Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Flood Disaster Management System for Situation Awareness and Response Using Twitter Data

Domaine:

climategeospatial

Type de record:

papersoftwaredataset
Créateur:
GerYam
Éditeur:
TheJunYukDim
Éditeur:
CCSDSpringer International Publishing
Hôte:avatar
Part 1: Information Analysis for Situation Awareness International audience Social media has increasingly become a convenient tool for sharing and consuming information during emergencies and disasters such as floods. The annual floods of the River Nile in South Sudan devastates lives and property, leaving towns and villages submerged. The present study focuses on utilizing data from Twitter to develop a Flood Disaster Management System for Situation Awareness. Tweets about flooding are gathered and filtered from Twitter. Tweet location or mentions of locations or hashtags are important in getting the relevant content on flooding in South Sudan. Towns with reported flooding are represented on a web application with GIS functionalities. Information for Situation Awareness is generated and shared with flood victims, potential victims and humanitarian organizations, governmental and non-governmental organizations concerned with disaster response. The data collected during the half of the 2021 rainy season was experimentally used to evaluate this research and two of the areas reported to have had severe flooding in July and August 2021 based on Twitter data were also featured in an information report released by the United Nations Office for Coordination of Humanitarian Affairs (OCHA) in the first week of August 2021. The study aims to fully operationalize the Flood Disaster Management System for Situation Awareness and Response using Twitter in the next rainy season in 2022. This study shows that social media, particularly twitter is vital for gathering user generated flood related data and generating information for situation awareness which in turn can improve awareness and disaster response by partners concerned with disasters.

Visit

inria.hal.science

Tags

Flooding;Twitter;Disaster management;Disaster response[INFO]Computer Science [cs]

Licenses

http://creativecommons.org/licenses/by/info:eu-repo/semantics/OpenAccess

Similaires

Crowd<sup>SA</sup> — towards adaptive and situation-driven crowd-sensing for disaster situation awarenessAnalyzing trends for agricultural decision support system using twitter dataApplication of topological data analysis to flood disaster management in NigeriaDecastro95/flood-awareness-gis-systemEarly Warning System for Flood Disaster Prediction in Wetland Area in Greater Yola Using Adaptive Neuro Fuzzy Inference SystemOptimising knowledge management practices for improved collaboration in disaster response

Crowd<sup>SA</sup> — towards adaptive and situation-driven crowd-sensing for disaster situation awareness

Analyzing trends for agricultural decision support system using twitter data

The trends and reactions of the general public towards global events can be analyzed using data from

Application of topological data analysis to flood disaster management in Nigeria

The importance of this research to the literature lies in the ability to develop a hybrid method of

Decastro95/flood-awareness-gis-system

A GIS-based flood awareness and risk mapping system for Northern Namibia. # Flood Awareness GIS Sys

Early Warning System for Flood Disaster Prediction in Wetland Area in Greater Yola Using Adaptive Neuro Fuzzy Inference System

International audience Natural calamity disrupts our daily life activities; thereby b

Optimising knowledge management practices for improved collaboration in disaster response

Disaster response operations are inherently complex, requiring effective collaboration between vario