April 3, 2020 Conference paper Open Access

Gerasimos Antzoulatos; Anastasios Karakostas; Stefanos Vrochidis; Ioannis Kompatsiaris; Francesca Lombardo; Danielle Norbiato; Michele Ferri

MARC21 XML Export

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    <subfield code="a">Early Warning System</subfield>
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    <subfield code="d">27-30 November 2018</subfield>
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    <subfield code="a">2nd International Conference on Citizen Observatories for natural hazards and Water Management</subfield>
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    <subfield code="a">Enhancing decision support and management services in extreme weather climate events</subfield>
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    <subfield code="a">&lt;p&gt;Crisis management is a dynamic, complex and multi-disciplinary process, consisting of consecutive sets of activities to collect information, analyse heterogeneous data, formulate alternatives, decision-making processes, implementation, and monitoring. Especially, in the content of the natural disaster the emergence of numerous Early Warning systems and specialised Decision Support Systems (DSS) plays an important role in assisting to reduce the risks resulting from the interaction of human societies and their natural environments. Currently, the majority of these emerged tools are not capable to provide an integrated and generalised framework for formulating decision options for crisis level estimation and risk assessment. Furthermore, the advances to the IoT as well as the increasingly volume of heterogeneous data from multiple resources (mobile phones and Apps, sensory data, drones etc) generate new capabilities and opportunities to timely alerting and tackling effectively an extreme weather or natural phenomenon. The authorities and decision makers should confront new challenges in flood risk management by operating in a holistic and interoperable framework combining data from multiple resources. A few efforts are towards on this direction by proposing generalised platforms combining the flood risk management relevant science, such as FLOODSS.&lt;/p&gt;</subfield>
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