Literature DB >> 25596349

Characterising phosphorus and nitrate inputs to a rural river using high-frequency concentration-flow relationships.

M J Bowes1, H P Jarvie2, S J Halliday3, R A Skeffington3, A J Wade3, M Loewenthal4, E Gozzard2, J R Newman2, E J Palmer-Felgate2.   

Abstract

The total reactive phosphorus (TRP) and nitrate concentrations of the River Enborne, southern England, were monitored at hourly interval between January 2010 and December 2011. The relationships between these high-frequency nutrient concentration signals and flow were used to infer changes in nutrient source and dynamics through the annual cycle and each individual storm event, by studying hysteresis patterns. TRP concentrations exhibited strong dilution patterns with increasing flow, and predominantly clockwise hysteresis through storm events. Despite the Enborne catchment being relatively rural for southern England, TRP inputs were dominated by constant, non-rain-related inputs from sewage treatment works (STW) for the majority of the year, producing the highest phosphorus concentrations through the spring-summer growing season. At higher river flows, the majority of the TRP load was derived from within-channel remobilisation of phosphorus from the bed sediment, much of which was also derived from STW inputs. Therefore, future phosphorus mitigation measures should focus on STW improvements. Agricultural diffuse TRP inputs were only evident during storms in the May of each year, probably relating to manure application to land. The nitrate concentration-flow relationship produced a series of dilution curves, indicating major inputs from groundwater and to a lesser extent STW. Significant diffuse agricultural inputs with anticlockwise hysteresis trajectories were observed during the first major storms of the winter period. The simultaneous investigation of high-frequency time series data, concentration-flow relationships and hysteresis behaviour through multiple storms for both phosphorus and nitrate offers a simple and innovative approach for providing new insights into nutrient sources and dynamics. Crown
Copyright © 2015. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Diffuse source; Eutrophication; Hysteresis; Nutrient dynamics; Point source; Source tracking

Year:  2015        PMID: 25596349     DOI: 10.1016/j.scitotenv.2014.12.086

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  9 in total

1.  Direct measurement of nutrient concentrations in freshwaters with a miniaturized analytical probe: evaluation and validation.

Authors:  D Copetti; L Valsecchi; A G Capodaglio; G Tartari
Journal:  Environ Monit Assess       Date:  2017-03-07       Impact factor: 2.513

2.  Iowa Stream Nitrate, Discharge and Precipitation: 30-Year Perspective.

Authors:  Christopher S Jones; Keith E Schilling; Ian M Simpson; Calvin F Wolter
Journal:  Environ Manage       Date:  2018-05-31       Impact factor: 3.266

3.  The application of high temporal resolution data in river catchment modelling and management strategies.

Authors:  L Crockford; S O'Riordain; D Taylor; A R Melland; G Shortle; P Jordan
Journal:  Environ Monit Assess       Date:  2017-08-21       Impact factor: 2.513

4.  Modeling the effect of land use/land cover on nitrogen, phosphorous and dissolved oxygen loads in the Velhas River using the concept of exclusive contribution area.

Authors:  Lília Maria de Oliveira; Philippe Maillard; Éber José de Andrade Pinto
Journal:  Environ Monit Assess       Date:  2016-05-06       Impact factor: 2.513

5.  Tempo-spatial dynamics of water quality and its response to river flow in estuary of Taihu Lake based on GOCI imagery.

Authors:  Chenggong Du; Yunmei Li; Qiao Wang; Ge Liu; Zhubin Zheng; Meng Mu; Yuan Li
Journal:  Environ Sci Pollut Res Int       Date:  2017-10-09       Impact factor: 4.223

6.  Using high-frequency phosphorus monitoring for water quality management: a case study of the upper River Itchen, UK.

Authors:  Gary R Fones; Adil Bakir; Janina Gray; Lauren Mattingley; Nick Measham; Paul Knight; Michael J Bowes; Richard Greenwood; Graham A Mills
Journal:  Environ Monit Assess       Date:  2020-02-18       Impact factor: 2.513

7.  Machine learning-based estimation of riverine nutrient concentrations and associated uncertainties caused by sampling frequencies.

Authors:  Shengyue Chen; Zhenyu Zhang; Juanjuan Lin; Jinliang Huang
Journal:  PLoS One       Date:  2022-07-13       Impact factor: 3.752

8.  Knowledge discovery from high-frequency stream nitrate concentrations: hydrology and biology contributions.

Authors:  Alice H Aubert; Michael C Thrun; Lutz Breuer; Alfred Ultsch
Journal:  Sci Rep       Date:  2016-08-30       Impact factor: 4.379

Review 9.  Handling the phosphorus paradox in agriculture and natural ecosystems: Scarcity, necessity, and burden of P.

Authors:  Peter Leinweber; Ulrich Bathmann; Uwe Buczko; Caroline Douhaire; Bettina Eichler-Löbermann; Emmanuel Frossard; Felix Ekardt; Helen Jarvie; Inga Krämer; Christian Kabbe; Bernd Lennartz; Per-Erik Mellander; Günther Nausch; Hisao Ohtake; Jens Tränckner
Journal:  Ambio       Date:  2018-01       Impact factor: 5.129

  9 in total

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