Estuaries of southwest England: Salinity, suspended particulate matter, loss-on-ignition and morphology

Uncles, R.J.; Stephens, John A.; Harris, Carolyn

doi:10.1016/j.pocean.2015.04.030

Cited by 17 publications

(2 citation statements)

References 57 publications

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“…The classification results were different in the Bristol Channel, where concentration of sediments was relatively high. No collocated in situ suspended particulate matter are available, but this is well known area of intense bottom resuspension of sediments and river runoff (Uncles, 2010;Uncles et al, 2015). In Experiment 1 (Figures 5A,B) the classifier, trained on satellite data, discriminated this region as HAB.…”

Section: Detection Of Habs In Satellite Datamentioning

confidence: 99%

Sensitivity of a Satellite Algorithm for Harmful Algal Bloom Discrimination to the Use of Laboratory Bio-optical Data for Training

et al. 2020

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Early detection of dense harmful algal blooms (HABs) is possible using ocean colour remote sensing. Some algorithms require a training dataset, usually constructed from satellite images with a priori knowledge of the existence of the bloom. This approach can be limited if there is a lack of in situ observations, coincident with satellite images. A laboratory experiment collected biological and bio-optical data from a culture of Karenia mikimotoi, a harmful phytoplankton dinoflagellate. These data showed characteristic signals in chlorophyll-specific absorption and backscattering coefficients. The bio-optical data from the culture and a bio-optical model were used to construct a training dataset for an existing statistical classifier. MERIS imagery over the European continental shelf were processed with the classifier using different training datasets. The differences in positive rates of detection of K. mikimotoi between using an algorithm trained with purely manually selected areas on satellite images and using laboratory data as training was overall <1%. The difference was higher, <15%, when using modeled optical data rather than laboratory data, with potential for improvement if local average chlorophyll concentrations are used. Using a laboratory-derived training dataset improved the ability of the algorithm to distinguish high turbidity from high chlorophyll concentrations. However, additional in situ observations of non-harmful high chlorophyll blooms in the area would improve testing of the ability to distinguish harmful from non-harmful high chlorophyll blooms. This approach can be expanded to use additional wavelengths, different satellite sensors and different phytoplankton genera.

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Section: Detection Of Habs In Satellite Datamentioning

confidence: 99%

Sensitivity of a Satellite Algorithm for Harmful Algal Bloom Discrimination to the Use of Laboratory Bio-optical Data for Training

et al. 2020

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“…1) have been the subject of various studies in the past principally in terms of mining impacts on estuarine sediments/sedimentation (e.g. Pirrie et al, 1999Pirrie et al, , 2000Pascoe, 2005;Brew and Gibberd, 2009;Uncles et al, 2015) and sediments characterisation (e.g. Oyedotun et al, 2012Oyedotun et al, , 2013 but no regional synthesis of contemporary behaviour has yet been attempted.…”

Section: Regional and Local Setting: Southwest England Case Studymentioning

confidence: 99%

Comparable short-term morphodynamics of three estuarine–coastal systems in the southwest coastal region of England, UK

Oyedotun

Burningham²

2019

Regional Studies in Marine Science

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Here, we describe and compare the changes in low tide channel position and the morphology of the three estuaries in southwest England from an analysis of contemporary (2008-2016) topographic surveys. The Hayle, Gannel, and Camel estuaries and their adjacent opencoast shorelines were subject of various studies in the past principally in terms of mining impacts on estuarine sediments and sedimentation, but no regional synthesis of the contemporary behaviour has yet been attempted. Light Detection and Ranging (LiDAR) data for the north coast of Cornwall are analysed for planform morphological changes of the systems. At the annual scale, intertidal bars and sandwaves migrate across the foreshore and into the inlet region, where flood-oriented and wave-forced movement is evident. This is evidenced at all the estuarine systems considered here. However, the steep upstream slope of the Hayle is almost devoid of bedforms, while the shallower upstream slope of the Gannel comprises similar scaled bedforms to the whole flood delta, and the megaripples of Camel flood delta are smaller on the backslope. Over the short-term covered by the LiDAR data considered here, there was no significant storm surges, and a relatively consistent wave climate. The occurrence of strong onshore wave conditions are possibly the drivers of contemporary behaviour, and with the inner estuary intertidal currents, for the movements of sediments within the estuarine environment, thereby causing the re-organisation of sediments and the shifting of channel position.

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Climate: Climate Variability and Climate Change

González

2022

Springer Textbooks in Earth Sciences, Geography and Environment

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Estuaries of southwest England: Salinity, suspended particulate matter, loss-on-ignition and morphology

Cited by 17 publications

References 57 publications

Sensitivity of a Satellite Algorithm for Harmful Algal Bloom Discrimination to the Use of Laboratory Bio-optical Data for Training

Sensitivity of a Satellite Algorithm for Harmful Algal Bloom Discrimination to the Use of Laboratory Bio-optical Data for Training

Comparable short-term morphodynamics of three estuarine–coastal systems in the southwest coastal region of England, UK

Climate: Climate Variability and Climate Change

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