Wealth Over Woe: Global Biases in Hydro‐Hazard Research

Abstract Floods, droughts, and rainfall‐induced landslides are hydro‐hazards that affect millions of people every year. Anticipation, mitigation, and adaptation to these hazards is increasingly outpaced by their changing magnitude and frequency due to climate change. A key question for society is whether the research we pursue has the potential to address knowledge gaps and to reduce potential future hazard impacts where they will be most severe. We use natural language processing, based on a new climate hazard taxonomy, to review, identify, and geolocate out of 100 million abstracts those that deal with hydro‐hazards. We find that the spatial distribution of study areas is mostly defined by human activity, national wealth, data availability, and population distribution. Hydro‐hazard events that impact large numbers of people lead to increased research activity, but with a strong disparity between low‐ and high‐income countries. We find that 100 times more people need to be affected by hazards before low‐income countries reach comparable research activity to high‐income countries. This “Wealth over Woe” bias needs to be addressed by enabling and targeting research on hydro‐hazards in highly impacted and under‐researched regions, or in those sufficiently socio‐hydrologically similar. We urgently need to reduce knowledge base biases to mitigate and adapt to changing hydro‐hazards if we want to achieve a sustainable and equitable future for all global citizens.

Authors

Institutions

Publication Details

Journal
Earth s Future
Published
2024-10-01
DOI
https://doi.org/10.1029/2024ef004590
Citations
16
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
4.52

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Wealth Over Woe: Global Biases in Hydro‐Hazard Research

Peter Staar, S. Karthik Mukkavilli, Thomas Brunschwiler, Uğur Öztürk et al.
16 citations
Earth s Future
Flood Risk Assessment and Management
4.52
article

Wealth Over Woe: Global Biases in Hydro‐Hazard Research

Peter Staar, S. Karthik Mukkavilli, Thomas Brunschwiler, Uğur Öztürk, Cèsar Berrospi, Thorsten Wagener, Lina Stein, Birgit M. Pfitzmann
article en
16 citations

Abstract

Abstract Floods, droughts, and rainfall‐induced landslides are hydro‐hazards that affect millions of people every year. Anticipation, mitigation, and adaptation to these hazards is increasingly outpaced by their changing magnitude and frequency due to climate change. A key question for society is whether the research we pursue has the potential to address knowledge gaps and to reduce potential future hazard impacts where they will be most severe. We use natural language processing, based on a new climate hazard taxonomy, to review, identify, and geolocate out of 100 million abstracts those that deal with hydro‐hazards. We find that the spatial distribution of study areas is mostly defined by human activity, national wealth, data availability, and population distribution. Hydro‐hazard events that impact large numbers of people lead to increased research activity, but with a strong disparity between low‐ and high‐income countries. We find that 100 times more people need to be affected by hazards before low‐income countries reach comparable research activity to high‐income countries. This “Wealth over Woe” bias needs to be addressed by enabling and targeting research on hydro‐hazards in highly impacted and under‐researched regions, or in those sufficiently socio‐hydrologically similar. We urgently need to reduce knowledge base biases to mitigate and adapt to changing hydro‐hazards if we want to achieve a sustainable and equitable future for all global citizens.

Earth s FutureVol. 12(10)
University of Potsdam (DE), IBM Research - Zurich (CH), GFZ Helmholtz Centre for Geosciences (DE)
Alexander von Humboldt-Stiftung
Openalex Percentile: Top 5%
Flood Risk Assessment and Management
4.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.