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Summary
This summary is machine-generated.

Flooding impacts development, reversing poverty alleviation gains. This study links flood management keyword density to country-level macroenvironment indicators, revealing interconnectedness and the influence of sustainability on flood awareness.

Keywords:
FloodsHolistic approachMultiple criteria and statistical analysisSentiment analysisWorld mapWorld models

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Area of Science:

  • Environmental Science
  • Development Studies
  • Data Science

Background:

  • Flooding poses significant global development challenges, impacting poverty alleviation and community resilience.
  • Effective flood management requires understanding complex interactions between various stakeholders and environmental factors.
  • Existing research often lacks a holistic, data-driven approach to analyzing flood management information.

Purpose of the Study:

  • To investigate the relationship between flood management keyword density and macroenvironment indicators across 76 countries.
  • To develop predictive models for understanding flood management awareness based on national development metrics.
  • To identify key flood management themes and their connection to a country's broader socio-economic and environmental context.

Main Methods:

  • Analysis of 506 flood management keywords from Google Search results correlated with 32 macroenvironment indicators.
  • Development of 506 neural network models to examine keyword density linkages.
  • Utilized Microsoft Azure AI and ChatGPT for abstractive summarization of key flood management terms and macroenvironment indicators.

Main Results:

  • Flood management keyword density is significantly interconnected with environmental, social, economic, political, and cultural dimensions of countries.
  • Improvements in national sustainability and performance metrics correlate with increased usage of flood management keywords.
  • Countries with unfavorable macroenvironments published fewer sentiment analysis papers, suggesting a link between conditions and research output.

Conclusions:

  • Flood management awareness and research are influenced by a nation's macroenvironmental conditions and sustainability efforts.
  • Data-driven analysis of keyword density offers insights into societal engagement with flood risk.
  • This research provides stakeholders with evidence-based information for more comprehensive flood management strategies.