Detalhes bibliográficos
Ano de defesa: |
2013 |
Autor(a) principal: |
White, Larissa Alves Secundo
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Orientador(a): |
Ribeiro, Genésio Tâmara |
Banca de defesa: |
Não Informado pela instituição |
Tipo de documento: |
Dissertação
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Tipo de acesso: |
Acesso aberto |
Idioma: |
por |
Instituição de defesa: |
Não Informado pela instituição
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Programa de Pós-Graduação: |
Pós-Graduação em Agroecossistemas
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Departamento: |
Não Informado pela instituição
|
País: |
Não Informado pela instituição
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Palavras-chave em Português: |
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Palavras-chave em Inglês: |
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Área do conhecimento CNPq: |
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Link de acesso: |
https://ri.ufs.br/handle/riufs/6563
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Resumo: |
Every fire on the forest environment that escapes man's control is called forest fire. Despite the fire being a natural agent within ecosystems, when badly managed, can cause damage that involve environmental sphere as well as the economic and social. From the knowledge of the power of fire destruction emerges the sense of establishing prevention and fighting forest fires. In order to improve prevention activities in eucalyptus plantations of the city of Inhambupe was performed the estimate probability of fire occurrence and modeling forest fire risk. For this, initially, through the use of climatic variables, indexes of Angstron, Logarithmic of Telicyn, Rodríguez and Moretti, Nesterov, and the formulas of Monte Alegre and Monte Alegre Altered were compared, based on the evaluation of the Heidke Skill Score. Subsequently, the modeling of forest fire risk map was performed by developing and integrating preliminary risk maps of natural and social variables: slope, urban area, road system, network watershed, appearance and soil use and occupancy. Finally, both approaches was compared to historical occurrences of forest fires and registry of burned areas in plantations of eucalyptus, for the purpose of determined the applicability of them. By the obtained data it was determined for the city of Inhambupe that the Logarithmic of Telicyn Index and the adjusted Formula of Monte Alegre was appropriate to determine the probability of forest fires. Furthermore, it was shown that more than 75% of the area is at risk of "high" to "extreme" of the emergence and development of the same |