Geoinformatics for Caribbean hurricane risk management and improved community resilience

Richard Teeuw; Mark Cannata; Athanasios V. Argyriou; Oren Lieberman

doi:10.1109/JURSE57346.2023.10144191

Geoinformatics for Caribbean hurricane risk management and improved community resilience

Richard Teeuw
, Mark Cannata
, Athanasios V. Argyriou
, Oren Lieberman

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

162 Downloads (Pure)

Abstract

Caribbean countries face increasing risks from the pressures of population growth and climate-driven geohazards, particularly those associated with hurricanes. This study illustrates how geoinformatics can assist emergency planning and community resilience. Data from geomorphological and civil engineering surveys in Dominica, carried out after Hurricane Maria (2017), have been augmented with digital elevation models from satellite and aerial sensors Those datasets have been integrated into a "Digital Twin" of neighborhoods, on which computational fluid dynamics analysis has been carried out, modeling hurricane wind impacts. A decision support system has been produced for testing climate change scenarios, as well as the impacts on resilience of changes to building locations or building designs. The information provided via those technologies can guide decision makers, from national emergency planners, to community leaders and householders.

Original language	English
Title of host publication	2023 Joint Urban Remote Sensing Event (JURSE) Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	4
ISBN (Electronic)	9781665493734
ISBN (Print)	9781665493741
DOIs	https://doi.org/10.1109/JURSE57346.2023.10144191
Publication status	Published - 8 Jun 2023
Event	2023 Joint Urban Remote Sensing Event (JURSE) - Heraklion, Greece Duration: 17 May 2023 → 19 May 2023

Publication series

Name	2023 Joint Urban Remote Sensing Event (JURSE)
Publisher	IEEE
ISSN (Print)	2334-0932
ISSN (Electronic)	2642-9535

Conference

Conference	2023 Joint Urban Remote Sensing Event (JURSE)
Period	17/05/23 → 19/05/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action

Keywords

Hurricane risk management
ALOS PALSAR DEM
LIDAR
drone photogrammetry
Digital Twin
fluid dynamics
decision support system
emergency planning
community resilience
UKRI
NERC
NE/RO16968/1

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10.1109/JURSE57346.2023.10144191

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https://jurse2023.org/

Cite this

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title = "Geoinformatics for Caribbean hurricane risk management and improved community resilience",

abstract = "Caribbean countries face increasing risks from the pressures of population growth and climate-driven geohazards, particularly those associated with hurricanes. This study illustrates how geoinformatics can assist emergency planning and community resilience. Data from geomorphological and civil engineering surveys in Dominica, carried out after Hurricane Maria (2017), have been augmented with digital elevation models from satellite and aerial sensors Those datasets have been integrated into a {"}Digital Twin{"} of neighborhoods, on which computational fluid dynamics analysis has been carried out, modeling hurricane wind impacts. A decision support system has been produced for testing climate change scenarios, as well as the impacts on resilience of changes to building locations or building designs. The information provided via those technologies can guide decision makers, from national emergency planners, to community leaders and householders.",

keywords = "Hurricane risk management, ALOS PALSAR DEM, LIDAR, drone photogrammetry, Digital Twin, fluid dynamics, decision support system, emergency planning, community resilience, UKRI, NERC, NE/RO16968/1",

author = "Richard Teeuw and Mark Cannata and Argyriou, \{Athanasios V.\} and Oren Lieberman",

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language = "English",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2023 Joint Urban Remote Sensing Event (JURSE) Proceedings",

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note = "2023 Joint Urban Remote Sensing Event (JURSE) ; Conference date: 17-05-2023 Through 19-05-2023",

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Teeuw, R, Cannata, M, Argyriou, AV & Lieberman, O 2023, Geoinformatics for Caribbean hurricane risk management and improved community resilience. in 2023 Joint Urban Remote Sensing Event (JURSE) Proceedings. 2023 Joint Urban Remote Sensing Event (JURSE), Institute of Electrical and Electronics Engineers Inc., 2023 Joint Urban Remote Sensing Event (JURSE), 17/05/23. https://doi.org/10.1109/JURSE57346.2023.10144191

Geoinformatics for Caribbean hurricane risk management and improved community resilience. / Teeuw, Richard; Cannata, Mark; Argyriou, Athanasios V. et al.
2023 Joint Urban Remote Sensing Event (JURSE) Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 Joint Urban Remote Sensing Event (JURSE)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - Caribbean countries face increasing risks from the pressures of population growth and climate-driven geohazards, particularly those associated with hurricanes. This study illustrates how geoinformatics can assist emergency planning and community resilience. Data from geomorphological and civil engineering surveys in Dominica, carried out after Hurricane Maria (2017), have been augmented with digital elevation models from satellite and aerial sensors Those datasets have been integrated into a "Digital Twin" of neighborhoods, on which computational fluid dynamics analysis has been carried out, modeling hurricane wind impacts. A decision support system has been produced for testing climate change scenarios, as well as the impacts on resilience of changes to building locations or building designs. The information provided via those technologies can guide decision makers, from national emergency planners, to community leaders and householders.

AB - Caribbean countries face increasing risks from the pressures of population growth and climate-driven geohazards, particularly those associated with hurricanes. This study illustrates how geoinformatics can assist emergency planning and community resilience. Data from geomorphological and civil engineering surveys in Dominica, carried out after Hurricane Maria (2017), have been augmented with digital elevation models from satellite and aerial sensors Those datasets have been integrated into a "Digital Twin" of neighborhoods, on which computational fluid dynamics analysis has been carried out, modeling hurricane wind impacts. A decision support system has been produced for testing climate change scenarios, as well as the impacts on resilience of changes to building locations or building designs. The information provided via those technologies can guide decision makers, from national emergency planners, to community leaders and householders.

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ER -

Geoinformatics for Caribbean hurricane risk management and improved community resilience

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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