Nowcasting: Analysis of the monitoring and warning system for civil defense in the state of Santa Catarina

Authors

DOI:

https://doi.org/10.53455/re.v2i.38

Keywords:

Sistema de alerta, eventos extremos, gestão de risco de desastres.

Abstract

Context: Early warning systems can be considered as one of the main non-structural measures to prepare for natural disasters. The occurrence of extreme weather events is becoming increasingly common, especially within the context of Santa Catarina. Several studies indicate that such phenomena are associated with the effects of climate change and the anthropic effect on the environment. Given these assumptions, the research aims to analyze how the civil defense disaster warning system, Nowcasting, performs the production of alerts to the population in the face of hydrometeorological phenomena. Methods: This research is of an applied nature and a qualitative approach will be used with the objective of describing the Santa Catarina alert system used in the technical documental procedures. It will identify which meteorological products and services are available for issuing alerts, which criteria are used to decide on the communication of alerts, which alerts were disseminated in the period from 2018 to 2021 and their distribution by municipality. Results: It is expected that this research will enable proposals for improving the tool by the scientific community after a qualitative analysis of the production of alerts and subsidize municipalities with knowledge of the hydrometeorological risk inherent in their regions and the dissemination of information at the local level.

Downloads

Download data is not yet available.

References

BASHER, Reid. Global early warning systems for natural hazards: systematic and people-centred. Philosophical Transactions of The Royal Society A. n. 364, p. 2167-2182, 28 Jun. 2006. http://doi.org/10.1098/rsta.2006.1819 DOI: https://doi.org/10.1098/rsta.2006.1819

BLANK, D. M. P. The context of climate changes and its victims. Mercator, Fortaleza, v. 14, n. 2, p. 157-172, mai./ago. 2015. http://doi.org/10.4215/RM2015.1402.0010 DOI: https://doi.org/10.4215/RM2015.1402.0010

BRASIL. Política Nacional de Proteção e Defesa Civil - PNPDEC. Brasília. Lei Federal nº 12.608. Presidência da República, 2012. Disponivel em: (http://www.planalto.gov.br/ccivil_03/_ato2011-2014/2012/lei/l12608.htm) Acesso: 18 fev. 2021.

BRASIL. Agência Nacional de Telecomunicações. RJ, RS e ES passam a contar com serviço de alerta de desastres naturais por SMS. Brasília. 03 Jan. 2018. Disponível em: (https://www.gov.br/anatel/pt-br/assuntos/noticias/rj-rs-e-es-passam-a-contar-com-servico-de-alerta-de-desastres-naturais-por-sms) Acesso: 15 Ago. 2021.

BRASIL. Ministério do Desenvolvimento Regional. Guia Prático de Utilização de Alertas do Governo Federal para Ações de Preparação para Desastres. 1 ed. Brasília: PNUD Brasil, 2021.

BOUWER, L.M. Disasters and climate change: analyses and methods for projecting future losses fromextreme weather. 144 p. 2010. Tese, Institute for Environmental Studies (IVM), Amsterdã, Holanda, 2010.

CALSTER, G.V.; REINS, L. The Paris Agreement on Climate Change: A Commentary. Ed. 1, Cheltenham, UK: Edward Elgar. 2021. DOI: https://doi.org/10.4337/9781788979191.00008

CARDOSO, Daniel. Enchentes, deslizamentos e a sociedade em rede: um estudo sobre o fluxo de informação em desastres naturais a partir do caso de Petrópolis 2013. 132 p. 2015. Dissertação (Mestrado em Ciência da Informação), Universidade Federal de Santa Catarina, Florianópolis, 2015.

FAVERO, E.; SARRIERA, J.C.; TRINDADE, M.C. O Desastre na Perspectiva Sociológica e Psicológica. Psicologia em Estudo, Maringá, v. 19, n. 2, p. 201-209, abr./jun. 2014. http://dx.doi.org/10.1590/1413-737221560003 DOI: https://doi.org/10.1590/1413-737221560003

HEFFER, C.O. Rio de Janeiro City’s Early Warning System for Heavy Rain. ELLA Policy Brief, Practical Action Consulting, Lima, Peru, p. 1-7, 01 Jan. 2013.

HERRING, S.C., CHRISTIDIS, N., HOELL. A., KOSSIN, J.P., SCHRECK C.J., STOTT, P.A. Explaining Extreme Events of 2016 from a Climate Perspective. Special Supplement to the Bulletin of the American Meteorological Society, v. 99, n. 1, p. 1-157, Jan. 2018. DOI: https://doi.org/10.1175/BAMS-ExplainingExtremeEvents2016.1

HORITA, F. E., ALBUQUERQUE, J. P. D., MARCHEZINI, V. & MENDIONDO, E. M. M., Bridging the gap between decision making and emerging big data sources: an application of a model-based framework to disaster management in Brazil. Decision Support Systems, v. 97, p. 12-22, Mai. 2017. https://doi.org/10.1016/j.dss.2017.03.001 DOI: https://doi.org/10.1016/j.dss.2017.03.001

IPCC, AR6. The Intergovernmental Panel on Climate Change. Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, Reino Unido, 2021.

KAHRAMAN, A.; KENDON, E.J.; CHAN, S.C.; FOWLER, H.J. Quasi-stationary intense rainstorms spread across Europe under climate change. Geophysical Research Letters. v. 48, n. 13, p. 1–11, 30 Jun. 2021. https://doi.org/10.1029/2020GL092361. DOI: https://doi.org/10.1029/2020GL092361

KELMAN, I.; GLANTZ, M.H. Early warning systems defined. Reducing Disaster: Early Warning Systems For Climate Change. p. 89-108, 27 Jan. 2014. https://doi.org/10.1007/978-94-017-8598-3_5 DOI: https://doi.org/10.1007/978-94-017-8598-3_5

LINDSEY, Rebecca. Extreme event attribution: the climate versus weather blame game, Climate Watch Magazine, NOAA, 15 Dez 2016. Disponível em: (https://www.climate.gov/news-features/understanding-climate/extreme-event-attribution-climate-versus-weather-blame-game). Acesso: 12 Ago 2021.

LUZ, M.B.; FILGUEIRA, H.J.A. Sistemas de alerta a desastres relacionados com fenômenos naturais: algumas alternativas no brasil e no mundo. In: I Encontro Nacional de Desastres. Associação Brasileira de Recursos Hídricos, Porto Alegre - RS. p. 1-8, 25 a 27 de Jun. 2018. Disponível em: (https://files.abrhidro.org.br/Eventos/Trabalhos/79/END130.pdf) Acesso em: 23 Jul. 2021.

MARCHEZINI, V.; LONDE, L.R.; BERNARDES, T.; CONCEIÇAO R.S; EV SANTOS, E.V.; SAITO, S.M.; SOLER, L.; SILVA, A.E.P.; BORTOLETTO, K.C.; MEDEIROS, M.D.S.; GONÇALVES, D.A. Sistema de alerta de risco de desastres no Brasil: desafios à redução da vulnerabilidade institucional. Reduction of vulnerability to disasters: from knowledge to action. p. 287-310, 2017.

ONUa. Sendai framework for disaster risk reduction 2015–2030. In: UN world conference on disaster risk reduction, 2015 March 14–18, Sendai, Japan. Geneva: United Nations Office for Disaster Risk Reduction; 2015.

ONUb. Organização das Nações Unidas. Transformando Nosso Mundo: A Agenda 2030 para o Desenvolvimento Sustentável. 2015. Disponível em: <https://nacoesunidas.org/wp-content/uploads/2015/10/agenda2030-pt-br.pdf > Acesso em 01 Ago.2021.

PHILLIPS, M.C.K.; CINDERICH, A.B.; BURRELL, J.L.; RUPER, J.L.; WILL, R.G.; SHERIDAN, S.C.The Effect of Climate Change on Natural Disasters: A College Student Perspective. WEATHER CLIMATE AND SOCIETY. Kent State University, Ohio. v.7, p. 60-68, 1 Jan. 2015. DOI: https://doi.org/10.1175/WCAS-D-13-00038.1

RODRIGUES, M. L. G. O monitoramento e avisos de eventos meteorológicos extremos de Santa Catarina em 2020. Agropecuária Catarinense, v. 33, n. 3, p. 5-6, 2020. Disponível em: https://publicacoes.epagri.sc.gov.br/RAC/article/view/1082. Acesso em: 20 jun. 2021.

SAITO, S.M.; LIMA, G.R.T.; DIAS, M.C.A. Evaluation by the end-users of disaster risk warnings in Brazil. Sustainability in Debate - Brasília, v. 10, n.2, p. 38-53, Ago.2019. https://doi:10.18472/SustDeb.v10n2.2019.24908 DOI: https://doi.org/10.18472/SustDeb.v10n2.2019.24908

SANTA CATARINA, Defesa Civil. Nowcast – Alerta SMS. Santa Catarina, 2021. Disponível em: <https://www.defesacivil.sc.gov.br/alertas-sms/>. Acesso em: 03 Jun. 2021.

SILLMANN, J., SIPPEL, S., RUSSO, S., 2019. Climate Extremes and Their Implications for Impact and Risk Assessment. 1 ed. Oxford, Reino Unido: Elsevier, 2019. https://doi.org/10.1016/C2017-0-01794-9. DOI: https://doi.org/10.1016/B978-0-12-814895-2.00001-X

SORENSEN, J.H. Hazard warning systems: Review of 20 years of progress. Natural Hazards Review. v. 1, n. 2, p. 119-125, Mai. 2000. https://doi.org/10.1061/(ASCE)1527-6988(2000)1:2(119) DOI: https://doi.org/10.1061/(ASCE)1527-6988(2000)1:2(119)

SORIANO, E.; HOFFMANN, W. The evolution of the protection systems against natural disasters in Brazil: laws, agencies, information and knowledge. In: Management of Natural Disasters. Southampton: WIT Press, v. 150, p. 49-58. 2016. https://doi.org/10.2495/DMAN150051 DOI: https://doi.org/10.2495/978-1-78466-229-5/006

SULAIMAN, S.M.; ALEDO, A. Desastres naturais: convivência com o risco. Dilemas ambientais e fronteiras do conhecimento. Estudos Avançados. v. 30, n. 88, p. 11-23, Set-Dez 2016. https://doi.org/10.1590/S0103-40142016.30880003 DOI: https://doi.org/10.1590/s0103-40142016.30880003

TRAJBER, R.; OLIVATO, D.; MARCHEZINI, V. Conceitos e Termos para a Gestão de Riscos de Desastres na Educação. CEMADEN. 03 Abr. 2017. Disponível em:( http://educacao.cemaden.gov.br/site/mediaLibrary/MTAwMDAwMDAwMTg=%20) Acesso: 19 Ago. 2021.

UFSC/CEPED. Universidade Federal de Santa Catarina. Centro Universitário de Estudos e Pesquisas sobre Desastres. Atlas Brasileiro de Desastres Naturais: 1991 a 2012. 2. ed. rev. ampl. Florianópolis: CEPED/UFSC, 2013.

UNDRR, United Nations Office For Disaster Risk Reduction. Terminology - Early Warning System. Disponível em: (https://www.undrr.org/terminology/disaster). Acesso: 22 Set. 2021.

UNISDR, United Nations Office For Disaster Risk Reduction. Early Warning – From Concept to Action: the Conclusions of the Third International Conference on Early Warning (EWC III). Bonn. Alemanha. 10 p. 27-29 Mar. 2006.

UNDP, United Nations Development Programme. Five approaches to build functional early warning systems. p. 67, Servia, 2018.

UNOOSA, United Nation Office for Outter Space Affairs, UN-SPIDER Newsletter. v.1, p. 1-6, 24 Jan. 2020. Disponível em: (https://www.un-spider.org/sites/default/files/20-01-UN-SPIDER-Newsletter-Emergency-Response_web.pdf) Acesso: 26 Mar. 2021

VAZQUEZ, Fabio Guimarães. Alertas de desastres socioambientais no Estado de Santa Catarina sob a perspectiva da Ciência da Informação. 2018. 155 p.Dissertação (Mestrado) - Universidade Federal de Santa Catarina, Centro de Ciências da Educação, Programa de Pós Graduação em Ciência da Informação, Florianópolis, 2018.

WALSH, J., D. WUEBBLES, K. HAYHOE, J. KOSSIN, K. KUNKEL, G. STEPHENS, P. THORNE, R. VOSE, M. WEHNER, J. WILLIS, D. ANDERSON, S. DONEY, R. FEELY, P. HENNON, V. KHARIN, T. KNUTSON, F. LANDERER, T. LENTON, J. KENNEDY, AND R. SOMERVILLE. CHAPTER 2 OUR CHANGING CLIMATE. Climate Change Impacts in the United States: The Third National Climate Assessment. J. M. Melillo, Terese (T.C.) Richmond, and G. W. Yohe, Eds., U.S. Global Change Research Program, p. 19-67, Out. 2014. https://doi:10.7930/J0KW5CXT. DOI: https://doi.org/10.7930/J0KW5CXT

WMO A, (2019) Basic Documents No. 1. World Meteorological Organization. Geneva, Switzerland, v. 15, nº 15, p. 206, 2019.

ZSCHEISCHLER, Jakob. Introduction to the special issue: Compound weather and climate events. p. 1-3, Weather and Climate Extremes. 27 Ago. 2021. https://doi.org/10.1016/j.wace.2021.100381 DOI: https://doi.org/10.1016/j.wace.2021.100381

Published

12-12-2021

How to Cite

Pugas, A., & Vitor, A. (2021). Nowcasting: Analysis of the monitoring and warning system for civil defense in the state of Santa Catarina. Estrabão, 2(1), 157–169. https://doi.org/10.53455/re.v2i.38

Issue

Section

Short Comunication