A methodology using GIS, aerial photos and remote sensing for loss estimation and flood vulnerability analysis in the Supersano-Ruffano-Nociglia Graben, southern Italy

Forte, Francesco; Strobl, R. O.; Pennetta, Luigi

doi:10.1007/s00254-006-0234-0

Cited by 39 publications

(20 citation statements)

References 1 publication

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“…Jonkman's work was based on seven floods that occurred in different parts of the USA. Similarly, Fort et al (2006) reported on Meijerink's findings in Bangladesh. This study characterized the relationship between the inundated depth of a flood and the vulnerability of the houses.…”

Section: Introductionmentioning

confidence: 88%

Is the S-shaped curve a general law? An application to evaluate the damage resulting from water-induced disasters

Chen

et al. 2015

Nat Hazards

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Water-induced disasters are harmful and can cause drastic damage. The response to these disasters is critical, and this task continues to gain global attention. A quick and accurate assessment of the damage is vital to mitigate the effects of the water-induced disasters. This paper begins with exploring the S-shaped curve that is widely observed with many types of damage resulting from the various water-induced disasters. Following that, we propose a conceptual model using the grade of a disaster as the crucial factor and recommend a general function in the form of a hyperbolic tangent function. The damage assessment of the flood and drought events that occurred in the Yangtze River Delta was conducted to explain the processes involved in the function configuration. Flood season precipitation and soil moisture were incorporated into the flood and drought models, respectively, to simulate the functions in agricultural areas hit by drought or flood events. Comparing the calculated result and field survey shows the effectiveness of the proposed damaged estimate function. This proposed methodology can be used to quickly assess the flood and drought damage, and it can also be extended to other types of disasters.

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Section: Introductionmentioning

confidence: 88%

Is the S-shaped curve a general law? An application to evaluate the damage resulting from water-induced disasters

Chen

et al. 2015

Nat Hazards

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“…Risk mapping may be based on different land-use classes, e.g. CORINE Land-use data (Forte et al, 2005;Apel et al, 2009), local land-use maps (Apel et al, 2006;Büchele et al, 2006;Jonkman et al, 2008) or land-use maps made specifically for flood risk assessments (Forte et al, 2006). Damages to buildings may be assessed by polygons or points representing the structures themselves (Nunes Correia et al, 1998;Büchele et al, 2006;Fedeski and Gwilliam, 2007) or by grid cells expressing the amount of expected damage to buildings within a cell area (Merz et al, 2007;Jonkman et al, 2008;Apel et al, 2009).…”

Section: Flood Risk Mapping Applications In Europementioning

confidence: 99%

Uncertainties in flood risk mapping: a case study on estimating building damages for a river flood in Finland

Koivumäki

Alho

Lotsari

et al. 2010

J Flood Risk Management

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In our review of recent flood risk mapping approaches in Europe, we noted that the sources of uncertainty were rarely questioned. We demonstrated potential sources of uncertainty in flood risk mapping of buildings using a case study of a spring flood in 2005, in Kittilä, Finland. One‐ and two‐dimensional hydraulic models of the flood corresponded well with the actual inundation. The initial modelling result of the inundated buildings differed considerably from reality, but this could be improved through modelling performed with more diverse building elevation data. The accuracy of the digital terrain model is a key determinant in the accuracy of flood hazard modelling. An exposure analysis of buildings is often utilized by an overlay analysis of map layers representing both the flood and the buildings. However, we indicated that the analysis may be partly hindered by the characteristics and inaccuracies of the building datasets used and the modelled flood. In flood damage modelling, the average damages calculated from the database were used, as empirical damage data were too general for a detailed flood damage assessment. Damage modelling with empirical and synthetic damage data could be made more reliable through better archiving of actual flood damages and by performing more diverse damage estimates of standard buildings.

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“…To produce maps showing mineral potential distribution, Bonham-Carter et al (1989), Asadi and Hale (2001) and Zhou et al (2007) also used GIS technology. GIS-based models have also Carbonates Evaporites (2011) 26:193-209 195 been used for aspects of environmental science, hydrogeology, and land use by many researchers such as: Muttiah et al (1996), Robertson and Saad (2003), Forte et al (2006), Wang and Qin (2006) and Sener et al (2006). Other studies relate to hazard and risk assessment, e.g., Brabb et al (1972), DeGraff and Romesburg (1980), Carrara et al (1991), Jade and Sarkar (1993), Irigaray (1995), Chung and Fabbri (1999), Barredo et al (2000), Van Westen et al (2000), Van Westen and Lulie (2003), Fernández et al (2003), Yilmaz and Yavuzer (2005), Gomez and Kavzoglu (2005), Yilmaz and Bagci (2006), Yilmaz and Yildirim (2006), Yilmaz (2009a, b, c) Yilmaz (2010, and Yilmaz and Keskin (2009).…”

Section: Hazard Mappingmentioning

confidence: 99%

Gypsum collapse hazards and importance of hazard mapping

Yilmaz

Marschalko

Bednařík

2011

Carbonates Evaporites

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Collapse in gypsum terrains is a serious geological hazard and can damage engineering structures, settlement areas, natural lakes, and allow infiltration of contaminants into the groundwater. Presentation of engineering geological data in the form of a hazard map is a useful tool in urban planning. To avoid the problems and thus save property and money, detailed geoscientific data should be collected and used in urban planing. Interpretation of future collapse occurrence requires an understanding of conditions and processes controlling collapse events. To predict collapse, it is necessary to assume that collapse occurrence is determined by collapse-related factors, and that future collapses are likely to occur under the same conditions as past collapses. In this study, collapse hazard was reviewed and a method was presented for collapse susceptibility mapping in gypsum terrain in of Sivas basin (Turkey) using a statistical method (conditional probability).

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A methodology using GIS, aerial photos and remote sensing for loss estimation and flood vulnerability analysis in the Supersano-Ruffano-Nociglia Graben, southern Italy

Cited by 39 publications

References 1 publication

Is the S-shaped curve a general law? An application to evaluate the damage resulting from water-induced disasters

Is the S-shaped curve a general law? An application to evaluate the damage resulting from water-induced disasters

Uncertainties in flood risk mapping: a case study on estimating building damages for a river flood in Finland

Gypsum collapse hazards and importance of hazard mapping

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