Exploratory analysis of fire statistical data and prospective study applied to security and protection systems-Reference-Cited by-同舟云学术

Exploratory analysis of fire statistical data and prospective study applied to security and protection systems

Published:2021-07 Issue: Volume:61 Page:102308
ISSN:2212-4209
Container-title:International Journal of Disaster Risk Reduction
language:en
Short-container-title:International Journal of Disaster Risk Reduction

Author:

Araujo Lima Geovana Pires^ORCID,Viana Barbosa Josiane Dantas,Beal Valter Estevão,Moret S. Gonçalves Marcelo Albano,Souza Machado Bruna Aparecida,Gerber Juliano Zaffalon,Lazarus Benjamin S.

Publisher

Elsevier BV

Subject

Geology,Safety Research,Geotechnical Engineering and Engineering Geology

Reference91 articles.

1. NFPA 921: Guide for Fire and Explosion Investigations;Nfpa921,2014

2. Implementation Science: International Encyclopedia of the Social Behavioral Sciences;Wright,2015

3. World Fire Statistics/center of Fire Statistics of ctif.–2019;Brushlinsky,2019

4. Structural Integrity of Notre Dame Cathedral after the Fire of April 15th;Vannucci,2019

5. Comparative study of building fire safety regulations in different brazilian states;Rodrigues;Journal of Building Engineering,2017

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