Application of Numerical Models for Water Quality Studies.

Falconer, Roger Alexander

doi:10.1680/icien.1993.25304

Cited by 6 publications

(2 citation statements)

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“…Several studies have been conducted to evaluate the coastal water quality spatiotemporally along the east coast of Indian coastal waters using site-specific data and model configuration (Panda et al, 2006;Bharathi et al, 2017;Naik et al, 2020;Mohanty et al, 2021). Through numerical modeling and remote sensing, estimation is user-friendly and low-cost in evaluating any water quality (Fallconer, 1993;Kageyama and Nishida, 2000;Brando and Dekker, 2003;El-Din et al, 2013); still, the field data are essential to validate the model and correct of ground value to the remote data. In situIn-situ sampling and laboratory analysis are more accurate than modeling and remote sensing data, while the remote sensing data provide better spatiotemporal resolution than the data obtained from in situ samplings (Miller and McKee, 2004;Wu et al, 2014), and numerical modeling infers spatiotemporal and water column information.…”

Section: Introductionmentioning

confidence: 99%

Coupled hydrodynamic and water quality modeling in the coastal waters off Chennai, East Coast of India

et al. 2022

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Section: Introductionmentioning

confidence: 99%

Coupled hydrodynamic and water quality modeling in the coastal waters off Chennai, East Coast of India

et al. 2022

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“…However, residence times are extremely difficult to measure in the field and estimates are usually obtained via mathematical modelling. In recent years there has been an increase in the use of sophisticated multi-dimensional models for solving the hydrodynamic and constituent transport equations which govern the flushing of pollution (Koutitas, 1988;Casulli and Cheng, 1992;Falconer, 1993;Wu and Tsanis, 1994;Li and Falconer, 1995;Rajar and Sirca, 1996;Fuentes et al, 1999). However, such models are time consuming to develop and may require high spatial resolution and small time-steps for stability.…”

Section: Introductionmentioning

confidence: 99%

A Simplified Model for Predicting the Pollution Exchange Coefficient of Small Tidal Embayments

Barber

Wearing²

2004

Water, Air, & Soil Pollution: Focus

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In recent years there has been a significant increase in the development and application of ever more sophisticated multi-dimensional models for solving the hydrodynamic and constituent transport equations which govern the flushing of pollution. However, advanced numerical modelling techniques can sometimes be augmented by alternative mathematical approaches which use simplified analytical solutions to predict the dispersion of contaminants. In the present article, a novel analytical tidal prism model is described for predicting the pollution flushing characteristics of small tidal embayments. The model relates the water quality response of the basin to the external forcing effects of the tide, the initial pollutant loading and the freshwater inflow rate. In general, the pollution flushing not only depends upon the geometry of the embayment and the tidal range but also on the proportion of effluent water which leaves the basin on an ebb tide, mixes with the surrounding coastal water and returns on subsequent flood tides. This effect has been taken into account in the mathematical model by the inclusion of a 'pollution-return' parameter. The analytical approach offers a viable and computationally inexpensive alternative to conventional multi-dimensional pollutant transport simulations and, more importantly, provides an increased understanding of the flushing characteristics of semi-enclosed tidal basins. The efficiency of the tidal flushing can be expressed in terms of the pollution exchange coefficient which measures the proportion of water exchanged with the sea each tidal cycle. To demonstrate the accuracy of the proposed mathematical formulation, analytical water quality predictions are compared against experimental pollution data from a 1:400 scale laboratory model of a generic square harbour. The results demonstrate that the analytical approach provides a simple and robust method of determining the water quality response of well-mixed tidal embayments.

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