THESEUS decision support system for coastal risk management

Zanuttigh, Barbara; Simcic, Dario; Bagli, Stefano; Bozzeda, Fabio; Pietrantoni, Luca; Zagonari, Fabio; Hoggart, Simon; Nicholls, Robert J.

doi:10.1016/j.coastaleng.2013.11.013

Cited by 75 publications

(35 citation statements)

References 43 publications

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“…In the event of flood risk, however, strategies must be integrated with other measures [57]. Dune restoration may be considered the first candidate in order to defend the inland from marine inundation [16]. Seawalls, that induce a local erosion due to reflection, are cost-effective solutions to limit the overtopping, especially when the parapet is appropriately shaped [58,59].…”

Section: Urbanized Low Sandy Coastsmentioning

confidence: 99%

“…The following studies comprise a demonstration site on the North-Eastern coast of Italy, and were carried out in collaboration with local stakeholders: RITMARE Flagship Project (Antonioli et al [8], Bezzi et al [9]), CAMP Italy Project, COASTANCE (Montanari and Marasmi [10]), DELOS, Water 2018, 10, 984 2 of 22 (Zanuttigh et al, [11]) COASTGAP-MED, MEDSANDCOAST-ENPI, COASTAL Mapping-DG MARE, EUROSION [12], THESEUS (Zanuttigh [13]), MICORE (Ciavola et al [14]) or RISC-KIT (Armaroli et al [15]). Specific open-source tools and approaches have been developed to support decision-making processes (Zanuttigh et al [16], Torresan et al [17]; Vafeidis et al [18], van Dongeren et al [19]; Stelljes at al. [20]).…”

Section: Introductionmentioning

confidence: 99%

“…It is also recommended that innovative solutions be lab-tested to ensure that they are effective in cost/benefit terms before they can be safely used on-site [16].…”

Section: Urbanized Low Sandy Coastsmentioning

confidence: 99%

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Vulnerability Analysis of the Venetian Littoral and Adopted Mitigation Strategy

Ruol

Martinelli

Favaretto

2018

Water

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This paper discusses the key aspects of the recent Coastal Plan of the Veneto Region (IT). Its aim is to propose a single mitigation strategy for coastal erosion that is valid for the whole Veneto Region, and possibly elsewhere, as well as a method to assign a priority level to any action. The suggested mitigation action against erosion depends on urbanization level, beach width, as well as cross-shore and long-shore sediment transport. The criterion used to give a priority level to mitigation actions is based on a vulnerability index that takes into account erosive tendency, existing coastal flooding hazards, coast value, environmental relevance, tourist pressure, urbanization level, the presence of production activities, and cultural heritage. A sample case featuring the littoral of Rosolina is also provided and includes a site description, the sediment budget, critical issues and possible mitigation measures.

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Section: Urbanized Low Sandy Coastsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Vulnerability Analysis of the Venetian Littoral and Adopted Mitigation Strategy

Ruol

Martinelli

Favaretto

2018

Water

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“…It is useful to acquire further information about the physical geography of particular region through computerisation to transmute vast databases into thematic maps. The GIS-DSS is two types; development of an information technology tool for the management of Southern European lagoons under the influence of river-basin runoff (DITTY-DSS) (Agnetis et al 2006;Mocenni et al 2009;Casini et al 2015) and decision support system for coastal climate change impact assessment (DESYCO-DSS) (Santoro et al 2013;Zanuttigh et al 2014). …”

Section: Gis-based Decision Support Systems (Gis-dss)mentioning

confidence: 99%

Coastal infrastructure vulnerability: an integrated assessment model

Kantamaneni

2016

Nat Hazards

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The significance of coastal regions to the infrastructure and the need to protect such assets are crucial to the economy of countries. Therefore, there is a real need to enhance the understanding of coastal infrastructure susceptibility as well as to develop methodologies to estimate vulnerability. A review of the literature regarding coastal vulnerability reveals that the focus has been on geomorphological and physical parameters but not infrastructure and the associated fiscal factors. In order to address this knowledge gap, an innovative model is developed, i.e., the Coastal Infrastructure Vulnerability Index (CIVI). Then the model is applied to the case of the Aberystwyth coast demonstrating how the model estimates the vulnerability of the coastal infrastructure (comprising population, commercial and residential properties). Subsequently, the CIVI scores were used to rank coastal sections into five classes, ranging from extremely low to extremely high, based on the relative magnitude of the vulnerability. The rankings for each parameter were combined, and then an index value was calculated. Results revealed that Aberystwyth contains more than £40 billion of coastal infrastructure vulnerability and more than 10,000 inhabitants are at the high coastal risk posed by flooding, erosion, storm surges, and strong winds.

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“…Shim et al (2002) describe a SDSS for integrated river basin flood control using real-time data, model data, and a GUI (Graphical User Interface) interface flood control within a river basin. Furthermore, Zanuttigh et al (2014a, b) describe and present case studies using an open-source SDSS, which was developed for the THESEUS project (www.theseusproject.eu); the tool allows users to perform an integrated coastal risk assessment. According to Matthies et al (2007) a typical EDSS consists of a collection of environmental models, databases and management tools, which are integrated within a graphical user interface, that can utilise the spatial functionality provided by GIS.…”

Section: Introductionmentioning

confidence: 99%

Application of flood risk modelling in a web-based geospatial decision support tool for coastal adaptation to climate change

Knight

Prime

Brown

et al. 2015

Nat. Hazards Earth Syst. Sci.

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Abstract.A pressing problem facing coastal decision makers is the conversion of "high-level" but plausible climate change assessments into an effective basis for climate change adaptation at the local scale. Here, we describe a web-based, geospatial decision support tool (DST) that provides an assessment of the potential flood risk for populated coastal lowlands arising from future sea-level rise, coastal storms, and high river flows. This DST has been developed to support operational and strategic decision making by enabling the user to explore the flood hazard from extreme events, changes in the extent of the flood-prone areas with sea-level rise, and thresholds of sea-level rise where current policy and resource options are no longer viable. The DST is built in an open-source GIS that uses freely available geospatial data. Flood risk assessments from a combination of LISFLOOD-FP and SWAB (Shallow Water And Boussinesq) models are embedded within the tool; the user interface enables interrogation of different combinations of coastal and river events under rising-sea-level scenarios. Users can readily vary the input parameters (sea level, storms, wave height and river flow) relative to the present-day topography and infrastructure to identify combinations where significant regime shifts or "tipping points" occur. Two case studies demonstrate the attributes of the DST with respect to the wider coastal community and the UK energy sector. Examples report on the assets at risk and illustrate the extent of flooding in relation to infrastructure access. This informs an economic assessment of potential losses due to climate change and thus provides local authorities and energy operators with essential information on the feasibility of investment for building resilience into vulnerable components of their area of responsibility.

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THESEUS decision support system for coastal risk management

Cited by 75 publications

References 43 publications

Vulnerability Analysis of the Venetian Littoral and Adopted Mitigation Strategy

Vulnerability Analysis of the Venetian Littoral and Adopted Mitigation Strategy

Coastal infrastructure vulnerability: an integrated assessment model

Application of flood risk modelling in a web-based geospatial decision support tool for coastal adaptation to climate change

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