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| Titel |
Estimation loads from Continuous data sets: An assessment of the uncertainties |
| VerfasserIn |
S. D. Blazkova, A. Kulasova, P. J. Smith, K. J. Beven  |
| Konferenz |
EGU General Assembly 2012
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 14 (2012) |
| Datensatznummer |
250065367
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| Zusammenfassung |
| A method for computing loads of total phosphorus and nitrate given
continuous measurements from a pressure transducer along with those of a
turbidity probe and an ion-specific N-NO3 probe. Using Bayesian
statistic methods these time series data are combined with a limited
number of discharge measurements and analysed of grab samples to convert
water levels to discharge and to derive continuous estimates of total
phosphorus and nitrate. The integration used to estimate loads from the
time series of predicted values of the true discharges and
concentrations are then carried out by a Monte Carlo method.
The techniques are demonstrated on data from a small catchment in the
Czech Republic. Variation in the estimated monthly loads range from 5 to
23% for total phosphorous and 12 to 36% for N- NO3. At the annual time
scales, coefficients of variation are of the order of 5% for both total
phosphorous and N-NO3. The variability in the estimated annual loads
between the years was, however, significantly larger than the
uncertainties estimated within each year |
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