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Authors
Abstract(s)
O Instituto de Socorros a Náufragos (ISN) tem como missão socorrer, prestar as-sistência a pessoas, embarcações ou navios em dificuldades no mar. Independente-mente da importância de um planeamento adequado ou de treino operacional, as enti-dades com atribuições na área do salvamento marítimo beneficiam da implementação de um sistema de resposta robusto e eficaz. A distribuição eficiente dos recursos de sal-vamento marítimo exige, por um lado, o relacionar das áreas costeiras com as zonas onde os acidentes normalmente ocorrem e, por outro lado, o desenvolvimento de um processo de planeamento em que as informações sobre o passado, o presente, bem como previsões para o futuro, possam ser consideradas.
Deste modo, ferramentas de análise espacial podem ser utilizadas para analisar e agregar dados de uma maneira mais significativa e eficaz, por forma a prevenir, planear ou mitigar eventos relacionados a riscos, como é o caso dos acidentes marítimos. Esta pesquisa pretende efetuar uma análise espacial da distribuição do dispositivo de salva-mento marítimo (DSM) do ISN em relação aos acidentes marítimos, e assim avaliar a sua capacidade para os abranger.
Para isso usaram-se dados do historial de acidentes marítimos com embarcações nas águas sob jurisdição ou soberania portuguesa, provenientes dos registos da Direção-Geral da Autoridade Marítima (DGAM), referentes ao período compreendido entre ja-neiro de 2011 e dezembro de 2016, e dados da última revisão do dispositivo de salva-mento marítimo (DSM), recolhidos junto do ISN. Foram elaborados mapas em SIG que combinam a distribuição espacial dos acidentes marítimos, a localização das estações salva-vidas e os buffers com a autonomia à velocidade máxima com carga máxima das embarcações salva-vidas. Foi também efetuada uma análise estatísticas aos dados dos acidentes marítimos.
The Life Saving Institute (ISN) has as its mission to assist people, vessels or ships in difficulties at sea. Regardless of the importance of an adequate planning or operational training, entities with assignments in the area of maritime rescue benefit from the im-plementation of a robust and effective response system. The efficient distribution of maritime rescue resources requires, on one hand, the linking of coastal areas to areas where accidents occur and, on the other hand, the development of a planning process in which information about the past, present, as well as forecasts for the future, can be considered. In this way, spatial analysis tools can be used to analyze and aggregate data in a more meaningful and effective way, in order to prevent, plan or mitigate risk-related events, such as maritime accidents. This research intends to make a spatial analysis of the distribution of the ISN maritime rescue device (DSM) in relation to maritime acci-dents, and thus to evaluate their capacity to cover them. For this we used data from the history of maritime accidents with vessels in waters under Portuguese jurisdiction or sovereignty, from the records of the Directorate Gen-eral of the Maritime Authority (DGAM) referred to the period from January 2011 to De-cember 2016, and data from the last review of the maritime rescue device (DSM), col-lected from the ISN. GIS maps have been developed that combine the spatial distribu-tion of marine casualties, the location of life-saving stations and buffers with autonomy at full-range and at full load lifesaving capacity. A statistical analysis of maritime accident data was also carried out.
The Life Saving Institute (ISN) has as its mission to assist people, vessels or ships in difficulties at sea. Regardless of the importance of an adequate planning or operational training, entities with assignments in the area of maritime rescue benefit from the im-plementation of a robust and effective response system. The efficient distribution of maritime rescue resources requires, on one hand, the linking of coastal areas to areas where accidents occur and, on the other hand, the development of a planning process in which information about the past, present, as well as forecasts for the future, can be considered. In this way, spatial analysis tools can be used to analyze and aggregate data in a more meaningful and effective way, in order to prevent, plan or mitigate risk-related events, such as maritime accidents. This research intends to make a spatial analysis of the distribution of the ISN maritime rescue device (DSM) in relation to maritime acci-dents, and thus to evaluate their capacity to cover them. For this we used data from the history of maritime accidents with vessels in waters under Portuguese jurisdiction or sovereignty, from the records of the Directorate Gen-eral of the Maritime Authority (DGAM) referred to the period from January 2011 to De-cember 2016, and data from the last review of the maritime rescue device (DSM), col-lected from the ISN. GIS maps have been developed that combine the spatial distribu-tion of marine casualties, the location of life-saving stations and buffers with autonomy at full-range and at full load lifesaving capacity. A statistical analysis of maritime accident data was also carried out.
Description
Keywords
Análise espacial Spatial analysis Acidentes marítimos Sistemas de Informação Geográfica Distribuição de recursos Cobertura Espacial Marine accidents Geographic Information Systems Re-source allocation