LightningBR: Ferramenta Web para Visualização e Análise de Ocorrência de Raios no Brasil
Resumo
Monitoring lightning occurrences is extremely important due to the potential negative impacts this phenomenon can cause to human and animal life, civil aviation, and electrical power and telecommunication systems. In this regard, this work presents the LightningBR a web tool developed for analysis and visualization of cloud-to-ground and intra-cloud lightning occurrences, using raw data from the ENTLN (Earth Networks Total Lightning Network). The development of this work consisted of two main parts: the first part involved the creation of the Back-end using a Node.js server, MongoDB Atlas database, and Leaflet JS API. The second part involved the development of the Front-end responsible for the visual aspects of the system. In this stage, HTML (HyperText Markup Language), CSS (Cascading Style Sheets), JavaScript, and Figma were used. The tool’s functionalities were tested with lightning data from an anonymous city in Brazil, proving to be feasible for continuous monitoring of lightning occurrences.
Referências
Earth Networks. 2023. Sferic Maps Real-Time Weather Alerts & Situational Awareness. [link] Acessado: Setembro de 2023.
INPE/ELAT. 2023. ELAT - grupo de eletricidade atmosférica. [link] Acessado: Dezembro de 2023.
Jeff Lapierre, Mark Hoekzema, Michael Stock, Chad Merrill, and Saiadithya Cumbulam Thangaraj. 2019. Earth networks lightning network and dangerous thunderstorm alerts. In 2019 11th Asia-Pacific International Conference on Lightning (APL). IEEE, 1 – 5.
