Data-driven recommendations for enhancing real-time natural hazard warnings, communication, and response Article Swipe

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Kate Saunders , Owen Forbes , Jess K. Hopf , Charlotte R. Patterson , Sarah A. Vollert , Kaitlyn Brown , Raiha Browning , Miguel Canizares , Richard S. Cottrell , Lanxi Li , Catherine J. S. Kim , Tace P. Stewart , Connie Susilawati , Xiang Zhao , Kate J. Helmstedt ·

YOU? · · 2023 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2311.14678

The effectiveness and adequacy of natural hazard warnings hinges on the availability of data and its transformation into actionable knowledge for the public. Real-time warning communication and emergency response therefore need to be evaluated from a data science perspective. However, there are currently gaps between established data science best practices and their application in supporting natural hazard warnings. This Perspective reviews existing data-driven approaches that underpin real-time warning communication and emergency response, highlighting limitations in hazard and impact forecasts. Four main themes for enhancing warnings are emphasised: (i) applying best-practice principles in visualising hazard forecasts, (ii) data opportunities for more effective impact forecasts, (iii) utilising data for more localised forecasts, and (iv) improving data-driven decision-making using uncertainty. Motivating examples are provided from the extensive flooding experienced in Australia in 2022. This Perspective shows the capacity for improving the efficacy of natural hazard warnings using data science, and the collaborative potential between the data science and natural hazards communities.

Related Topics

Natural Risk

Perspective (Graphical)

Artificial Intelligence

Organic Chemistry

Concepts

Hazard Natural hazard Perspective (graphical) Flooding (psychology) Warning system Computer science Natural (archaeology) Natural disaster Data science Risk analysis (engineering) Business Geography Psychology Telecommunications Meteorology Archaeology Chemistry Artificial intelligence Organic chemistry Psychotherapist

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Type: preprint
Language: en
Landing Page: http://arxiv.org/abs/2311.14678
PDF: https://arxiv.org/pdf/2311.14678
OA Status: green
Cited By: 1
Related Works: 10
OpenAlex ID: https://openalex.org/W4389115132

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DOI: https://doi.org/10.48550/arxiv.2311.14678

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Title: Data-driven recommendations for enhancing real-time natural hazard warnings, communication, and response

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Type: preprint

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Language: en

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Publication year: 2023

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Publication date: 2023-11-01

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Authors: Kate Saunders, Owen Forbes, Jess K. Hopf, Charlotte R. Patterson, Sarah A. Vollert, Kaitlyn Brown, Raiha Browning, Miguel Canizares, Richard S. Cottrell, Lanxi Li, Catherine J. S. Kim, Tace P. Stewart, Connie Susilawati, Xiang Zhao, Kate J. Helmstedt

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Landing page: https://arxiv.org/abs/2311.14678

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Concepts: Hazard, Natural hazard, Perspective (graphical), Flooding (psychology), Warning system, Computer science, Natural (archaeology), Natural disaster, Data science, Risk analysis (engineering), Business, Geography, Psychology, Telecommunications, Meteorology, Archaeology, Chemistry, Artificial intelligence, Organic chemistry, Psychotherapist

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Cited by: 1

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abstract_inverted_index.hazard	6, 56, 75, 93, 141
abstract_inverted_index.hinges	8
abstract_inverted_index.impact	77, 101
abstract_inverted_index.themes	81
abstract_inverted_index.between	44, 150
abstract_inverted_index.hazards	156
abstract_inverted_index.natural	5, 55, 140, 155
abstract_inverted_index.public.	22
abstract_inverted_index.reviews	60
abstract_inverted_index.science	37, 47, 153
abstract_inverted_index.warning	24, 67
abstract_inverted_index.However,	39
abstract_inverted_index.adequacy	3
abstract_inverted_index.applying	88
abstract_inverted_index.capacity	134
abstract_inverted_index.efficacy	138
abstract_inverted_index.examples	118
abstract_inverted_index.existing	61
abstract_inverted_index.flooding	124
abstract_inverted_index.provided	120
abstract_inverted_index.response	28
abstract_inverted_index.science,	145
abstract_inverted_index.underpin	65
abstract_inverted_index.warnings	7, 84, 142
abstract_inverted_index.Australia	127
abstract_inverted_index.Real-time	23
abstract_inverted_index.currently	42
abstract_inverted_index.effective	100
abstract_inverted_index.emergency	27, 70
abstract_inverted_index.enhancing	83
abstract_inverted_index.evaluated	33
abstract_inverted_index.extensive	123
abstract_inverted_index.improving	112, 136
abstract_inverted_index.knowledge	19
abstract_inverted_index.localised	108
abstract_inverted_index.potential	149
abstract_inverted_index.practices	49
abstract_inverted_index.real-time	66
abstract_inverted_index.response,	71
abstract_inverted_index.therefore	29
abstract_inverted_index.utilising	104
abstract_inverted_index.warnings.	57
abstract_inverted_index.Motivating	117
abstract_inverted_index.actionable	18
abstract_inverted_index.approaches	63
abstract_inverted_index.forecasts,	94, 102, 109
abstract_inverted_index.forecasts.	78
abstract_inverted_index.principles	90
abstract_inverted_index.supporting	54
abstract_inverted_index.Perspective	59, 131
abstract_inverted_index.application	52
abstract_inverted_index.data-driven	62, 113
abstract_inverted_index.emphasised:	86
abstract_inverted_index.established	45
abstract_inverted_index.experienced	125
abstract_inverted_index.limitations	73
abstract_inverted_index.visualising	92
abstract_inverted_index.availability	11
abstract_inverted_index.communities.	157
abstract_inverted_index.highlighting	72
abstract_inverted_index.perspective.	38
abstract_inverted_index.uncertainty.	116
abstract_inverted_index.best-practice	89
abstract_inverted_index.collaborative	148
abstract_inverted_index.communication	25, 68
abstract_inverted_index.effectiveness	1
abstract_inverted_index.opportunities	97
abstract_inverted_index.transformation	16
abstract_inverted_index.decision-making	114
cited_by_percentile_year
countries_distinct_count	0
institutions_distinct_count	15
citation_normalized_percentile