Fitting concentration and load rating curves with generalized linear models.

Lancaster Environment Centre

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Fitting concentration and load rating curves with generalized linear models. / Cox, Nicholas J.; Warburton, Jeff; Armstrong, Alona et al.
In: Earth Surface Processes and Landforms, Vol. 33, No. 1, 01.2008, p. 25-39.

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

Harvard

Cox, NJ, Warburton, J, Armstrong, A & Holliday, VJ 2008, 'Fitting concentration and load rating curves with generalized linear models.', Earth Surface Processes and Landforms, vol. 33, no. 1, pp. 25-39. https://doi.org/10.1002/esp.1523

APA

Cox, N. J., Warburton, J., Armstrong, A., & Holliday, V. J. (2008). Fitting concentration and load rating curves with generalized linear models. Earth Surface Processes and Landforms, 33(1), 25-39. https://doi.org/10.1002/esp.1523

Vancouver

Cox NJ, Warburton J, Armstrong A, Holliday VJ. Fitting concentration and load rating curves with generalized linear models. Earth Surface Processes and Landforms. 2008 Jan;33(1):25-39. doi: 10.1002/esp.1523

Author

Cox, Nicholas J. ; Warburton, Jeff ; Armstrong, Alona et al. / Fitting concentration and load rating curves with generalized linear models. In: Earth Surface Processes and Landforms. 2008 ; Vol. 33, No. 1. pp. 25-39.

Bibtex

@article{229626f757ba4154b250cdb0dc3d0f1e,

title = "Fitting concentration and load rating curves with generalized linear models.",

abstract = "Generalized linear models may be used as a systematic and flexible alternative to existing practices in fitting sediment or solute concentration and load rating curves. Through widely available statistical software they offer a one-step solution to the common and awkward problem that a bias correction is needed when estimating total loads. In particular, using a logarithmic link function has an advantage over logarithmic transformation of concentration or load, as generalized linear models return predictions directly on the original measured scale; there is thus no need for back-transformation or subsequent correction factors. Example analyses are given for suspended sediment concentration for an upland stream in the Northern Pennines and for phosphorus load for the Illinois River. General criteria for choosing models and good practice in the use of figures of model merit and of residual plots are also discussed in detail.",

keywords = "rivers • rating curves • suspended sediment • dissolved load • generalized linear models",

author = "Cox, {Nicholas J.} and Jeff Warburton and Alona Armstrong and Holliday, {Victoria J.}",

year = "2008",

month = jan,

doi = "10.1002/esp.1523",

language = "English",

volume = "33",

pages = "25--39",

journal = "Earth Surface Processes and Landforms",

issn = "1096-9837",

publisher = "Wiley",

number = "1",

}

RIS

TY - JOUR

T1 - Fitting concentration and load rating curves with generalized linear models.

AU - Cox, Nicholas J.

AU - Warburton, Jeff

AU - Armstrong, Alona

AU - Holliday, Victoria J.

PY - 2008/1

Y1 - 2008/1

N2 - Generalized linear models may be used as a systematic and flexible alternative to existing practices in fitting sediment or solute concentration and load rating curves. Through widely available statistical software they offer a one-step solution to the common and awkward problem that a bias correction is needed when estimating total loads. In particular, using a logarithmic link function has an advantage over logarithmic transformation of concentration or load, as generalized linear models return predictions directly on the original measured scale; there is thus no need for back-transformation or subsequent correction factors. Example analyses are given for suspended sediment concentration for an upland stream in the Northern Pennines and for phosphorus load for the Illinois River. General criteria for choosing models and good practice in the use of figures of model merit and of residual plots are also discussed in detail.

AB - Generalized linear models may be used as a systematic and flexible alternative to existing practices in fitting sediment or solute concentration and load rating curves. Through widely available statistical software they offer a one-step solution to the common and awkward problem that a bias correction is needed when estimating total loads. In particular, using a logarithmic link function has an advantage over logarithmic transformation of concentration or load, as generalized linear models return predictions directly on the original measured scale; there is thus no need for back-transformation or subsequent correction factors. Example analyses are given for suspended sediment concentration for an upland stream in the Northern Pennines and for phosphorus load for the Illinois River. General criteria for choosing models and good practice in the use of figures of model merit and of residual plots are also discussed in detail.

KW - rivers • rating curves • suspended sediment • dissolved load • generalized linear models

U2 - 10.1002/esp.1523

DO - 10.1002/esp.1523

M3 - Journal article

VL - 33

SP - 25

EP - 39

JO - Earth Surface Processes and Landforms

JF - Earth Surface Processes and Landforms

SN - 1096-9837

IS - 1

ER -

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