Articles | Volume 21, issue 12
https://doi.org/10.5194/hess-21-6425-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-6425-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Prediction of storm transfers and annual loads with data-based mechanistic models using high-frequency data
Mary C. Ockenden
Lancaster Environment Centre, Lancaster University, Bailrigg,
Lancaster, LA1 4YQ, England, UK
Wlodek Tych
Lancaster Environment Centre, Lancaster University, Bailrigg,
Lancaster, LA1 4YQ, England, UK
Keith J. Beven
Lancaster Environment Centre, Lancaster University, Bailrigg,
Lancaster, LA1 4YQ, England, UK
Adrian L. Collins
Rothamsted Research North Wyke,
Okehampton, Devon, EX20 2SB, England, UK
Robert Evans
Global Sustainability
Institute, Anglia Ruskin University, Cambridge, CB1 1PT, England, UK
Peter D. Falloon
Met Office Hadley Centre, Exeter, Devon, EX1 3PB, England, UK
Kirsty J. Forber
Lancaster Environment Centre, Lancaster University, Bailrigg,
Lancaster, LA1 4YQ, England, UK
Kevin M. Hiscock
School of Environmental Sciences, Norwich Research Park, University
of East Anglia, Norwich, NR4 7TJ, England, UK
Michael J. Hollaway
Lancaster Environment Centre, Lancaster University, Bailrigg,
Lancaster, LA1 4YQ, England, UK
Ron Kahana
Met Office Hadley Centre, Exeter, Devon, EX1 3PB, England, UK
Christopher J. A. Macleod
James Hutton
Institute, Aberdeen, AB15 8QH, Scotland, UK
Martha L. Villamizar
School of Engineering,
Liverpool University, Liverpool, L69 3GQ, England, UK
Catherine Wearing
Lancaster Environment Centre, Lancaster University, Bailrigg,
Lancaster, LA1 4YQ, England, UK
Paul J. A. Withers
School of
Environment, Natural Resources and Geography, Bangor University, Bangor,
Gwynedd, LL57 2UW, Wales, UK
Jian G. Zhou
School of Computing, Mathematics &
Digital Technology, Manchester Metropolitan University, Manchester, M1 5GD,
UK
Clare McW. H. Benskin
Lancaster Environment Centre, Lancaster University, Bailrigg,
Lancaster, LA1 4YQ, England, UK
Sean Burke
British Geological Survey, Keyworth, Nottingham, NG12 5GG,
England, UK
Richard J. Cooper
School of Environmental Sciences, Norwich Research Park, University
of East Anglia, Norwich, NR4 7TJ, England, UK
Jim E. Freer
School of Geographical Sciences, University of
Bristol, Bristol, BS8 1SS, UK
Philip M. Haygarth
CORRESPONDING AUTHOR
Lancaster Environment Centre, Lancaster University, Bailrigg,
Lancaster, LA1 4YQ, England, UK
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Cited
8 citations as recorded by crossref.
- Identifying Surface Runoff Pathways for Cost-Effective Mitigation of Pollutant Inputs to Drinking Water Reservoir J. Dąbrowska et al. 10.3390/w10101300
- Experimental warming promotes CO2 uptake but hinders carbon incorporation toward higher trophic levels in cyanobacteria-dominated freshwater communities M. Colina et al. 10.1016/j.scitotenv.2024.171029
- The Role of Attenuation and Land Management in Small Catchments to Remove Sediment and Phosphorus: A Modelling Study of Mitigation Options and Impacts R. Adams et al. 10.3390/w10091227
- Identifying Flow Pathways for Phosphorus Transport Using Observed Event Forensics and the CRAFT (Catchment Runoff Attenuation Flux Tool) R. Adams et al. 10.3390/w12041081
- Processes and mechanisms controlling nitrate dynamics in an artificially drained field: Insights from high-frequency water quality measurements W. Liu et al. 10.1016/j.agwat.2020.106032
- Detecting pollutant sources and pathways: High-frequency automated online monitoring in a small rural French/German transborder catchment A. Meyer et al. 10.1016/j.jenvman.2021.112619
- Characterization of Export Regimes in Concentration–Discharge Plots via an Advanced Time-Series Model and Event-Based Sampling Strategies A. Gonzalez-Nicolas et al. 10.3390/w13131723
- Application of high-resolution telemetered sensor technology to develop conceptual models of catchment hydrogeological processes R. Cooper et al. 10.1016/j.hydroa.2018.100007
8 citations as recorded by crossref.
- Identifying Surface Runoff Pathways for Cost-Effective Mitigation of Pollutant Inputs to Drinking Water Reservoir J. Dąbrowska et al. 10.3390/w10101300
- Experimental warming promotes CO2 uptake but hinders carbon incorporation toward higher trophic levels in cyanobacteria-dominated freshwater communities M. Colina et al. 10.1016/j.scitotenv.2024.171029
- The Role of Attenuation and Land Management in Small Catchments to Remove Sediment and Phosphorus: A Modelling Study of Mitigation Options and Impacts R. Adams et al. 10.3390/w10091227
- Identifying Flow Pathways for Phosphorus Transport Using Observed Event Forensics and the CRAFT (Catchment Runoff Attenuation Flux Tool) R. Adams et al. 10.3390/w12041081
- Processes and mechanisms controlling nitrate dynamics in an artificially drained field: Insights from high-frequency water quality measurements W. Liu et al. 10.1016/j.agwat.2020.106032
- Detecting pollutant sources and pathways: High-frequency automated online monitoring in a small rural French/German transborder catchment A. Meyer et al. 10.1016/j.jenvman.2021.112619
- Characterization of Export Regimes in Concentration–Discharge Plots via an Advanced Time-Series Model and Event-Based Sampling Strategies A. Gonzalez-Nicolas et al. 10.3390/w13131723
- Application of high-resolution telemetered sensor technology to develop conceptual models of catchment hydrogeological processes R. Cooper et al. 10.1016/j.hydroa.2018.100007
Latest update: 16 Aug 2024
Short summary
This paper describes simple models of phosphorus load which are identified for three catchments in the UK. The models use new hourly observations of phosphorus load, which capture the dynamics of phosphorus transfer in small catchments that are often missed by models with a longer time step. Unlike more complex, process-based models, very few parameters are required, leading to low parameter uncertainty. Interpretation of the dominant phosphorus transfer modes is made based solely on the data.
This paper describes simple models of phosphorus load which are identified for three catchments...