Literature DB >> 24789044

Understanding nutrient biogeochemistry in agricultural catchments: the challenge of appropriate monitoring frequencies.

M Z Bieroza1, A L Heathwaite, N J Mullinger, P O Keenan.   

Abstract

We evaluate different frequencies of riverine nutrient concentration measurement to interpret diffuse pollution in agricultural catchments. We focus on three nutrient fractions, nitrate-nitrogen (NO3-N), total reactive phosphorus (TRP) and total phosphorus (TP) observed using conventional remote laboratory-based, low-frequency sampling and automated, in situ high-frequency monitoring. We demonstrate the value of low-frequency routine nutrient monitoring in providing long-term data on changes in surface water and groundwater nutrient concentrations. By contrast, automated high-frequency nutrient observations provide insight into the fine temporal structure of nutrient dynamics in response to a full spectrum of flow dynamics. We found good agreement between concurrent in situ and laboratory-based determinations for nitrate-nitrogen (Pearson's R = 0.93, p < 0.01). For phosphorus fractions: TP (R = 0.84, p < 0.01) and TRP (R = 0.79, p < 0.01) the relationships were poorer due to the underestimation of P fractions observed in situ and storage-related changes of grab samples. A detailed comparison between concurrent nutrient data obtained by the hourly in situ automated monitoring and weekly-to-fortnightly grab sampling reveals a significant information loss at the extreme range of nutrient concentration for low-frequency sampling.

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Year:  2014        PMID: 24789044     DOI: 10.1039/c4em00100a

Source DB:  PubMed          Journal:  Environ Sci Process Impacts        ISSN: 2050-7887            Impact factor:   4.238


  4 in total

1.  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

2.  Nitrate uptake in an agricultural stream estimated from high-frequency, in-situ sensors.

Authors:  Christopher S Jones; Sea-Won Kim; Thomas F Wilton; Keith E Schilling; Caroline A Davis
Journal:  Environ Monit Assess       Date:  2018-03-17       Impact factor: 2.513

3.  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

4.  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

  4 in total

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