Development of an automated system for weather data collection and forecasting climate events by means of radio frequency

Autores

DOI:

https://doi.org/10.13083/reveng.v29i1.9006

Palavras-chave:

Automation, Decision, Forecast, Meteorology, Radiofrequency, Station

Resumo

The weather forecasting method is based on the analysis of data collected to support decision-making. This paper describes the development of a weather station (prototype) to assist in monitoring plantations and forecasting extreme weather events. The strategy adopted is to use a set of stations connected via radiofrequency forming a communications network to better understand and anticipate such events. The weather forecasting method is based on analysis of data collected to support decision making. The laboratory tests were successful, but field tests had several difficulties and unforeseen events that will be described at the end of this paper.

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Referências

ALVARES, L.O.; SICHMAN, J. Introdução aos Sistemas Multiagentes. In: Jornada de Atualização em Informática, Congresso da SBC, p.1-38, 1997.

DEMAZEAU, Y. From interactions to collective behaviour agent-based system. In: European Conference On Cognitive Science, St. Malo, France, 1995.

FIELD, C.B.; BARROS, V.; STOCKER, T.F.; DAHE, Q. Managing The Risks Of Extreme Events And Disasters to Advance Climate Change Adaptation, Cambridge: University Press, 2012.

HERRING, S.C.; HOERLING, M.P.; KOSSIN, J.P.; PETERSON, T.C; STOTT, P.A. Explaining Extreme Events of 2014 from a Climate Perspective, Bulletin of the American Meteorological Society, v.96, n.12, p.1-172, 2015.

INSTITUTO DO MEIO AMBIENTE E RECURSOS HÍDRICOS (INEMA). O que é uma PCD?, 2011. Disponível em: <http://www.inema.ba.gov.br/wp-content/uploads/2011/10/O-que-%C3%A9-uma- PCD.pdf>. Acesso em: 16 de outubro de 2017.

INSTITUTO NACIONAL DE METEOROLOGIA (INMET). Rede de Estacoes Meteorológicas Automáticas do INMET. 2011. Disponível em: <http://www.inmet.gov.br/portal/css/content/topo_iframe/pdf/Nota_Tecnica-Rede_estacoes_INMET.pdf>. Acesso em: 15 de novembro de 2017.

MENDELSOHN, R.; Kurukulasuriya, P.; BASIST, A.; WILLIAMS, C.; KOGAN, F. Climate analysis with satellite versus weather station data. Climatic Change. In: Cross-Sectional analyses of climate change impacts, World Bank, p.33-58, 2004.

OTTO, F.E.L.; HAUSTEIN, K.; UHE, P.; COELHO, C.A.S.; ARAVEQUIA, J.A. Factors other than climate change, main drivers of 2014/15 water shortage in southeast Brazil, Explaining Extreme Events of 2014, MAS, 2014.

PAINEL BRASILEIRO DE MUDANÇAS CLIMÁTICAS (PBMC). Impacto, vulnerabilidade e adaptação das cidades costeiras brasileiras às mudanças climáticas, Relatório Especial do Painel Brasileiro de Mudanças Climáticas, COPPE – UFRJ, Rio de Janeiro, Brasil. 2016.

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Publicado

2020-12-08

Como Citar

Oba Ramos, C. C., & Roloff, M. L. (2020). Development of an automated system for weather data collection and forecasting climate events by means of radio frequency. Revista Engenharia Na Agricultura - REVENG, 28(Contínua), 415–424. https://doi.org/10.13083/reveng.v29i1.9006

Edição

Seção

Meteorologia Agrícola