Coastal risk forecast system

André Sabino (), Pedro Poseiro (), Armanda Rodrigues (), Maria Teresa Reis (), Conceição J. Fortes (), Rui Reis () and João Araújo ()
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André Sabino: Universidade NOVA de Lisboa
Pedro Poseiro: National Laboratory for Civil Engineering (LNEC)
Armanda Rodrigues: Universidade NOVA de Lisboa
Maria Teresa Reis: National Laboratory for Civil Engineering (LNEC)
Conceição J. Fortes: National Laboratory for Civil Engineering (LNEC)
Rui Reis: National Laboratory for Civil Engineering (LNEC)
João Araújo: Universidade NOVA de Lisboa

Journal of Geographical Systems, 2018, vol. 20, issue 2, No 4, 159-184

Abstract: Abstract The run-up and overtopping by sea waves are two of the main processes that threaten coastal structures, leading to flooding, destruction of both property and the environment, and harm to people. To build early warning systems, the consequences and associated risks in the affected areas must be evaluated. It is also important to understand how these two types of spatial information integrate with sensor data sources and the risk assessment methodology. This paper describes the relationship between consequences and risk maps, their role in risk management and how the HIDRALERTA system integrates both aspects in its risk methodology. It describes a case study for Praia da Vitória Port, Terceira Island, Azores, Portugal, showing that the main innovations in this system are twofold: it represents the overtopping flow and consequent flooding, which are critical for coastal and port areas protected by maritime structures, and it works also as a risk assessment tool, extremely important for long-term planning and decision-making. Moreover, the implementation of the system considers possible known variability issues, enabling changes in its behaviour as needs arise. This system has the potential to become a useful tool for the management of coastal and port areas, due to its capacity to effectively issue warnings and assess risks.

Keywords: Wave overtopping; Coastal flooding; Risk management; Early warning; Geographic information systems; Software product lines (search for similar items in EconPapers)
JEL-codes: C33 C54 C63 C8 E Q54 (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/s10109-018-0266-5

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