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Peer-reviewedCC BYnpj Natural Hazards

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

  • Padmini Ponukumati1
  • Satish Kumar Regonda1
  1. 1Department of Civil Engineering, Indian Institute of Technology
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Abstract

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.

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Cite

BibTeXRIS
BibTeX
@article{ponukumati2026webmessagingbased,
  title = {{Web-messaging-based dissemination of urban rainfall and flood information: a Telegram bot framework}},
  author = {Padmini Ponukumati and Satish Kumar Regonda},
  journal = {npj Natural Hazards},
  year = {2026},
  month = jul,
  doi = {10.1038/s44304-026-00234-3},
  url = {https://doi.org/10.1038/s44304-026-00234-3},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Web-messaging-based dissemination of urban rainfall and flood information: a Telegram bot framework
AU  - Padmini Ponukumati
AU  - Satish Kumar Regonda
PY  - 2026
DA  - 2026/07/01
JO  - npj Natural Hazards
DO  - 10.1038/s44304-026-00234-3
UR  - https://doi.org/10.1038/s44304-026-00234-3
AB  - 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.
SN  - 2948-2100
ER  -