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Mike Bowes

UK Centre for Ecology & Hydrology

UK

SCHOLARLY PAPERS

4

DOWNLOADS

144

TOTAL CITATIONS

1

Scholarly Papers (4)

1.

Transferability of a Bayesian Belief Network Across Diverse Agricultural Catchments Using High-Frequency Hydrochemistry and Land Management Data

Number of pages: 31 Posted: 02 Apr 2024 Last Revised: 13 Aug 2024
University of Reading, Biomathematics and Statistics Scotland, University of Reading, Teagasc Environmental Research Centre, The James Hutton Institute, UK Centre for Ecology & Hydrology, University of Stirling and The James Hutton Institute
Downloads 44 (1,145,425)

Abstract:

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hybrid network, expert elicitation, model universality, sensitivity analysis

2.

Hydrodynamics and Phosphorus Loading in an Urbanised River Channel Influences Response to Future Managed Change: Insights from Advection-Dispersion Modelling

Number of pages: 25 Posted: 05 Apr 2023
affiliation not provided to SSRN, Babes-Bolyai University - Faculty of Chemistry and Chemical Engineering, UK Centre for Ecology & Hydrology, affiliation not provided to SSRN, UK Centre for Ecology & Hydrology and UK Centre for Ecology & Hydrology
Downloads 44 (1,133,231)

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phosphorus in-river transformations, water quality model, pollution mitigation, phosphorus load, nature-based solutions, afforestation

3.

Temporal Drivers of Tryptophan-Like Fluorescent Dissolved Organic Matter Along a River Continuum

Number of pages: 40 Posted: 19 Dec 2023
affiliation not provided to SSRN, affiliation not provided to SSRN, British Geological Survey, UK Centre for Ecology & Hydrology, UK Centre for Ecology & Hydrology, UK Centre for Ecology & Hydrology, UK Centre for Ecology & Hydrology, UK Centre for Ecology & Hydrology, UK Centre for Ecology & Hydrology, UK Centre for Ecology & Hydrology, UK Centre for Ecology & Hydrology, affiliation not provided to SSRN, University of Surrey and University of Surrey
Downloads 36 (1,249,711)

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Fluorescent organic matter, Tryptophan-Like, Microbial Processing, Insitu Microbial Production, Catchment characteristics

4.

Interpretation of River Water Quality Data is Strongly Controlled by Measurement Time and Frequency

Number of pages: 45 Posted: 26 Jul 2024
affiliation not provided to SSRN, affiliation not provided to SSRN, Cardiff University, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Bristol, UK Centre for Ecology & Hydrology and affiliation not provided to SSRN
Downloads 20 (1,459,862)
Citation 1

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Water quality, High-resolution data, Monitoring frequency, Sampling bias, Data variability, Diurnal cycling