Home > Research > Publications & Outputs > A method for uncertainty constraint of catchmen...

Research

Associated organisational units

Links

Text available via DOI:

View graph of relations

A method for uncertainty constraint of catchment discharge and phosphorus load estimates

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

A method for uncertainty constraint of catchment discharge and phosphorus load estimates. / Hollaway, Michael John; Beven, Keith John; Benskin, Clare McWilliam Haldane et al.
In: Hydrological Processes, Vol. 32, No. 17, 15.08.2018, p. 2779-2787.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Hollaway, MJ, Beven, KJ, Benskin, CMH, Collins, AL, Evans, R, Falloon, PD, Forber, KJ, Hiscock, KM, Kahana, R, Macleod, CJA, Ockenden, M, Villamizar, ML, Wearing, CL, Withers, PJA, Zhou, J, Barber, NJ & Haygarth, PM 2018, 'A method for uncertainty constraint of catchment discharge and phosphorus load estimates', Hydrological Processes, vol. 32, no. 17, pp. 2779-2787. https://doi.org/10.1002/hyp.13217

APA

Hollaway, M. J., Beven, K. J., Benskin, C. M. H., Collins, A. L., Evans, R., Falloon, P. D., Forber, K. J., Hiscock, K. M., Kahana, R., Macleod, C. J. A., Ockenden, M., Villamizar, M. L., Wearing, C. L., Withers, P. J. A., Zhou, J., Barber, N. J., & Haygarth, P. M. (2018). A method for uncertainty constraint of catchment discharge and phosphorus load estimates. Hydrological Processes, 32(17), 2779-2787. https://doi.org/10.1002/hyp.13217

Vancouver

Hollaway MJ, Beven KJ, Benskin CMH, Collins AL, Evans R, Falloon PD et al. A method for uncertainty constraint of catchment discharge and phosphorus load estimates. Hydrological Processes. 2018 Aug 15;32(17):2779-2787. Epub 2018 Jul 19. doi: 10.1002/hyp.13217

Author

Hollaway, Michael John ; Beven, Keith John ; Benskin, Clare McWilliam Haldane et al. / A method for uncertainty constraint of catchment discharge and phosphorus load estimates. In: Hydrological Processes. 2018 ; Vol. 32, No. 17. pp. 2779-2787.

Bibtex

@article{703bad6794fb48098a407395960e4fc0,
title = "A method for uncertainty constraint of catchment discharge and phosphorus load estimates",
abstract = "River discharge and nutrient measurements are subject to aleatory and epistemic uncertainties. In this study, we present a novel method for estimating these uncertainties in colocated discharge and phosphorus (P) measurements. The “voting point”‐based method constrains the derived stage‐discharge rating curve both on the fit to available gaugings and to the catchment water balance. This helps reduce the uncertainty beyond the range of available gaugings and during out of bank situations. In the example presented here, for the top 5% of flows, uncertainties are shown to be 139% using a traditional power law fit, compared with 40% when using our updated “voting point” method. Furthermore, the method is extended to in situ and lab analysed nutrient concentration data pairings, with lower uncertainties (81%) shown for high concentrations (top 5%) than when a traditional regression is applied (102%). Overall, for both discharge and nutrient data, the method presented goes some way to accounting for epistemic uncertainties associated with nonstationary physical characteristics of the monitoring site.",
author = "Hollaway, {Michael John} and Beven, {Keith John} and Benskin, {Clare McWilliam Haldane} and Collins, {Adrian L} and Robert Evans and Falloon, {Peter D.} and Forber, {Kirsty Jessica} and Hiscock, {Kevin M} and Ron Kahana and Macleod, {Christopher J.A.} and Mary Ockenden and Villamizar, {Martha L.} and Wearing, {Catherine Louise} and Withers, {Paul John Anthony} and Jian Zhou and Barber, {N. J.} and Haygarth, {Philip Matthew}",
year = "2018",
month = aug,
day = "15",
doi = "10.1002/hyp.13217",
language = "English",
volume = "32",
pages = "2779--2787",
journal = "Hydrological Processes",
issn = "0885-6087",
publisher = "John Wiley and Sons Ltd",
number = "17",

}

RIS

TY - JOUR

T1 - A method for uncertainty constraint of catchment discharge and phosphorus load estimates

AU - Hollaway, Michael John

AU - Beven, Keith John

AU - Benskin, Clare McWilliam Haldane

AU - Collins, Adrian L

AU - Evans, Robert

AU - Falloon, Peter D.

AU - Forber, Kirsty Jessica

AU - Hiscock, Kevin M

AU - Kahana, Ron

AU - Macleod, Christopher J.A.

AU - Ockenden, Mary

AU - Villamizar, Martha L.

AU - Wearing, Catherine Louise

AU - Withers, Paul John Anthony

AU - Zhou, Jian

AU - Barber, N. J.

AU - Haygarth, Philip Matthew

PY - 2018/8/15

Y1 - 2018/8/15

N2 - River discharge and nutrient measurements are subject to aleatory and epistemic uncertainties. In this study, we present a novel method for estimating these uncertainties in colocated discharge and phosphorus (P) measurements. The “voting point”‐based method constrains the derived stage‐discharge rating curve both on the fit to available gaugings and to the catchment water balance. This helps reduce the uncertainty beyond the range of available gaugings and during out of bank situations. In the example presented here, for the top 5% of flows, uncertainties are shown to be 139% using a traditional power law fit, compared with 40% when using our updated “voting point” method. Furthermore, the method is extended to in situ and lab analysed nutrient concentration data pairings, with lower uncertainties (81%) shown for high concentrations (top 5%) than when a traditional regression is applied (102%). Overall, for both discharge and nutrient data, the method presented goes some way to accounting for epistemic uncertainties associated with nonstationary physical characteristics of the monitoring site.

AB - River discharge and nutrient measurements are subject to aleatory and epistemic uncertainties. In this study, we present a novel method for estimating these uncertainties in colocated discharge and phosphorus (P) measurements. The “voting point”‐based method constrains the derived stage‐discharge rating curve both on the fit to available gaugings and to the catchment water balance. This helps reduce the uncertainty beyond the range of available gaugings and during out of bank situations. In the example presented here, for the top 5% of flows, uncertainties are shown to be 139% using a traditional power law fit, compared with 40% when using our updated “voting point” method. Furthermore, the method is extended to in situ and lab analysed nutrient concentration data pairings, with lower uncertainties (81%) shown for high concentrations (top 5%) than when a traditional regression is applied (102%). Overall, for both discharge and nutrient data, the method presented goes some way to accounting for epistemic uncertainties associated with nonstationary physical characteristics of the monitoring site.

U2 - 10.1002/hyp.13217

DO - 10.1002/hyp.13217

M3 - Journal article

VL - 32

SP - 2779

EP - 2787

JO - Hydrological Processes

JF - Hydrological Processes

SN - 0885-6087

IS - 17

ER -