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<p>Cities serve as major economic centers and experience significant socio-economic impacts from urban flooding, necessitating user-friendly decision-support tools. This study presents an R-based automated, web-messaging-based quasi-operational near real-time framework for rainfall and flood information dissemination. The framework integrates automated data acquisition and develops rainfall and consequence-specific flood risk maps using a probabilistic hazard-vulnerability approach; offering a scalable tool in resource-constrained cities, with potential extension to finer temporal scales.</p>

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Web-messaging-based dissemination of urban rainfall and flood information: a Telegram bot framework

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月2日

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  • Padmini Ponukumati,
  • Satish Kumar Regonda

摘要

Cities serve as major economic centers and experience significant socio-economic impacts from urban flooding, necessitating user-friendly decision-support tools. This study presents an R-based automated, web-messaging-based quasi-operational near real-time framework for rainfall and flood information dissemination. The framework integrates automated data acquisition and develops rainfall and consequence-specific flood risk maps using a probabilistic hazard-vulnerability approach; offering a scalable tool in resource-constrained cities, with potential extension to finer temporal scales.