One of the challenges still open to wildland fire simulators is the capacity of working under real- time constrains with the aim of providing fire spread predictions that could be useful in fire mitigation interventions. In this paper, a parallel optimization framework for improving wildland fire prediction is applied to a real laboratory fire. The proposed prediction methodology has been tested on a Linux cluster using MPI.

العنوان

Recent Advances in Parallel Virtual Machine and Message Passing Interface, Volume 2840/2003, 520-528

الناشر

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بلد الناشر

فلسطين

نوع المنشور

Both (Printed and Online)

المجلد

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السنة

2003

الصفحات

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