Investigation on the use of geomorphic approaches for the delineation of flood prone areas

Manfreda, Salvatore; Nardi, Fernando; Samela, Caterina; Grimaldi, Salvatore; Taramasso, Angela Celeste; Roth, Giorgio; Sole, Aurelia

doi:10.1016/j.jhydrol.2014.06.009

Cited by 129 publications

(86 citation statements)

References 31 publications

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“…Topography plays a central role in flash flood behavior through a fundamental interplay that involves the elevation of the landscape across multiple spatial and temporal scales [16,17]. The delineation of flood susceptibility areas can be carried out based on basin geomorphologic feature characterization [18,19].…”

Section: Introductionmentioning

confidence: 99%

Flash Flood Hazard Susceptibility Mapping Using Frequency Ratio and Statistical Index Methods in Coalmine Subsidence Areas

et al. 2016

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This study focused on producing flash flood hazard susceptibility maps (FFHSM) using frequency ratio (FR) and statistical index (SI) models in the Xiqu Gully (XQG) of Beijing, China. First, a total of 85 flash flood hazard locations (n = 85) were surveyed in the field and plotted using geographic information system (GIS) software. Based on the flash flood hazard locations, a flood hazard inventory map was built. Seventy percent (n = 60) of the flooding hazard locations were randomly selected for building the models. The remaining 30% (n = 25) of the flooded hazard locations were used for validation. Considering that the XQG used to be a coal mining area, coalmine caves and subsidence caused by coal mining exist in this catchment, as well as many ground fissures. Thus, this study took the subsidence risk level into consideration for FFHSM. The ten conditioning parameters were elevation, slope, curvature, land use, geology, soil texture, subsidence risk area, stream power index (SPI), topographic wetness index (TWI), and short-term heavy rain. This study also tested different classification schemes for the values for each conditional parameter and checked their impacts on the results. The accuracy of the FFHSM was validated using area under the curve (AUC) analysis. Classification accuracies were 86.61%, 83.35%, and 78.52% using frequency ratio (FR)-natural breaks, statistical index (SI)-natural breaks and FR-manual classification schemes, respectively. Associated prediction accuracies were 83.69%, 81.22%, and 74.23%, respectively. It was found that FR modeling using a natural breaks classification method was more appropriate for generating FFHSM for the Xiqu Gully.

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Section: Introductionmentioning

confidence: 99%

Flash Flood Hazard Susceptibility Mapping Using Frequency Ratio and Statistical Index Methods in Coalmine Subsidence Areas

et al. 2016

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“…In this framework, the research has recently shown that the delineation of flood-prone areas can be carried out using simplified methods that rely on basin geomorphologic features (e.g., Nardi et al 2006;Manfreda et al 2011Manfreda et al , 2014aDegiorgis et al 2012;Jalayer et al 2014;De Risi et al 2014;Papaioannou et al 2014). Such innovative procedures may provide a preliminary delineation of the flood-prone areas useful for the planning of numerical analyses, and for insurance companies that have a growing interest toward the identification of the assets and population at risk.…”

Section: Introductionmentioning

confidence: 99%

Flood-prone areas assessment using linear binary classifiers based on flood maps obtained from 1D and 2D hydraulic models

et al. 2015

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The identification of flood-prone areas is a critical issue becoming everyday more pressing for our society. A preliminary delineation can be carried out by DEM-based procedures that rely on basin geomorphologic features. In the present paper, we investigated the dominant topographic controls for the flood exposure using techniques of pattern classification through linear binary classifiers based on DEM-derived morphologic features. Our findings may help the definition of new strategies for the delineation of floodprone areas with DEM-based procedures. With this aim, local features-which are generally used to describe the hydrological characteristics of a basin-and composite morphological indices are taken into account in order to identify the most significant one. Analyses are carried out on two different datasets: one based on flood simulations obtained with a 1D hydraulic model, and the second one obtained with a 2D hydraulic model. The analyses highlight the potential of each morphological descriptor for the identification of the extent of flood-prone areas and, in particular, the ability of one geomorphologic index to represent flood-inundated areas at different scales of application.

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“…Because of strong topographic gradients, headwaters experience intense rainfall events, mostly occurring from autumn to spring, associated with frequent flood events. Substantial flood events have been also observed in the floodplain of the river (southern part) where most of population and economical activities are clustered (Manfreda et al, 2014). Topography is represented through a 20 m resolution DEM provided by the Istituto Geografico Militare (IGM, available online at http://www.igmi.org/).…”

Section: Study Areamentioning

confidence: 99%

HYPERstream: a multi-scale framework for streamflow routing in large-scale hydrological model

Piccolroaz

Lazzaro

Zarlenga

et al. 2016

Hydrol. Earth Syst. Sci.

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Abstract. We present HYPERstream, an innovative streamflow routing scheme based on the width function instantaneous unit hydrograph (WFIUH) theory, which is specifically designed to facilitate coupling with weather forecasting and climate models. The proposed routing scheme preserves geomorphological dispersion of the river network when dealing with horizontal hydrological fluxes, irrespective of the computational grid size inherited from the overlaying climate model providing the meteorological forcing. This is achieved by simulating routing within the river network through suitable transfer functions obtained by applying the WFIUH theory to the desired level of detail. The underlying principle is similar to the block-effective dispersion employed in groundwater hydrology, with the transfer functions used to represent the effect on streamflow of morphological heterogeneity at scales smaller than the computational grid. Transfer functions are constructed for each grid cell with respect to the nodes of the network where streamflow is simulated, by taking advantage of the detailed morphological information contained in the digital elevation model (DEM) of the zone of interest. These characteristics make HYPERstream well suited for multi-scale applications, ranging from catchment up to continental scale, and to investigate extreme events (e.g., floods) that require an accurate description of routing through the river network. The routing scheme enjoys parsimony in the adopted parametrization and computational efficiency, leading to a dramatic reduction of the computational effort with respect to full-gridded models at comparable level of accuracy. HYPERstream is designed with a simple and flexible modular structure that allows for the selection of any rainfall-runoff model to be coupled with the routing scheme and the choice of different hillslope processes to be represented, and it makes the framework particularly suitable to massive parallelization, customization according to the specific user needs and preferences, and continuous development and improvements.

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Investigation on the use of geomorphic approaches for the delineation of flood prone areas

Cited by 129 publications

References 31 publications

Flash Flood Hazard Susceptibility Mapping Using Frequency Ratio and Statistical Index Methods in Coalmine Subsidence Areas

Flash Flood Hazard Susceptibility Mapping Using Frequency Ratio and Statistical Index Methods in Coalmine Subsidence Areas

Flood-prone areas assessment using linear binary classifiers based on flood maps obtained from 1D and 2D hydraulic models

HYPERstream: a multi-scale framework for streamflow routing in large-scale hydrological model

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