Mathematical model to identify nitrogen variability in large rivers

Journal article

Authors / Editors

Agachi, Paul

Research Areas

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Publication Details

Author list: Ani EC, Hutchins M, Kraslawski A, Agachi PS

Publisher: Wiley: 12 months

Place: MALDEN

Publication year: 2011

Journal: River Research and Applications (1535-1459)

Journal acronym: RIVER RES APPL

Volume number: 27

Issue number: 10

Start page: 1216

End page: 1236

Number of pages: 21

ISSN: 1535-1459

eISSN: 1535-1467

Languages: English-Great Britain (EN-GB)

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Abstract

The river Swale in Yorkshire, northern England has been the subject of many studies concerning water quality. This paper builds on existing data resources and previous 1D river water quality modelling applications at daily resolution (using QUESTOR) to provide a different perspective on understanding pollution, through simulation of the short-term dynamics of nutrient transport along the river. The two main objectives are (1) building, calibration and evaluation of a detailed mathematical model (Advection-Dispersion Model: ADModel), for nutrient transport under unsteady flow conditions and (2) the development of methods for estimating key parameters characterizing pollutant transport (velocity, dispersion coefficient and transformation rates) as functions of hydrological parameters and/or seasonality.

Keywords

dispersion coefficient, Nitrogen, nutrient dynamics, pollutant transformation, pollutant transport modelling, QUESTOR, river Swale, River water quality, transport parameter model

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