The Influence of Storms on Water Quality and Phytoplankton Dynamics in the Tidal James River

2016 ◽  
Vol 40 (1) ◽  
pp. 80-94 ◽  
Author(s):  
Katherine C. Filippino ◽  
Todd A. Egerton ◽  
William S. Hunley ◽  
Margaret R. Mulholland
Keyword(s):  
Water Quality ◽  
Phytoplankton Dynamics ◽  
James River

scholarly journals Atlantic sturgeon movements in relation to a cutterhead dredge in the James River, Virginia

2021 ◽  
Author(s):  
Matthew Balazik ◽  
Safra Altman ◽  
Kevin Reine ◽  
Alan Katzenmeyer
Keyword(s):  
Water Quality ◽  
Field Study ◽  
Technical Note ◽  
Atlantic Sturgeon ◽  
James River ◽  
Acipenser Oxyrinchus ◽  
Reduced Water

This technical note describes a field study investigating the movements of federally endangered Atlantic sturgeon, Acipenser oxyrinchus oxyrinchus (ATS), during the summer and fall of 2017 near a cutterhead dredge working in the James River, Virginia, to provide data addressing the concern about the potential impacts of dredging activities (for example, excavation, transit, disposal, sounds, reduced water quality) on the ATS.

Water quality of a coastal lagoon (ES, Brazil): abiotic aspects, cytogenetic damage, and phytoplankton dynamics

2017 ◽  
Vol 24 (11) ◽  
pp. 10855-10868 ◽  
Author(s):  
Ian Drumond Duarte ◽  
Nayara Heloisa Vieira Fraga Silva ◽  
Iara da Costa Souza ◽  
Larissa Bassani de Oliveira ◽  
Lívia Dorsch Rocha ◽  
...  
Keyword(s):  
Water Quality ◽  
Coastal Lagoon ◽  
Phytoplankton Dynamics ◽  
Cytogenetic Damage

Modelling sub-daily phytoplankton dynamics and analysing primary production controls in the lower Thames catchment, UK

2020 ◽  
Author(s):  
Devanshi Pathak ◽  
Michael Hutchins ◽  
François Edwards
Keyword(s):  
Water Quality ◽  
Primary Production ◽  
Water Temperature ◽  
High Frequency ◽  
Phytoplankton Growth ◽  
Quality Data ◽  
Phytoplankton Dynamics ◽  
Water Quality Data ◽  
River Thames ◽  
The Impact

<p>River phytoplankton provide food for primary consumers, and are a major source of oxygen in many rivers. However, high phytoplankton concentrations can hamper river water quality and ecosystem functioning, making it crucial to predict and prevent harmful phytoplankton growth in rivers. In this study, we modify an existing mechanistic water quality model to simulate sub-daily changes in water quality, and present its application in the River Thames catchment. So far, the modelling studies in the River Thames have focused on daily to weekly time-steps, and have shown limited predictive ability in modelling phytoplankton concentrations. With the availability of high-frequency water quality data, modelling tools can be improved to better understand process interactions for phytoplankton growth in dynamic rivers. The modified model in this study uses high-frequency water quality data along a 62 km stretch in the lower Thames to simulate river flows, water temperature, nutrients, and phytoplankton concentrations at sub-daily time-steps for 2013-14. Model performance is judged by percentage error in mean and Nash-Sutcliffe Efficiency (NSE) statistics. The model satisfactorily simulates the observed diurnal variability and transport of phytoplankton concentrations within the river stretch, with NSE values greater than 0.7 at all calibration sites. Phytoplankton blooms develop within an optimum range of flows (16-81 m<sup>3</sup>/s) and temperature (11-18° C), and are largely influenced by phytoplankton growth and death rate parameters. We find that phytoplankton growth in the lower Thames is mainly limited by physical controls such as residence time, light, and water temperature, and show some nutrient limitation arising from phosphorus depletion in summer. The model is tested under different future scenarios to evaluate the impact of changes in climate and management conditions on primary production and its controls. Our findings provide support for the argument that the sub-daily modelling of phytoplankton is a step forward in better prediction and management of phytoplankton dynamics in river systems.</p>

scholarly journals Spatial Analysis of a Chesapeake Bay Sub-Watershed: How Land Use and Precipitation Patterns Impact Water Quality in the James River

Water ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 1592
Author(s):  
Kristina A. Delia ◽  
Christa R. Haney ◽  
Jamie L. Dyer ◽  
Varun G. Paul
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Land Cover ◽  
Chesapeake Bay ◽  
Quality Indicators ◽  
Assessment Tool ◽  
Residential Development ◽  
Forest Land ◽  
James River ◽  
Water Quality Indicators

Changes in land cover throughout the Chesapeake Bay watershed, accompanied by variability in climate patterns, can impact runoff and water quality. A study was conducted using the Soil and Water Assessment Tool (SWAT) for the James River watershed in Virginia, the southernmost tributary of the Chesapeake Bay, from 1986 to 2018, in order to evaluate factors that affect water quality in the river. This research focuses on statistical analysis of land use, precipitation, and water quality indicators. Land cover changes derived from satellite imagery and geographic information system (GIS) tools were compared with water quality parameters throughout that timeframe. Marked decreases in forest land cover were observed throughout the watershed, as well as increased residential development. Our findings suggest strong links between land cover modification, such as residential development, and degraded water quality indicators such as nitrogen, phosphorus, and sediment. In addition, we note direct improvements in water quality when forest land areas are preserved throughout the watershed.

Two decades of tropical cyclone impacts on North Carolina’s estuarine carbon, nutrient and phytoplankton dynamics: implications for biogeochemical cycling and water quality in a stormier world

2018 ◽  
Vol 141 (3) ◽  
pp. 307-332 ◽  
Author(s):  
Hans W. Paerl ◽  
Joseph R. Crosswell ◽  
Bryce Van Dam ◽  
Nathan S. Hall ◽  
Karen L. Rossignol ◽  
...  
Keyword(s):  
Water Quality ◽  
Tropical Cyclone ◽  
Biogeochemical Cycling ◽  
Phytoplankton Dynamics
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