دانلود رایگان مقاله لاتین مدل سازی انتشار آتش سوزی بیابانی با مدل شبکه نیمه فیزیکی از سایت الزویر
عنوان فارسی مقاله:
مدل سازی انتشار آتش سوزی بیابانی با استفاده از یک مدل شبکه نیمه فیزیکی
عنوان انگلیسی مقاله:
Modeling wildland fire propagation using a semi-physical network model
سال انتشار : 2015
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مقدمه انگلیسی مقاله:
1. Introduction
With global warming and ever-increasing urban-interface areas, forest fires have become a major issue in terms of human casualties, economic losses, and environmental damage. Fire modeling is used to understand and to predict possible fire behavior. Fire propagation models belong to different types depending on the approach they use. They are divided into stochastic and deterministic models, the latter being either empirical or based on the laws of physics. The model developed by Porterie et al. [1,2] combines the features of a stochastic network model with those of a semi-physical model of the interaction between the fire front and the vegetative fuel. As stated in [3], it has the advantage of taking into account physical effects well beyond the nearest neighbors of a burning site, such as flame-induced radiative effects or firebrand impact. This model combines the solid flame model and the Monte Carlo method to calculate radiation. However, this model does not take into account heat transfer by convection [3], which plays an important role in wind-driven surface fires. Indeed, as shown in [4,5], on a wide range of scales for relatively low fuel loads, fire spread is mainly governed by convective heat transfer. To take into account this important mechanism of heat transfer, the above-mentioned radiation-driven fire model is coupled with the thermal model of Koo et al. [6], in which vegetation is considered as a porous fuel layer through which the fire spreads by convection and radiation. This paper is organized as follows. First, the one-dimensional thermal model is extended to two dimensions where vegetation is depicted as a regular network of combustible cells. Second, we compare model results with data fromlaboratory-scale and prescribed burning experiments. Third, a sensitivity analysis is conducted to identify the most influential input model parameters controlling fire propagation. Finally, in the last section conclusions are drawn and recommendations are made for future work.
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کلمات کلیدی:
A review of wildland fire spread modelling, 1990-present, 1: Physical ... https://arxiv.org/pdf/0706.3074 by AL Sullivan - 2007 - Cited by 30 - Related articles Jun 21, 2007 - These models are based on the fundamental chemistry and/or physics of ... a model as semi-empirical or semi-physical is a 'glass half-full or half-empty' ... lished much earlier that discussed the processes in wildland fire propagation themselves. ... deterministic physical model of wildland fire behaviour: 1. A review of wildland fire spread modelling, 1990-present 3 ... https://arxiv.org/pdf/0706.4130 by AL Sullivan - 2007 - Cited by 22 - Related articles Jun 28, 2007 - prehensive review of physical wildland fire modelling proposed a ... possible approaches and, given that describing a model as semi-empirical or semi-physical .... The propagation of the fire is then carried using some form of ... an object-oriented environment applied to a semi-physical model of ... https://pdfs.semanticscholar.org/c28c/3f5ffc321e04559e9b11e7304e57046e1557.pdf by A Muzy - Cited by 10 - Related articles SEMI-PHYSICAL MODEL OF FIRE SPREAD ACROSS A FUEL BED ... This semi-physical bidimensional model is based on a diffusion reaction equation. ... DEVS formalism applied to a more physical model propagation which give ... Since the forest fire spread model and the simulation process have already been detailed. A hybrid small-world network/semi-physical model for predicting ... iopscience.iop.org/article/10.1088/1742-6596/395/1/012008/meta by Y Billaud - 2012 - Cited by 4 - Related articles A hybrid small-world network/semi-physical model for predicting wildfire spread in ... which combines a broad-scale stochastic small-world network model with a ... to evaluate the influence of variations of model parameters on fire propagation. Wildland Fire Danger Estimation and Mapping: The Role of Remote ... https://books.google.com/books?isbn=9812791175 Emilio Chuvieco - 2003 - Nature Chapter 1 Introduction to Fire Danger Rating and Remote Sensing — Will Remote ... Based on meteorological input data and physical, semi-physical or empirical ... physical conditions that may lead to fire ignition and support fire propagation ...
