Mathematical model to identify nitrogen variability in large rivers

E. C. Ani, M. Hutchins, A. Kraslawski, P. S. Agachi

Research output: Contribution to journalArticle

7 Citations (Scopus)

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. The study of ammonium and nitrate has highlighted temporal variability in processes, with maximum nitrification and denitrification rates during autumn. Results show that ADModel is able to predict the main trend of measured concentration with reasonable accuracy and accounts for temporal changes in water flow and pollutant load along the river. Prediction accuracy could be improved through more detailed modelling of transformation processes by taking into account the variability of factors for which existing data were insufficient to allow representation. For example, modelling indicates that interactions with bed sediment may provide an additional source of nutrients during high spring flows.

Original languageEnglish
Pages (from-to)1216-1236
Number of pages21
JournalRiver Research and Applications
Volume27
Issue number10
DOIs
Publication statusPublished - Dec 1 2011

Fingerprint

Nitrogen
Rivers
Mathematical models
Nutrients
nutrient
nitrogen
river
modeling
Water quality
water quality
unsteady flow
pollutant transport
seasonality
Nitrification
river water
nitrification
denitrification
Denitrification
water flow
advection

All Science Journal Classification (ASJC) codes

  • Environmental Chemistry
  • Water Science and Technology
  • Environmental Science(all)

Cite this

Ani, E. C. ; Hutchins, M. ; Kraslawski, A. ; Agachi, P. S. / Mathematical model to identify nitrogen variability in large rivers. In: River Research and Applications. 2011 ; Vol. 27, No. 10. pp. 1216-1236.
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Mathematical model to identify nitrogen variability in large rivers. / Ani, E. C.; Hutchins, M.; Kraslawski, A.; Agachi, P. S.

In: River Research and Applications, Vol. 27, No. 10, 01.12.2011, p. 1216-1236.

Research output: Contribution to journalArticle

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