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Information system for analysis of large volumes of contaminated areas data

Grant number: 19/21693-0
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): March 01, 2020
Effective date (End): April 30, 2021
Field of knowledge:Physical Sciences and Mathematics - Computer Science
Principal Investigator:Pedro Luiz Pizzigatti Corrêa
Grantee:Rosa Virginia Encinas Quille
Home Institution: Escola de Artes, Ciências e Humanidades (EACH). Universidade de São Paulo (USP). São Paulo , SP, Brazil
Associated research grant:17/50343-2 - Institutional development plan in the area of digital transformation: advanced manufacturing and smart and sustainable cities (PDIp), AP.PDIP

Abstract

In this PhD research project proposes the development of high volume data management and system analysis for the management of contaminated areas to digital plan transformations, intelligent cities, and sustainable. Applications of this development involve soil remediation methods, emergency actions, among other types of interventions made by specialists and/or entities working on these concerning areas. The data to be used will vary from georeferenced data from different sources, such as historical data, dynamic data (i.e. optical, digital, laser, and radar airborne sensors) as well as other new studies. The characteristics of these data can be classified by a large amount of information (volume), potentially obtained by sensor technologies, where new elements are inserted in real time (velocity). The nature of the information is also very diverse, from historical data, to physical-chemical analysis of the materials present in the areas investigated (variety). Therefore, this data will be studied and processed by means of Data Science techniques, where a methodology of data analysis in the big data architecture will be proposed considering its applicability in the context of the smart and sustainable cities. (AU)