Determination of flushing characteristics of the Irish Sea: A spatial approach

Dabrowski, Tomasz; Hartnett, Michael; Olbert, Agnieszka Indiana

doi:10.1016/j.cageo.2011.11.023

Cited by 22 publications

(10 citation statements)

References 28 publications

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“…5) has an impact for the full duration of the study and is not limited to the initial few days or months. This is a consequence of the renewal time for water within the Irish Sea being of the order a year (Bowen, 1980;Dabrowski et al, 2012). At Site A the simulation is improved, although the salinity is now over predicted (Fig.…”

Section: Irish Sea Model Salinity Time-seriesmentioning

confidence: 95%

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Impact of operational model nesting approaches and inherent errors for coastal simulations

et al. 2016

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A region of freshwater influence (ROFI) under hypertidal conditions is used to demonstrate inherent problems for nested operational modelling systems. Such problems can impact the accurate simulation of freshwater export within shelf seas, so must be considered in coastal ocean modelling studies. In Liverpool Bay (our UK study site), freshwater inflow from 3 large estuaries forms a coastal front that moves in response to tides and winds. The cyclic occurrence of stratification and remixing is important for the biogeochemical cycles, as nutrient and pollutant loaded freshwater is introduced into the coastal system. Validation methods, using coastal observations from fixed moorings and cruise transects, are used to assess the simulation of the ROFI, through improved spatial structure and temporal variability of the front, as guidance for best practise model setup. A structured modelling system using a 180 m grid nested within a 1.8 km grid demonstrates how compensation for error at the coarser resolution can have an adverse impact on the nested, high resolution application. Using 2008, a year of typical calm and stormy periods with variable river influence, the sensitivities of the ROFI dynamics to initial and boundary conditions are investigated. It is shown that accurate representation of the initial water column structure is important at the regional scale and that the boundary conditions are most important at the coastal scale. Although increased grid resolution captures the frontal structure, the accuracy in frontal position is determined by the offshore boundary conditions and therefore the accuracy of the coarser regional model.

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Section: Irish Sea Model Salinity Time-seriesmentioning

confidence: 95%

“…The short (1 month) spin-up time is less than the flushing time for water in both the Irish Sea (~ 1 year, Bowden, 1980;Dabrowski et al, 2012) and Liverpool Bay (~ 136 days, Phelps et al, 2013) . This allows all the applied biases to the initial conditions, to have an influence on the model results within the study period.…”

Section: Model Scenariosmentioning

confidence: 99%

Impact of operational model nesting approaches and inherent errors for coastal simulations

et al. 2016

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“…Figure 14 shows the frequency distribution curves of the four water level regimes calculated from the spatial distributions of the residence times. Generally, the steeper the frequency distribution curve, the less variation in the residence time values for any hydrological system [3]. The characteristic shapes of the curves indicate that although large portions of the lake are characterized by similar residence times, places with sharp τe gradients can be expected (Figure 14).…”

Section: Spatial Distribution Of the Residence Time And Physical Intementioning

confidence: 95%

“…One important physical attribute of lakes is the transport time scale (e.g., residence time, water age, flushing time, and travel time) that describes the lake's ability to renew the water contained within it via water level regime dynamics [3,4]. Although the time scale concept was designed to characterize the transport processes of lakes, this scale does not have a universally accepted definition.…”

Section: Introductionmentioning

confidence: 99%

“…Hydrodynamic models combined with dye-tracer simulations are used to explore pollutant transport processes and associated residence time (or travel time) in different water bodies, such as the tidal-driven York River estuary (USA) [33], the Venice Lagoon (Italy) [8], Lake Tana (Ethiopia) [34], the Irish Sea (Irish) [3] and Mediterranean lagoons (Italy and Spain) [35]. These previous studies indicate that hydrodynamic models are efficient for investigating the transport time scale (e.g., residence time and travel time) because both advection and dispersion processes are considered using a combined dye tracer-based approach.…”

Section: Introductionmentioning

confidence: 99%

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Investigation of Residence and Travel Times in a Large Floodplain Lake with Complex Lake-River Interactions: Poyang Lake (China)

Zhang

Yao

2015

Water

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Most biochemical processes and associated water quality in lakes depends on their flushing abilities. The main objective of this study was to investigate the transport time scale in a large floodplain lake, Poyang Lake (China). A 2D hydrodynamic model (MIKE 21) was combined with dye tracer simulations to determine residence and travel times of the lake for various water level variation periods. The results indicate that Poyang Lake exhibits strong but spatially heterogeneous residence times that vary with its highly seasonal water level dynamics. Generally, the average residence times are less than 10 days along the lake's main flow channels due to the prevailing northward flow pattern; whereas approximately 30 days were estimated during high water level conditions in the summer. The local topographically controlled flow patterns substantially increase the residence time in some bays with high spatial values of six months to one year during all water level variation periods. Depending on changes in the water level regime, the travel times from the pollution sources to the lake outlet during the high and falling water level periods (up to 32 days) are four times greater than those under the rising and low water level periods (approximately seven days). OPEN ACCESSWater 2015, 7 1992

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An optimization model of sewage discharge in an urban wetland based on the multi-objective wolf pack algorithm

Dou

Jia

2019

Environ Monit Assess

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Determination of flushing characteristics of the Irish Sea: A spatial approach

Cited by 22 publications

References 28 publications

Impact of operational model nesting approaches and inherent errors for coastal simulations

Impact of operational model nesting approaches and inherent errors for coastal simulations

Investigation of Residence and Travel Times in a Large Floodplain Lake with Complex Lake-River Interactions: Poyang Lake (China)

An optimization model of sewage discharge in an urban wetland based on the multi-objective wolf pack algorithm

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