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Modelling flow and inorganic nitrogen dynamics on the Hampshire Avon: Linking upstream processes to downstream water quality.
Jin, Li; Whitehead, Paul G; Heppell, Catherine M; Lansdown, Katrina; Purdie, Duncan A; Trimmer, Mark.
Afiliação
  • Jin L; Geology Department, State University of New York College at Cortland, Cortland, NY 13045, USA. Electronic address: li.jin@cortland.edu.
  • Whitehead PG; School of Geography and the Environment, University of Oxford, South Parks Road, Oxford OX1 3QY, UK.
  • Heppell CM; The School of Geography, Queen Mary University of London, Mile End Road, London E1 4NS, UK.
  • Lansdown K; The School of Geography, Queen Mary University of London, Mile End Road, London E1 4NS, UK; School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK.
  • Purdie DA; Ocean & Earth Science, University of Southampton, National Oceanography Centre, Southampton, European Way, Southampton, SO14 3ZH, UK.
  • Trimmer M; School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK.
Sci Total Environ ; 572: 1496-1506, 2016 Dec 01.
Article em En | MEDLINE | ID: mdl-26953139
Managing diffuse pollution in catchments is a major issue for environmental managers planning to meet water quality standards and comply with the EU Water Framework Directive. A major source of diffuse pollution is from nitrogen, with high nitrate concentrations affecting water supplies and in-stream ecology. A dynamic, process based model of flow, nitrate and ammonium (INCA-N) has been applied to the Hampshire Avon as part of the NERC Macronutrient Cycles Programme to link upstream and downstream measurements of water chemistry. The model has been calibrated and validated against Environment Agency discharge and solute chemistry data, as well as a data set collected from a river site immediately upstream of the estuary tidal limit. Upstream measurements of denitrification at six sites have been used to evaluate nitrate removal rates in vegetated and non-vegetated conditions. Results show that sediments underlying vegetation were associated with significantly higher rates of nitrate removal than un-vegetated sediments (with an average increase of 245%). These data have been used to scale up rates of nitrate loss to the whole catchment scale and have been implemented via the model. The effects of streambed geology and macrophyte cover on catchment-scale nitrogen dynamics are explored and nutrient fluxes entering the estuary are evaluated. The model is used to test a strategy for nitrogen reduction assessed using a nitrate vulnerable zone (NVZ) methodology. It suggests that nitrate and ammonium concentrations could be reduced by 10% in 10years and much lower nitrogen level can be achieved but only over a long time period.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Movimentos da Água / Compostos de Amônio / Nitratos Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Movimentos da Água / Compostos de Amônio / Nitratos Idioma: En Ano de publicação: 2016 Tipo de documento: Article