Improving Flood Prediction Assimilating Uncertain Crowdsourced Data into Hydrological and Hydraulic Models

Mazzoleni, Maurizio

doi:10.1201/9781315115979

Cited by 10 publications

(3 citation statements)

References 221 publications

(354 reference statements)

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“…However, none of the previous studies assessed the usefulness of real-time CS observations in improving flood predictions. First attempts are reported in Mazzoleni et al (2015a,b; and Mazzoleni (2017), where the authors Hydrol. Earth Syst.…”

Section: Overview In Data Assimilation and Crowdsourced Observationsmentioning

confidence: 99%

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Mazzoleni¹

2017

Preprint

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Section: Overview In Data Assimilation and Crowdsourced Observationsmentioning

confidence: 99%

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Mazzoleni¹

2017

Preprint

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“…However, due to their relatively low reliability, crowdsourced observations have not been widely integrated into flood forecasting models. Instead, they have been used to validate model results against observations (Mazzoleni 2016).…”

Section: Introductionmentioning

confidence: 99%

Flash flood hazard prediction of Shalatin City, Red Sea Coast, Egypt utilizing HEC-RAS model

Ibrahim

2021

Catrina: The International Journal of Environmental Sciences

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In terms of flood hazards, Shalatin is the least studied of the six major coastal cities in Egypt's Red Sea Governorate. The current study intends to determine the extent to which Shalatin city is exposed to flood hazard in an attempt to address this research gap. Urban flood modeling proved to be the most effective method. All the layers required for modeling were created in ArcGIS software at the greatest possible resolution using remote sensing products and data obtained during the field investigation. Three potential flood events were modeled as one-dimensional unsteady flow using the most recent version (6.0) of the HEC-RAS programme. To quantify the extent of flooding and water depth, as well as the water velocity and flood hazard, three types of maps were created. In comparison to other cities along Egypt's Red Sea coast, the data reveal that Shalatin appears to be less prone to floods. To safeguard the most susceptible areas, two earthen dykes, each around 2000 metres long, are recommended. The current study is the first to tackle the simulation of an Egyptian city's urban flood at a resolution of up to a single building.

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“…Characterization of the tide could be done by a hydrodynamic modelling or data-driven approach (DDA) [10]. The hydrodynamic models produce a numerical solution of one or more of the governing differential equations of continuity, momentum, and energy of fluid [11,12], while the DDA helps us to find coherent patterns of temporal behavior that could be used to characterize physical processes [10].…”

Section: Introductionmentioning

confidence: 99%

The Use of Hydrodynamic Models in the Determination of the Chart Datum Shape in a Tropical Estuary

Zapata

Puente

Garcı́a

et al. 2019

Water

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Estuaries are transitional environments with ideal conditions for port construction and navigation. They represent a challenge to hydrographic services due to the dynamics of the seabed and the tidal wave deformation. The bottom slope, the convergence of the channels, and the nonlinear effects produced by the bottom friction produce variation in both the tidal range and the location of the chart datum (CD). In this study, sea level data series obtained from the nodes of the mesh of a hydrodynamic model (virtual tide gauges) were used to calculate the harmonic constituents, form factor, asymmetry, and estuary type. The final chart datum surface, obtained from the hydrodynamic model, was used to determine the separation values between zones and also the number of tidal zones in an estuarine system. It was found that in a complex hydrodynamics scenario, the use of the ellipsoidal referenced surveying (ERS) method is more convenient than traditional tidal zoning survey. In the ERS method, once the CD model is complete, it must be attached to the ellipsoid directly. Finally, the variation of the CD in different scenarios (due to anthropogenic action) was assessed.

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Improving Flood Prediction Assimilating Uncertain Crowdsourced Data into Hydrological and Hydraulic Models

Cited by 10 publications

References 221 publications

Response to Anonymous Referee #2

Response to Anonymous Referee #2

Flash flood hazard prediction of Shalatin City, Red Sea Coast, Egypt utilizing HEC-RAS model

The Use of Hydrodynamic Models in the Determination of the Chart Datum Shape in a Tropical Estuary

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