A method of computing uncertain nitrogen and phosphorus loads in a small stream from an agricultural catchment using continuous monitoring data

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https://doi.org/10.1016/j.jhydrol.2012.05.060
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Keywords

NUTRIENT LOADS, SEDIMENT, TRANSFERS, Uncertainty estimation, WATER-QUALITY DATA, EVENT DYNAMICS, Monte Carlo sampling, RIVER, FLUX, Nutrient loads, Rating curve, RATING CURVES, MODELS, REGRESSION

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A method of computing uncertain nitrogen and phosphorus loads in a small stream from an agricultural catchment using continuous monitoring data. / Kulasova, A.; Smith, P. J.; Beven, K. J. et al.
In: Journal of Hydrology, Vol. 458-459, 21.08.2012, p. 1-8.

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

Bibtex

@article{8a51275c360e45fa94f3cd26cd10706f,

title = "A method of computing uncertain nitrogen and phosphorus loads in a small stream from an agricultural catchment using continuous monitoring data",

abstract = "A method for computing loads of total phosphorus and nitrate from a small catchment in the Czech Republic has been presented, given continuous measurements of water levels, turbidity and an ion-specific NO3--N probe together with a limited number of discharge measurements and analyses of grab samples. Given the observed variability in the observations, log-log regressions are used to convert water levels to discharge and to derive continuous estimates of total phosphorus and nitrate. Integrations to estimate loads using predicted values of the true discharges and concentrations are then carried out by a Monte Carlo method to avoid strong assumptions of independence and distribution. Coefficients of variation for the estimated monthly loads range from 5% to 23% for TP and 12-36% for NO3--N. At the annual time scales, coefficients of variation are of the order of 5% for both TP and NO3--N. The variability in the estimated annual loads between the years was, however, significantly larger than the uncertainties estimated within each year. (c) 2012 Elsevier B.V. All rights reserved.",

keywords = "NUTRIENT LOADS, SEDIMENT, TRANSFERS, Uncertainty estimation, WATER-QUALITY DATA, EVENT DYNAMICS, Monte Carlo sampling, RIVER, FLUX, Nutrient loads, Rating curve, RATING CURVES, MODELS, REGRESSION",

author = "A. Kulasova and Smith, {P. J.} and Beven, {K. J.} and Blazkova, {S. D.} and J. Hlavacek",

year = "2012",

month = aug,

day = "21",

doi = "10.1016/j.jhydrol.2012.05.060",

language = "English",

volume = "458-459",

pages = "1--8",

journal = "Journal of Hydrology",

issn = "0022-1694",

publisher = "Elsevier Science B.V.",

}

RIS

TY - JOUR

T1 - A method of computing uncertain nitrogen and phosphorus loads in a small stream from an agricultural catchment using continuous monitoring data

AU - Kulasova, A.

AU - Smith, P. J.

AU - Beven, K. J.

AU - Blazkova, S. D.

AU - Hlavacek, J.

PY - 2012/8/21

Y1 - 2012/8/21

N2 - A method for computing loads of total phosphorus and nitrate from a small catchment in the Czech Republic has been presented, given continuous measurements of water levels, turbidity and an ion-specific NO3--N probe together with a limited number of discharge measurements and analyses of grab samples. Given the observed variability in the observations, log-log regressions are used to convert water levels to discharge and to derive continuous estimates of total phosphorus and nitrate. Integrations to estimate loads using predicted values of the true discharges and concentrations are then carried out by a Monte Carlo method to avoid strong assumptions of independence and distribution. Coefficients of variation for the estimated monthly loads range from 5% to 23% for TP and 12-36% for NO3--N. At the annual time scales, coefficients of variation are of the order of 5% for both TP and NO3--N. The variability in the estimated annual loads between the years was, however, significantly larger than the uncertainties estimated within each year. (c) 2012 Elsevier B.V. All rights reserved.

AB - A method for computing loads of total phosphorus and nitrate from a small catchment in the Czech Republic has been presented, given continuous measurements of water levels, turbidity and an ion-specific NO3--N probe together with a limited number of discharge measurements and analyses of grab samples. Given the observed variability in the observations, log-log regressions are used to convert water levels to discharge and to derive continuous estimates of total phosphorus and nitrate. Integrations to estimate loads using predicted values of the true discharges and concentrations are then carried out by a Monte Carlo method to avoid strong assumptions of independence and distribution. Coefficients of variation for the estimated monthly loads range from 5% to 23% for TP and 12-36% for NO3--N. At the annual time scales, coefficients of variation are of the order of 5% for both TP and NO3--N. The variability in the estimated annual loads between the years was, however, significantly larger than the uncertainties estimated within each year. (c) 2012 Elsevier B.V. All rights reserved.

KW - NUTRIENT LOADS

KW - SEDIMENT

KW - TRANSFERS

KW - Uncertainty estimation

KW - WATER-QUALITY DATA

KW - EVENT DYNAMICS

KW - Monte Carlo sampling

KW - RIVER

KW - FLUX

KW - Nutrient loads

KW - Rating curve

KW - RATING CURVES

KW - MODELS

KW - REGRESSION

U2 - 10.1016/j.jhydrol.2012.05.060

DO - 10.1016/j.jhydrol.2012.05.060

M3 - Journal article

VL - 458-459

SP - 1

EP - 8

JO - Journal of Hydrology

JF - Journal of Hydrology

SN - 0022-1694

ER -

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