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The use of remote sensing-derived water surface data for hydraulic model calibration

Articolo
Data di Pubblicazione:
2014
Abstract:
Considering a large satellite dataset (i.e. ~. 16. years of ERS-2 and ENVISAT observations) we investigate the reliability of remotely-sensed data for calibrating a quasi-two dimensional (quasi-2D) hydraulic model of a ~. 140. km reach of the middle-lower portion of the Po river (Northern Italy), for which detailed topographical information and in-situ hydrometric data are available. In particular, we refer to traditional and remotely-sensed hydrometric data for: 1) evaluating if ERS-2 and ENVISAT data can be used for model calibration; 2) assessing whether remotely-sensed water elevation data can integrate traditional hydrometric data and improve the reliability of the hydraulic model. Satellite overpasses are generally characterized by low frequencies and the accuracy of remotely-sensed water surface levels is still limited. Nevertheless, the results of our analysis indicate that for medium-to-large rivers ERS-2 and ENVISAT satellite data can effectively enhance our knowledge of the average streamflow regime of a given reach: they can be directly used in calibration, and their integration with in-situ data may significantly enhance the representation of the hydraulic behaviour of the study river. Considering our study reach, if compared to the model implemented on the basis of in-situ data only the hydraulic model parameterized on the basis of satellite and in-situ hydrometric data provides a better reproduction of average flow conditions, and it also results in the most accurate representation of the maximum water profile observed during a major flood occurred in October 2000. © 2014 Elsevier Inc.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Altimetry data; ERS-2 and ENVISAT; Hydraulic model calibration; Po river; Remote sensing
Elenco autori:
Moramarco, Tommaso; Barbetta, Silvia; Brocca, Luca; Tarpanelli, Angelica
Autori di Ateneo:
BARBETTA SILVIA
BROCCA LUCA
MORAMARCO TOMMASO
TARPANELLI ANGELICA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/267708
Pubblicato in:
REMOTE SENSING OF ENVIRONMENT
Journal
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http://www.scopus.com/record/display.url?eid=2-s2.0-84899760992&origin=inward
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