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The Theoretical Probability Distribution of Peak Outflows of Small Detention Dams

The functional relationship between detention dam inflows and outflows was derived in a closed form in a recent work, which led to a theoretically derived probability distribution (TDD) of the peak outflows from in-line detention dams. This TDD is tested using the generalized extreme value (GEV) as a reference distribution ...
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Operations Manual for the Use of UAS in Environmental Studies (based on SORA 2.0)

This set of three documents represents a blueprint of an Operations Manual for UAS operations (OM) targeting environmental studies, accompanied by an Emergency Response Plan (ERP) and an example of UAS operation description and risk assessment according to JARUS SORA 2.0 (also known as ConOps). The OM focuses on normal ...
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Detection of Surface Water and Floods with Multispectral Satellites

The use of multispectral satellite imagery for water monitoring is a fast and cost-effective method that can benefit from the growing availability of medium–high-resolution and free remote sensing data. Since the 1970s, multispectral satellite imagery has been exploited by adopting different techniques and spectral indices. The high number of available ...
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Satellite flood detection integrating hydrogeomorphic and spectral indices

Satellite remote sensing is a highly valuable data source useful in the monitoring of surface water dynamics and an essential tool in flood risk management although several factors can interfere with the detection of water features. This study explores an approach that integrates satellite optical images and DEM-based hydrogeomorphic features ...
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Monitoring Water Turbidity Using Remote Sensing Techniques

In the present work, the use of optical cameras for turbidity measurements is tested on the Bode River in Germany, which is one of the best-instrumented catchments in Central Germany with a long-term time series on water quantity and quality. Four trap cameras have been installed on monitored cross-sections with ...
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Flood Susceptibility Mapping Using a Deep Neural Network Model: The Case Study of Southern Italy

This study suggests a rapid methodology to delineate areas prone to flood using machine learning techniques. Based on available historically flooded areas, the model employs and combines globally collectible and reproducible conditioning factors to analyze flood susceptibility. The flood inventory map includes historically flooded areas from 1920 that occurred over ...
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Optimization of Flood Detention Basins Design

The design of hydraulic structures needs to account for a trade-off between implementation costs and flood damages, as well as for the impacts on basins hydrological responses over a wide spectrum of events. In this work, a new methodology for dimensioning an in-line detention dam that integrates geomorphic, probabilistic and ...
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VIdeo StabilisatION for image velocimetry analysis in rivers

VISION is open-source software written in MATLAB for video stabilisation using automatic features detection. It can be applied for any use, but it has been developed mainly for image velocimetry applications in rivers. It includes a number of options that can be set depending on the user’s needs and intended ...
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