Fuel treatment barrier allocation using a kriging metamodel
Efficient wildfire risk reduction policies have turned into a main priority for many fire departments in the globe. The preservation of the current reserves includes the consideration that we must incur in economic expenses in order to reduce the environmental cost of these disasters. This paper pre...
- Autores:
-
Morales Zamora, Gilberto Andrés José
- Tipo de recurso:
- Fecha de publicación:
- 2016
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/13724
- Acceso en línea:
- http://hdl.handle.net/1992/13724
- Palabra clave:
- Evaluación de riesgos contra incendios - Investigaciones - Métodos estadísiticos
Incendios de arbustos - Prevención y control - Investigaciones - Métodos estadísiticos
Combustibles - Control - Investigaciones
Optimización matemática - Métodos de simulación - Investigaciones
Geología - Métodos estadísticos - Investigaciones
Kriging
Ingeniería
- Rights
- openAccess
- License
- https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf
| Summary: | Efficient wildfire risk reduction policies have turned into a main priority for many fire departments in the globe. The preservation of the current reserves includes the consideration that we must incur in economic expenses in order to reduce the environmental cost of these disasters. This paper presents a methodology for developing fuel control policies that attempt to strategically reduce the expected damages caused by probable fires. We present an metamodel that optimizes the fuel control policy by allocating barriers in the forest. These allocation is done by using a black box algorithm based in a kriging metamodel for simulation based optimization. We tested Our algorithm in the allocation of the barriers a forest reserve in Bogotá, Colombia having a considerable reduction in the sim of expected fires, considering the size of the reserve |
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