Physical- and Social-Based Rain Gauges-A Case Study on Urban Flood Detection

Author(s)

Hossaki, Vitor Y. ; Seron, Wilson F. M. S. ; Negri, Rogerio G. ; Londe, Luciana R. ; Tomas, Livia R. ; Bacelar, Roberta B. ; Andrade, Sidgley C. ; Santos, Leonardo B. L.

• Document type: Journal article
• Source: GEOSCIENCES; v. 13, n. 4, p. 11-pg., 2023-04-01.

Abstract

Floods are among the most frequent and costly rainfall-triggered disasters. In this context, geospatial content generated by non-professionals using geolocated systems offers the possibility of monitoring environmental events. This study shows a statistical correlation between in situsensors, radar, Twitter posts, and flooding events. Furthermore, we observed in this study that flooding-related keywords are statistically more significant on flooding days than on non-flooding days and reinforce that Twitter can be employed as a complementary data source for flood management systems. (AU)

• FAPESP's process: 21/01305-6 - Theoretical advances on anomaly detection and environmental monitoring systems building
• Grantee: Rogério Galante Negri
• Support Opportunities: Regular Research Grants