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| Titel |
Assessing rating-curve uncertainty and its effects on hydraulic model calibration |
| VerfasserIn |
A. Domeneghetti, A. Castellarin, A. Brath |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 16, no. 4 ; Nr. 16, no. 4 (2012-04-11), S.1191-1202 |
| Datensatznummer |
250013257
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| Publikation (Nr.) |
 copernicus.org/hess-16-1191-2012.pdf |
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| Zusammenfassung |
| This study considers the overall uncertainty affecting river flow
measurements and proposes a framework for analysing the uncertainty of
rating-curves and its effects on the calibration of numerical hydraulic
models. The uncertainty associated with rating-curves is often considered
negligible relative to other approximations affecting hydraulic studies,
even though recent studies point out that rating-curves uncertainty may be
significant. This study refers to a ~240 km reach of River Po and
simulates ten different historical flood events by means of a
quasi-twodimensional (quasi-2-D) hydraulic model in order to generate 50
synthetic measurement campaigns (5 campaigns per event) at the gauged
cross-section of interest (i.e. Cremona streamgauge). For each synthetic
campaign, two different procedures for rating-curve estimation are applied
after corrupting simulated discharges according to the indications reported
in the literature on accuracy of discharge measurements, and the uncertainty
associated with each procedure is then quantified. To investigate the
propagation of rating-curve uncertainty on the calibration of Manning's
roughness coefficients further model simulations are run downstream
Cremona's cross-section. Results highlight the significant role of
extrapolation errors and how rating-curve uncertainty may be responsible for
estimating unrealistic roughness coefficients. Finally, the uncertainty of
these coefficients is analysed and discussed relative to the variability of
Manning's coefficient reported in the literature for large natural streams. |
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