Physical- and Social-Based Rain Gauges—A Case Study on Urban Flood Detection-Reference-Cited by-同舟云学术

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

Published:2023-04-06 Issue:4 Volume:13 Page:111
ISSN:2076-3263
Container-title:Geosciences
language:en
Short-container-title:Geosciences

Author:

Hossaki Vitor Y.¹²^ORCID,Seron Wilson F. M. S.³^ORCID,Negri Rogério G.¹^ORCID,Londe Luciana R.²^ORCID,Tomás Lívia R.²,Bacelar Roberta B.⁴,Andrade Sidgley C.⁵^ORCID,Santos Leonardo B. L.²^ORCID

Affiliation:

1. Sciences and Technology Institute, São José dos Campos, State University (UNESP), São José dos Campos 12224-300, Brazil

2. National Center for Monitoring and Early Warning of Natural Disasters (Cemaden), São José dos Campos 12247-016, Brazil

3. Digital Media and Society Observatory, Federal University of São Paulo (UNIFESP), São José dos Campos 12231-280, Brazil

4. Department of Communication, Anhanguera College, São José dos Campos 12236-660, Brazil

5. Federal University of Technology—Paraná (UTFPR), Toledo 85902-490, Brazil

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.

Funder

São Paulo Research Foundation

National Council for Scientific and Technological Development

Federal University of Technology—Paraná (UTFPR) and São Paulo State University

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Link

https://www.mdpi.com/2076-3263/13/4/111/pdf

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