Flood management and a GIS modelling method to assess flood-hazard areas—a case study

Kourgialas, Nektarios N.; Karatzas, George P.

doi:10.1080/02626667.2011.555836

Cited by 350 publications

(185 citation statements)

References 33 publications

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“…The Koiliaris River has four tributaries (two permanent and two temporary). Three telemetric hydrometric stations (H1, H2, H3) and two meteorological stations (M1, M2), exist in the Koiliaris River basin and provide hourly real-time data (Kourgialas and Karatzas, 2011) (Fig. 1).…”

Section: Study Areamentioning

confidence: 99%

A hydro-sedimentary modeling system for flash flood propagation and hazard estimation under different agricultural practices

Kourgialas

Karatzas

2014

Nat. Hazards Earth Syst. Sci.

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Abstract.A modeling system for the estimation of flash flood flow velocity and sediment transport is developed in this study. The system comprises three components: (a) a modeling framework based on the hydrological model HSPF, (b) the hydrodynamic module of the hydraulic model MIKE 11 (quasi-2-D), and (c) the advection-dispersion module of MIKE 11 as a sediment transport model. An important parameter in hydraulic modeling is the Manning's coefficient, an indicator of the channel resistance which is directly dependent on riparian vegetation changes. Riparian vegetation's effect on flood propagation parameters such as water depth (inundation), discharge, flow velocity, and sediment transport load is investigated in this study. Based on the obtained results, when the weed-cutting percentage is increased, the flood wave depth decreases while flow discharge, velocity and sediment transport load increase. The proposed modeling system is used to evaluate and illustrate the flood hazard for different riparian vegetation cutting scenarios. For the estimation of flood hazard, a combination of the flood propagation characteristics of water depth, flow velocity and sediment load was used. Next, a well-balanced selection of the most appropriate agricultural cutting practices of riparian vegetation was performed. Ultimately, the model results obtained for different agricultural cutting practice scenarios can be employed to create flood protection measures for flood-prone areas. The proposed methodology was applied to the downstream part of a small Mediterranean river basin in Crete, Greece.

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Section: Study Areamentioning

confidence: 99%

A hydro-sedimentary modeling system for flash flood propagation and hazard estimation under different agricultural practices

Kourgialas

Karatzas

2014

Nat. Hazards Earth Syst. Sci.

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“…The literature proposes several approaches for defining water depthÀvelocity hazard categories (e.g. Penning-Rowsell & Fordham 1994;Kourgialas & Karatzas 2011). In our case, hazard categories were modified according to Drbal et al (2009).…”

Section: Discussionmentioning

confidence: 99%

“…On the other hand, modelling tools incorporated in geographic information systems (GIS) are also powerful (Zerger 2002;Kourgialas & Karatzas 2011). The comparison of different 1D and 2D models is presented e.g.…”

Section: Introductionmentioning

confidence: 99%

Flood hazard and flood risk assessment at the local spatial scale: a case study

Vojtek

Vojteková

2016

Geomatics, Natural Hazards and Risk

110

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With regard to minimizing flood damage, there are measures of different character each of which has its justification and plays an important role in flood protection. Implementation of traditional flood protection measures is still very important; however, an increasing role should be played particularly by flood prevention and flood risk management. The paper presents a case study on flood hazard and flood risk assessment at the local spatial scale using geographic information systems, remote sensing, and hydraulic modelling. As for determining flood hazard in the model area, which has 3.23 km 2 , the estimation of maximum flood discharges and hydraulic modelling were important steps. The results of onedimensional hydraulic modelling, which are water depth and flow velocity rasters, were the basis for determining flood hazard and flood risk. In order to define flood risk, the following steps were applied: determining flood intensity on the basis of water depth and flow velocity rasters, determining flood hazard using three categories (low, medium, and high) based on flood intensity, defining vulnerability for the classes of functional areas using three categories of acceptable risk (low, medium, and high), and lastly determination of flood risk which represents a synthesis of flood hazard and vulnerability of the model area.

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“…The latter is the focus of this study, with emphasis on flood hazard. The MCDM-based flood hazard mapping has been frequently studied [3][4][5][6][7][8]. However, there has been a limited effort in transforming the The study area is the Swannanoa River watershed in the state of North Carolina, U.S.…”

Section: Introductionmentioning

confidence: 99%

Sustainability-Based Flood Hazard Mapping of the Swannanoa River Watershed

2017

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An integrated framework is presented for sustainability-based flood hazard mapping of the Swannanoa River watershed in the state of North Carolina, U.S. The framework uses a hydrologic model for rainfall-runoff transformation, a two-dimensional unsteady hydraulic model flood simulation and a GIS-based multi-criteria decision-making technique for flood hazard mapping. Economic, social, and environmental flood hazards are taken into account. The importance of each hazard is quantified through a survey to the experts. Utilizing the proposed framework, sustainability-based flood hazard mapping is performed for the 100-year design event. As a result, the overall flood hazard is provided in each geographic location. The sensitivity of the overall hazard with respect to the weights of the three hazard components were also investigated. While the conventional flood management approach is to assess the environmental impacts of mitigation measures after a set of feasible options are selected, the presented framework incorporates the environmental impacts into the analysis concurrently with the economic and social influences. Thereby, it provides a more sustainable perspective of flood management and can greatly help the decision makers to make better-informed decisions by clearly understanding the impacts of flooding on economy, society and environment.

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Flood management and a GIS modelling method to assess flood-hazard areas—a case study

Cited by 350 publications

References 33 publications

A hydro-sedimentary modeling system for flash flood propagation and hazard estimation under different agricultural practices

A hydro-sedimentary modeling system for flash flood propagation and hazard estimation under different agricultural practices

Flood hazard and flood risk assessment at the local spatial scale: a case study

Sustainability-Based Flood Hazard Mapping of the Swannanoa River Watershed

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