecosystem functioning in Lake Ontario, emerging evidence suggests that there are fundamental knowledge gaps to accurately describe the relationship between exogenous phosphorus (P) loading and in-lake total phosphorus (TP) concentrations. The whole-lake load appears to frequently exceed the target of 7,000 t·year-1, although the offshore-water P concentrations are consistently below the water-quality objective of 10 μg TP·L–1. Contrasting ecological conditions can prevail in different locations of Lake Ontario, owing to the significant urban footprint along the shoreline but also the capacity of dreissenid mussels to sequester P in the littoral zone. Specifically, low ambient P levels threaten fisheries productivity in the offshore waters, while nuisance benthic algae (Cladophora) and toxin-producing cyanobacteria blooms affect the aesthetics/water quality in the nearshore zone. The present study offers a technical analysis of the recent and on-going modelling work that has been conducted in Lake Ontario, and can be potentially used to address the multitude of ecosystem management challenges. Our aim is to provide an overview of all the major models developed in the area by identifying their fundamental assumptions, structural attributes, and general consistency against empirical knowledge derived from the system. The existing modelling work opted for parsimonious representations of the lower food web coupled with granular grid configurations to effectively link hydrodynamic processes and mass transport between nearshore and offshore waters. The establishment of comprehensive ecophysiological modules that will recreate the mechanisms underlying the interplay among bioavailable phosphorus, planktonic dynamics, dreissenid mussels, and Cladophora is a critical undertaking to reproduce the water quality conditions in the nearshore zone of Lake Ontario. Striving to integrate the lower food web with fisheries and ecosystem-service modelling, we also offer a technical analysis on knowledge gaps and monitoring-assessment objectives that should be addressed to ensure that ecosystem processes of management interest are adequately measured and the local modelling enterprise is focused on suitable performance indicators.

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Modeling study of dredging induced sediment plume transport in Hamilton Harbour

Cited by 3 publications

References 17 publications

Plume motion characterization in unmanned aerial vehicle aerial video and imagery

Plume motion characterization in unmanned aerial vehicle aerial video and imagery

Plume motion characterization in UAV aerial video and imagery

Toward the development of an ecosystem model ensemble to support adaptive management in Lake Ontario

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