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#riverdischarge β€” Public Fediverse posts

Live and recent posts from across the Fediverse tagged #riverdischarge, aggregated by home.social.

  1. Inferring River Discharge From Google Earth Images - Critical Flow Theory Can Predict River Discharge Based On The Spacing Of Standing Waves Captured By Google Earth Images
    --
    eos.org/editor-highlights/infe <-- shared technical article
    --
    doi.org/10.1029/2025GL114851 <-- shared paper
    --
    β€œβ€¦ KEY POINTS:
    β€’ Standing waves in rivers indicate unique hydraulic conditions that allow depth and velocity to be inferred from the spacing of the waves
    β€’ Critical flow theory can be used to calculate discharge based on measurements of wavelength and width made using readily available images
    β€’ Discharges estimated via the critical flow approach for 82 images agreed closely with discharges recorded at gaging stations (RΒ² = 0.98)…”
    #GIS #spatial #mapping #spatialanalysis #remotesensing #GoogleEarth #CriticalFlowTheory #riverdischarge #standingwaves #gages #gauges #earthobservation #flow #volume #hydraulicjumps #velocity #depth #water #hydrography #hydrology #wavelength #channelwidth #discharge #estimation

  2. Inferring River Discharge From Google Earth Images - Critical Flow Theory Can Predict River Discharge Based On The Spacing Of Standing Waves Captured By Google Earth Images
    --
    eos.org/editor-highlights/infe <-- shared technical article
    --
    doi.org/10.1029/2025GL114851 <-- shared paper
    --
    β€œβ€¦ KEY POINTS:
    β€’ Standing waves in rivers indicate unique hydraulic conditions that allow depth and velocity to be inferred from the spacing of the waves
    β€’ Critical flow theory can be used to calculate discharge based on measurements of wavelength and width made using readily available images
    β€’ Discharges estimated via the critical flow approach for 82 images agreed closely with discharges recorded at gaging stations (RΒ² = 0.98)…”
    #GIS #spatial #mapping #spatialanalysis #remotesensing #GoogleEarth #CriticalFlowTheory #riverdischarge #standingwaves #gages #gauges #earthobservation #flow #volume #hydraulicjumps #velocity #depth #water #hydrography #hydrology #wavelength #channelwidth #discharge #estimation

  3. Inferring River Discharge From Google Earth Images - Critical Flow Theory Can Predict River Discharge Based On The Spacing Of Standing Waves Captured By Google Earth Images
    --
    eos.org/editor-highlights/infe <-- shared technical article
    --
    doi.org/10.1029/2025GL114851 <-- shared paper
    --
    β€œβ€¦ KEY POINTS:
    β€’ Standing waves in rivers indicate unique hydraulic conditions that allow depth and velocity to be inferred from the spacing of the waves
    β€’ Critical flow theory can be used to calculate discharge based on measurements of wavelength and width made using readily available images
    β€’ Discharges estimated via the critical flow approach for 82 images agreed closely with discharges recorded at gaging stations (RΒ² = 0.98)…”
    #GIS #spatial #mapping #spatialanalysis #remotesensing #GoogleEarth #CriticalFlowTheory #riverdischarge #standingwaves #gages #gauges #earthobservation #flow #volume #hydraulicjumps #velocity #depth #water #hydrography #hydrology #wavelength #channelwidth #discharge #estimation

  4. Inferring River Discharge From Google Earth Images - Critical Flow Theory Can Predict River Discharge Based On The Spacing Of Standing Waves Captured By Google Earth Images
    --
    eos.org/editor-highlights/infe <-- shared technical article
    --
    doi.org/10.1029/2025GL114851 <-- shared paper
    --
    β€œβ€¦ KEY POINTS:
    β€’ Standing waves in rivers indicate unique hydraulic conditions that allow depth and velocity to be inferred from the spacing of the waves
    β€’ Critical flow theory can be used to calculate discharge based on measurements of wavelength and width made using readily available images
    β€’ Discharges estimated via the critical flow approach for 82 images agreed closely with discharges recorded at gaging stations (RΒ² = 0.98)…”
    #GIS #spatial #mapping #spatialanalysis #remotesensing #GoogleEarth #CriticalFlowTheory #riverdischarge #standingwaves #gages #gauges #earthobservation #flow #volume #hydraulicjumps #velocity #depth #water #hydrography #hydrology #wavelength #channelwidth #discharge #estimation

  5. Inferring River Discharge From Google Earth Images - Critical Flow Theory Can Predict River Discharge Based On The Spacing Of Standing Waves Captured By Google Earth Images
    --
    eos.org/editor-highlights/infe <-- shared technical article
    --
    doi.org/10.1029/2025GL114851 <-- shared paper
    --
    β€œβ€¦ KEY POINTS:
    β€’ Standing waves in rivers indicate unique hydraulic conditions that allow depth and velocity to be inferred from the spacing of the waves
    β€’ Critical flow theory can be used to calculate discharge based on measurements of wavelength and width made using readily available images
    β€’ Discharges estimated via the critical flow approach for 82 images agreed closely with discharges recorded at gaging stations (RΒ² = 0.98)…”