Search Results - "Silvia Barbetta"
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River Discharge Estimation by Using Altimetry Data and Simplified Flood Routing Modeling
Published in Remote sensing (Basel, Switzerland) (01-09-2013)“…A methodology to estimate the discharge along rivers, even poorly gauged ones, taking advantage of water level measurements derived from satellite altimetry is…”
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2
River Bathymetry Estimate and Discharge Assessment from Remote Sensing
Published in Water resources research (01-08-2019)“…The NASA Surface Water Ocean Topography (SWOT) mission and ESA Sentinel‐1, inter‐alia, propose to monitor inland waters from satellites. The radar altimeter…”
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3
Real-time flood forecasting downstream river confluences using a Bayesian approach
Published in Journal of hydrology (Amsterdam) (01-10-2018)“…•The issue of forecast at gauged sites downstream river confluence is investigated.•The proposed method uses probabilistic forecast at gauged sites on…”
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4
A Review of Irrigation Information Retrievals from Space and Their Utility for Users
Published in Remote sensing (Basel, Switzerland) (01-10-2021)“…Irrigation represents one of the most impactful human interventions in the terrestrial water cycle. Knowing the distribution and extent of irrigated areas as…”
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5
Significance of hydraulic complexity parameters M1 and M2 based on the laboratory and field data
Published in Hydrology research (01-03-2023)“…Hydraulic complexity metrics referred to as M1 and M2 play an important role when it comes to the analysis of habitat metrics. In the present paper, the…”
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6
From Surface Flow Velocity Measurements to Discharge Assessment by the Entropy Theory
Published in Water (Basel) (01-02-2017)“…A new methodology for estimating the discharge starting from the monitoring of surface flow velocity, usurf, is proposed. The approach, based on the entropy…”
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Flood Hydrograph Prediction Using Machine Learning Methods
Published in Water (Basel) (24-07-2018)“…Machine learning (soft) methods have a wide range of applications in many disciplines, including hydrology. The first application of these methods in hydrology…”
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8
A multilayer soil approach for seepage process analysis in earthen levees
Published in Journal of flood risk management (01-09-2022)“…The analysis of seepage through earthen levees is fundamental to investigate the levee safety condition, since that the seepage phenomenon can often lead to…”
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Flooding in the Digital Twin Earth: The Case Study of the Enza River Levee Breach in December 2017
Published in Water (Basel) (23-04-2023)“…The accurate delineation of flood hazard maps is a key element of flood risk management policy. Flood inundation models are fundamental for reproducing the…”
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A methodology for discharge estimation and rating curve development at ungauged river sites
Published in Water resources research (01-02-2007)“…A methodology for estimating discharges and development of rating curves at ungauged river sites is presented. The methodology employs a routing method, which…”
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11
Impact of animal burrows on earthen levee body vulnerability to seepage
Published in Journal of flood risk management (01-01-2020)“…A novel procedure for estimation of the vulnerability to seepage inducing piping processes in earthen levees affected by animal burrows is presented. The…”
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12
Case Study: A Real-Time Flood Forecasting System with Predictive Uncertainty Estimation for the Godavari River, India
Published in Water (Basel) (01-10-2016)“…This work presents the application of the multi-temporal approach of the Model Conditional Processor (MCP-MT) for predictive uncertainty (PU) estimation in the…”
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13
A Self-Contained and Automated Method for Flood Hazard Maps Prediction in Urban Areas
Published in Water (Basel) (01-05-2020)“…Water depths and velocities predicted inside urban areas during severe storms are traditionally the final result of a chain of hydrologic and hydraulic models…”
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14
A Muskingum-based methodology for river discharge estimation and rating curve development under significant lateral inflow conditions
Published in Journal of hydrology (Amsterdam) (01-11-2017)“…•We present an extension of the VPMS method by involving lateral flow estimate.•The method uses equivalent prismatic sections.•The method can be used for…”
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15
Prediction of river discharges at confluences based on Entropy theory and surface-velocity measurements
Published in Journal of hydrology (Amsterdam) (01-03-2022)“…•Estimating the discharge rate in Amazon river based on Entropy approach.•Estimating Entropy-based velocity profiles from surface velocity…”
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Estimating the Average River Cross‐Section Velocity by Observing Only One Surface Velocity Value and Calibrating the Entropic Parameter
Published in Water resources research (01-10-2022)“…The current research aims to predict the velocity distribution and discharge rates in rivers based on the entropy concept using only one surface velocity…”
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17
Investigating hydrodynamics and turbulent effects in rivers for different flow conditions using spatial complexity metrics
Published in Journal of hydrology (Amsterdam) (01-09-2024)“…•We investigate the hydraulic complexity metrics based on laboratory and field data.•We study the kinetic energy and coherent structures related to aquatic…”
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18
The use of remote sensing-derived water surface data for hydraulic model calibration
Published in Remote sensing of environment (01-06-2014)“…Considering a large satellite dataset (i.e. ~16years of ERS-2 and ENVISAT observations) we investigate the reliability of remotely-sensed data for calibrating…”
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19
The multi temporal/multi-model approach to predictive uncertainty assessment in real-time flood forecasting
Published in Journal of hydrology (Amsterdam) (01-08-2017)“…•We extend the Multi-Temporal Model Conditional Processor to the multi-model case.•We introduce the four Truncated Normal Distributions approach for…”
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20
Addressing effective real-time forecasting inflows to dams through predictive uncertainty estimate
Published in Journal of hydrology (Amsterdam) (01-05-2023)“…•The accuracy of five deterministic forecasts of inflows to dam is investigated.•The probabilistic forecast is estimated through the Model Conditional…”
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