Automatic Web Procedure for Calculating Flood Flow Frequency

Rosa, Pierluigi De; Fredduzzi, Andrea; Minelli, Annalisa; Cencetti, Corrado

doi:10.3390/w11010014

Cited by 2 publications

(4 citation statements)

References 18 publications

(22 reference statements)

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“…Many studies have been done on flooding inundation process simulation with simplified models at both the basin and regional scale [3,[12][13][14][15][16][17][18]. Jacobs (2018) developed a flooding inundation modeling tool called Flood Modeller, which simulates the flooding of rivers, floodplains, and urban areas using simplified 1D and 2D hydraulics [19].…”

Section: Introductionmentioning

confidence: 99%

A Simple GIS-Based Model for Urban Rainstorm Inundation Simulation

et al. 2019

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With rapid urbanization, floods that occur are more frequently associated with non-riverine, urban flooding. Reliable and efficient simulation of rainstorm inundation in an urban environment is profound for risk analysis and sustainable development. Although sophisticated hydrodynamic models are now available to simulate the urban flooding processes with a high accuracy, the complexity and heavy computation requirement render these models difficult to apply. Moreover, a large number of input data describing the complex urban underlying surfaces is required to setup the models, which are typically unavailable in reality. In this paper, a simple and efficient urban rainstorm inundation simulation method, named URIS, was developed based on a geographic information system (GIS) with limited input data. The URIS method is a simplified distributed hydrological model, integrating three components of the soil conservation service (SCS) module, surface flow module, and drainage flow module. Cumulative rainfall-runoff, output from the SCS model, feeds the surface flow model, while the drainage flow module is an important waterlogging mitigation measure. The central urban area of Shanghai in China was selected as a study case to calibrate and verify the method. It was demonstrated that the URIS is capable of characterizing the spatiotemporal dynamic processes of urban inundation and drainage under a range of scenarios, such as different rainstorm patterns with varying return periods and different alterations of drainage diameters. URIS is therefore characterized with high efficiency, reasonable data input, and low hardware requirements and should be an alternative to hydrodynamic models. It is useful for urgent urban flood inundation estimation and is applicable for other cities in supporting emergency rescue and sustainable urban planning.

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Section: Introductionmentioning

confidence: 99%

A Simple GIS-Based Model for Urban Rainstorm Inundation Simulation

et al. 2019

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“…The flow discharge estimation is one of the main challenges in TSP determination; deriving the flow discharge directly using only cross-section location as input is a hard task. In this work, the approach proposed by the Flood Estimation Handbook published by the River Tiber Basin Authority was implemented [14]. Subsequently, the channel gradient was obtained from a DEM using the elevation drop between a cell and the cell upstream at distances of 100 m, 200 m, and 400 m, as proposed by Bizzi and Lerner [12].…”

Section: Discussionmentioning

confidence: 99%

“…The procedure implemented in a GIS environment [14] starts from the calculation of the upslope catchment area by correctly identifying the outlet point for any given point. The calculation code finds the closest point located in the stream network since the point provided by the user cannot be correctly positioned.…”

Section: Peak Flow Dischargementioning

confidence: 99%

“…This work uses a GIS approach to define the local value of SP by combining: (1) the hydrological approach to determine the flow discharge as described by De Rosa et al [14]; (2) the river channel slope derived from the DEM raster. As presented in Equation (1), the transport capacity of a stream is a direct function of the flow discharge and local slope; for this reason, the correct determination of the slope is crucial to obtaining a correct stream assessment.…”

Section: Introductionmentioning

confidence: 99%

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Stream Power Determination in GIS: An Index to Evaluate the Most ’Sensitive’Points of a River

Rosa

Fredduzzi

Cencetti

2019

Water

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This paper focuses on the problem of measuring stream power in a hydrographic network using the original definition provided by Bagnold in 1996. Recent digital elevation models have enabled the calculation of channel gradients and, consequently, stream power with a finer spatial resolution, and this has created promising and novel opportunities to investigate river geomorphological processes and forms. The work carried out in this study includes defining and implementing a methodological approach that could be automated within a geographic information system and that meets two requirements: (1) it uses a DEM as input data at a suitable resolution; (2) it estimates the stream power Ω , as well as its variability along the considered stream, in the best possible way using available data. In particular, the methodological approach was implemented in a GIS environment (GRASS GIS) and applied to a sample basin to highlight the variability in Ω along the main stream and its most important tributaries. The sudden and more substantial variations in stream power were then related to the processes acting in the fluvial system. This approach made it possible to highlight how erosion, solid transport, and sedimentation phenomena occurring along the fluvial reaches are related to abrupt variations (increase/decrease) in the “power” available. The results of this study support the idea that the automated and standardized screening of stream power variability along a stream can be used as a preliminary diagnostic element to identify the most “sensitive” points of the stream on which to concentrate subsequent investigations (field checks to verify the causes), with the aim of mitigating risks due to the dynamics of the riverbed.

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Automatic Web Procedure for Calculating Flood Flow Frequency

Cited by 2 publications

References 18 publications

A Simple GIS-Based Model for Urban Rainstorm Inundation Simulation

A Simple GIS-Based Model for Urban Rainstorm Inundation Simulation

Stream Power Determination in GIS: An Index to Evaluate the Most ’Sensitive’Points of a River

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