Fusion of data from social media and physical sensors for rainfall monitoring

• Grant number: 17/15413-0
• Support type: Scholarships in Brazil - Doctorate
• Effective date (Start): August 01, 2017
• Effective date (End): August 16, 2019
• Field of knowledge: Interdisciplinary Subjects
• Principal researcher: Alexandre Cláudio Botazzo Delbem
• Grantee: Sidgley Camargo de Andrade
• Home Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
• Associated research grant: 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry, AP.CEPID
• Associated scholarship(s): 19/01717-2 - Building a spatial fairness model in social media analysis, BE.EP.DR

Abstract

This project will focus on fusion of data from social media and physical sensors for rainfall monitoring. social media has been a valuable source of (near) real-time information that can be employed to heighten the data obtained from physical sensors, as well as increase the spatial coverage over surveillance areas. Hence, social media platforms can be seen as a channel which provides a way to spread timely and fine-grained information, in effect by allowing people to act as human sensors. Furthermore, there are an insufficient number of physical sensors distributed in the territory of Brazil and lack of accurate and updated data on urban areas. Information fusion and data mining techniques will be employed to achieve the objective of improving rainfall monitoring on urban areas. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

DE ANDRADE, SIDGLEY CAMARGO; PORTO DE ALBUQUERQUE, JOAO; RESTREPO-ESTRADA, CAMILO; WESTERHOLT, RENE; RODRIGUEZ, CARLOS AUGUSTO MORALES; MENDIONDO, EDUARDO MARIO; DELBEM, ALEXANDRE CLAUDIO BOTAZZO. The effect of intra-urban mobility flows on the spatial heterogeneity of social media activity: investigating the response to rainfall events. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, AUG 2021. Web of Science Citations: 0.

DE ANDRADE, SIDGLEY CAMARGO; RESTREPO-ESTRADA, CAMILO; NUNES, LUIZ HENRIQUE; MORALES RODRIGUEZ, CARLOS AUGUSTO; ESTRELLA, JULIO CEZAR; BOTAZZO DELBEM, ALEXANDRE CLAUDIO; DE ALBUQUERQUE, JOAO PORTO. A multicriteria optimization framework for the definition of the spatial granularity of urban social media analytics. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, v. 35, n. 1 JUN 2020. Web of Science Citations: 1.

RESTREPO-ESTRADA, CAMILO; DE ANDRADE, SIDGLEY CAMARGO; ABE, NARUMI; FAVA, MARIA CLARA; MENDIONDO, EDUARDO MARIO; DE ALBUQUERQUE, JOAO PORTO. Geo-social media as a proxy for hydrometeorological data for streamflow estimation and to improve flood monitoring. Computers & Geosciences, v. 111, p. 148-158, FEB 2018. Web of Science Citations: 14.

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

ANDRADE, Sidgley Camargo de. Mining of rainfall patterns from social media for supporting flood risk management. 2020. Doctoral Thesis - Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB) São Carlos.