Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloRiver Bathymetry Estimate and Discharge Assessment from Remote Sensing
Anno di pubblicazione2019
  • Elettronico
  • Cartaceo
Autore/iTommaso Moramarco Silvia Barbetta David M. Bjerklie John W. Fulton Angelica Tarpanelli
Affiliazioni autoriIstituto di Ricerca per la Protezione Idrogelogica; Istituto di Ricerca per la Protezione Idrogelogica; Union States Geological Survey; Union States Geological Survey; Istituto di Ricerca per la Protezione Idrogelogica
Autori CNR e affiliazioni
  • inglese
AbstractThe NASA Surface Water Ocean Topography (SWOT) mission and ESA Sentinel-1, inter-alia, propose to monitor inland waters from satellites. The radar altimeter and the microwave radiometer can be used to monitor water surface level and assess the cross-sectional mean flow velocity, respectively. However, for most river sites bathymetric data are lacking, preventing the direct computation of discharge. In this context, a new methodology for simulating the bathymetry and estimating the discharge is proposed. The approach is based on entropy theory and can be applied using ground and satellite observations. Four parameters are needed and include channel roughness, water surface slope, channel bottom elevation, and an entropy parameter of flow depth. These parameters are estimated using a genetic algorithm by minimizing the error in the observed maximum surface velocity. Parameter uncertainty is considered through 1000 random realizations based on different initial values. Eighteen streamflow measurements recorded from three different gauged river sites are used to benchmark the ground observations. The method included ENVISAT altimetry and MODIS data (2002-2010) at one river site. Relative to ground measurements, the method provides good results with an error in channel area and discharge that, on average, does not exceed 10% on the 50th percentile. Relative to satellite measurements, channel area is well simulated with an error, on average, lower than 9%; discharge is less well simulated and represented by an error greater than 30% on the 50th percentile.
Lingua abstractinglese
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RivistaWater resources research
Attiva dal 1965
Editore: American Geophysical Union. - Washington [etc.]
Paese di pubblicazione: Stati Uniti d'America
Lingua: inglese
ISSN: 0043-1397
Titolo chiave: Water resources research
Titolo proprio: Water resources research.
Titolo abbreviato: Water resour. res.
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Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
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Parole chiaveEntropy, River Discharge, Monitoring, Earth Observations, Bathymetry
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Strutture CNR
  • IRPI — Istituto di ricerca per la protezione idrogeologica
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